.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/kinematics/plotEMvsGAcomparisonSimulated.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code or to run this example in your browser via Binder .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_kinematics_plotEMvsGAcomparisonSimulated.py: Comparison between EM and gradient ascent for tracking a simulated mouse ======================================================================== The code below compares the expectation maximization (EM) and gradient ascent algorithm for tracking a simulated mouse. .. GENERATED FROM PYTHON SOURCE LINES 10-19 .. code-block:: default import numpy as np import torch import plotly.graph_objs as go import ssm.tracking.utils import ssm.simulation import ssm.learning .. GENERATED FROM PYTHON SOURCE LINES 20-37 Simulation ---------- We will simulate a linear dynamical system for tracking. The parameters of this model are highlighted in red. .. math:: \begin{equation} \begin{alignedat}{4} & x_n&&=A x_{n-1}+w_n&&\quad with\quad&&w_n\sim\mathcal{N}(0,\textcolor{red}{\sigma_a^2}Q_e),&&\quad x_n\in\mathbb{R}^6&&\label{eq:ssm}\\ & y_n&&=C x_n+v_n&&\quad with\quad&&v_n\sim\mathcal{N}(0,R),&&\quad y_n\in\mathbb{R}^2,&&\quad R=\left[\begin{array}{c,c} \textcolor{red}{\sigma_x^2}&0\\ 0&\textcolor{red}{\sigma_y^2} \end{array}\right]\\ & x_0&&\in\mathcal{N}(\textcolor{red}{m_0},\textcolor{red}{V_0})&& && \end{alignedat} \end{equation} .. GENERATED FROM PYTHON SOURCE LINES 39-41 Define simulation parameters ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .. GENERATED FROM PYTHON SOURCE LINES 41-64 .. code-block:: default pos_x0 = 0.0 pos_y0 = 0.0 vel_x0 = 0.0 vel_y0 = 0.0 acc_x0 = 0.0 acc_y0 = 0.0 dt = 1e-1 num_pos = 500 sigma_a_true = 0.1 sigma_x = 5e-0 sigma_y = 5e-0 sqrt_diag_V0_value = 1e-3 B, _, Qe, Z, R = ssm.tracking.utils.getLDSmatricesForKinematics_np( dt=dt, sigma_a=np.nan, pos_x_R_std=sigma_x, pos_y_R_std=sigma_y) Q_true = Qe*sigma_a_true**2 sqrt_diag_R = np.array([sigma_x, sigma_y]) m0 = np.array([pos_x0, vel_x0, acc_x0, pos_y0, vel_y0, acc_y0], dtype=np.double) sqrt_diag_V0 = np.ones(6)*sqrt_diag_V0_value V0 = np.diag(sqrt_diag_V0**2) .. GENERATED FROM PYTHON SOURCE LINES 65-69 Perform simulation ^^^^^^^^^^^^^^^^^^ Code for `ssm.simulation.simulateLDS `_ .. GENERATED FROM PYTHON SOURCE LINES 69-72 .. code-block:: default x0, x, y = ssm.simulation.simulateLDS(T=num_pos, B=B, Q=Q_true, Z=Z, R=R, m0=m0, V0=V0) .. GENERATED FROM PYTHON SOURCE LINES 73-75 Plot simulated state and measurement positions ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .. GENERATED FROM PYTHON SOURCE LINES 75-91 .. code-block:: default fig = go.Figure() trace_x = go.Scatter(x=x[0, :], y=x[3, :], mode="lines+markers", showlegend=True, name="pos. state mean") trace_y = go.Scatter(x=y[0, :], y=y[1, :], mode="lines+markers", showlegend=True, name="measurement", opacity=0.3) trace_start = go.Scatter(x=[x0[0]], y=[x0[3]], mode="markers", text="initial state", marker={"size": 7}, showlegend=False) fig.add_trace(trace_x) fig.add_trace(trace_y) fig.add_trace(trace_start) fig.update_layout(xaxis_title="horizontal direction", yaxis_title="vertical direction") fig .. raw:: html


.. GENERATED FROM PYTHON SOURCE LINES 92-94 Estimation of the :math:`\sigma_a^2` parameter only --------------------------------------------------- .. GENERATED FROM PYTHON SOURCE LINES 94-107 .. code-block:: default sigma_a0 = 0.25 ga_vars_to_estimate = {"sigma_a": True, "pos_x_R_std": False, "pos_y_R_std": False, "m0": False, "sqrt_diag_V0": False} em_vars_to_estimate = {"sigma_a": True, "R": False, "m0": False, "V0": False} em_max_iter = 200 lbfgs_max_iter = 2 lbfgs_n_epochs = 100 lbfgs_tolerance_grad = 1e-9 lbfgs_tolerance_change = 1e-7 .. GENERATED FROM PYTHON SOURCE LINES 108-110 Grid search ^^^^^^^^^^^ .. GENERATED FROM PYTHON SOURCE LINES 110-128 .. code-block:: default sigma_a_min = 0.001 sigma_a_max = 2.0 sigma_a_step = 0.005 sqrt_noise_intensities = np.arange(sigma_a_min, sigma_a_max, sigma_a_step) gs_log_likes = np.empty(len(sqrt_noise_intensities)) for i, sigma_a in enumerate(sqrt_noise_intensities): Q_gs = Qe * sigma_a**2 filterRes = ssm.inference.filterLDS_SS_withMissingValues_np( y=y, B=B, Q=Q_gs, m0=m0, V0=V0, Z=Z, R=R) gs_log_likes[i] = filterRes["logLike"] print(f"log likelihood for sigma_a={sigma_a:.04f}: {gs_log_likes[i]}") argmax = np.argmax(gs_log_likes) gs_max_ll = gs_log_likes[argmax] gs_max_sigma_a = sqrt_noise_intensities[argmax] print(f"max log likelihood: {gs_max_ll}, " f"max sigma_a: {gs_max_sigma_a}") .. rst-class:: sphx-glr-script-out .. code-block:: none log likelihood for sigma_a=0.0010: -17524.006211816642 log likelihood for sigma_a=0.0060: -3640.846921388277 log likelihood for sigma_a=0.0110: -3291.830915806264 log likelihood for sigma_a=0.0160: -3196.752434151069 log likelihood for sigma_a=0.0210: -3155.373427345535 log likelihood for sigma_a=0.0260: -3133.4453426806813 log likelihood for sigma_a=0.0310: -3120.4263883485323 log likelihood for sigma_a=0.0360: -3112.09384595978 log likelihood for sigma_a=0.0410: -3106.475433200822 log likelihood for sigma_a=0.0460: -3102.546589004807 log likelihood for sigma_a=0.0510: -3099.7302279170667 log likelihood for sigma_a=0.0560: -3097.679607838207 log likelihood for sigma_a=0.0610: -3096.1750715283 log likelihood for sigma_a=0.0660: -3095.071240989042 log likelihood for sigma_a=0.0710: -3094.2683317005276 log likelihood for sigma_a=0.0760: -3093.6957426484414 log likelihood for sigma_a=0.0810: -3093.302236370567 log likelihood for sigma_a=0.0860: -3093.0498254529107 log likelihood for sigma_a=0.0910: -3092.9098316984037 log likelihood for sigma_a=0.0960: -3092.8602669458705 log likelihood for sigma_a=0.1010: -3092.884045041279 log likelihood for sigma_a=0.1060: -3092.9677323201695 log likelihood for sigma_a=0.1110: -3093.100656419926 log likelihood for sigma_a=0.1160: -3093.274259252578 log likelihood for sigma_a=0.1210: -3093.4816198843005 log likelihood for sigma_a=0.1260: -3093.7170978723534 log likelihood for sigma_a=0.1310: -3093.9760634198788 log likelihood for sigma_a=0.1360: -3094.2546910204182 log likelihood for sigma_a=0.1410: -3094.5498001355354 log likelihood for sigma_a=0.1460: -3094.85873111573 log likelihood for sigma_a=0.1510: -3095.179247802405 log likelihood for sigma_a=0.1560: -3095.509460515195 log likelihood for sigma_a=0.1610: -3095.8477647448417 log likelihood for sigma_a=0.1660: -3096.1927920384005 log likelihood for sigma_a=0.1710: -3096.5433704152874 log likelihood for sigma_a=0.1760: -3096.8984922822847 log likelihood for sigma_a=0.1810: -3097.2572882843447 log likelihood for sigma_a=0.1860: -3097.6190058807138 log likelihood for sigma_a=0.1910: -3097.982991702681 log likelihood for sigma_a=0.1960: -3098.348676954014 log likelihood for sigma_a=0.2010: -3098.715565271049 log likelihood for sigma_a=0.2060: -3099.083222580725 log likelihood for sigma_a=0.2110: -3099.4512685894265 log likelihood for sigma_a=0.2160: -3099.819369608426 log likelihood for sigma_a=0.2210: -3100.1872324800383 log likelihood for sigma_a=0.2260: -3100.554599414133 log likelihood for sigma_a=0.2310: -3100.9212435803347 log likelihood for sigma_a=0.2360: -3101.286965330829 log likelihood for sigma_a=0.2410: -3101.651588950559 log likelihood for sigma_a=0.2460: -3102.01495985161 log likelihood for sigma_a=0.2510: -3102.3769421419247 log likelihood for sigma_a=0.2560: -3102.737416511191 log likelihood for sigma_a=0.2610: -3103.096278386564 log likelihood for sigma_a=0.2660: -3103.4534363190946 log likelihood for sigma_a=0.2710: -3103.8088105669594 log likelihood for sigma_a=0.2760: -3104.1623318488523 log likelihood for sigma_a=0.2810: -3104.5139402431105 log likelihood for sigma_a=0.2860: -3104.86358421428 log likelihood for sigma_a=0.2910: -3105.211219748926 log likelihood for sigma_a=0.2960: -3105.5568095877493 log likelihood for sigma_a=0.3010: -3105.9003225410383 log likelihood for sigma_a=0.3060: -3106.241732877554 log likelihood for sigma_a=0.3110: -3106.5810197781675 log likelihood for sigma_a=0.3160: -3106.918166845554 log likelihood for sigma_a=0.3210: -3107.2531616645697 log likelihood for sigma_a=0.3260: -3107.5859954067696 log likelihood for sigma_a=0.3310: -3107.916662474369 log likelihood for sigma_a=0.3360: -3108.2451601789207 log likelihood for sigma_a=0.3410: -3108.571488451644 log likelihood for sigma_a=0.3460: -3108.8956495814123 log likelihood for sigma_a=0.3510: -3109.217647977278 log likelihood for sigma_a=0.3560: -3109.5374899540034 log likelihood for sigma_a=0.3610: -3109.8551835372 log likelihood for sigma_a=0.3660: -3110.1707382865516 log likelihood for sigma_a=0.3710: -3110.484165135336 log likelihood for sigma_a=0.3760: -3110.7954762445565 log likelihood for sigma_a=0.3810: -3111.1046848703304 log likelihood for sigma_a=0.3860: -3111.4118052430717 log likelihood for sigma_a=0.3910: -3111.7168524579706 log likelihood for sigma_a=0.3960: -3112.0198423743886 log likelihood for sigma_a=0.4010: -3112.3207915251874 log likelihood for sigma_a=0.4060: -3112.6197170334326 log likelihood for sigma_a=0.4110: -3112.9166365366746 log likelihood for sigma_a=0.4160: -3113.211568117868 log likelihood for sigma_a=0.4210: -3113.504530242711 log likelihood for sigma_a=0.4260: -3113.7955417017324 log likelihood for sigma_a=0.4310: -3114.084621558469 log likelihood for sigma_a=0.4360: -3114.371789101378 log likelihood for sigma_a=0.4410: -3114.6570638007083 log likelihood for sigma_a=0.4460: -3114.940465268517 log likelihood for sigma_a=0.4510: -3115.2220132228163 log likelihood for sigma_a=0.4560: -3115.5017274543816 log likelihood for sigma_a=0.4610: -3115.779627797463 log likelihood for sigma_a=0.4660: -3116.0557341019335 log likelihood for sigma_a=0.4710: -3116.3300662088977 log likelihood for sigma_a=0.4760: -3116.6026439282 log likelihood for sigma_a=0.4810: -3116.8734870180033 log likelihood for sigma_a=0.4860: -3117.1426151665055 log likelihood for sigma_a=0.4910: -3117.41004797515 log likelihood for sigma_a=0.4960: -3117.675804943332 log likelihood for sigma_a=0.5010: -3117.939905455481 log likelihood for sigma_a=0.5060: -3118.2023687679325 log likelihood for sigma_a=0.5110: -3118.4632139986898 log likelihood for sigma_a=0.5160: -3118.722460117308 log likelihood for sigma_a=0.5210: -3118.980125936 log likelihood for sigma_a=0.5260: -3119.2362301021303 log likelihood for sigma_a=0.5310: -3119.490791091094 log likelihood for sigma_a=0.5360: -3119.7438272000736 log likelihood for sigma_a=0.5410: -3119.995356543248 log likelihood for sigma_a=0.5460: -3120.2453970465112 log likelihood for sigma_a=0.5510: -3120.4939664437798 log likelihood for sigma_a=0.5560: -3120.7410822735264 log likelihood for sigma_a=0.5610: -3120.986761875961 log likelihood for sigma_a=0.5660: -3121.2310223903387 log likelihood for sigma_a=0.5710: -3121.473880753208 log likelihood for sigma_a=0.5760: -3121.7153536971323 log likelihood for sigma_a=0.5810: -3121.955457748845 log likelihood for sigma_a=0.5860: -3122.194209229003 log likelihood for sigma_a=0.5910: -3122.4316242515633 log likelihood for sigma_a=0.5960: -3122.6677187233618 log likelihood for sigma_a=0.6010: -3122.902508344384 log likelihood for sigma_a=0.6060: -3123.1360086081663 log likelihood for sigma_a=0.6110: -3123.368234801766 log likelihood for sigma_a=0.6160: -3123.599202007291 log likelihood for sigma_a=0.6210: -3123.828925102109 log likelihood for sigma_a=0.6260: -3124.057418760245 log likelihood for sigma_a=0.6310: -3124.2846974536005 log likelihood for sigma_a=0.6360: -3124.510775453142 log likelihood for sigma_a=0.6410: -3124.7356668306797 log likelihood for sigma_a=0.6460: -3124.959385460099 log likelihood for sigma_a=0.6510: -3125.1819450192725 log likelihood for sigma_a=0.6560: -3125.4033589919845 log likelihood for sigma_a=0.6610: -3125.6236406693315 log likelihood for sigma_a=0.6660: -3125.8428031522253 log likelihood for sigma_a=0.6710: -3126.060859352835 log likelihood for sigma_a=0.6760: -3126.277821997029 log likelihood for sigma_a=0.6810: -3126.4937036264114 log likelihood for sigma_a=0.6860: -3126.7085166002594 log likelihood for sigma_a=0.6910: -3126.922273098009 log likelihood for sigma_a=0.6960: -3127.1349851210866 log likelihood for sigma_a=0.7010: -3127.3466644955274 log likelihood for sigma_a=0.7060: -3127.5573228739313 log likelihood for sigma_a=0.7110: -3127.76697173789 log likelihood for sigma_a=0.7160: -3127.975622400215 log likelihood for sigma_a=0.7210: -3128.1832860070817 log likelihood for sigma_a=0.7260: -3128.3899735405716 log likelihood for sigma_a=0.7310: -3128.595695820962 log likelihood for sigma_a=0.7360: -3128.800463508658 log likelihood for sigma_a=0.7410: -3129.0042871068918 log likelihood for sigma_a=0.7460: -3129.20717696383 log likelihood for sigma_a=0.7510: -3129.409143274691 log likelihood for sigma_a=0.7560: -3129.610196084352 log likelihood for sigma_a=0.7610: -3129.8103452892587 log likelihood for sigma_a=0.7660: -3130.009600639905 log likelihood for sigma_a=0.7710: -3130.207971742856 log likelihood for sigma_a=0.7760: -3130.4054680630966 log likelihood for sigma_a=0.7810: -3130.602098926193 log likelihood for sigma_a=0.7860: -3130.7978735204465 log likelihood for sigma_a=0.7910: -3130.992800898763 log likelihood for sigma_a=0.7960: -3131.1868899813626 log likelihood for sigma_a=0.8010: -3131.3801495574444 log likelihood for sigma_a=0.8060: -3131.5725882872393 log likelihood for sigma_a=0.8110: -3131.764214704255 log likelihood for sigma_a=0.8160: -3131.9550372171684 log likelihood for sigma_a=0.8210: -3132.145064112163 log likelihood for sigma_a=0.8260: -3132.334303554328 log likelihood for sigma_a=0.8310: -3132.522763590149 log likelihood for sigma_a=0.8360: -3132.710452149059 log likelihood for sigma_a=0.8410: -3132.897377045551 log likelihood for sigma_a=0.8460: -3133.0835459812065 log likelihood for sigma_a=0.8510: -3133.268966546065 log likelihood for sigma_a=0.8560: -3133.453646220819 log likelihood for sigma_a=0.8610: -3133.637592378742 log likelihood for sigma_a=0.8660: -3133.820812286835 log likelihood for sigma_a=0.8710: -3134.003313108546 log likelihood for sigma_a=0.8760: -3134.1851019044793 log likelihood for sigma_a=0.8810: -3134.3661856346025 log likelihood for sigma_a=0.8860: -3134.546571160204 log likelihood for sigma_a=0.8910: -3134.726265244884 log likelihood for sigma_a=0.8960: -3134.9052745565177 log likelihood for sigma_a=0.9010: -3135.0836056688418 log likelihood for sigma_a=0.9060: -3135.2612650631795 log likelihood for sigma_a=0.9110: -3135.438259129416 log likelihood for sigma_a=0.9160: -3135.6145941683453 log likelihood for sigma_a=0.9210: -3135.7902763924308 log likelihood for sigma_a=0.9260: -3135.9653119274735 log likelihood for sigma_a=0.9310: -3136.139706814489 log likelihood for sigma_a=0.9360: -3136.3134670105146 log likelihood for sigma_a=0.9410: -3136.4865983903446 log likelihood for sigma_a=0.9460: -3136.6591067477034 log likelihood for sigma_a=0.9510: -3136.8309977968747 log likelihood for sigma_a=0.9560: -3137.002277173906 log likelihood for sigma_a=0.9610: -3137.1729504376835 log likelihood for sigma_a=0.9660: -3137.3430230714557 log likelihood for sigma_a=0.9710: -3137.5125004842166 log likelihood for sigma_a=0.9760: -3137.681388011606 log likelihood for sigma_a=0.9810: -3137.849690917154 log likelihood for sigma_a=0.9860: -3138.0174143938434 log likelihood for sigma_a=0.9910: -3138.1845635650106 log likelihood for sigma_a=0.9960: -3138.351143485465 log likelihood for sigma_a=1.0010: -3138.5171591426383 log likelihood for sigma_a=1.0060: -3138.6826154577534 log likelihood for sigma_a=1.0110: -3138.8475172870117 log likelihood for sigma_a=1.0160: -3139.0118694224902 log likelihood for sigma_a=1.0210: -3139.175676593271 log likelihood for sigma_a=1.0260: -3139.338943466515 log likelihood for sigma_a=1.0310: -3139.501674648444 log likelihood for sigma_a=1.0360: -3139.6638746850485 log likelihood for sigma_a=1.0410: -3139.825548063867 log likelihood for sigma_a=1.0460: -3139.9866992139396 log likelihood for sigma_a=1.0510: -3140.147332507596 log likelihood for sigma_a=1.0560: -3140.3074522608413 log likelihood for sigma_a=1.0610: -3140.467062734437 log likelihood for sigma_a=1.0660: -3140.626168134961 log likelihood for sigma_a=1.0710: -3140.7847726155696 log likelihood for sigma_a=1.0760: -3140.942880276695 log likelihood for sigma_a=1.0810: -3141.100495166916 log likelihood for sigma_a=1.0860: -3141.2576212843146 log likelihood for sigma_a=1.0910: -3141.41426257665 log likelihood for sigma_a=1.0960: -3141.5704229421813 log likelihood for sigma_a=1.1010: -3141.726106231161 log likelihood for sigma_a=1.1060: -3141.881316245748 log likelihood for sigma_a=1.1110: -3142.0360567412718 log likelihood for sigma_a=1.1160: -3142.19033142691 log likelihood for sigma_a=1.1210: -3142.3441439662 log likelihood for sigma_a=1.1260: -3142.4974979779945 log likelihood for sigma_a=1.1310: -3142.6503970372187 log likelihood for sigma_a=1.1360: -3142.802844675244 log likelihood for sigma_a=1.1410: -3142.954844380859 log likelihood for sigma_a=1.1460: -3143.106399600888 log likelihood for sigma_a=1.1510: -3143.2575137406675 log likelihood for sigma_a=1.1560: -3143.408190165006 log likelihood for sigma_a=1.1610: -3143.558432198445 log likelihood for sigma_a=1.1660: -3143.708243126182 log likelihood for sigma_a=1.1710: -3143.857626194686 log likelihood for sigma_a=1.1760: -3144.006584611931 log likelihood for sigma_a=1.1810: -3144.155121548418 log likelihood for sigma_a=1.1860: -3144.303240137585 log likelihood for sigma_a=1.1910: -3144.450943476192 log likelihood for sigma_a=1.1960: -3144.5982346252163 log likelihood for sigma_a=1.2010: -3144.745116610331 log likelihood for sigma_a=1.2060: -3144.8915924219777 log likelihood for sigma_a=1.2110: -3145.0376650165563 log likelihood for sigma_a=1.2160: -3145.1833373166783 log likelihood for sigma_a=1.2210: -3145.328612211598 log likelihood for sigma_a=1.2260: -3145.4734925575435 log likelihood for sigma_a=1.2310: -3145.6179811788174 log likelihood for sigma_a=1.2360: -3145.762080867574 log likelihood for sigma_a=1.2410: -3145.90579438491 log likelihood for sigma_a=1.2460: -3146.0491244606033 log likelihood for sigma_a=1.2510: -3146.1920737945998 log likelihood for sigma_a=1.2560: -3146.3346450562367 log likelihood for sigma_a=1.2610: -3146.476840885843 log likelihood for sigma_a=1.2660: -3146.6186638942077 log likelihood for sigma_a=1.2710: -3146.760116663932 log likelihood for sigma_a=1.2760: -3146.90120174881 log likelihood for sigma_a=1.2810: -3147.0419216752193 log likelihood for sigma_a=1.2860: -3147.1822789419807 log likelihood for sigma_a=1.2910: -3147.322276020674 log likelihood for sigma_a=1.2960: -3147.461915356639 log likelihood for sigma_a=1.3010: -3147.6011993684215 log likelihood for sigma_a=1.3060: -3147.7401304492473 log likelihood for sigma_a=1.3110: -3147.8787109663235 log likelihood for sigma_a=1.3160: -3148.0169432619537 log likelihood for sigma_a=1.3210: -3148.1548296536353 log likelihood for sigma_a=1.3260: -3148.2923724344046 log likelihood for sigma_a=1.3310: -3148.429573873124 log likelihood for sigma_a=1.3360: -3148.5664362150774 log likelihood for sigma_a=1.3410: -3148.7029616818654 log likelihood for sigma_a=1.3460: -3148.8391524721696 log likelihood for sigma_a=1.3510: -3148.9750107619147 log likelihood for sigma_a=1.3560: -3149.110538704403 log likelihood for sigma_a=1.3610: -3149.2457384309296 log likelihood for sigma_a=1.3660: -3149.3806120510685 log likelihood for sigma_a=1.3710: -3149.5151616524845 log likelihood for sigma_a=1.3760: -3149.6493893018937 log likelihood for sigma_a=1.3810: -3149.783297045161 log likelihood for sigma_a=1.3860: -3149.9168869070536 log likelihood for sigma_a=1.3910: -3150.050160892363 log likelihood for sigma_a=1.3960: -3150.1831209856846 log likelihood for sigma_a=1.4010: -3150.315769151714 log likelihood for sigma_a=1.4060: -3150.4481073355187 log likelihood for sigma_a=1.4110: -3150.5801374629045 log likelihood for sigma_a=1.4160: -3150.711861440862 log likelihood for sigma_a=1.4210: -3150.8432811573575 log likelihood for sigma_a=1.4260: -3150.974398481875 log likelihood for sigma_a=1.4310: -3151.1052152654443 log likelihood for sigma_a=1.4360: -3151.2357333414534 log likelihood for sigma_a=1.4410: -3151.3659545251994 log likelihood for sigma_a=1.4460: -3151.4958806143313 log likelihood for sigma_a=1.4510: -3151.6255133892455 log likelihood for sigma_a=1.4560: -3151.754854613377 log likelihood for sigma_a=1.4610: -3151.8839060331948 log likelihood for sigma_a=1.4660: -3152.0126693781904 log likelihood for sigma_a=1.4710: -3152.1411463618724 log likelihood for sigma_a=1.4760: -3152.2693386810647 log likelihood for sigma_a=1.4810: -3152.3972480170073 log likelihood for sigma_a=1.4860: -3152.5248760346626 log likelihood for sigma_a=1.4910: -3152.6522243836375 log likelihood for sigma_a=1.4960: -3152.779294698048 log likelihood for sigma_a=1.5010: -3152.9060885967237 log likelihood for sigma_a=1.5060: -3153.0326076835713 log likelihood for sigma_a=1.5110: -3153.158853547545 log likelihood for sigma_a=1.5160: -3153.284827763069 log likelihood for sigma_a=1.5210: -3153.410531889801 log likelihood for sigma_a=1.5260: -3153.535967473362 log likelihood for sigma_a=1.5310: -3153.661136045314 log likelihood for sigma_a=1.5360: -3153.7860391230047 log likelihood for sigma_a=1.5410: -3153.9106782102203 log likelihood for sigma_a=1.5460: -3154.035054796998 log likelihood for sigma_a=1.5510: -3154.159170360102 log likelihood for sigma_a=1.5560: -3154.283026363024 log likelihood for sigma_a=1.5610: -3154.4066242559807 log likelihood for sigma_a=1.5660: -3154.5299654763253 log likelihood for sigma_a=1.5710: -3154.653051448703 log likelihood for sigma_a=1.5760: -3154.7758835850304 log likelihood for sigma_a=1.5810: -3154.8984632847546 log likelihood for sigma_a=1.5860: -3155.020791935089 log likelihood for sigma_a=1.5910: -3155.142870910898 log likelihood for sigma_a=1.5960: -3155.2647015752514 log likelihood for sigma_a=1.6010: -3155.386285279129 log likelihood for sigma_a=1.6060: -3155.507623361739 log likelihood for sigma_a=1.6110: -3155.62871715088 log likelihood for sigma_a=1.6160: -3155.7495679626636 log likelihood for sigma_a=1.6210: -3155.8701771019623 log likelihood for sigma_a=1.6260: -3155.9905458623716 log likelihood for sigma_a=1.6310: -3156.1106755267147 log likelihood for sigma_a=1.6360: -3156.230567366321 log likelihood for sigma_a=1.6410: -3156.3502226422956 log likelihood for sigma_a=1.6460: -3156.4696426046153 log likelihood for sigma_a=1.6510: -3156.5888284927546 log likelihood for sigma_a=1.6560: -3156.707781536093 log likelihood for sigma_a=1.6610: -3156.82650295315 log likelihood for sigma_a=1.6660: -3156.9449939528104 log likelihood for sigma_a=1.6710: -3157.0632557333092 log likelihood for sigma_a=1.6760: -3157.1812894831974 log likelihood for sigma_a=1.6810: -3157.299096381309 log likelihood for sigma_a=1.6860: -3157.4166775964145 log likelihood for sigma_a=1.6910: -3157.534034287762 log likelihood for sigma_a=1.6960: -3157.6511676052396 log likelihood for sigma_a=1.7010: -3157.7680786889396 log likelihood for sigma_a=1.7060: -3157.8847686701006 log likelihood for sigma_a=1.7110: -3158.0012386703156 log likelihood for sigma_a=1.7160: -3158.1174898022564 log likelihood for sigma_a=1.7210: -3158.2335231696397 log likelihood for sigma_a=1.7260: -3158.3493398672053 log likelihood for sigma_a=1.7310: -3158.4649409807853 log likelihood for sigma_a=1.7360: -3158.5803275877347 log likelihood for sigma_a=1.7410: -3158.6955007566435 log likelihood for sigma_a=1.7460: -3158.810461547397 log likelihood for sigma_a=1.7510: -3158.925211011725 log likelihood for sigma_a=1.7560: -3159.039750192834 log likelihood for sigma_a=1.7610: -3159.154080125933 log likelihood for sigma_a=1.7660: -3159.268201837706 log likelihood for sigma_a=1.7710: -3159.382116346923 log likelihood for sigma_a=1.7760: -3159.4958246646042 log likelihood for sigma_a=1.7810: -3159.60932779345 log likelihood for sigma_a=1.7860: -3159.722626728524 log likelihood for sigma_a=1.7910: -3159.8357224572874 log likelihood for sigma_a=1.7960: -3159.948615959391 log likelihood for sigma_a=1.8010: -3160.0613082067684 log likelihood for sigma_a=1.8060: -3160.1738001643707 log likelihood for sigma_a=1.8110: -3160.286092789049 log likelihood for sigma_a=1.8160: -3160.3981870309835 log likelihood for sigma_a=1.8210: -3160.51008383253 log likelihood for sigma_a=1.8260: -3160.6217841292264 log likelihood for sigma_a=1.8310: -3160.7332888493625 log likelihood for sigma_a=1.8360: -3160.844598914171 log likelihood for sigma_a=1.8410: -3160.9557152380826 log likelihood for sigma_a=1.8460: -3161.0666387283495 log likelihood for sigma_a=1.8510: -3161.177370285702 log likelihood for sigma_a=1.8560: -3161.2879108039224 log likelihood for sigma_a=1.8610: -3161.398261170077 log likelihood for sigma_a=1.8660: -3161.5084222649884 log likelihood for sigma_a=1.8710: -3161.618394962393 log likelihood for sigma_a=1.8760: -3161.7281801299614 log likelihood for sigma_a=1.8810: -3161.8377786286715 log likelihood for sigma_a=1.8860: -3161.9471913133634 log likelihood for sigma_a=1.8910: -3162.0564190325504 log likelihood for sigma_a=1.8960: -3162.1654626283657 log likelihood for sigma_a=1.9010: -3162.2743229369116 log likelihood for sigma_a=1.9060: -3162.3830007883384 log likelihood for sigma_a=1.9110: -3162.4914970063023 log likelihood for sigma_a=1.9160: -3162.5998124089037 log likelihood for sigma_a=1.9210: -3162.7079478083147 log likelihood for sigma_a=1.9260: -3162.815904010475 log likelihood for sigma_a=1.9310: -3162.923681815959 log likelihood for sigma_a=1.9360: -3163.0312820191557 log likelihood for sigma_a=1.9410: -3163.1387054092856 log likelihood for sigma_a=1.9460: -3163.245952769396 log likelihood for sigma_a=1.9510: -3163.3530248774105 log likelihood for sigma_a=1.9560: -3163.4599225052866 log likelihood for sigma_a=1.9610: -3163.5666464199667 log likelihood for sigma_a=1.9660: -3163.6731973826677 log likelihood for sigma_a=1.9710: -3163.779576149239 log likelihood for sigma_a=1.9760: -3163.88578347032 log likelihood for sigma_a=1.9810: -3163.991820091281 log likelihood for sigma_a=1.9860: -3164.097686752207 log likelihood for sigma_a=1.9910: -3164.2033841881002 log likelihood for sigma_a=1.9960: -3164.308913128729 max log likelihood: -3092.8602669458705, max sigma_a: 0.096 .. GENERATED FROM PYTHON SOURCE LINES 129-133 Gradient acent ^^^^^^^^^^^^^^ Code for `ssm.learning.torch_lbfgs_optimize_SS_tracking_diagV0 `_ .. GENERATED FROM PYTHON SOURCE LINES 133-149 .. code-block:: default m0_torch = torch.from_numpy(m0) sqrt_diag_V0_torch = torch.DoubleTensor([sqrt_diag_V0_value for i in range(len(m0))]) y_torch = torch.from_numpy(y.astype(np.double)) B_torch = torch.from_numpy(B.astype(np.double)) Qe_torch = torch.from_numpy(Qe.astype(np.double)) Z_torch = torch.from_numpy(Z.astype(np.double)) optim_res_ga = ssm.learning.torch_lbfgs_optimize_SS_tracking_diagV0( y=y_torch, B=B_torch, sigma_a0=sigma_a0, Qe=Qe_torch, Z=Z_torch, pos_x_R_std0=sigma_x, pos_y_R_std0=sigma_y, m0_0=m0_torch, sqrt_diag_V0_0=sqrt_diag_V0_torch, max_iter=lbfgs_max_iter, n_epochs=lbfgs_n_epochs, vars_to_estimate=ga_vars_to_estimate, tolerance_grad=lbfgs_tolerance_grad, tolerance_change=lbfgs_tolerance_change) .. rst-class:: sphx-glr-script-out .. code-block:: none /nfs/ghome/live/rapela/dev/work/ucl/gatsby-swc/gatsby/code/ssm_rapela/repos/ssm/src/ssm/inference.py:395: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3571.) -------------------------------------------------------------------------------- startup likelihood: -3102.3046470886297 ll=-3102.3046470886297, sigma_a=0.25 ll=-3129.3688077777233, sigma_a=-0.75 ll=-3182.1228477491404, sigma_a=0.01739221520360048 ll=-3092.8879637639525, sigma_a=0.10134069188145016 -------------------------------------------------------------------------------- epoch: 0 likelihood: -3092.8879637639525 sigma_a: tensor([0.1013], dtype=torch.float64, requires_grad=True) ll=-3092.8879637639525, sigma_a=0.10134069188145016 ll=-3094.1492421031144, sigma_a=0.07190557315072493 ll=-3092.8602089744095, sigma_a=0.09602068534331629 -------------------------------------------------------------------------------- epoch: 1 likelihood: -3092.8602089744095 sigma_a: tensor([0.0960], dtype=torch.float64, requires_grad=True) ll=-3092.8602089744095, sigma_a=0.09602068534331629 ll=-3092.859512234081, sigma_a=0.09678874009803548 -------------------------------------------------------------------------------- epoch: 2 likelihood: -3092.859512234081 sigma_a: tensor([0.0968], dtype=torch.float64, requires_grad=True) ll=-3092.859512234081, sigma_a=0.09678874009803548 ll=-3092.859505816345, sigma_a=0.0967223956397874 -------------------------------------------------------------------------------- epoch: 3 likelihood: -3092.859505816345 sigma_a: tensor([0.0967], dtype=torch.float64, requires_grad=True) ll=-3092.859505816345, sigma_a=0.0967223956397874 -------------------------------------------------------------------------------- epoch: 4 likelihood: -3092.859505816345 sigma_a: tensor([0.0967], dtype=torch.float64, requires_grad=True) .. GENERATED FROM PYTHON SOURCE LINES 150-154 EM ^^ Code for `ssm.learning.em_SS_tracking `_ .. GENERATED FROM PYTHON SOURCE LINES 154-161 .. code-block:: default Qe_reg_param = 1e-5 Qe_regularized = Qe + Qe_reg_param*np.eye(Qe.shape[0]) optim_res_em = ssm.learning.em_SS_tracking( y=y, B=B, sigma_a0=sigma_a0, Qe=Qe_regularized, Z=Z, R_0=R, m0_0=m0, V0_0=V0, vars_to_estimate=em_vars_to_estimate, max_iter=em_max_iter) .. rst-class:: sphx-glr-script-out .. code-block:: none LogLike[0000]=-3102.304785 sigma_a=0.250000 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0001]=-3102.250899 sigma_a=0.249255 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0002]=-3102.197345 sigma_a=0.248515 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0003]=-3102.144203 sigma_a=0.247781 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0004]=-3102.091485 sigma_a=0.247054 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0005]=-3102.038657 sigma_a=0.246325 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0006]=-3101.984614 sigma_a=0.245580 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0007]=-3101.930526 sigma_a=0.244835 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0008]=-3101.879891 sigma_a=0.244138 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0009]=-3101.827735 sigma_a=0.243420 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0010]=-3101.777476 sigma_a=0.242729 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0011]=-3101.727865 sigma_a=0.242046 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0012]=-3101.674626 sigma_a=0.241315 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0013]=-3101.622873 sigma_a=0.240604 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0014]=-3101.573323 sigma_a=0.239924 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0015]=-3101.524218 sigma_a=0.239250 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0016]=-3101.473775 sigma_a=0.238558 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0017]=-3101.424115 sigma_a=0.237877 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0018]=-3101.371854 sigma_a=0.237161 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0019]=-3101.321096 sigma_a=0.236466 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0020]=-3101.269676 sigma_a=0.235762 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0021]=-3101.222807 sigma_a=0.235120 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0022]=-3101.175026 sigma_a=0.234467 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0023]=-3101.125542 sigma_a=0.233790 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0024]=-3101.078329 sigma_a=0.233144 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0025]=-3101.030483 sigma_a=0.232490 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0026]=-3100.980132 sigma_a=0.231803 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0027]=-3100.934198 sigma_a=0.231175 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0028]=-3100.885372 sigma_a=0.230509 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0029]=-3100.836632 sigma_a=0.229844 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0030]=-3100.792898 sigma_a=0.229247 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0031]=-3100.744389 sigma_a=0.228585 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0032]=-3100.699162 sigma_a=0.227969 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0033]=-3100.652907 sigma_a=0.227338 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0034]=-3100.603175 sigma_a=0.226660 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0035]=-3100.556881 sigma_a=0.226030 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0036]=-3100.509363 sigma_a=0.225382 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0037]=-3100.463853 sigma_a=0.224763 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0038]=-3100.418837 sigma_a=0.224150 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0039]=-3100.372309 sigma_a=0.223516 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0040]=-3100.326390 sigma_a=0.222892 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0041]=-3100.283028 sigma_a=0.222302 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0042]=-3100.236297 sigma_a=0.221666 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0043]=-3100.192484 sigma_a=0.221070 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0044]=-3100.151508 sigma_a=0.220513 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0045]=-3100.107966 sigma_a=0.219921 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0046]=-3100.063660 sigma_a=0.219318 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0047]=-3100.020333 sigma_a=0.218729 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0048]=-3099.976467 sigma_a=0.218133 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0049]=-3099.933164 sigma_a=0.217545 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0050]=-3099.890977 sigma_a=0.216971 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0051]=-3099.849481 sigma_a=0.216408 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0052]=-3099.807084 sigma_a=0.215832 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0053]=-3099.766036 sigma_a=0.215274 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0054]=-3099.725405 sigma_a=0.214722 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0055]=-3099.684846 sigma_a=0.214171 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0056]=-3099.641684 sigma_a=0.213585 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0057]=-3099.601002 sigma_a=0.213032 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0058]=-3099.561760 sigma_a=0.212499 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0059]=-3099.523105 sigma_a=0.211974 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0060]=-3099.485444 sigma_a=0.211463 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0061]=-3099.440968 sigma_a=0.210859 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0062]=-3099.401986 sigma_a=0.210329 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0063]=-3099.360288 sigma_a=0.209763 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0064]=-3099.320907 sigma_a=0.209228 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0065]=-3099.280397 sigma_a=0.208678 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0066]=-3099.241102 sigma_a=0.208144 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0067]=-3099.204803 sigma_a=0.207651 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0068]=-3099.161157 sigma_a=0.207058 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0069]=-3099.121327 sigma_a=0.206516 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0070]=-3099.082099 sigma_a=0.205983 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0071]=-3099.039923 sigma_a=0.205410 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0072]=-3099.002050 sigma_a=0.204895 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0073]=-3098.964479 sigma_a=0.204385 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0074]=-3098.925256 sigma_a=0.203851 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0075]=-3098.887665 sigma_a=0.203340 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0076]=-3098.850544 sigma_a=0.202835 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0077]=-3098.811449 sigma_a=0.202303 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0078]=-3098.771482 sigma_a=0.201760 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0079]=-3098.734506 sigma_a=0.201256 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0080]=-3098.700231 sigma_a=0.200790 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0081]=-3098.668386 sigma_a=0.200356 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0082]=-3098.631926 sigma_a=0.199860 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0083]=-3098.592084 sigma_a=0.199317 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0084]=-3098.555566 sigma_a=0.198820 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0085]=-3098.520816 sigma_a=0.198346 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0086]=-3098.485147 sigma_a=0.197860 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0087]=-3098.451129 sigma_a=0.197396 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0088]=-3098.415875 sigma_a=0.196916 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0089]=-3098.381156 sigma_a=0.196442 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0090]=-3098.345827 sigma_a=0.195960 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0091]=-3098.311312 sigma_a=0.195489 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0092]=-3098.274390 sigma_a=0.194985 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0093]=-3098.239846 sigma_a=0.194513 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0094]=-3098.206226 sigma_a=0.194053 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0095]=-3098.170258 sigma_a=0.193562 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0096]=-3098.140839 sigma_a=0.193159 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0097]=-3098.109422 sigma_a=0.192730 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0098]=-3098.075102 sigma_a=0.192260 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0099]=-3098.043104 sigma_a=0.191822 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0100]=-3098.009978 sigma_a=0.191368 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0101]=-3097.977876 sigma_a=0.190929 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0102]=-3097.945526 sigma_a=0.190485 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0103]=-3097.914155 sigma_a=0.190055 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0104]=-3097.879497 sigma_a=0.189580 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0105]=-3097.847685 sigma_a=0.189143 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0106]=-3097.815247 sigma_a=0.188698 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0107]=-3097.781652 sigma_a=0.188236 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0108]=-3097.748648 sigma_a=0.187783 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0109]=-3097.715855 sigma_a=0.187332 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0110]=-3097.685567 sigma_a=0.186915 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0111]=-3097.652558 sigma_a=0.186461 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0112]=-3097.621492 sigma_a=0.186033 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0113]=-3097.592520 sigma_a=0.185634 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0114]=-3097.558575 sigma_a=0.185166 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0115]=-3097.524596 sigma_a=0.184697 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0116]=-3097.494817 sigma_a=0.184286 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0117]=-3097.465452 sigma_a=0.183881 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0118]=-3097.435000 sigma_a=0.183460 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0119]=-3097.404391 sigma_a=0.183037 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0120]=-3097.375267 sigma_a=0.182634 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0121]=-3097.345358 sigma_a=0.182220 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0122]=-3097.317400 sigma_a=0.181832 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0123]=-3097.292957 sigma_a=0.181494 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0124]=-3097.266839 sigma_a=0.181131 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0125]=-3097.240916 sigma_a=0.180772 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0126]=-3097.211728 sigma_a=0.180366 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0127]=-3097.184998 sigma_a=0.179995 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0128]=-3097.156186 sigma_a=0.179594 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0129]=-3097.128053 sigma_a=0.179203 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0130]=-3097.098334 sigma_a=0.178789 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0131]=-3097.069607 sigma_a=0.178389 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0132]=-3097.042805 sigma_a=0.178015 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0133]=-3097.018091 sigma_a=0.177671 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0134]=-3096.988303 sigma_a=0.177255 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0135]=-3096.961532 sigma_a=0.176881 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0136]=-3096.935357 sigma_a=0.176515 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0137]=-3096.908146 sigma_a=0.176134 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0138]=-3096.878570 sigma_a=0.175720 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0139]=-3096.847825 sigma_a=0.175289 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0140]=-3096.822723 sigma_a=0.174937 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0141]=-3096.795432 sigma_a=0.174554 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0142]=-3096.766505 sigma_a=0.174147 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0143]=-3096.738930 sigma_a=0.173759 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0144]=-3096.713027 sigma_a=0.173395 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0145]=-3096.690294 sigma_a=0.173075 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0146]=-3096.661504 sigma_a=0.172669 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0147]=-3096.634741 sigma_a=0.172291 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0148]=-3096.605608 sigma_a=0.171879 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0149]=-3096.580618 sigma_a=0.171526 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0150]=-3096.554015 sigma_a=0.171150 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0151]=-3096.527274 sigma_a=0.170771 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0152]=-3096.501944 sigma_a=0.170412 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0153]=-3096.477120 sigma_a=0.170059 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0154]=-3096.451533 sigma_a=0.169696 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0155]=-3096.427785 sigma_a=0.169358 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0156]=-3096.404395 sigma_a=0.169025 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0157]=-3096.380147 sigma_a=0.168680 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0158]=-3096.356252 sigma_a=0.168339 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0159]=-3096.334491 sigma_a=0.168029 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0160]=-3096.313201 sigma_a=0.167724 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0161]=-3096.288501 sigma_a=0.167371 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0162]=-3096.266850 sigma_a=0.167061 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0163]=-3096.240738 sigma_a=0.166687 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0164]=-3096.219208 sigma_a=0.166378 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0165]=-3096.199877 sigma_a=0.166101 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0166]=-3096.175848 sigma_a=0.165755 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0167]=-3096.154581 sigma_a=0.165449 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0168]=-3096.132144 sigma_a=0.165126 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0169]=-3096.112014 sigma_a=0.164836 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0170]=-3096.093471 sigma_a=0.164569 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0171]=-3096.070477 sigma_a=0.164236 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0172]=-3096.050027 sigma_a=0.163941 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0173]=-3096.029757 sigma_a=0.163647 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0174]=-3096.009671 sigma_a=0.163356 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0175]=-3095.987322 sigma_a=0.163032 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0176]=-3095.964621 sigma_a=0.162702 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0177]=-3095.944207 sigma_a=0.162406 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0178]=-3095.923180 sigma_a=0.162100 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0179]=-3095.900760 sigma_a=0.161773 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0180]=-3095.880659 sigma_a=0.161480 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0181]=-3095.860786 sigma_a=0.161189 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0182]=-3095.840759 sigma_a=0.160897 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0183]=-3095.822034 sigma_a=0.160622 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0184]=-3095.802001 sigma_a=0.160329 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0185]=-3095.785991 sigma_a=0.160094 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0186]=-3095.764496 sigma_a=0.159778 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0187]=-3095.744624 sigma_a=0.159486 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0188]=-3095.727312 sigma_a=0.159231 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0189]=-3095.707226 sigma_a=0.158935 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0190]=-3095.688002 sigma_a=0.158651 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0191]=-3095.671248 sigma_a=0.158404 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0192]=-3095.652711 sigma_a=0.158130 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0193]=-3095.632097 sigma_a=0.157824 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0194]=-3095.615594 sigma_a=0.157580 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0195]=-3095.594495 sigma_a=0.157266 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0196]=-3095.577711 sigma_a=0.157017 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0197]=-3095.560715 sigma_a=0.156764 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0198]=-3095.539135 sigma_a=0.156442 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] LogLike[0199]=-3095.520744 sigma_a=0.156168 R: [[25. 0.] [ 0. 25.]] m0: [0. 0. 0. 0. 0. 0.] V0: [[1.e-06 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 1.e-06 0.e+00 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 1.e-06 0.e+00 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 1.e-06 0.e+00 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 1.e-06 0.e+00] [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-06]] .. GENERATED FROM PYTHON SOURCE LINES 162-164 Plots ^^^^^ .. GENERATED FROM PYTHON SOURCE LINES 166-168 Convergence """"""""""" .. GENERATED FROM PYTHON SOURCE LINES 168-180 .. code-block:: default fig = go.Figure() trace = go.Scatter(x=optim_res_ga["elapsed_time"], y=optim_res_ga["log_like"], name="Gradient ascent", mode="lines+markers") fig.add_trace(trace) trace = go.Scatter(x=optim_res_em["elapsed_time"], y=optim_res_em["log_like"], name="EM", mode="lines+markers") fig.add_trace(trace) fig.update_layout(xaxis_title="Elapsed Time (sec)", yaxis_title="Log Likelihood") fig .. raw:: html


.. GENERATED FROM PYTHON SOURCE LINES 181-183 :math:`\sigma_a` estimates """"""""""""""""""""""""""" .. GENERATED FROM PYTHON SOURCE LINES 183-195 .. code-block:: default fig = go.Figure() trace = go.Bar(x=["Grid Search", "Gradient Ascent", "EM"], y=[gs_max_sigma_a**2, optim_res_ga["estimates"]["sigma_a"].item()**2, optim_res_em["estimates"]["sigma_a"]**2]) fig.add_trace(trace) fig.add_hline(y=sigma_a_true**2) fig.update_layout(xaxis_title="Estimation Method", yaxis_title=r"$\sigma_a$") fig .. raw:: html


.. GENERATED FROM PYTHON SOURCE LINES 196-198 Estimation of all parameters ---------------------------- .. GENERATED FROM PYTHON SOURCE LINES 198-224 .. code-block:: default pos_x0_0 = 0.1 pos_y0_0 = -0.1 vel_x0_0 = 0.01 vel_y0_0 = -0.01 acc_x0_0 = 0.001 acc_y0_0 = -0.001 sqrt_diag_V0_value0 = 1e-2 sigma_a0 = 0.25 sigma_x_0 = 5e-2 sigma_y_0 = 5e-2 ga_vars_to_estimate = {"sigma_a": True, "pos_x_R_std": True, "pos_y_R_std": True, "m0": True, "sqrt_diag_V0": True} em_vars_to_estimate = {"sigma_a": True, "R": True, "m0": True, "V0": True} em_max_iter = 400 lbfgs_max_iter = 2 lbfgs_n_epochs = 200 lbfgs_tolerance_grad = 1e-9 lbfgs_tolerance_change = 1e-7 m0_0 = np.array([pos_x0_0, vel_x0_0, acc_x0_0, pos_y0_0, vel_y0_0, acc_y0_0]) sqrt_diag_V0_0 = np.array([sqrt_diag_V0_value0 for i in range(len(m0_0))]) sqrt_diag_R_0 = np.array([sigma_x_0, sigma_y_0]) .. GENERATED FROM PYTHON SOURCE LINES 225-229 Gradient acent ^^^^^^^^^^^^^^ Code for `ssm.learning.torch_lbfgs_optimize_SS_tracking_diagV0 `_ .. GENERATED FROM PYTHON SOURCE LINES 229-247 .. code-block:: default m0_0_torch = torch.from_numpy(m0_0) sqrt_diag_V0_0_torch = torch.from_numpy(sqrt_diag_V0_0) sqrt_diag_R_0_torch = torch.from_numpy(sqrt_diag_R_0) y_torch = torch.from_numpy(y.astype(np.double)) B_torch = torch.from_numpy(B.astype(np.double)) Qe_torch = torch.from_numpy(Qe.astype(np.double)) Z_torch = torch.from_numpy(Z.astype(np.double)) optim_res_ga = ssm.learning.torch_lbfgs_optimize_SS_tracking_diagV0( y=y_torch, B=B_torch, sigma_a0=sigma_a0, Qe=Qe_torch, Z=Z_torch, pos_x_R_std0=sqrt_diag_R_0[0], pos_y_R_std0=sqrt_diag_R_0[1], m0_0=m0_0_torch, sqrt_diag_V0_0=sqrt_diag_V0_0_torch, max_iter=lbfgs_max_iter, n_epochs=lbfgs_n_epochs, vars_to_estimate=ga_vars_to_estimate, tolerance_grad=lbfgs_tolerance_grad, tolerance_change=lbfgs_tolerance_change) .. rst-class:: sphx-glr-script-out .. code-block:: none -------------------------------------------------------------------------------- startup likelihood: -4455759.282957736 ll=-4455759.282957736, sigma_a=0.25, pos_x_R_std=0.05, pos_y_R_std=0.05, m0=tensor([ 0.1000, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0100, 0.0100, 0.0100, 0.0100, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-40787.50619013615, sigma_a=0.2545681472031047, pos_x_R_std=0.5276505377270831, pos_y_R_std=0.5637062325609771, m0=tensor([ 0.1000, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 0 likelihood: -40787.50619013615 sigma_a: tensor([0.2546], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([0.5277], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([0.5637], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1000, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-40787.50619013615, sigma_a=0.2545681472031047, pos_x_R_std=0.5276505377270831, pos_y_R_std=0.5637062325609771, m0=tensor([ 0.1000, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-40727.61342143312, sigma_a=0.2545883339353004, pos_x_R_std=0.528092406519629, pos_y_R_std=0.5640883521633027, m0=tensor([ 0.1000, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-40459.500003952635, sigma_a=0.2546792751638418, pos_x_R_std=0.5300830254300478, pos_y_R_std=0.5658098009717792, m0=tensor([ 0.1000, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-39032.22083422173, sigma_a=0.2551798056933014, pos_x_R_std=0.5410391731879408, pos_y_R_std=0.5752844660644315, m0=tensor([ 0.1001, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-32426.46482287707, sigma_a=0.25793477155183364, pos_x_R_std=0.6013428135005898, pos_y_R_std=0.6274338901554396, m0=tensor([ 0.1001, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0136, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 1 likelihood: -32426.46482287707 sigma_a: tensor([0.2579], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([0.6013], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([0.6274], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1001, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0136, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-32426.46482287707, sigma_a=0.25793477155183364, pos_x_R_std=0.6013428135005898, pos_y_R_std=0.6274338901554396, m0=tensor([ 0.1001, 0.0100, 0.0010, -0.1000, -0.0100, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0136, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-20924.31819524828, sigma_a=0.26766971734408074, pos_x_R_std=0.7555793907928443, pos_y_R_std=0.7940344164100972, m0=tensor([ 0.1004, 0.0101, 0.0010, -0.1000, -0.0099, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0138, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 2 likelihood: -20924.31819524828 sigma_a: tensor([0.2677], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([0.7556], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([0.7940], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1004, 0.0101, 0.0010, -0.1000, -0.0099, -0.0010], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0138, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-20924.31819524828, sigma_a=0.26766971734408074, pos_x_R_std=0.7555793907928443, pos_y_R_std=0.7940344164100972, m0=tensor([ 0.1004, 0.0101, 0.0010, -0.1000, -0.0099, -0.0010], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0138, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-14900.502024036528, sigma_a=0.27924206914603933, pos_x_R_std=0.9113340700474011, pos_y_R_std=0.9547642338078087, m0=tensor([ 0.1008, 0.0101, 0.0010, -0.1000, -0.0098, -0.0009], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0138, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 3 likelihood: -14900.502024036528 sigma_a: tensor([0.2792], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([0.9113], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([0.9548], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1008, 0.0101, 0.0010, -0.1000, -0.0098, -0.0009], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0138, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-14900.502024036528, sigma_a=0.27924206914603933, pos_x_R_std=0.9113340700474011, pos_y_R_std=0.9547642338078087, m0=tensor([ 0.1008, 0.0101, 0.0010, -0.1000, -0.0098, -0.0009], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0138, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-10507.959364648561, sigma_a=0.2961095971278169, pos_x_R_std=1.1146865469737233, pos_y_R_std=1.168118543875824, m0=tensor([ 0.1015, 0.0103, 0.0010, -0.0999, -0.0096, -0.0009], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0137, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 4 likelihood: -10507.959364648561 sigma_a: tensor([0.2961], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([1.1147], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([1.1681], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1015, 0.0103, 0.0010, -0.0999, -0.0096, -0.0009], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0137, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-10507.959364648561, sigma_a=0.2961095971278169, pos_x_R_std=1.1146865469737233, pos_y_R_std=1.168118543875824, m0=tensor([ 0.1015, 0.0103, 0.0010, -0.0999, -0.0096, -0.0009], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0137, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-7724.984707118879, sigma_a=0.31630304500116435, pos_x_R_std=1.35265485582925, pos_y_R_std=1.4161979797041437, m0=tensor([ 0.1026, 0.0104, 0.0009, -0.0997, -0.0092, -0.0008], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 5 likelihood: -7724.984707118879 sigma_a: tensor([0.3163], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([1.3527], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([1.4162], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1026, 0.0104, 0.0009, -0.0997, -0.0092, -0.0008], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-7724.984707118879, sigma_a=0.31630304500116435, pos_x_R_std=1.35265485582925, pos_y_R_std=1.4161979797041437, m0=tensor([ 0.1026, 0.0104, 0.0009, -0.0997, -0.0092, -0.0008], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0135, 0.0102, 0.0100, 0.0103, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-5890.5290528785345, sigma_a=0.33858154378563265, pos_x_R_std=1.6406597515072485, pos_y_R_std=1.7166107636553385, m0=tensor([ 0.1043, 0.0107, 0.0009, -0.0995, -0.0086, -0.0006], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0132, 0.0101, 0.0100, 0.0103, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 6 likelihood: -5890.5290528785345 sigma_a: tensor([0.3386], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([1.6407], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([1.7166], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1043, 0.0107, 0.0009, -0.0995, -0.0086, -0.0006], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0132, 0.0101, 0.0100, 0.0103, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) ll=-5890.5290528785345, sigma_a=0.33858154378563265, pos_x_R_std=1.6406597515072485, pos_y_R_std=1.7166107636553385, m0=tensor([ 0.1043, 0.0107, 0.0009, -0.0995, -0.0086, -0.0006], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0132, 0.0101, 0.0100, 0.0103, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) ll=-4724.263970287377, sigma_a=0.3571299274956437, pos_x_R_std=1.9803132598438002, pos_y_R_std=2.0699805178912483, m0=tensor([ 0.1070, 0.0111, 0.0008, -0.0990, -0.0077, -0.0004], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0128, 0.0101, 0.0100, 0.0103, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 7 likelihood: -4724.263970287377 sigma_a: tensor([0.3571], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([1.9803], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([2.0700], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1070, 0.0111, 0.0008, -0.0990, -0.0077, -0.0004], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0128, 0.0101, 0.0100, 0.0103, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) ll=-4724.263970287377, sigma_a=0.3571299274956437, pos_x_R_std=1.9803132598438002, pos_y_R_std=2.0699805178912483, m0=tensor([ 0.1070, 0.0111, 0.0008, -0.0990, -0.0077, -0.0004], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0128, 0.0101, 0.0100, 0.0103, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) ll=-3994.818036575852, sigma_a=0.3597027484519859, pos_x_R_std=2.377492077415295, pos_y_R_std=2.4819792719280285, m0=tensor([ 1.1107e-01, 1.1806e-02, 5.9668e-04, -9.8241e-02, -6.1924e-03, -3.8247e-06], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0121, 0.0100, 0.0100, 0.0102, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 8 likelihood: -3994.818036575852 sigma_a: tensor([0.3597], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([2.3775], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([2.4820], dtype=torch.float64, requires_grad=True) m0: tensor([ 1.1107e-01, 1.1806e-02, 5.9668e-04, -9.8241e-02, -6.1924e-03, -3.8247e-06], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0121, 0.0100, 0.0100, 0.0102, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) ll=-3994.818036575852, sigma_a=0.3597027484519859, pos_x_R_std=2.377492077415295, pos_y_R_std=2.4819792719280285, m0=tensor([ 1.1107e-01, 1.1806e-02, 5.9668e-04, -9.8241e-02, -6.1924e-03, -3.8247e-06], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0121, 0.0100, 0.0100, 0.0102, 0.0101, 0.0100], dtype=torch.float64, requires_grad=True) ll=-3554.3960820131865, sigma_a=0.3188431125383502, pos_x_R_std=2.8312963385008234, pos_y_R_std=2.9502090692278182, m0=tensor([ 0.1174, 0.0129, 0.0003, -0.0970, -0.0039, 0.0004], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0114, 0.0100, 0.0100, 0.0102, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 9 likelihood: -3554.3960820131865 sigma_a: tensor([0.3188], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([2.8313], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([2.9502], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1174, 0.0129, 0.0003, -0.0970, -0.0039, 0.0004], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0114, 0.0100, 0.0100, 0.0102, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-3554.3960820131865, sigma_a=0.3188431125383502, pos_x_R_std=2.8312963385008234, pos_y_R_std=2.9502090692278182, m0=tensor([ 0.1174, 0.0129, 0.0003, -0.0970, -0.0039, 0.0004], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0114, 0.0100, 0.0100, 0.0102, 0.0100, 0.0100], dtype=torch.float64, requires_grad=True) ll=-3295.134875828525, sigma_a=0.1688547923676056, pos_x_R_std=3.3383123513614548, pos_y_R_std=3.468569425178536, m0=tensor([ 0.1270, 0.0146, -0.0006, -0.0952, -0.0005, 0.0007], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0104, 0.0098, 0.0099, 0.0101, 0.0100, 0.0099], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 10 likelihood: -3295.134875828525 sigma_a: tensor([0.1689], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([3.3383], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([3.4686], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1270, 0.0146, -0.0006, -0.0952, -0.0005, 0.0007], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0104, 0.0098, 0.0099, 0.0101, 0.0100, 0.0099], dtype=torch.float64, requires_grad=True) ll=-3295.134875828525, sigma_a=0.1688547923676056, pos_x_R_std=3.3383123513614548, pos_y_R_std=3.468569425178536, m0=tensor([ 0.1270, 0.0146, -0.0006, -0.0952, -0.0005, 0.0007], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0104, 0.0098, 0.0099, 0.0101, 0.0100, 0.0099], dtype=torch.float64, requires_grad=True) ll=-3164.2634812284614, sigma_a=-0.15916047173742964, pos_x_R_std=3.882091217239262, pos_y_R_std=4.019258836657299, m0=tensor([ 0.1410, 0.0134, -0.0088, -0.0924, 0.0034, -0.0042], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0093, 0.0095, 0.0097, 0.0100, 0.0097, 0.0096], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 11 likelihood: -3164.2634812284614 sigma_a: tensor([-0.1592], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([3.8821], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([4.0193], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1410, 0.0134, -0.0088, -0.0924, 0.0034, -0.0042], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0093, 0.0095, 0.0097, 0.0100, 0.0097, 0.0096], dtype=torch.float64, requires_grad=True) ll=-3164.2634812284614, sigma_a=-0.15916047173742964, pos_x_R_std=3.882091217239262, pos_y_R_std=4.019258836657299, m0=tensor([ 0.1410, 0.0134, -0.0088, -0.0924, 0.0034, -0.0042], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0093, 0.0095, 0.0097, 0.0100, 0.0097, 0.0096], dtype=torch.float64, requires_grad=True) ll=-3114.1936479008555, sigma_a=0.06353883245386724, pos_x_R_std=4.361468611028386, pos_y_R_std=4.504164048859709, m0=tensor([ 0.1586, 0.0095, -0.0237, -0.0887, 0.0077, -0.0140], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0083, 0.0090, 0.0094, 0.0099, 0.0092, 0.0092], dtype=torch.float64, requires_grad=True) ll=-3200.584473248271, sigma_a=1.0667991978356597, pos_x_R_std=6.5210637700483876, pos_y_R_std=6.688662029831563, m0=tensor([ 0.2379, -0.0082, -0.0909, -0.0725, 0.0269, -0.0581], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0038, 0.0068, 0.0079, 0.0091, 0.0072, 0.0072], dtype=torch.float64, requires_grad=True) ll=-3108.226174527317, sigma_a=0.3405453236472269, pos_x_R_std=4.95774640494945, pos_y_R_std=5.107317668406627, m0=tensor([ 0.1805, 0.0046, -0.0423, -0.0843, 0.0130, -0.0262], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0071, 0.0084, 0.0090, 0.0097, 0.0087, 0.0086], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 12 likelihood: -3108.226174527317 sigma_a: tensor([0.3405], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9577], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1073], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1805, 0.0046, -0.0423, -0.0843, 0.0130, -0.0262], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0071, 0.0084, 0.0090, 0.0097, 0.0087, 0.0086], dtype=torch.float64, requires_grad=True) ll=-3108.226174527317, sigma_a=0.3405453236472269, pos_x_R_std=4.95774640494945, pos_y_R_std=5.107317668406627, m0=tensor([ 0.1805, 0.0046, -0.0423, -0.0843, 0.0130, -0.0262], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0071, 0.0084, 0.0090, 0.0097, 0.0087, 0.0086], dtype=torch.float64, requires_grad=True) ll=-3092.2774167736766, sigma_a=0.0922006816993648, pos_x_R_std=4.952336516945139, pos_y_R_std=5.086230270855736, m0=tensor([ 0.1885, 0.0047, -0.0455, -0.0828, 0.0153, -0.0281], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0071, 0.0083, 0.0089, 0.0096, 0.0085, 0.0085], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 13 likelihood: -3092.2774167736766 sigma_a: tensor([0.0922], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9523], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.0862], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1885, 0.0047, -0.0455, -0.0828, 0.0153, -0.0281], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0071, 0.0083, 0.0089, 0.0096, 0.0085, 0.0085], dtype=torch.float64, requires_grad=True) ll=-3092.2774167736766, sigma_a=0.0922006816993648, pos_x_R_std=4.952336516945139, pos_y_R_std=5.086230270855736, m0=tensor([ 0.1885, 0.0047, -0.0455, -0.0828, 0.0153, -0.0281], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0071, 0.0083, 0.0089, 0.0096, 0.0085, 0.0085], dtype=torch.float64, requires_grad=True) ll=-3092.785046378573, sigma_a=0.1185457806145715, pos_x_R_std=4.970608867646607, pos_y_R_std=5.104575652323012, m0=tensor([ 0.1904, -0.0016, -0.0575, -0.0826, 0.0129, -0.0392], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0070, 0.0082, 0.0089, 0.0095, 0.0084, 0.0085], dtype=torch.float64, requires_grad=True) ll=-3092.246711333806, sigma_a=0.09683179744490589, pos_x_R_std=4.955548551612915, pos_y_R_std=5.089455143354583, m0=tensor([ 0.1888, 0.0036, -0.0476, -0.0828, 0.0149, -0.0300], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0071, 0.0082, 0.0089, 0.0096, 0.0085, 0.0085], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 14 likelihood: -3092.246711333806 sigma_a: tensor([0.0968], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9555], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.0895], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1888, 0.0036, -0.0476, -0.0828, 0.0149, -0.0300], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0071, 0.0082, 0.0089, 0.0096, 0.0085, 0.0085], dtype=torch.float64, requires_grad=True) ll=-3092.246711333806, sigma_a=0.09683179744490589, pos_x_R_std=4.955548551612915, pos_y_R_std=5.089455143354583, m0=tensor([ 0.1888, 0.0036, -0.0476, -0.0828, 0.0149, -0.0300], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0071, 0.0082, 0.0089, 0.0096, 0.0085, 0.0085], dtype=torch.float64, requires_grad=True) ll=-3092.124251597467, sigma_a=0.0953273455850997, pos_x_R_std=4.983814664990147, pos_y_R_std=5.116475160262085, m0=tensor([ 0.1916, -0.0013, -0.0575, -0.0824, 0.0135, -0.0389], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0070, 0.0082, 0.0089, 0.0095, 0.0084, 0.0085], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 15 likelihood: -3092.124251597467 sigma_a: tensor([0.0953], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9838], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1165], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.1916, -0.0013, -0.0575, -0.0824, 0.0135, -0.0389], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0070, 0.0082, 0.0089, 0.0095, 0.0084, 0.0085], dtype=torch.float64, requires_grad=True) ll=-3092.124251597467, sigma_a=0.0953273455850997, pos_x_R_std=4.983814664990147, pos_y_R_std=5.116475160262085, m0=tensor([ 0.1916, -0.0013, -0.0575, -0.0824, 0.0135, -0.0389], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0070, 0.0082, 0.0089, 0.0095, 0.0084, 0.0085], dtype=torch.float64, requires_grad=True) ll=-3091.7182998581434, sigma_a=0.09040897000649308, pos_x_R_std=5.023851964146825, pos_y_R_std=5.151079367134098, m0=tensor([ 0.2039, -0.0317, -0.1174, -0.0808, 0.0032, -0.0947], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0068, 0.0078, 0.0090, 0.0093, 0.0076, 0.0084], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 16 likelihood: -3091.7182998581434 sigma_a: tensor([0.0904], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0239], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1511], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.2039, -0.0317, -0.1174, -0.0808, 0.0032, -0.0947], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0068, 0.0078, 0.0090, 0.0093, 0.0076, 0.0084], dtype=torch.float64, requires_grad=True) ll=-3091.7182998581434, sigma_a=0.09040897000649308, pos_x_R_std=5.023851964146825, pos_y_R_std=5.151079367134098, m0=tensor([ 0.2039, -0.0317, -0.1174, -0.0808, 0.0032, -0.0947], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0068, 0.0078, 0.0090, 0.0093, 0.0076, 0.0084], dtype=torch.float64, requires_grad=True) ll=-3091.1613609211217, sigma_a=0.0804024183513666, pos_x_R_std=5.059368842433065, pos_y_R_std=5.176647452541971, m0=tensor([ 0.2399, -0.1109, -0.2757, -0.0741, -0.0200, -0.2464], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0065, 0.0064, 0.0081, 0.0087, 0.0053, 0.0072], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 17 likelihood: -3091.1613609211217 sigma_a: tensor([0.0804], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0594], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1766], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.2399, -0.1109, -0.2757, -0.0741, -0.0200, -0.2464], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0065, 0.0064, 0.0081, 0.0087, 0.0053, 0.0072], dtype=torch.float64, requires_grad=True) ll=-3091.1613609211217, sigma_a=0.0804024183513666, pos_x_R_std=5.059368842433065, pos_y_R_std=5.176647452541971, m0=tensor([ 0.2399, -0.1109, -0.2757, -0.0741, -0.0200, -0.2464], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0065, 0.0064, 0.0081, 0.0087, 0.0053, 0.0072], dtype=torch.float64, requires_grad=True) ll=-3091.0075551260643, sigma_a=0.08312295927095419, pos_x_R_std=5.0349163038578375, pos_y_R_std=5.152310814615106, m0=tensor([ 0.2507, -0.1243, -0.3042, -0.0707, -0.0202, -0.2768], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0065, 0.0059, 0.0073, 0.0086, 0.0048, 0.0065], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 18 likelihood: -3091.0075551260643 sigma_a: tensor([0.0831], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0349], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1523], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.2507, -0.1243, -0.3042, -0.0707, -0.0202, -0.2768], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0065, 0.0059, 0.0073, 0.0086, 0.0048, 0.0065], dtype=torch.float64, requires_grad=True) ll=-3091.0075551260643, sigma_a=0.08312295927095419, pos_x_R_std=5.0349163038578375, pos_y_R_std=5.152310814615106, m0=tensor([ 0.2507, -0.1243, -0.3042, -0.0707, -0.0202, -0.2768], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0065, 0.0059, 0.0073, 0.0086, 0.0048, 0.0065], dtype=torch.float64, requires_grad=True) ll=-3090.9403788895393, sigma_a=0.08399569293660554, pos_x_R_std=4.997922187925673, pos_y_R_std=5.116555088219359, m0=tensor([ 0.2615, -0.1333, -0.3248, -0.0667, -0.0177, -0.3007], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0065, 0.0055, 0.0064, 0.0085, 0.0043, 0.0057], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 19 likelihood: -3090.9403788895393 sigma_a: tensor([0.0840], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9979], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1166], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.2615, -0.1333, -0.3248, -0.0667, -0.0177, -0.3007], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0065, 0.0055, 0.0064, 0.0085, 0.0043, 0.0057], dtype=torch.float64, requires_grad=True) ll=-3090.9403788895393, sigma_a=0.08399569293660554, pos_x_R_std=4.997922187925673, pos_y_R_std=5.116555088219359, m0=tensor([ 0.2615, -0.1333, -0.3248, -0.0667, -0.0177, -0.3007], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0065, 0.0055, 0.0064, 0.0085, 0.0043, 0.0057], dtype=torch.float64, requires_grad=True) ll=-3090.897897360474, sigma_a=0.08427158703303188, pos_x_R_std=4.993275121306663, pos_y_R_std=5.11578796947727, m0=tensor([ 0.2768, -0.1308, -0.3268, -0.0598, -0.0056, -0.3092], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0065, 0.0051, 0.0053, 0.0084, 0.0040, 0.0047], dtype=torch.float64, requires_grad=True) ll=-3090.609780705544, sigma_a=0.08675463390086888, pos_x_R_std=4.951451521735569, pos_y_R_std=5.108883900798472, m0=tensor([ 0.4151, -0.1081, -0.3447, 0.0017, 0.1030, -0.3860], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0068, 0.0011, -0.0042, 0.0074, 0.0011, -0.0037], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 20 likelihood: -3090.609780705544 sigma_a: tensor([0.0868], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9515], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1089], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.4151, -0.1081, -0.3447, 0.0017, 0.1030, -0.3860], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([ 0.0068, 0.0011, -0.0042, 0.0074, 0.0011, -0.0037], dtype=torch.float64, requires_grad=True) ll=-3090.609780705544, sigma_a=0.08675463390086888, pos_x_R_std=4.951451521735569, pos_y_R_std=5.108883900798472, m0=tensor([ 0.4151, -0.1081, -0.3447, 0.0017, 0.1030, -0.3860], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0068, 0.0011, -0.0042, 0.0074, 0.0011, -0.0037], dtype=torch.float64, requires_grad=True) ll=-3090.2076087752466, sigma_a=0.0845336977465065, pos_x_R_std=4.92086827667021, pos_y_R_std=5.146920300885666, m0=tensor([ 0.7355, -0.0746, -0.4192, 0.1413, 0.3425, -0.5890], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0071, -0.0079, -0.0248, 0.0051, -0.0057, -0.0222], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 21 likelihood: -3090.2076087752466 sigma_a: tensor([0.0845], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9209], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1469], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.7355, -0.0746, -0.4192, 0.1413, 0.3425, -0.5890], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([ 0.0071, -0.0079, -0.0248, 0.0051, -0.0057, -0.0222], dtype=torch.float64, requires_grad=True) ll=-3090.2076087752466, sigma_a=0.0845336977465065, pos_x_R_std=4.92086827667021, pos_y_R_std=5.146920300885666, m0=tensor([ 0.7355, -0.0746, -0.4192, 0.1413, 0.3425, -0.5890], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0071, -0.0079, -0.0248, 0.0051, -0.0057, -0.0222], dtype=torch.float64, requires_grad=True) ll=-3090.0812401446588, sigma_a=0.08455815293239055, pos_x_R_std=4.944073360187049, pos_y_R_std=5.158458117796711, m0=tensor([ 0.8602, -0.0580, -0.4297, 0.1936, 0.4405, -0.6435], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0071, -0.0105, -0.0283, 0.0043, -0.0077, -0.0255], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 22 likelihood: -3090.0812401446588 sigma_a: tensor([0.0846], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9441], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1585], dtype=torch.float64, requires_grad=True) m0: tensor([ 0.8602, -0.0580, -0.4297, 0.1936, 0.4405, -0.6435], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([ 0.0071, -0.0105, -0.0283, 0.0043, -0.0077, -0.0255], dtype=torch.float64, requires_grad=True) ll=-3090.0812401446588, sigma_a=0.08455815293239055, pos_x_R_std=4.944073360187049, pos_y_R_std=5.158458117796711, m0=tensor([ 0.8602, -0.0580, -0.4297, 0.1936, 0.4405, -0.6435], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0071, -0.0105, -0.0283, 0.0043, -0.0077, -0.0255], dtype=torch.float64, requires_grad=True) ll=-3089.946444037464, sigma_a=0.08482298226264517, pos_x_R_std=4.986057027113701, pos_y_R_std=5.108825702545809, m0=tensor([ 1.0127, -0.0766, -0.4555, 0.2417, 0.5459, -0.6948], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0069, -0.0106, -0.0164, 0.0031, -0.0076, -0.0151], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 23 likelihood: -3089.946444037464 sigma_a: tensor([0.0848], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9861], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1088], dtype=torch.float64, requires_grad=True) m0: tensor([ 1.0127, -0.0766, -0.4555, 0.2417, 0.5459, -0.6948], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([ 0.0069, -0.0106, -0.0164, 0.0031, -0.0076, -0.0151], dtype=torch.float64, requires_grad=True) ll=-3089.946444037464, sigma_a=0.08482298226264517, pos_x_R_std=4.986057027113701, pos_y_R_std=5.108825702545809, m0=tensor([ 1.0127, -0.0766, -0.4555, 0.2417, 0.5459, -0.6948], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0069, -0.0106, -0.0164, 0.0031, -0.0076, -0.0151], dtype=torch.float64, requires_grad=True) ll=-3089.9046896721156, sigma_a=0.08448523500930381, pos_x_R_std=4.9959285748963564, pos_y_R_std=5.115383699355141, m0=tensor([ 1.0582, -0.1045, -0.4548, 0.2401, 0.5617, -0.6934], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0065, -0.0083, -0.0058, 0.0028, -0.0058, -0.0055], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 24 likelihood: -3089.9046896721156 sigma_a: tensor([0.0845], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9959], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1154], dtype=torch.float64, requires_grad=True) m0: tensor([ 1.0582, -0.1045, -0.4548, 0.2401, 0.5617, -0.6934], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([ 0.0065, -0.0083, -0.0058, 0.0028, -0.0058, -0.0055], dtype=torch.float64, requires_grad=True) ll=-3089.9046896721156, sigma_a=0.08448523500930381, pos_x_R_std=4.9959285748963564, pos_y_R_std=5.115383699355141, m0=tensor([ 1.0582, -0.1045, -0.4548, 0.2401, 0.5617, -0.6934], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([ 0.0065, -0.0083, -0.0058, 0.0028, -0.0058, -0.0055], dtype=torch.float64, requires_grad=True) ll=-3089.778420932146, sigma_a=0.0834145660354255, pos_x_R_std=5.011483568162047, pos_y_R_std=5.1321020018686605, m0=tensor([ 1.2449, -0.2410, -0.4354, 0.2133, 0.6029, -0.6752], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0049, 0.0032, 0.0377, 0.0013, 0.0029, 0.0338], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 25 likelihood: -3089.778420932146 sigma_a: tensor([0.0834], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0115], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1321], dtype=torch.float64, requires_grad=True) m0: tensor([ 1.2449, -0.2410, -0.4354, 0.2133, 0.6029, -0.6752], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([0.0049, 0.0032, 0.0377, 0.0013, 0.0029, 0.0338], dtype=torch.float64, requires_grad=True) ll=-3089.778420932146, sigma_a=0.0834145660354255, pos_x_R_std=5.011483568162047, pos_y_R_std=5.1321020018686605, m0=tensor([ 1.2449, -0.2410, -0.4354, 0.2133, 0.6029, -0.6752], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([0.0049, 0.0032, 0.0377, 0.0013, 0.0029, 0.0338], dtype=torch.float64, requires_grad=True) ll=-3089.6809255495773, sigma_a=0.08314299759985391, pos_x_R_std=5.007514983671093, pos_y_R_std=5.138193335542621, m0=tensor([ 1.4180, -0.3704, -0.4053, 0.1795, 0.6264, -0.6631], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([3.2588e-03, 1.3201e-02, 6.7341e-02, 5.1694e-05, 1.0497e-02, 6.0480e-02], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 26 likelihood: -3089.6809255495773 sigma_a: tensor([0.0831], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0075], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1382], dtype=torch.float64, requires_grad=True) m0: tensor([ 1.4180, -0.3704, -0.4053, 0.1795, 0.6264, -0.6631], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([3.2588e-03, 1.3201e-02, 6.7341e-02, 5.1694e-05, 1.0497e-02, 6.0480e-02], dtype=torch.float64, requires_grad=True) ll=-3089.6809255495773, sigma_a=0.08314299759985391, pos_x_R_std=5.007514983671093, pos_y_R_std=5.138193335542621, m0=tensor([ 1.4180, -0.3704, -0.4053, 0.1795, 0.6264, -0.6631], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([3.2588e-03, 1.3201e-02, 6.7341e-02, 5.1694e-05, 1.0497e-02, 6.0480e-02], dtype=torch.float64, requires_grad=True) ll=-3089.3670808693273, sigma_a=0.08253279501079035, pos_x_R_std=5.011455577503597, pos_y_R_std=5.144321708013158, m0=tensor([ 1.9786, -0.7677, -0.2807, 0.0609, 0.6735, -0.6619], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0017, 0.0362, 0.1103, -0.0039, 0.0288, 0.0970], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 27 likelihood: -3089.3670808693273 sigma_a: tensor([0.0825], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0115], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1443], dtype=torch.float64, requires_grad=True) m0: tensor([ 1.9786, -0.7677, -0.2807, 0.0609, 0.6735, -0.6619], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0017, 0.0362, 0.1103, -0.0039, 0.0288, 0.0970], dtype=torch.float64, requires_grad=True) ll=-3089.3670808693273, sigma_a=0.08253279501079035, pos_x_R_std=5.011455577503597, pos_y_R_std=5.144321708013158, m0=tensor([ 1.9786, -0.7677, -0.2807, 0.0609, 0.6735, -0.6619], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0017, 0.0362, 0.1103, -0.0039, 0.0288, 0.0970], dtype=torch.float64, requires_grad=True) ll=-3089.0010503089047, sigma_a=0.08108159581269377, pos_x_R_std=5.035571446414351, pos_y_R_std=5.150497599551826, m0=tensor([ 3.1888, -1.6258, -0.0458, -0.1958, 0.7887, -0.6041], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0100, 0.0137, 0.0348, -0.0103, 0.0146, 0.0154], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 28 likelihood: -3089.0010503089047 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0356], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1505], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.1888, -1.6258, -0.0458, -0.1958, 0.7887, -0.6041], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0100, 0.0137, 0.0348, -0.0103, 0.0146, 0.0154], dtype=torch.float64, requires_grad=True) ll=-3089.0010503089047, sigma_a=0.08108159581269377, pos_x_R_std=5.035571446414351, pos_y_R_std=5.150497599551826, m0=tensor([ 3.1888, -1.6258, -0.0458, -0.1958, 0.7887, -0.6041], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0100, 0.0137, 0.0348, -0.0103, 0.0146, 0.0154], dtype=torch.float64, requires_grad=True) ll=-3088.6887483704536, sigma_a=0.08083453860292061, pos_x_R_std=5.020588482196077, pos_y_R_std=5.136369735242437, m0=tensor([ 3.6836, -1.9032, 0.1440, -0.3237, 0.7567, -0.6911], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0125, 0.0096, 0.0551, -0.0121, 0.0116, 0.0464], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 29 likelihood: -3088.6887483704536 sigma_a: tensor([0.0808], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([5.0206], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1364], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.6836, -1.9032, 0.1440, -0.3237, 0.7567, -0.6911], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0125, 0.0096, 0.0551, -0.0121, 0.0116, 0.0464], dtype=torch.float64, requires_grad=True) ll=-3088.6887483704536, sigma_a=0.08083453860292061, pos_x_R_std=5.020588482196077, pos_y_R_std=5.136369735242437, m0=tensor([ 3.6836, -1.9032, 0.1440, -0.3237, 0.7567, -0.6911], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0125, 0.0096, 0.0551, -0.0121, 0.0116, 0.0464], dtype=torch.float64, requires_grad=True) ll=-3088.6114418963793, sigma_a=0.08108657702479175, pos_x_R_std=4.994102001822459, pos_y_R_std=5.128027948677246, m0=tensor([ 3.5950, -1.8408, 0.1347, -0.3179, 0.7287, -0.6924], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0108, -0.0053, 0.0120, -0.0106, -0.0007, 0.0104], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 30 likelihood: -3088.6114418963793 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9941], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1280], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5950, -1.8408, 0.1347, -0.3179, 0.7287, -0.6924], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0108, -0.0053, 0.0120, -0.0106, -0.0007, 0.0104], dtype=torch.float64, requires_grad=True) ll=-3088.6114418963793, sigma_a=0.08108657702479175, pos_x_R_std=4.994102001822459, pos_y_R_std=5.128027948677246, m0=tensor([ 3.5950, -1.8408, 0.1347, -0.3179, 0.7287, -0.6924], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0108, -0.0053, 0.0120, -0.0106, -0.0007, 0.0104], dtype=torch.float64, requires_grad=True) ll=-3088.6042408716376, sigma_a=0.08107185245657991, pos_x_R_std=4.980295547174949, pos_y_R_std=5.12251597897683, m0=tensor([ 3.5444, -1.8132, 0.1261, -0.3153, 0.7153, -0.6856], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0098, -0.0076, -0.0006, -0.0097, -0.0034, -0.0003], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 31 likelihood: -3088.6042408716376 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9803], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1225], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5444, -1.8132, 0.1261, -0.3153, 0.7153, -0.6856], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0098, -0.0076, -0.0006, -0.0097, -0.0034, -0.0003], dtype=torch.float64, requires_grad=True) ll=-3088.6042408716376, sigma_a=0.08107185245657991, pos_x_R_std=4.980295547174949, pos_y_R_std=5.12251597897683, m0=tensor([ 3.5444, -1.8132, 0.1261, -0.3153, 0.7153, -0.6856], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0098, -0.0076, -0.0006, -0.0097, -0.0034, -0.0003], dtype=torch.float64, requires_grad=True) ll=-3088.604058276882, sigma_a=0.08112612570090375, pos_x_R_std=4.979668804145286, pos_y_R_std=5.12215840294705, m0=tensor([ 3.5461, -1.8145, 0.1265, -0.3165, 0.7148, -0.6838], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0094, -0.0055, 0.0003, -0.0093, -0.0023, 0.0003], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 32 likelihood: -3088.604058276882 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9797], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1222], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5461, -1.8145, 0.1265, -0.3165, 0.7148, -0.6838], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0094, -0.0055, 0.0003, -0.0093, -0.0023, 0.0003], dtype=torch.float64, requires_grad=True) ll=-3088.604058276882, sigma_a=0.08112612570090375, pos_x_R_std=4.979668804145286, pos_y_R_std=5.12215840294705, m0=tensor([ 3.5461, -1.8145, 0.1265, -0.3165, 0.7148, -0.6838], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0094, -0.0055, 0.0003, -0.0093, -0.0023, 0.0003], dtype=torch.float64, requires_grad=True) ll=-3088.60391568118, sigma_a=0.08112737792029248, pos_x_R_std=4.978997736380743, pos_y_R_std=5.12188687431338, m0=tensor([ 3.5513, -1.8173, 0.1267, -0.3183, 0.7142, -0.6826], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0086, -0.0021, 0.0010, -0.0085, -0.0008, 0.0008], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 33 likelihood: -3088.60391568118 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9790], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1219], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5513, -1.8173, 0.1267, -0.3183, 0.7142, -0.6826], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0086, -0.0021, 0.0010, -0.0085, -0.0008, 0.0008], dtype=torch.float64, requires_grad=True) ll=-3088.60391568118, sigma_a=0.08112737792029248, pos_x_R_std=4.978997736380743, pos_y_R_std=5.12188687431338, m0=tensor([ 3.5513, -1.8173, 0.1267, -0.3183, 0.7142, -0.6826], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0086, -0.0021, 0.0010, -0.0085, -0.0008, 0.0008], dtype=torch.float64, requires_grad=True) ll=-3088.603772464732, sigma_a=0.08112514490820592, pos_x_R_std=4.979469053423462, pos_y_R_std=5.122000406889393, m0=tensor([ 3.5514, -1.8144, 0.1253, -0.3188, 0.7129, -0.6819], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0071, 0.0008, 0.0002, -0.0071, 0.0004, 0.0001], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 34 likelihood: -3088.603772464732 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9795], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1220], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5514, -1.8144, 0.1253, -0.3188, 0.7129, -0.6819], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0071, 0.0008, 0.0002, -0.0071, 0.0004, 0.0001], dtype=torch.float64, requires_grad=True) ll=-3088.603772464732, sigma_a=0.08112514490820592, pos_x_R_std=4.979469053423462, pos_y_R_std=5.122000406889393, m0=tensor([ 3.5514, -1.8144, 0.1253, -0.3188, 0.7129, -0.6819], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0071, 0.0008, 0.0002, -0.0071, 0.0004, 0.0001], dtype=torch.float64, requires_grad=True) ll=-3088.6037009296865, sigma_a=0.08109224786594144, pos_x_R_std=4.979754922991829, pos_y_R_std=5.122186270473922, m0=tensor([ 3.5524, -1.8115, 0.1234, -0.3192, 0.7119, -0.6818], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0053, 0.0018, -0.0002, -0.0054, 0.0008, -0.0002], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 35 likelihood: -3088.6037009296865 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9798], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1222], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5524, -1.8115, 0.1234, -0.3192, 0.7119, -0.6818], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0053, 0.0018, -0.0002, -0.0054, 0.0008, -0.0002], dtype=torch.float64, requires_grad=True) ll=-3088.6037009296865, sigma_a=0.08109224786594144, pos_x_R_std=4.979754922991829, pos_y_R_std=5.122186270473922, m0=tensor([ 3.5524, -1.8115, 0.1234, -0.3192, 0.7119, -0.6818], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0053, 0.0018, -0.0002, -0.0054, 0.0008, -0.0002], dtype=torch.float64, requires_grad=True) ll=-3088.6036694371724, sigma_a=0.08107327827077322, pos_x_R_std=4.979973650800323, pos_y_R_std=5.1223066187896915, m0=tensor([ 3.5531, -1.8094, 0.1220, -0.3196, 0.7111, -0.6815], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0038, 0.0017, -0.0005, -0.0040, 0.0007, -0.0004], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 36 likelihood: -3088.6036694371724 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9800], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1223], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5531, -1.8094, 0.1220, -0.3196, 0.7111, -0.6815], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0038, 0.0017, -0.0005, -0.0040, 0.0007, -0.0004], dtype=torch.float64, requires_grad=True) ll=-3088.6036694371724, sigma_a=0.08107327827077322, pos_x_R_std=4.979973650800323, pos_y_R_std=5.1223066187896915, m0=tensor([ 3.5531, -1.8094, 0.1220, -0.3196, 0.7111, -0.6815], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0038, 0.0017, -0.0005, -0.0040, 0.0007, -0.0004], dtype=torch.float64, requires_grad=True) ll=-3088.603648768047, sigma_a=0.08106543916515904, pos_x_R_std=4.979993661870076, pos_y_R_std=5.122323495278795, m0=tensor([ 3.5540, -1.8085, 0.1212, -0.3201, 0.7104, -0.6810], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0027, 0.0011, -0.0004, -0.0029, 0.0004, -0.0004], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 37 likelihood: -3088.603648768047 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9800], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1223], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5540, -1.8085, 0.1212, -0.3201, 0.7104, -0.6810], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-0.0027, 0.0011, -0.0004, -0.0029, 0.0004, -0.0004], dtype=torch.float64, requires_grad=True) ll=-3088.603648768047, sigma_a=0.08106543916515904, pos_x_R_std=4.979993661870076, pos_y_R_std=5.122323495278795, m0=tensor([ 3.5540, -1.8085, 0.1212, -0.3201, 0.7104, -0.6810], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-0.0027, 0.0011, -0.0004, -0.0029, 0.0004, -0.0004], dtype=torch.float64, requires_grad=True) ll=-3088.603634683067, sigma_a=0.08107209927858218, pos_x_R_std=4.9798420831092445, pos_y_R_std=5.122250655271556, m0=tensor([ 3.5551, -1.8087, 0.1210, -0.3207, 0.7099, -0.6803], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-1.6544e-03, 1.8478e-04, -9.6225e-05, -1.8773e-03, 3.7386e-05, -7.2998e-05], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 38 likelihood: -3088.603634683067 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9798], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1223], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5551, -1.8087, 0.1210, -0.3207, 0.7099, -0.6803], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-1.6544e-03, 1.8478e-04, -9.6225e-05, -1.8773e-03, 3.7386e-05, -7.2998e-05], dtype=torch.float64, requires_grad=True) ll=-3088.603634683067, sigma_a=0.08107209927858218, pos_x_R_std=4.9798420831092445, pos_y_R_std=5.122250655271556, m0=tensor([ 3.5551, -1.8087, 0.1210, -0.3207, 0.7099, -0.6803], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-1.6544e-03, 1.8478e-04, -9.6225e-05, -1.8773e-03, 3.7386e-05, -7.2998e-05], dtype=torch.float64, requires_grad=True) ll=-3088.603632854425, sigma_a=0.08107649631904428, pos_x_R_std=4.979761552853667, pos_y_R_std=5.122213784027458, m0=tensor([ 3.5553, -1.8092, 0.1212, -0.3208, 0.7099, -0.6801], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-1.5061e-03, -1.1599e-04, 2.1197e-05, -1.7180e-03, -6.5317e-05, 4.6706e-05], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 39 likelihood: -3088.603632854425 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9798], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1222], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5553, -1.8092, 0.1212, -0.3208, 0.7099, -0.6801], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-1.5061e-03, -1.1599e-04, 2.1197e-05, -1.7180e-03, -6.5317e-05, 4.6706e-05], dtype=torch.float64, requires_grad=True) ll=-3088.603632854425, sigma_a=0.08107649631904428, pos_x_R_std=4.979761552853667, pos_y_R_std=5.122213784027458, m0=tensor([ 3.5553, -1.8092, 0.1212, -0.3208, 0.7099, -0.6801], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-1.5061e-03, -1.1599e-04, 2.1197e-05, -1.7180e-03, -6.5317e-05, 4.6706e-05], dtype=torch.float64, requires_grad=True) ll=-3088.6036322648265, sigma_a=0.08107891426609655, pos_x_R_std=4.97973202082332, pos_y_R_std=5.12219949596513, m0=tensor([ 3.5553, -1.8094, 0.1214, -0.3208, 0.7100, -0.6801], dtype=torch.float64, requires_grad=True), sqrt_diag_V0=tensor([-1.4664e-03, -1.8853e-04, 5.9503e-05, -1.6684e-03, -8.2147e-05, 8.4051e-05], dtype=torch.float64, requires_grad=True) -------------------------------------------------------------------------------- epoch: 40 likelihood: -3088.6036322648265 sigma_a: tensor([0.0811], dtype=torch.float64, requires_grad=True) pos_x_R_std: tensor([4.9797], dtype=torch.float64, requires_grad=True) pos_y_R_std: tensor([5.1222], dtype=torch.float64, requires_grad=True) m0: tensor([ 3.5553, -1.8094, 0.1214, -0.3208, 0.7100, -0.6801], dtype=torch.float64, requires_grad=True) sqrt_diag_V0: tensor([-1.4664e-03, -1.8853e-04, 5.9503e-05, -1.6684e-03, -8.2147e-05, 8.4051e-05], dtype=torch.float64, requires_grad=True) .. GENERATED FROM PYTHON SOURCE LINES 248-252 EM ^^ Code for `ssm.learning.em_SS_tracking `_ .. GENERATED FROM PYTHON SOURCE LINES 252-261 .. code-block:: default V0_0 = np.diag(sqrt_diag_V0_0**2) R0 = np.diag(sqrt_diag_R_0) Qe_reg_param = 1e-5 Qe_regularized = Qe + Qe_reg_param*np.eye(Qe.shape[0]) optim_res_em = ssm.learning.em_SS_tracking( y=y, B=B, sigma_a0=sigma_a0, Qe=Qe_regularized, Z=Z, R_0=R0, m0_0=m0_0, V0_0=V0_0, vars_to_estimate=em_vars_to_estimate, max_iter=em_max_iter) .. rst-class:: sphx-glr-script-out .. code-block:: none LogLike[0000]=-233006.621729 sigma_a=0.250000 R: [[0.05 0. ] [0. 0.05]] m0: [ 3.55529482 -1.80940282 0.12136617 -0.32078742 0.70995184 -0.68009816] V0: [[2.15021056e-06 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 3.55435166e-08 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 3.54065931e-09 0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00 2.78367422e-06 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.74805723e-09 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.06463881e-09]] LogLike[0001]=-3114.440657 sigma_a=0.438607 R: [[22.26249681 0.52536519] [ 0.52536519 23.78722176]] m0: [ 3.55560956 -1.80940351 0.12136611 -0.3209963 0.70995193 -0.68009812] V0: [[ 2.14947305e-06 -5.47427724e-12 -1.08805529e-13 0.00000000e+00 0.00000000e+00 0.00000000e+00] [-5.47427725e-12 3.55434578e-08 -1.61591971e-15 0.00000000e+00 0.00000000e+00 0.00000000e+00] [-1.08805529e-13 -1.61591971e-15 3.54065923e-09 0.00000000e+00 0.00000000e+00 0.00000000e+00] [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.78243827e-06 -1.34536233e-12 -2.81028988e-13] [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 -1.34536233e-12 6.74805512e-09 -6.12100319e-16] [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 -2.81028988e-13 -6.12100319e-16 7.06463853e-09]] LogLike[0002]=-3112.152959 sigma_a=0.436790 R: [[24.60644699 0.61730572] [ 0.61730572 25.7661148 ]] m0: [ 3.55560902 -1.80940353 0.12136611 -0.32099607 0.70995193 -0.68009812] V0: [[ 2.14946900e-06 -5.54293857e-12 -1.12141360e-13 9.60989268e-14 1.91778075e-16 7.23417168e-17] [-5.54293857e-12 3.55434561e-08 -1.72903680e-15 1.30767116e-15 3.58588045e-18 1.61823270e-18] [-1.12141360e-13 -1.72903680e-15 3.54065922e-09 4.69343371e-17 1.53973960e-19 7.90796019e-20] [ 9.60989268e-14 1.30767116e-15 4.69343371e-17 2.78243185e-06 -1.36151540e-12 -2.89373047e-13] [ 1.91778075e-16 3.58588041e-18 1.53973960e-19 -1.36151540e-12 6.74805506e-09 -6.54057598e-16] [ 7.23417168e-17 1.61823270e-18 7.90796019e-20 -2.89373047e-13 -6.54057598e-16 7.06463848e-09]] LogLike[0003]=-3112.045832 sigma_a=0.434967 R: [[24.6905498 0.61456208] [ 0.61456208 25.83113368]] m0: [ 3.55560854 -1.80940354 0.12136611 -0.32099586 0.70995194 -0.68009812] V0: [[ 2.14946526e-06 -5.60740347e-12 -1.15333200e-13 1.92072835e-13 3.86474766e-16 1.47084369e-16] [-5.60740347e-12 3.55434545e-08 -1.83924035e-15 2.63524256e-15 7.28793742e-18 3.31820293e-18] [-1.15333200e-13 -1.83924035e-15 3.54065921e-09 9.54263535e-17 3.15725230e-19 1.63593628e-19] [ 1.92072834e-13 2.63524257e-15 9.54263535e-17 2.78242582e-06 -1.37688422e-12 -2.97435220e-13] [ 3.86474766e-16 7.28793736e-18 3.15725230e-19 -1.37688422e-12 6.74805500e-09 -6.95196558e-16] [ 1.47084369e-16 3.31820293e-18 1.63593628e-19 -2.97435220e-13 -6.95196558e-16 7.06463844e-09]] LogLike[0004]=-3111.941937 sigma_a=0.433165 R: [[24.69404668 0.61381894] [ 0.61381894 25.83336912]] m0: [ 3.55560805 -1.80940356 0.12136611 -0.32099565 0.70995194 -0.68009812] V0: [[ 2.14946153e-06 -5.67190687e-12 -1.18533530e-13 2.87243673e-13 5.79907514e-16 2.21491907e-16] [-5.67190687e-12 3.55434528e-08 -1.94995408e-15 3.95419575e-15 1.09730865e-17 5.01380330e-18] [-1.18533530e-13 -1.94995408e-15 3.54065920e-09 1.43700978e-16 4.77060748e-19 2.48057625e-19] [ 2.87243673e-13 3.95419575e-15 1.43700978e-16 2.78241980e-06 -1.39227123e-12 -3.05522313e-13] [ 5.79907514e-16 1.09730865e-17 4.77060748e-19 -1.39227123e-12 6.74805494e-09 -7.36537616e-16] [ 2.21491907e-16 5.01380330e-18 2.48057625e-19 -3.05522313e-13 -7.36537616e-16 7.06463839e-09]] LogLike[0005]=-3111.837640 sigma_a=0.431360 R: [[24.69472371 0.61331936] [ 0.61331936 25.83356457]] m0: [ 3.55560757 -1.80940358 0.12136611 -0.32099544 0.70995194 -0.68009812] V0: [[ 2.14945780e-06 -5.73658698e-12 -1.21747369e-13 3.82418109e-13 7.73619154e-16 2.96118506e-16] [-5.73658698e-12 3.55434512e-08 -2.06129175e-15 5.27505082e-15 1.46688585e-17 6.71682382e-18] [-1.21747369e-13 -2.06129175e-15 3.54065919e-09 1.92117753e-16 6.39102327e-19 3.33016236e-19] [ 3.82418109e-13 5.27505083e-15 1.92117753e-16 2.78241377e-06 -1.40770094e-12 -3.13643745e-13] [ 7.73619154e-16 1.46688586e-17 6.39102327e-19 -1.40770094e-12 6.74805488e-09 -7.78112332e-16] [ 2.96118506e-16 6.71682382e-18 3.33016236e-19 -3.13643745e-13 -7.78112332e-16 7.06463834e-09]] LogLike[0006]=-3111.734686 sigma_a=0.429583 R: [[24.6953005 0.61283113] [ 0.61283113 25.83369419]] m0: [ 3.55560709 -1.80940359 0.12136611 -0.32099523 0.70995194 -0.68009812] V0: [[ 2.14945406e-06 -5.80145022e-12 -1.24975030e-13 4.77651400e-13 9.67721074e-16 3.71006946e-16] [-5.80145022e-12 3.55434495e-08 -2.17326449e-15 6.59856730e-15 1.83773725e-17 8.42824525e-18] [-1.24975030e-13 -2.17326449e-15 3.54065918e-09 2.40704434e-16 8.01943288e-19 4.18518974e-19] [ 4.77651400e-13 6.59856731e-15 2.40704434e-16 2.78240773e-06 -1.42317452e-12 -3.21800170e-13] [ 9.67721075e-16 1.83773725e-17 8.01943288e-19 -1.42317452e-12 6.74805482e-09 -8.19924400e-16] [ 3.71006946e-16 8.42824525e-18 4.18518974e-19 -3.21800170e-13 -8.19924400e-16 7.06463830e-09]] LogLike[0007]=-3111.631570 sigma_a=0.427807 R: [[24.69586281 0.61234871] [ 0.61234871 25.83382037]] m0: [ 3.5556066 -1.80940361 0.12136611 -0.32099502 0.70995194 -0.68009812] V0: [[ 2.14945031e-06 -5.86649520e-12 -1.28216421e-13 5.72944276e-13 1.16221234e-15 4.46156173e-16] [-5.86649520e-12 3.55434479e-08 -2.28586886e-15 7.92473880e-15 2.20985778e-17 1.01480357e-17] [-1.28216421e-13 -2.28586886e-15 3.54065916e-09 2.89460339e-16 9.65580595e-19 5.04564192e-19] [ 5.72944276e-13 7.92473880e-15 2.89460339e-16 2.78240169e-06 -1.43869162e-12 -3.29991352e-13] [ 1.16221234e-15 2.20985778e-17 9.65580595e-19 -1.43869162e-12 6.74805476e-09 -8.61972519e-16] [ 4.46156173e-16 1.01480357e-17 5.04564192e-19 -3.29991352e-13 -8.61972519e-16 7.06463825e-09]] LogLike[0008]=-3111.528983 sigma_a=0.426044 R: [[24.69642162 0.61186496] [ 0.61186496 25.83394692]] m0: [ 3.55560612 -1.80940363 0.12136611 -0.32099481 0.70995194 -0.68009812] V0: [[ 2.14944656e-06 -5.93172305e-12 -1.31471648e-13 6.68298126e-13 1.35709735e-15 5.21568848e-16] [-5.93172305e-12 3.55434462e-08 -2.39911052e-15 9.25359538e-15 2.58326041e-17 1.18762840e-17] [-1.31471648e-13 -2.39911052e-15 3.54065915e-09 3.38387192e-16 1.13002270e-18 5.91158129e-19] [ 6.68298126e-13 9.25359538e-15 3.38387192e-16 2.78239563e-06 -1.45425252e-12 -3.38217554e-13] [ 1.35709735e-15 2.58326042e-17 1.13002270e-18 -1.45425252e-12 6.74805470e-09 -9.04258798e-16] [ 5.21568848e-16 1.18762840e-17 5.91158129e-19 -3.38217554e-13 -9.04258798e-16 7.06463820e-09]] LogLike[0009]=-3111.424129 sigma_a=0.424247 R: [[24.69697371 0.61138276] [ 0.61138276 25.83407319]] m0: [ 3.55560564 -1.80940365 0.12136611 -0.3209946 0.70995194 -0.68009812] V0: [[ 2.14944281e-06 -5.99713364e-12 -1.34740720e-13 7.63712242e-13 1.55237446e-15 5.97244548e-16] [-5.99713364e-12 3.55434445e-08 -2.51299084e-15 1.05851257e-14 2.95794304e-17 1.36129926e-17] [-1.34740720e-13 -2.51299084e-15 3.54065914e-09 3.87484721e-16 1.29526983e-18 6.78301869e-19] [ 7.63712242e-13 1.05851257e-14 3.87484721e-16 2.78238957e-06 -1.46985717e-12 -3.46478801e-13] [ 1.55237446e-15 2.95794304e-17 1.29526983e-18 -1.46985717e-12 6.74805465e-09 -9.46783751e-16] [ 5.97244548e-16 1.36129926e-17 6.78301869e-19 -3.46478801e-13 -9.46783751e-16 7.06463816e-09]] LogLike[0010]=-3111.321747 sigma_a=0.422497 R: [[24.69753337 0.61088951] [ 0.61088951 25.83420249]] m0: [ 3.55560516 -1.80940366 0.12136611 -0.3209944 0.70995195 -0.68009812] V0: [[ 2.14943905e-06 -6.06273191e-12 -1.38024031e-13 8.59190174e-13 1.74805808e-15 6.73192137e-16] [-6.06273192e-12 3.55434428e-08 -2.62752882e-15 1.19194282e-14 3.33394884e-17 1.53584433e-17] [-1.38024031e-13 -2.62752882e-15 3.54065913e-09 4.36758675e-16 1.46134883e-18 7.66014008e-19] [ 8.59190174e-13 1.19194282e-14 4.36758675e-16 2.78238350e-06 -1.48550676e-12 -3.54776086e-13] [ 1.74805808e-15 3.33394884e-17 1.46134883e-18 -1.48550676e-12 6.74805459e-09 -9.89554469e-16] [ 6.73192137e-16 1.53584433e-17 7.66014008e-19 -3.54776086e-13 -9.89554469e-16 7.06463811e-09]] LogLike[0011]=-3111.219862 sigma_a=0.420760 R: [[24.69807672 0.61040632] [ 0.61040632 25.83432939]] m0: [ 3.55560468 -1.80940368 0.12136611 -0.32099419 0.70995195 -0.68009811] V0: [[ 2.14943528e-06 -6.12851423e-12 -1.41321326e-13 9.54727010e-13 1.94413285e-15 7.49403767e-16] [-6.12851423e-12 3.55434411e-08 -2.74271369e-15 1.32563979e-14 3.71123938e-17 1.71124225e-17] [-1.41321326e-13 -2.74271369e-15 3.54065912e-09 4.86203965e-16 1.62823933e-18 8.54282417e-19] [ 9.54727010e-13 1.32563980e-14 4.86203965e-16 2.78237741e-06 -1.50120041e-12 -3.63108769e-13] [ 1.94413285e-15 3.71123938e-17 1.62823933e-18 -1.50120041e-12 6.74805453e-09 -1.03256693e-15] [ 7.49403767e-16 1.71124225e-17 8.54282417e-19 -3.63108769e-13 -1.03256693e-15 7.06463806e-09]] LogLike[0012]=-3111.117788 sigma_a=0.419023 R: [[24.69861314 0.60992497] [ 0.60992497 25.834456 ]] m0: [ 3.5556042 -1.8094037 0.12136611 -0.32099398 0.70995195 -0.68009811] V0: [[ 2.14943151e-06 -6.19448054e-12 -1.44632622e-13 1.05032392e-12 2.14060101e-15 8.25880560e-16] [-6.19448054e-12 3.55434394e-08 -2.85854705e-15 1.45960503e-14 4.08982018e-17 1.88749686e-17] [-1.44632622e-13 -2.85854705e-15 3.54065910e-09 5.35821317e-16 1.79594501e-18 9.43110048e-19] [ 1.05032392e-12 1.45960503e-14 5.35821317e-16 2.78237132e-06 -1.51693813e-12 -3.71476887e-13] [ 2.14060101e-15 4.08982018e-17 1.79594501e-18 -1.51693813e-12 6.74805447e-09 -1.07582174e-15] [ 8.25880560e-16 1.88749686e-17 9.43110048e-19 -3.71476887e-13 -1.07582174e-15 7.06463801e-09]] LogLike[0013]=-3111.016788 sigma_a=0.417309 R: [[24.69914648 0.60944206] [ 0.60944206 25.83458327]] m0: [ 3.55560372 -1.80940371 0.12136611 -0.32099378 0.70995195 -0.68009811] V0: [[ 2.14942773e-06 -6.26063204e-12 -1.47958027e-13 1.14598168e-12 2.33746584e-15 9.02624800e-16] [-6.26063205e-12 3.55434377e-08 -2.97503489e-15 1.59384077e-14 4.46970232e-17 2.06461635e-17] [-1.47958027e-13 -2.97503489e-15 3.54065909e-09 5.85612214e-16 1.96447367e-18 1.03250292e-18] [ 1.14598168e-12 1.59384077e-14 5.85612214e-16 2.78236522e-06 -1.53272018e-12 -3.79880717e-13] [ 2.33746583e-15 4.46970232e-17 1.96447367e-18 -1.53272018e-12 6.74805441e-09 -1.11932113e-15] [ 9.02624800e-16 2.06461635e-17 1.03250292e-18 -3.79880717e-13 -1.11932113e-15 7.06463796e-09]] LogLike[0014]=-3110.916632 sigma_a=0.415613 R: [[24.69967054 0.60896324] [ 0.60896324 25.83470974]] m0: [ 3.55560324 -1.80940373 0.12136611 -0.32099357 0.70995195 -0.68009811] V0: [[ 2.14942395e-06 -6.32696760e-12 -1.51297477e-13 1.24169878e-12 2.53472257e-15 9.79634240e-16] [-6.32696760e-12 3.55434360e-08 -3.09217508e-15 1.72834376e-14 4.85087480e-17 2.24259544e-17] [-1.51297477e-13 -3.09217508e-15 3.54065908e-09 6.35575198e-16 2.13382026e-18 1.12245866e-18] [ 1.24169878e-12 1.72834376e-14 6.35575198e-16 2.78235912e-06 -1.54854629e-12 -3.88320094e-13] [ 2.53472257e-15 4.85087480e-17 2.13382026e-18 -1.54854629e-12 6.74805435e-09 -1.16306429e-15] [ 9.79634240e-16 2.24259544e-17 1.12245866e-18 -3.88320094e-13 -1.16306429e-15 7.06463792e-09]] LogLike[0015]=-3110.816513 sigma_a=0.413921 R: [[24.70018636 0.6084877 ] [ 0.6084877 25.83483565]] m0: [ 3.55560276 -1.80940375 0.1213661 -0.32099337 0.70995195 -0.68009811] V0: [[ 2.14942016e-06 -6.39348650e-12 -1.54650936e-13 1.33747497e-12 2.73236954e-15 1.05690808e-15] [-6.39348650e-12 3.55434343e-08 -3.20996687e-15 1.86311286e-14 5.23333367e-17 2.42143264e-17] [-1.54650936e-13 -3.20996687e-15 3.54065907e-09 6.85709749e-16 2.30398339e-18 1.21297707e-18] [ 1.33747497e-12 1.86311286e-14 6.85709749e-16 2.78235300e-06 -1.56441630e-12 -3.96794928e-13] [ 2.73236954e-15 5.23333367e-17 2.30398339e-18 -1.56441630e-12 6.74805428e-09 -1.20705095e-15] [ 1.05690808e-15 2.42143264e-17 1.21297707e-18 -3.96794928e-13 -1.20705095e-15 7.06463787e-09]] LogLike[0016]=-3110.715310 sigma_a=0.412216 R: [[24.70069803 0.60801171] [ 0.60801171 25.834962 ]] m0: [ 3.55560228 -1.80940376 0.1213661 -0.32099316 0.70995196 -0.68009811] V0: [[ 2.14941636e-06 -6.46018952e-12 -1.58018483e-13 1.43331093e-12 2.93040926e-15 1.13444804e-15] [-6.46018952e-12 3.55434325e-08 -3.32841479e-15 1.99814979e-14 5.61708733e-17 2.60113432e-17] [-1.58018483e-13 -3.32841479e-15 3.54065905e-09 7.36016986e-16 2.47496911e-18 1.30406298e-18] [ 1.43331093e-12 1.99814979e-14 7.36016986e-16 2.78234687e-06 -1.58033038e-12 -4.05305416e-13] [ 2.93040926e-15 5.61708733e-17 2.47496911e-18 -1.58033038e-12 6.74805422e-09 -1.25128280e-15] [ 1.13444804e-15 2.60113432e-17 1.30406298e-18 -4.05305416e-13 -1.25128280e-15 7.06463782e-09]] LogLike[0017]=-3110.615533 sigma_a=0.410538 R: [[24.70121113 0.60753001] [ 0.60753001 25.83509022]] m0: [ 3.5556018 -1.80940378 0.1213661 -0.32099296 0.70995196 -0.68009811] V0: [[ 2.14941257e-06 -6.52707949e-12 -1.61400355e-13 1.52920831e-12 3.12884923e-15 1.21225908e-15] [-6.52707949e-12 3.55434308e-08 -3.44753081e-15 2.13345965e-14 6.00215992e-17 2.78171719e-17] [-1.61400355e-13 -3.44753081e-15 3.54065904e-09 7.86500130e-16 2.64679332e-18 1.39572792e-18] [ 1.52920831e-12 2.13345965e-14 7.86500130e-16 2.78234074e-06 -1.59628922e-12 -4.13852158e-13] [ 3.12884922e-15 6.00215993e-17 2.64679332e-18 -1.59628922e-12 6.74805416e-09 -1.29576431e-15] [ 1.21225908e-15 2.78171719e-17 1.39572792e-18 -4.13852158e-13 -1.29576431e-15 7.06463777e-09]] LogLike[0018]=-3110.515724 sigma_a=0.408864 R: [[24.70171363 0.60705394] [ 0.60705394 25.83521736]] m0: [ 3.55560132 -1.8094038 0.1213661 -0.32099275 0.70995196 -0.68009811] V0: [[ 2.14940876e-06 -6.59415461e-12 -1.64796433e-13 1.62516443e-12 3.32768124e-15 1.29033720e-15] [-6.59415461e-12 3.55434290e-08 -3.56731033e-15 2.26903686e-14 6.38853176e-17 2.96317089e-17] [-1.64796433e-13 -3.56731033e-15 3.54065903e-09 8.37156575e-16 2.81944615e-18 1.48796647e-18] [ 1.62516443e-12 2.26903686e-14 8.37156575e-16 2.78233460e-06 -1.61229237e-12 -4.22434854e-13] [ 3.32768124e-15 6.38853177e-17 2.81944615e-18 -1.61229238e-12 6.74805410e-09 -1.34049375e-15] [ 1.29033720e-15 2.96317089e-17 1.48796647e-18 -4.22434854e-13 -1.34049375e-15 7.06463772e-09]] LogLike[0019]=-3110.416259 sigma_a=0.407199 R: [[24.70221223 0.60657722] [ 0.60657722 25.83534509]] m0: [ 3.55560084 -1.80940381 0.1213661 -0.32099255 0.70995196 -0.68009811] V0: [[ 2.14940495e-06 -6.66141579e-12 -1.68206808e-13 1.72118049e-12 3.52690901e-15 1.36868468e-15] [-6.66141579e-12 3.55434273e-08 -3.68775843e-15 2.40488395e-14 6.77621400e-17 3.14550332e-17] [-1.68206808e-13 -3.68775843e-15 3.54065902e-09 8.87987808e-16 2.99293515e-18 1.58078437e-18] [ 1.72118049e-12 2.40488395e-14 8.87987808e-16 2.78232845e-06 -1.62834006e-12 -4.31053730e-13] [ 3.52690901e-15 6.77621401e-17 2.99293515e-18 -1.62834007e-12 6.74805404e-09 -1.38547304e-15] [ 1.36868468e-15 3.14550332e-17 1.58078437e-18 -4.31053730e-13 -1.38547304e-15 7.06463767e-09]] LogLike[0020]=-3110.317076 sigma_a=0.405543 R: [[24.70270537 0.60610137] [ 0.60610137 25.83547304]] m0: [ 3.55560037 -1.80940383 0.1213661 -0.32099234 0.70995196 -0.68009811] V0: [[ 2.14940114e-06 -6.72886322e-12 -1.71631514e-13 1.81725612e-12 3.72653204e-15 1.44730174e-15] [-6.72886322e-12 3.55434255e-08 -3.80887768e-15 2.54100058e-14 7.16520768e-17 3.32871667e-17] [-1.71631514e-13 -3.80887768e-15 3.54065900e-09 9.38993972e-16 3.16726237e-18 1.67418396e-18] [ 1.81725612e-12 2.54100058e-14 9.38993972e-16 2.78232229e-06 -1.64443234e-12 -4.39708875e-13] [ 3.72653204e-15 7.16520768e-17 3.16726237e-18 -1.64443234e-12 6.74805398e-09 -1.43070311e-15] [ 1.44730174e-15 3.32871667e-17 1.67418396e-18 -4.39708875e-13 -1.43070311e-15 7.06463761e-09]] LogLike[0021]=-3110.219999 sigma_a=0.403926 R: [[24.70319333 0.60562615] [ 0.60562615 25.83560131]] m0: [ 3.55559989 -1.80940385 0.1213661 -0.32099214 0.70995196 -0.68009811] V0: [[ 2.14939732e-06 -6.79649722e-12 -1.75070595e-13 1.91339128e-12 3.92655068e-15 1.52618899e-15] [-6.79649722e-12 3.55434238e-08 -3.93067109e-15 2.67738698e-14 7.55551575e-17 3.51281417e-17] [-1.75070595e-13 -3.93067109e-15 3.54065899e-09 9.90175468e-16 3.34243091e-18 1.76816822e-18] [ 1.91339128e-12 2.67738698e-14 9.90175468e-16 2.78231612e-06 -1.66056926e-12 -4.48400400e-13] [ 3.92655068e-15 7.55551575e-17 3.34243091e-18 -1.66056926e-12 6.74805391e-09 -1.47618510e-15] [ 1.52618899e-15 3.51281417e-17 1.76816822e-18 -4.48400400e-13 -1.47618510e-15 7.06463756e-09]] LogLike[0022]=-3110.121754 sigma_a=0.402293 R: [[24.70366759 0.60516004] [ 0.60516004 25.83572764]] m0: [ 3.55559941 -1.80940386 0.1213661 -0.32099194 0.70995197 -0.68009811] V0: [[ 2.14939349e-06 -6.86431462e-12 -1.78523830e-13 2.00958338e-12 4.12695487e-15 1.60534084e-15] [-6.86431462e-12 3.55434220e-08 -4.05312908e-15 2.81403630e-14 7.94711083e-17 3.69777986e-17] [-1.78523830e-13 -4.05312908e-15 3.54065898e-09 1.04152866e-15 3.51842556e-18 1.86272782e-18] [ 2.00958338e-12 2.81403630e-14 1.04152866e-15 2.78230994e-06 -1.67675008e-12 -4.57127741e-13] [ 4.12695487e-15 7.94711084e-17 3.51842556e-18 -1.67675008e-12 6.74805385e-09 -1.52191543e-15] [ 1.60534084e-15 3.69777986e-17 1.86272782e-18 -4.57127741e-13 -1.52191543e-15 7.06463751e-09]] LogLike[0023]=-3110.024768 sigma_a=0.400685 R: [[24.7041433 0.60468816] [ 0.60468816 25.83585605]] m0: [ 3.55559894 -1.80940388 0.1213661 -0.32099173 0.70995197 -0.68009811] V0: [[ 2.14938966e-06 -6.93231852e-12 -1.81991472e-13 2.10583575e-12 4.32775594e-15 1.68476391e-15] [-6.93231852e-12 3.55434202e-08 -4.17626457e-15 2.95095627e-14 8.34002525e-17 3.88363469e-17] [-1.81991472e-13 -4.17626457e-15 3.54065896e-09 1.09305784e-15 3.69526627e-18 1.95787673e-18] [ 2.10583575e-12 2.95095627e-14 1.09305784e-15 2.78230375e-06 -1.69297554e-12 -4.65891543e-13] [ 4.32775594e-15 8.34002526e-17 3.69526627e-18 -1.69297554e-12 6.74805379e-09 -1.56789892e-15] [ 1.68476391e-15 3.88363469e-17 1.95787673e-18 -4.65891543e-13 -1.56789892e-15 7.06463746e-09]] LogLike[0024]=-3109.927580 sigma_a=0.399077 R: [[24.70460967 0.60422127] [ 0.60422127 25.83598368]] m0: [ 3.55559846 -1.8094039 0.1213661 -0.32099153 0.70995197 -0.68009811] V0: [[ 2.14938582e-06 -7.00050731e-12 -1.85473422e-13 2.20214590e-12 4.52894640e-15 1.76445456e-15] [-7.00050731e-12 3.55434184e-08 -4.30007370e-15 3.08814177e-14 8.73424117e-17 4.07036940e-17] [-1.85473422e-13 -4.30007370e-15 3.54065895e-09 1.14476066e-15 3.87294423e-18 2.05361019e-18] [ 2.20214590e-12 3.08814177e-14 1.14476066e-15 2.78229756e-06 -1.70924524e-12 -4.74691548e-13] [ 4.52894640e-15 8.73424119e-17 3.87294423e-18 -1.70924524e-12 6.74805373e-09 -1.61413413e-15] [ 1.76445456e-15 4.07036940e-17 2.05361019e-18 -4.74691548e-13 -1.61413413e-15 7.06463741e-09]] LogLike[0025]=-3109.830791 sigma_a=0.397479 R: [[24.70507314 0.60375297] [ 0.60375297 25.83611229]] m0: [ 3.55559799 -1.80940391 0.1213661 -0.32099133 0.70995197 -0.68009811] V0: [[ 2.14938198e-06 -7.06888224e-12 -1.88969792e-13 2.29851515e-12 4.73053071e-15 1.84441558e-15] [-7.06888224e-12 3.55434166e-08 -4.42456275e-15 3.22559585e-14 9.12977224e-17 4.25799359e-17] [-1.88969792e-13 -4.42456275e-15 3.54065894e-09 1.19663893e-15 4.05146856e-18 2.14993507e-18] [ 2.29851515e-12 3.22559585e-14 1.19663893e-15 2.78229136e-06 -1.72555948e-12 -4.83528045e-13] [ 4.73053071e-15 9.12977225e-17 4.05146856e-18 -1.72555948e-12 6.74805366e-09 -1.66062339e-15] [ 1.84441558e-15 4.25799359e-17 2.14993507e-18 -4.83528045e-13 -1.66062339e-15 7.06463735e-09]] LogLike[0026]=-3109.733688 sigma_a=0.395879 R: [[24.70553118 0.60328583] [ 0.60328583 25.8362412 ]] m0: [ 3.55559751 -1.80940393 0.1213661 -0.32099113 0.70995197 -0.68009811] V0: [[ 2.14937814e-06 -7.13744337e-12 -1.92480609e-13 2.39494293e-12 4.93250774e-15 1.92464687e-15] [-7.13744337e-12 3.55434148e-08 -4.54973384e-15 3.36331773e-14 9.52661782e-17 4.44650845e-17] [-1.92480609e-13 -4.54973384e-15 3.54065892e-09 1.24869257e-15 4.23084041e-18 2.24685314e-18] [ 2.39494293e-12 3.36331774e-14 1.24869257e-15 2.78228514e-06 -1.74191828e-12 -4.92401099e-13] [ 4.93250774e-15 9.52661783e-17 4.23084041e-18 -1.74191828e-12 6.74805360e-09 -1.70736750e-15] [ 1.92464687e-15 4.44650845e-17 2.24685314e-18 -4.92401099e-13 -1.70736750e-15 7.06463730e-09]] LogLike[0027]=-3109.637426 sigma_a=0.394297 R: [[24.70598694 0.60281663] [ 0.60281663 25.83637135]] m0: [ 3.55559704 -1.80940395 0.1213661 -0.32099093 0.70995197 -0.68009811] V0: [[ 2.14937428e-06 -7.20619215e-12 -1.96006005e-13 2.49143010e-12 5.13488132e-15 2.00515112e-15] [-7.20619215e-12 3.55434130e-08 -4.67559414e-15 3.50131004e-14 9.92479103e-17 4.63592369e-17] [-1.96006005e-13 -4.67559414e-15 3.54065891e-09 1.30092333e-15 4.41106902e-18 2.34437156e-18] [ 2.49143010e-12 3.50131004e-14 1.30092333e-15 2.78227892e-06 -1.75832198e-12 -5.01311042e-13] [ 5.13488132e-15 9.92479103e-17 4.41106902e-18 -1.75832198e-12 6.74805353e-09 -1.75436914e-15] [ 2.00515112e-15 4.63592369e-17 2.34437156e-18 -5.01311042e-13 -1.75436914e-15 7.06463725e-09]] LogLike[0028]=-3109.541054 sigma_a=0.392717 R: [[24.70643536 0.60235065] [ 0.60235065 25.8365013 ]] m0: [ 3.55559656 -1.80940396 0.1213661 -0.32099073 0.70995197 -0.68009811] V0: [[ 2.14937043e-06 -7.27512779e-12 -1.99545939e-13 2.58797534e-12 5.33764755e-15 2.08592658e-15] [-7.27512779e-12 3.55434112e-08 -4.80214265e-15 3.63957011e-14 1.03242833e-16 4.82623553e-17] [-1.99545939e-13 -4.80214265e-15 3.54065890e-09 1.35333009e-15 4.59215078e-18 2.44248890e-18] [ 2.58797534e-12 3.63957011e-14 1.35333009e-15 2.78227269e-06 -1.77477040e-12 -5.10257771e-13] [ 5.33764755e-15 1.03242833e-16 4.59215078e-18 -1.77477040e-12 6.74805347e-09 -1.80162794e-15] [ 2.08592658e-15 4.82623553e-17 2.44248890e-18 -5.10257771e-13 -1.80162794e-15 7.06463719e-09]] LogLike[0029]=-3109.445717 sigma_a=0.391157 R: [[24.70688054 0.60188364] [ 0.60188364 25.83663225]] m0: [ 3.55559609 -1.80940398 0.1213661 -0.32099053 0.70995198 -0.68009811] V0: [[ 2.14936656e-06 -7.34425136e-12 -2.03100513e-13 2.68457958e-12 5.54080981e-15 2.16697554e-15] [-7.34425136e-12 3.55434094e-08 -4.92938514e-15 3.77810023e-14 1.07251057e-16 5.01745218e-17] [-2.03100513e-13 -4.92938514e-15 3.54065888e-09 1.40591432e-15 4.77409352e-18 2.54121130e-18] [ 2.68457958e-12 3.77810023e-14 1.40591432e-15 2.78226646e-06 -1.79126378e-12 -5.19241545e-13] [ 5.54080980e-15 1.07251057e-16 4.77409352e-18 -1.79126378e-12 6.74805341e-09 -1.84914604e-15] [ 2.16697554e-15 5.01745218e-17 2.54121130e-18 -5.19241545e-13 -1.84914604e-15 7.06463714e-09]] LogLike[0030]=-3109.350328 sigma_a=0.389600 R: [[24.70731759 0.60142083] [ 0.60142083 25.83676279]] m0: [ 3.55559562 -1.80940399 0.1213661 -0.32099033 0.70995198 -0.68009811] V0: [[ 2.14936270e-06 -7.41356167e-12 -2.06669655e-13 2.78124139e-12 5.74436336e-15 2.24829567e-15] [-7.41356167e-12 3.55434075e-08 -5.05731913e-15 3.91689720e-14 1.11272468e-16 5.20956794e-17] [-2.06669655e-13 -5.05731913e-15 3.54065887e-09 1.45867452e-15 4.95689179e-18 2.64053605e-18] [ 2.78124139e-12 3.91689720e-14 1.45867452e-15 2.78226021e-06 -1.80780183e-12 -5.28262180e-13] [ 5.74436336e-15 1.11272468e-16 4.95689179e-18 -1.80780183e-12 6.74805334e-09 -1.89692251e-15] [ 2.24829567e-15 5.20956794e-17 2.64053605e-18 -5.28262180e-13 -1.89692251e-15 7.06463708e-09]] LogLike[0031]=-3109.255452 sigma_a=0.388054 R: [[24.70775117 0.60095731] [ 0.60095731 25.8368943 ]] m0: [ 3.55559514 -1.80940401 0.1213661 -0.32099013 0.70995198 -0.68009811] V0: [[ 2.14935882e-06 -7.48305967e-12 -2.10253460e-13 2.87796176e-12 5.94831159e-15 2.32988920e-15] [-7.48305968e-12 3.55434057e-08 -5.18594998e-15 4.05596330e-14 1.15307175e-16 5.40259070e-17] [-2.10253460e-13 -5.18594998e-15 3.54065885e-09 1.51161212e-15 5.14055312e-18 2.74046903e-18] [ 2.87796176e-12 4.05596330e-14 1.51161212e-15 2.78225395e-06 -1.82438479e-12 -5.37319913e-13] [ 5.94831159e-15 1.15307175e-16 5.14055312e-18 -1.82438479e-12 6.74805328e-09 -1.94495936e-15] [ 2.32988920e-15 5.40259070e-17 2.74046903e-18 -5.37319913e-13 -1.94495936e-15 7.06463703e-09]] LogLike[0032]=-3109.160999 sigma_a=0.386519 R: [[24.70817901 0.60049557] [ 0.60049557 25.83702611]] m0: [ 3.55559467 -1.80940403 0.1213661 -0.32098993 0.70995198 -0.6800981 ] V0: [[ 2.14935494e-06 -7.55274519e-12 -2.13851933e-13 2.97474006e-12 6.15265289e-15 2.41175565e-15] [-7.55274520e-12 3.55434038e-08 -5.31527895e-15 4.19529746e-14 1.19355154e-16 5.59652056e-17] [-2.13851933e-13 -5.31527895e-15 3.54065884e-09 1.56472683e-15 5.32507760e-18 2.84101130e-18] [ 2.97474006e-12 4.19529746e-14 1.56472683e-15 2.78224769e-06 -1.84101261e-12 -5.46414760e-13] [ 6.15265289e-15 1.19355154e-16 5.32507760e-18 -1.84101261e-12 6.74805321e-09 -1.99325706e-15] [ 2.41175565e-15 5.59652056e-17 2.84101130e-18 -5.46414760e-13 -1.99325706e-15 7.06463697e-09]] LogLike[0033]=-3109.066511 sigma_a=0.384987 R: [[24.70860145 0.60003529] [ 0.60003529 25.83715835]] m0: [ 3.5555942 -1.80940404 0.1213661 -0.32098973 0.70995198 -0.6800981 ] V0: [[ 2.14935106e-06 -7.62261824e-12 -2.17465095e-13 3.07157620e-12 6.35738703e-15 2.49389522e-15] [-7.62261824e-12 3.55434020e-08 -5.44530794e-15 4.33489950e-14 1.23416415e-16 5.79135935e-17] [-2.17465095e-13 -5.44530794e-15 3.54065883e-09 1.61801877e-15 5.51046696e-18 2.94216491e-18] [ 3.07157620e-12 4.33489950e-14 1.61801877e-15 2.78224142e-06 -1.85768529e-12 -5.55546771e-13] [ 6.35738703e-15 1.23416415e-16 5.51046696e-18 -1.85768529e-12 6.74805315e-09 -2.04181631e-15] [ 2.49389522e-15 5.79135935e-17 2.94216491e-18 -5.55546771e-13 -2.04181631e-15 7.06463692e-09]] LogLike[0034]=-3108.972351 sigma_a=0.383463 R: [[24.70902051 0.59957429] [ 0.59957429 25.83729165]] m0: [ 3.55559373 -1.80940406 0.1213661 -0.32098953 0.70995198 -0.6800981 ] V0: [[ 2.14934717e-06 -7.69267972e-12 -2.21093038e-13 3.16847069e-12 6.56251636e-15 2.57630971e-15] [-7.69267973e-12 3.55434001e-08 -5.57604224e-15 4.47477104e-14 1.27491045e-16 5.98711399e-17] [-2.21093038e-13 -5.57604224e-15 3.54065881e-09 1.67148911e-15 5.69672781e-18 3.04393527e-18] [ 3.16847069e-12 4.47477104e-14 1.67148911e-15 2.78223514e-06 -1.87440305e-12 -5.64716179e-13] [ 6.56251636e-15 1.27491045e-16 5.69672781e-18 -1.87440305e-12 6.74805308e-09 -2.09063909e-15] [ 2.57630971e-15 5.98711399e-17 3.04393527e-18 -5.64716179e-13 -2.09063909e-15 7.06463686e-09]] LogLike[0035]=-3108.878572 sigma_a=0.381948 R: [[24.70943471 0.59911424] [ 0.59911424 25.8374256 ]] m0: [ 3.55559326 -1.80940408 0.1213661 -0.32098933 0.70995199 -0.6800981 ] V0: [[ 2.14934328e-06 -7.76292984e-12 -2.24735797e-13 3.26542317e-12 6.76804033e-15 2.65899931e-15] [-7.76292984e-12 3.55433982e-08 -5.70748449e-15 4.61491169e-14 1.31579051e-16 6.18378660e-17] [-2.24735797e-13 -5.70748449e-15 3.54065880e-09 1.72513796e-15 5.88386215e-18 3.14632475e-18] [ 3.26542318e-12 4.61491169e-14 1.72513796e-15 2.78222885e-06 -1.89116593e-12 -5.73923071e-13] [ 6.76804033e-15 1.31579051e-16 5.88386215e-18 -1.89116593e-12 6.74805301e-09 -2.13972638e-15] [ 2.65899931e-15 6.18378660e-17 3.14632475e-18 -5.73923071e-13 -2.13972638e-15 7.06463681e-09]] LogLike[0036]=-3108.783662 sigma_a=0.380419 R: [[24.70984382 0.59865543] [ 0.59865543 25.83756011]] m0: [ 3.55559279 -1.80940409 0.1213661 -0.32098913 0.70995199 -0.6800981 ] V0: [[ 2.14933938e-06 -7.83336868e-12 -2.28393399e-13 3.36243348e-12 6.97395866e-15 2.74196423e-15] [-7.83336868e-12 3.55433964e-08 -5.83963690e-15 4.75532127e-14 1.35680445e-16 6.38137924e-17] [-2.28393399e-13 -5.83963690e-15 3.54065878e-09 1.77896547e-15 6.07187194e-18 3.24933561e-18] [ 3.36243348e-12 4.75532127e-14 1.77896547e-15 2.78222255e-06 -1.90797395e-12 -5.83167514e-13] [ 6.97395866e-15 1.35680445e-16 6.07187194e-18 -1.90797395e-12 6.74805295e-09 -2.18907900e-15] [ 2.74196423e-15 6.38137924e-17 3.24933561e-18 -5.83167514e-13 -2.18907900e-15 7.06463675e-09]] LogLike[0037]=-3108.689803 sigma_a=0.378910 R: [[24.71025415 0.59819072] [ 0.59819072 25.83769733]] m0: [ 3.55559232 -1.80940411 0.1213661 -0.32098894 0.70995199 -0.6800981 ] V0: [[ 2.14933547e-06 -7.90399939e-12 -2.32066112e-13 3.45950366e-12 7.18028020e-15 2.82521028e-15] [-7.90399940e-12 3.55433945e-08 -5.97251327e-15 4.89600582e-14 1.39795509e-16 6.57991154e-17] [-2.32066112e-13 -5.97251327e-15 3.54065877e-09 1.83297542e-15 6.26077586e-18 3.35298162e-18] [ 3.45950366e-12 4.89600582e-14 1.83297542e-15 2.78221624e-06 -1.92482787e-12 -5.92450188e-13] [ 7.18028020e-15 1.39795509e-16 6.26077586e-18 -1.92482787e-12 6.74805288e-09 -2.23870211e-15] [ 2.82521028e-15 6.57991154e-17 3.35298162e-18 -5.92450188e-13 -2.23870211e-15 7.06463669e-09]] LogLike[0038]=-3108.599512 sigma_a=0.377461 R: [[24.7106568 0.59773022] [ 0.59773022 25.83783433]] m0: [ 3.55559185 -1.80940412 0.1213661 -0.32098874 0.70995199 -0.6800981 ] V0: [[ 2.14933156e-06 -7.97482071e-12 -2.35753857e-13 3.55663145e-12 7.38699827e-15 2.90873429e-15] [-7.97482071e-12 3.55433926e-08 -6.10611077e-15 5.03696077e-14 1.43924087e-16 6.77937561e-17] [-2.35753857e-13 -6.10611077e-15 3.54065875e-09 1.88716572e-15 6.45056640e-18 3.45725885e-18] [ 3.55663145e-12 5.03696077e-14 1.88716572e-15 2.78220993e-06 -1.94172737e-12 -6.01770889e-13] [ 7.38699827e-15 1.43924088e-16 6.45056640e-18 -1.94172737e-12 6.74805281e-09 -2.28859464e-15] [ 2.90873429e-15 6.77937561e-17 3.45725885e-18 -6.01770889e-13 -2.28859464e-15 7.06463663e-09]] LogLike[0039]=-3108.507963 sigma_a=0.375995 R: [[24.7110413 0.59728623] [ 0.59728623 25.83796743]] m0: [ 3.55559138 -1.80940414 0.1213661 -0.32098854 0.70995199 -0.6800981 ] V0: [[ 2.14932764e-06 -8.04582617e-12 -2.39456146e-13 3.65381260e-12 7.59409453e-15 2.99252513e-15] [-8.04582617e-12 3.55433907e-08 -6.24040690e-15 5.17817362e-14 1.48065638e-16 6.97973725e-17] [-2.39456146e-13 -6.24040690e-15 3.54065874e-09 1.94152919e-15 6.64121103e-18 3.56214569e-18] [ 3.65381260e-12 5.17817362e-14 1.94152919e-15 2.78220360e-06 -1.95867091e-12 -6.11128384e-13] [ 7.59409453e-15 1.48065638e-16 6.64121103e-18 -1.95867091e-12 6.74805275e-09 -2.33874821e-15] [ 2.99252513e-15 6.97973725e-17 3.56214569e-18 -6.11128384e-13 -2.33874821e-15 7.06463658e-09]] LogLike[0040]=-3108.417017 sigma_a=0.374542 R: [[24.71142719 0.59683627] [ 0.59683627 25.83810331]] m0: [ 3.55559091 -1.80940416 0.1213661 -0.32098835 0.70995199 -0.6800981 ] V0: [[ 2.14932372e-06 -8.11701920e-12 -2.43173266e-13 3.75105190e-12 7.80158400e-15 3.07659126e-15] [-8.11701920e-12 3.55433888e-08 -6.37541643e-15 5.31965462e-14 1.52220574e-16 7.18102277e-17] [-2.43173266e-13 -6.37541643e-15 3.54065873e-09 1.99607129e-15 6.83273478e-18 3.66765957e-18] [ 3.75105190e-12 5.31965462e-14 1.99607129e-15 2.78219727e-06 -1.97565931e-12 -6.20523400e-13] [ 7.80158400e-15 1.52220574e-16 6.83273478e-18 -1.97565931e-12 6.74805268e-09 -2.38916830e-15] [ 3.07659126e-15 7.18102277e-17 3.66765957e-18 -6.20523400e-13 -2.38916830e-15 7.06463652e-09]] LogLike[0041]=-3108.326166 sigma_a=0.373093 R: [[24.71180755 0.59638845] [ 0.59638845 25.83823962]] m0: [ 3.55559044 -1.80940417 0.12136609 -0.32098815 0.70995199 -0.6800981 ] V0: [[ 2.14931980e-06 -8.18839940e-12 -2.46905206e-13 3.84834769e-12 8.00946251e-15 3.16093102e-15] [-8.18839940e-12 3.55433868e-08 -6.51113968e-15 5.46140092e-14 1.56388813e-16 7.38322903e-17] [-2.46905206e-13 -6.51113968e-15 3.54065871e-09 2.05079096e-15 7.02513466e-18 3.77379966e-18] [ 3.84834769e-12 5.46140092e-14 2.05079096e-15 2.78219093e-06 -1.99269247e-12 -6.29955904e-13] [ 8.00946251e-15 1.56388813e-16 7.02513466e-18 -1.99269247e-12 6.74805261e-09 -2.43985505e-15] [ 3.16093102e-15 7.38322903e-17 3.77379966e-18 -6.29955904e-13 -2.43985505e-15 7.06463646e-09]] LogLike[0042]=-3108.232375 sigma_a=0.371600 R: [[24.71218422 0.5959406 ] [ 0.5959406 25.83837701]] m0: [ 3.55558998 -1.80940419 0.12136609 -0.32098795 0.709952 -0.6800981 ] V0: [[ 2.14931587e-06 -8.25996739e-12 -2.50652036e-13 3.94570041e-12 8.21773187e-15 3.24554582e-15] [-8.25996739e-12 3.55433849e-08 -6.64758096e-15 5.60341374e-14 1.60570424e-16 7.58636165e-17] [-2.50652036e-13 -6.64758096e-15 3.54065870e-09 2.10568910e-15 7.21841602e-18 3.88057052e-18] [ 3.94570041e-12 5.60341374e-14 2.10568910e-15 2.78218458e-06 -2.00977053e-12 -6.39426074e-13] [ 8.21773187e-15 1.60570424e-16 7.21841602e-18 -2.00977053e-12 6.74805254e-09 -2.49081006e-15] [ 3.24554582e-15 7.58636165e-17 3.88057052e-18 -6.39426074e-13 -2.49081006e-15 7.06463640e-09]] LogLike[0043]=-3108.141156 sigma_a=0.370152 R: [[24.71256926 0.59547818] [ 0.59547818 25.83852003]] m0: [ 3.55558951 -1.80940421 0.12136609 -0.32098776 0.709952 -0.6800981 ] V0: [[ 2.14931193e-06 -8.33173017e-12 -2.54414329e-13 4.04311458e-12 8.42641166e-15 3.33044822e-15] [-8.33173017e-12 3.55433830e-08 -6.78476889e-15 5.74570646e-14 1.64766018e-16 7.79046208e-17] [-2.54414329e-13 -6.78476889e-15 3.54065868e-09 2.16077386e-15 7.41261830e-18 3.98800043e-18] [ 4.04311458e-12 5.74570646e-14 2.16077386e-15 2.78217822e-06 -2.02689517e-12 -6.48935358e-13] [ 8.42641166e-15 1.64766018e-16 7.41261830e-18 -2.02689517e-12 6.74805248e-09 -2.54204400e-15] [ 3.33044822e-15 7.79046208e-17 3.98800043e-18 -6.48935358e-13 -2.54204400e-15 7.06463634e-09]] LogLike[0044]=-3108.050521 sigma_a=0.368716 R: [[24.71294122 0.595027 ] [ 0.595027 25.83866081]] m0: [ 3.55558904 -1.80940422 0.12136609 -0.32098756 0.709952 -0.6800981 ] V0: [[ 2.14930799e-06 -8.40368322e-12 -2.58191749e-13 4.14058422e-12 8.63548264e-15 3.41562790e-15] [-8.40368322e-12 3.55433810e-08 -6.92268821e-15 5.88826594e-14 1.68975091e-16 7.99550067e-17] [-2.58191749e-13 -6.92268821e-15 3.54065867e-09 2.21603857e-15 7.60771328e-18 4.09607155e-18] [ 4.14058422e-12 5.88826594e-14 2.21603857e-15 2.78217185e-06 -2.04406530e-12 -6.58482907e-13] [ 8.63548264e-15 1.68975091e-16 7.60771328e-18 -2.04406530e-12 6.74805241e-09 -2.59355121e-15] [ 3.41562790e-15 7.99550067e-17 4.09607155e-18 -6.58482907e-13 -2.59355121e-15 7.06463628e-09]] LogLike[0045]=-3107.959121 sigma_a=0.367270 R: [[24.71330731 0.59457846] [ 0.59457846 25.83880195]] m0: [ 3.55558858 -1.80940424 0.12136609 -0.32098737 0.709952 -0.6800981 ] V0: [[ 2.14930404e-06 -8.47582617e-12 -2.61984287e-13 4.23811058e-12 8.84494688e-15 3.50108578e-15] [-8.47582617e-12 3.55433791e-08 -7.06133946e-15 6.03109361e-14 1.73197687e-16 8.20148046e-17] [-2.61984287e-13 -7.06133946e-15 3.54065865e-09 2.27148380e-15 7.80370387e-18 4.20478633e-18] [ 4.23811058e-12 6.03109361e-14 2.27148380e-15 2.78216548e-06 -2.06128085e-12 -6.68068696e-13] [ 8.84494688e-15 1.73197687e-16 7.80370387e-18 -2.06128085e-12 6.74805234e-09 -2.64533185e-15] [ 3.50108578e-15 8.20148046e-17 4.20478633e-18 -6.68068696e-13 -2.64533185e-15 7.06463622e-09]] LogLike[0046]=-3107.867731 sigma_a=0.365828 R: [[24.71367305 0.59412579] [ 0.59412579 25.83894563]] m0: [ 3.55558811 -1.80940425 0.12136609 -0.32098717 0.709952 -0.6800981 ] V0: [[ 2.14930009e-06 -8.54816152e-12 -2.65792160e-13 4.33569544e-12 9.05481173e-15 3.58682667e-15] [-8.54816152e-12 3.55433771e-08 -7.20073411e-15 6.17419446e-14 1.77434041e-16 8.40841798e-17] [-2.65792160e-13 -7.20073411e-15 3.54065863e-09 2.32711267e-15 8.00060578e-18 4.31415659e-18] [ 4.33569544e-12 6.17419446e-14 2.32711267e-15 2.78215909e-06 -2.07854239e-12 -6.77693276e-13] [ 9.05481173e-15 1.77434042e-16 8.00060578e-18 -2.07854239e-12 6.74805227e-09 -2.69739022e-15] [ 3.58682667e-15 8.40841798e-17 4.31415659e-18 -6.77693276e-13 -2.69739022e-15 7.06463616e-09]] LogLike[0047]=-3107.777417 sigma_a=0.364406 R: [[24.71403558 0.5936725 ] [ 0.5936725 25.8390908 ]] m0: [ 3.55558765 -1.80940427 0.12136609 -0.32098698 0.709952 -0.6800981 ] V0: [[ 2.14929613e-06 -8.62069011e-12 -2.69615458e-13 4.43333834e-12 9.26507733e-15 3.67285144e-15] [-8.62069011e-12 3.55433752e-08 -7.34087747e-15 6.31756860e-14 1.81684195e-16 8.61631806e-17] [-2.69615458e-13 -7.34087747e-15 3.54065862e-09 2.38292577e-15 8.19842361e-18 4.42418671e-18] [ 4.43333834e-12 6.31756860e-14 2.38292577e-15 2.78215270e-06 -2.09585012e-12 -6.87356869e-13] [ 9.26507733e-15 1.81684196e-16 8.19842361e-18 -2.09585012e-12 6.74805220e-09 -2.74972830e-15] [ 3.67285144e-15 8.61631806e-17 4.42418671e-18 -6.87356869e-13 -2.74972830e-15 7.06463610e-09]] LogLike[0048]=-3107.687910 sigma_a=0.362999 R: [[24.71439078 0.59322382] [ 0.59322382 25.83923583]] m0: [ 3.55558718 -1.80940429 0.12136609 -0.32098678 0.70995201 -0.6800981 ] V0: [[ 2.14929216e-06 -8.69341053e-12 -2.73454088e-13 4.53103780e-12 9.47573846e-15 3.75915739e-15] [-8.69341053e-12 3.55433732e-08 -7.48176604e-15 6.46121246e-14 1.85948016e-16 8.82517354e-17] [-2.73454088e-13 -7.48176604e-15 3.54065860e-09 2.43892132e-15 8.39715056e-18 4.53487302e-18] [ 4.53103780e-12 6.46121246e-14 2.43892132e-15 2.78214630e-06 -2.11320372e-12 -6.97059242e-13] [ 9.47573845e-15 1.85948017e-16 8.39715056e-18 -2.11320372e-12 6.74805213e-09 -2.80234478e-15] [ 3.75915739e-15 8.82517354e-17 4.53487302e-18 -6.97059242e-13 -2.80234478e-15 7.06463604e-09]] LogLike[0049]=-3107.599682 sigma_a=0.361615 R: [[24.71473963 0.59277865] [ 0.59277865 25.83938104]] m0: [ 3.55558672 -1.8094043 0.12136609 -0.32098659 0.70995201 -0.6800981 ] V0: [[ 2.14928820e-06 -8.76632191e-12 -2.77308001e-13 4.62879363e-12 9.68679339e-15 3.84574355e-15] [-8.76632191e-12 3.55433712e-08 -7.62339843e-15 6.60512488e-14 1.90225458e-16 9.03498231e-17] [-2.77308001e-13 -7.62339843e-15 3.54065859e-09 2.49509871e-15 8.59678462e-18 4.64621489e-18] [ 4.62879363e-12 6.60512488e-14 2.49509871e-15 2.78213989e-06 -2.13060297e-12 -7.06800271e-13] [ 9.68679339e-15 1.90225458e-16 8.59678462e-18 -2.13060297e-12 6.74805206e-09 -2.85523913e-15] [ 3.84574355e-15 9.03498231e-17 4.64621489e-18 -7.06800271e-13 -2.85523913e-15 7.06463597e-09]] LogLike[0050]=-3107.510335 sigma_a=0.360216 R: [[24.7150805 0.59233924] [ 0.59233924 25.83952572]] m0: [ 3.55558626 -1.80940432 0.12136609 -0.3209864 0.70995201 -0.6800981 ] V0: [[ 2.14928422e-06 -8.83942236e-12 -2.81177067e-13 4.72660472e-12 9.89823706e-15 3.93260695e-15] [-8.83942236e-12 3.55433692e-08 -7.76576920e-15 6.74930238e-14 1.94516374e-16 9.24573587e-17] [-2.81177067e-13 -7.76576920e-15 3.54065857e-09 2.55145600e-15 8.79731769e-18 4.75820746e-18] [ 4.72660472e-12 6.74930238e-14 2.55145600e-15 2.78213347e-06 -2.14804742e-12 -7.16579624e-13] [ 9.89823706e-15 1.94516374e-16 8.79731769e-18 -2.14804742e-12 6.74805199e-09 -2.90840933e-15] [ 3.93260695e-15 9.24573587e-17 4.75820746e-18 -7.16579624e-13 -2.90840933e-15 7.06463591e-09]] LogLike[0051]=-3107.422297 sigma_a=0.358840 R: [[24.71542226 0.59189411] [ 0.59189411 25.83967364]] m0: [ 3.55558579 -1.80940433 0.12136609 -0.3209862 0.70995201 -0.6800981 ] V0: [[ 2.14928024e-06 -8.91271517e-12 -2.85061567e-13 4.82447396e-12 1.01100802e-14 4.01975432e-15] [-8.91271517e-12 3.55433672e-08 -7.90889308e-15 6.89375233e-14 1.98821094e-16 9.45745663e-17] [-2.85061567e-13 -7.90889308e-15 3.54065856e-09 2.60799757e-15 8.99877111e-18 4.87086640e-18] [ 4.82447396e-12 6.89375232e-14 2.60799757e-15 2.78212704e-06 -2.16553784e-12 -7.26398013e-13] [ 1.01100802e-14 1.98821094e-16 8.99877111e-18 -2.16553784e-12 6.74805192e-09 -2.96186086e-15] [ 4.01975432e-15 9.45745663e-17 4.87086640e-18 -7.26398013e-13 -2.96186086e-15 7.06463585e-09]] LogLike[0052]=-3107.335433 sigma_a=0.357486 R: [[24.71575627 0.5914546 ] [ 0.5914546 25.83982112]] m0: [ 3.55558533 -1.80940435 0.12136609 -0.32098601 0.70995201 -0.6800981 ] V0: [[ 2.14927626e-06 -8.98619835e-12 -2.88961364e-13 4.92239863e-12 1.03223142e-14 4.10718116e-15] [-8.98619835e-12 3.55433652e-08 -8.05276427e-15 7.03846878e-14 2.03139396e-16 9.67013224e-17] [-2.88961364e-13 -8.05276427e-15 3.54065854e-09 2.66472049e-15 9.20113312e-18 4.98418474e-18] [ 4.92239863e-12 7.03846878e-14 2.66472049e-15 2.78212061e-06 -2.18307377e-12 -7.36255088e-13] [ 1.03223142e-14 2.03139396e-16 9.20113312e-18 -2.18307377e-12 6.74805185e-09 -3.01559156e-15] [ 4.10718116e-15 9.67013224e-17 4.98418474e-18 -7.36255088e-13 -3.01559156e-15 7.06463579e-09]] LogLike[0053]=-3107.247131 sigma_a=0.356112 R: [[24.71608284 0.59102045] [ 0.59102045 25.83996821]] m0: [ 3.55558487 -1.80940436 0.12136609 -0.32098582 0.70995201 -0.68009809] V0: [[ 2.14927227e-06 -9.05987019e-12 -2.92876339e-13 5.02037815e-12 1.05349353e-14 4.19488512e-15] [-9.05987019e-12 3.55433632e-08 -8.19737799e-15 7.18344919e-14 2.07471168e-16 9.88375596e-17] [-2.92876339e-13 -8.19737799e-15 3.54065852e-09 2.72162325e-15 9.40439730e-18 5.09815870e-18] [ 5.02037815e-12 7.18344919e-14 2.72162325e-15 2.78211416e-06 -2.20065478e-12 -7.46150550e-13] [ 1.05349353e-14 2.07471168e-16 9.40439730e-18 -2.20065478e-12 6.74805178e-09 -3.06959965e-15] [ 4.19488512e-15 9.88375596e-17 5.09815870e-18 -7.46150550e-13 -3.06959965e-15 7.06463572e-09]] LogLike[0054]=-3107.160351 sigma_a=0.354764 R: [[24.71641146 0.59057902] [ 0.59057902 25.84011921]] m0: [ 3.55558441 -1.80940438 0.12136609 -0.32098563 0.70995201 -0.68009809] V0: [[ 2.14926827e-06 -9.13373469e-12 -2.96806835e-13 5.11841580e-12 1.07479561e-14 4.28287424e-15] [-9.13373470e-12 3.55433612e-08 -8.34275190e-15 7.32870224e-14 2.11816799e-16 1.00983545e-16] [-2.96806835e-13 -8.34275190e-15 3.54065851e-09 2.77871104e-15 9.60858904e-18 5.21280682e-18] [ 5.11841580e-12 7.32870224e-14 2.77871104e-15 2.78210771e-06 -2.21828185e-12 -7.56085263e-13] [ 1.07479561e-14 2.11816799e-16 9.60858904e-18 -2.21828185e-12 6.74805171e-09 -3.12389171e-15] [ 4.28287424e-15 1.00983545e-16 5.21280682e-18 -7.56085263e-13 -3.12389171e-15 7.06463566e-09]] LogLike[0055]=-3107.073819 sigma_a=0.353422 R: [[24.7167318 0.59014422] [ 0.59014422 25.84026945]] m0: [ 3.55558395 -1.8094044 0.12136609 -0.32098543 0.70995202 -0.68009809] V0: [[ 2.14926427e-06 -9.20778937e-12 -3.00752671e-13 5.21650829e-12 1.09613660e-14 4.37114282e-15] [-9.20778937e-12 3.55433592e-08 -8.48887815e-15 7.47422062e-14 2.16176012e-16 1.03139117e-16] [-3.00752671e-13 -8.48887815e-15 3.54065849e-09 2.83598019e-15 9.81369312e-18 5.32811978e-18] [ 5.21650829e-12 7.47422062e-14 2.83598019e-15 2.78210125e-06 -2.23595436e-12 -7.66058770e-13] [ 1.09613660e-14 2.16176012e-16 9.81369312e-18 -2.23595436e-12 6.74805164e-09 -3.17846481e-15] [ 4.37114282e-15 1.03139117e-16 5.32811978e-18 -7.66058770e-13 -3.17846481e-15 7.06463559e-09]] LogLike[0056]=-3106.986498 sigma_a=0.352071 R: [[24.71704815 0.58971035] [ 0.58971035 25.84042087]] m0: [ 3.55558349 -1.80940441 0.12136609 -0.32098524 0.70995202 -0.68009809] V0: [[ 2.14926027e-06 -9.28203452e-12 -3.04713892e-13 5.31465658e-12 1.11751675e-14 4.45969235e-15] [-9.28203452e-12 3.55433571e-08 -8.63575990e-15 7.62000602e-14 2.20548878e-16 1.05304333e-16] [-3.04713892e-13 -8.63575990e-15 3.54065848e-09 2.89343165e-15 1.00197147e-17 5.44410191e-18] [ 5.31465658e-12 7.62000602e-14 2.89343165e-15 2.78209478e-06 -2.25367239e-12 -7.76071184e-13] [ 1.11751675e-14 2.20548879e-16 1.00197147e-17 -2.25367239e-12 6.74805157e-09 -3.23332013e-15] [ 4.45969235e-15 1.05304333e-16 5.44410191e-18 -7.76071184e-13 -3.23332013e-15 7.06463553e-09]] LogLike[0057]=-3106.898204 sigma_a=0.350707 R: [[24.71736428 0.58927219] [ 0.58927219 25.84057534]] m0: [ 3.55558303 -1.80940443 0.12136609 -0.32098505 0.70995202 -0.68009809] V0: [[ 2.14925626e-06 -9.35647276e-12 -3.08690728e-13 5.41286225e-12 1.13893676e-14 4.54852767e-15] [-9.35647277e-12 3.55433551e-08 -8.78340941e-15 7.76606326e-14 2.24935635e-16 1.07479361e-16] [-3.08690728e-13 -8.78340941e-15 3.54065846e-09 2.95106857e-15 1.02266701e-17 5.56076558e-18] [ 5.41286225e-12 7.76606326e-14 2.95106857e-15 2.78208830e-06 -2.27143656e-12 -7.86123085e-13] [ 1.13893676e-14 2.24935635e-16 1.02266701e-17 -2.27143656e-12 6.74805149e-09 -3.28846225e-15] [ 4.54852767e-15 1.07479361e-16 5.56076558e-18 -7.86123085e-13 -3.28846225e-15 7.06463546e-09]] LogLike[0058]=-3106.809777 sigma_a=0.349344 R: [[24.71768088 0.58882866] [ 0.58882866 25.84073333]] m0: [ 3.55558257 -1.80940444 0.12136609 -0.32098486 0.70995202 -0.68009809] V0: [[ 2.14925224e-06 -9.43110714e-12 -3.12683447e-13 5.51112628e-12 1.16039728e-14 4.63765362e-15] [-9.43110714e-12 3.55433531e-08 -8.93184083e-15 7.91239671e-14 2.29336515e-16 1.09664379e-16] [-3.12683447e-13 -8.93184083e-15 3.54065844e-09 3.00889409e-15 1.04345761e-17 5.67812399e-18] [ 5.51112628e-12 7.91239671e-14 3.00889409e-15 2.78208181e-06 -2.28924760e-12 -7.96215150e-13] [ 1.16039728e-14 2.29336515e-16 1.04345761e-17 -2.28924759e-12 6.74805142e-09 -3.34389643e-15] [ 4.63765362e-15 1.09664379e-16 5.67812399e-18 -7.96215150e-13 -3.34389643e-15 7.06463540e-09]] LogLike[0059]=-3106.722993 sigma_a=0.348009 R: [[24.71799501 0.58838379] [ 0.58838379 25.84089351]] m0: [ 3.55558211 -1.80940446 0.12136609 -0.32098467 0.70995202 -0.68009809] V0: [[ 2.14924822e-06 -9.50593884e-12 -3.16692166e-13 5.60944818e-12 1.18189835e-14 4.72707150e-15] [-9.50593885e-12 3.55433510e-08 -9.08106099e-15 8.05900675e-14 2.33751582e-16 1.11859452e-16] [-3.16692166e-13 -9.08106099e-15 3.54065843e-09 3.06690904e-15 1.06434388e-17 5.79618281e-18] [ 5.60944818e-12 8.05900675e-14 3.06690904e-15 2.78207532e-06 -2.30710578e-12 -8.06347674e-13] [ 1.18189835e-14 2.33751582e-16 1.06434388e-17 -2.30710578e-12 6.74805135e-09 -3.39962525e-15] [ 4.72707150e-15 1.11859452e-16 5.79618281e-18 -8.06347674e-13 -3.39962525e-15 7.06463533e-09]] LogLike[0060]=-3106.635993 sigma_a=0.346674 R: [[24.71830055 0.58794639] [ 0.58794639 25.8410527 ]] m0: [ 3.55558165 -1.80940448 0.12136609 -0.32098448 0.70995202 -0.68009809] V0: [[ 2.14924419e-06 -9.58096507e-12 -3.20716680e-13 5.70782545e-12 1.20343905e-14 4.81677593e-15] [-9.58096507e-12 3.55433489e-08 -9.23106077e-15 8.20588696e-14 2.38180573e-16 1.14064422e-16] [-3.20716680e-13 -9.23106077e-15 3.54065841e-09 3.12510994e-15 1.08532433e-17 5.91493254e-18] [ 5.70782545e-12 8.20588696e-14 3.12510994e-15 2.78206881e-06 -2.32501044e-12 -8.16520137e-13] [ 1.20343905e-14 2.38180573e-16 1.08532433e-17 -2.32501044e-12 6.74805128e-09 -3.45564528e-15] [ 4.81677593e-15 1.14064422e-16 5.91493254e-18 -8.16520137e-13 -3.45564528e-15 7.06463526e-09]] LogLike[0061]=-3106.551364 sigma_a=0.345377 R: [[24.71860367 0.58750767] [ 0.58750767 25.84121409]] m0: [ 3.5555812 -1.80940449 0.12136609 -0.32098429 0.70995202 -0.68009809] V0: [[ 2.14924016e-06 -9.65618721e-12 -3.24757122e-13 5.80625993e-12 1.22501994e-14 4.90677052e-15] [-9.65618721e-12 3.55433469e-08 -9.38184774e-15 8.35304136e-14 2.42623663e-16 1.16279412e-16] [-3.24757122e-13 -9.38184774e-15 3.54065839e-09 3.18349914e-15 1.10640012e-17 6.03438215e-18] [ 5.80625993e-12 8.35304136e-14 3.18349914e-15 2.78206230e-06 -2.34296191e-12 -8.26732875e-13] [ 1.22501994e-14 2.42623663e-16 1.10640012e-17 -2.34296191e-12 6.74805120e-09 -3.51195935e-15] [ 4.90677052e-15 1.16279412e-16 6.03438215e-18 -8.26732875e-13 -3.51195935e-15 7.06463520e-09]] LogLike[0062]=-3106.465012 sigma_a=0.344056 R: [[24.71889601 0.58708001] [ 0.58708001 25.84137312]] m0: [ 3.55558074 -1.80940451 0.12136609 -0.3209841 0.70995203 -0.68009809] V0: [[ 2.14923612e-06 -9.73160075e-12 -3.28813146e-13 5.90474799e-12 1.24663962e-14 4.99704677e-15] [-9.73160075e-12 3.55433448e-08 -9.53340584e-15 8.50046017e-14 2.47080439e-16 1.18504162e-16] [-3.28813146e-13 -9.53340584e-15 3.54065837e-09 3.24207111e-15 1.12756878e-17 6.15451515e-18] [ 5.90474799e-12 8.50046017e-14 3.24207111e-15 2.78205578e-06 -2.36095911e-12 -8.36985014e-13] [ 1.24663962e-14 2.47080439e-16 1.12756878e-17 -2.36095911e-12 6.74805113e-09 -3.56856146e-15] [ 4.99704677e-15 1.18504162e-16 6.15451515e-18 -8.36985014e-13 -3.56856146e-15 7.06463513e-09]] LogLike[0063]=-3106.380453 sigma_a=0.342765 R: [[24.71919092 0.58664379] [ 0.58664379 25.84153708]] m0: [ 3.55558028 -1.80940452 0.12136609 -0.32098391 0.70995203 -0.68009809] V0: [[ 2.14923208e-06 -9.80721051e-12 -3.32885164e-13 6.00329439e-12 1.26829978e-14 5.08761510e-15] [-9.80721051e-12 3.55433427e-08 -9.68575637e-15 8.64815508e-14 2.51551408e-16 1.20739012e-16] [-3.32885164e-13 -9.68575637e-15 3.54065836e-09 3.30083262e-15 1.14883356e-17 6.27535510e-18] [ 6.00329439e-12 8.64815508e-14 3.30083262e-15 2.78204925e-06 -2.37900318e-12 -8.47277592e-13] [ 1.26829978e-14 2.51551408e-16 1.14883356e-17 -2.37900318e-12 6.74805106e-09 -3.62545955e-15] [ 5.08761510e-15 1.20739012e-16 6.27535510e-18 -8.47277592e-13 -3.62545955e-15 7.06463506e-09]] LogLike[0064]=-3106.295729 sigma_a=0.341473 R: [[24.7194773 0.58621559] [ 0.58621559 25.84169983]] m0: [ 3.55557983 -1.80940454 0.12136609 -0.32098372 0.70995203 -0.68009809] V0: [[ 2.14922803e-06 -9.88301325e-12 -3.36972933e-13 6.10189513e-12 1.28999909e-14 5.17846822e-15] [-9.88301325e-12 3.55433406e-08 -9.83888836e-15 8.79611700e-14 2.56036215e-16 1.22983752e-16] [-3.36972933e-13 -9.83888836e-15 3.54065834e-09 3.35977894e-15 1.17019244e-17 6.39688910e-18] [ 6.10189514e-12 8.79611699e-14 3.35977894e-15 2.78204271e-06 -2.39709335e-12 -8.57609995e-13] [ 1.28999909e-14 2.56036214e-16 1.17019244e-17 -2.39709335e-12 6.74805098e-09 -3.68264954e-15] [ 5.17846822e-15 1.22983752e-16 6.39688910e-18 -8.57609995e-13 -3.68264954e-15 7.06463499e-09]] LogLike[0065]=-3106.211631 sigma_a=0.340194 R: [[24.71976121 0.58578637] [ 0.58578637 25.84186475]] m0: [ 3.55557937 -1.80940455 0.12136609 -0.32098353 0.70995203 -0.68009809] V0: [[ 2.14922398e-06 -9.95901023e-12 -3.41076576e-13 6.20055208e-12 1.31173813e-14 5.26960961e-15] [-9.95901023e-12 3.55433385e-08 -9.99280887e-15 8.94434985e-14 2.60535028e-16 1.25238498e-16] [-3.41076576e-13 -9.99280887e-15 3.54065832e-09 3.41891233e-15 1.19164654e-17 6.51912581e-18] [ 6.20055208e-12 8.94434985e-14 3.41891233e-15 2.78203616e-06 -2.41522992e-12 -8.67982533e-13] [ 1.31173813e-14 2.60535028e-16 1.19164654e-17 -2.41522992e-12 6.74805091e-09 -3.74013405e-15] [ 5.26960961e-15 1.25238498e-16 6.51912581e-18 -8.67982533e-13 -3.74013405e-15 7.06463493e-09]] LogLike[0066]=-3106.126879 sigma_a=0.338907 R: [[24.72004035 0.58535971] [ 0.58535971 25.84203052]] m0: [ 3.55557892 -1.80940457 0.12136609 -0.32098334 0.70995203 -0.68009809] V0: [[ 2.14921992e-06 -1.00352009e-11 -3.45196067e-13 6.29926431e-12 1.33351662e-14 5.36103800e-15] [-1.00352009e-11 3.55433364e-08 -1.01475176e-14 9.09285169e-14 2.65047785e-16 1.27503227e-16] [-3.45196067e-13 -1.01475176e-14 3.54065831e-09 3.47823195e-15 1.21319562e-17 6.64206459e-18] [ 6.29926431e-12 9.09285169e-14 3.47823195e-15 2.78202961e-06 -2.43341275e-12 -8.78395138e-13] [ 1.33351662e-14 2.65047785e-16 1.21319562e-17 -2.43341275e-12 6.74805083e-09 -3.79791296e-15] [ 5.36103800e-15 1.27503227e-16 6.64206459e-18 -8.78395138e-13 -3.79791296e-15 7.06463486e-09]] LogLike[0067]=-3106.044358 sigma_a=0.337657 R: [[24.72031873 0.58492943] [ 0.58492943 25.84219957]] m0: [ 3.55557846 -1.80940458 0.12136609 -0.32098315 0.70995203 -0.68009809] V0: [[ 2.14921586e-06 -1.01115876e-11 -3.49331622e-13 6.39803350e-12 1.35533525e-14 5.45275811e-15] [-1.01115876e-11 3.55433342e-08 -1.03030263e-14 9.24162730e-14 2.69574717e-16 1.29778105e-16] [-3.49331622e-13 -1.03030263e-14 3.54065829e-09 3.53774089e-15 1.23484128e-17 6.76571772e-18] [ 6.39803350e-12 9.24162730e-14 3.53774089e-15 2.78202304e-06 -2.45164240e-12 -8.88848355e-13] [ 1.35533525e-14 2.69574717e-16 1.23484128e-17 -2.45164240e-12 6.74805076e-09 -3.85599066e-15] [ 5.45275811e-15 1.29778105e-16 6.76571772e-18 -8.88848355e-13 -3.85599066e-15 7.06463479e-09]] LogLike[0068]=-3105.962106 sigma_a=0.336412 R: [[24.72058741 0.58450955] [ 0.58450955 25.84236642]] m0: [ 3.55557801 -1.8094046 0.12136609 -0.32098296 0.70995204 -0.68009809] V0: [[ 2.14921179e-06 -1.01881660e-11 -3.53482907e-13 6.49685580e-12 1.37719257e-14 5.54476137e-15] [-1.01881660e-11 3.55433321e-08 -1.04593193e-14 9.39066670e-14 2.74115405e-16 1.32062869e-16] [-3.53482907e-13 -1.04593193e-14 3.54065827e-09 3.59743357e-15 1.25658102e-17 6.89006860e-18] [ 6.49685580e-12 9.39066670e-14 3.59743357e-15 2.78201647e-06 -2.46991785e-12 -8.99341342e-13] [ 1.37719257e-14 2.74115404e-16 1.25658102e-17 -2.46991785e-12 6.74805068e-09 -3.91436133e-15] [ 5.54476137e-15 1.32062869e-16 6.89006860e-18 -8.99341342e-13 -3.91436133e-15 7.06463472e-09]] LogLike[0069]=-3105.879007 sigma_a=0.335157 R: [[24.72085236 0.58409086] [ 0.58409086 25.84253464]] m0: [ 3.55557756 -1.80940461 0.12136609 -0.32098277 0.70995204 -0.68009809] V0: [[ 2.14920771e-06 -1.02649364e-11 -3.57649961e-13 6.59573278e-12 1.39908894e-14 5.63704979e-15] [-1.02649364e-11 3.55433300e-08 -1.06163996e-14 9.53997248e-14 2.78669947e-16 1.34357588e-16] [-3.57649961e-13 -1.06163996e-14 3.54065825e-09 3.65731130e-15 1.27841548e-17 7.01512224e-18] [ 6.59573279e-12 9.53997248e-14 3.65731130e-15 2.78200989e-06 -2.48823914e-12 -9.09874194e-13] [ 1.39908894e-14 2.78669947e-16 1.27841548e-17 -2.48823914e-12 6.74805061e-09 -3.97302602e-15] [ 5.63704979e-15 1.34357588e-16 7.01512224e-18 -9.09874194e-13 -3.97302602e-15 7.06463465e-09]] LogLike[0070]=-3105.797419 sigma_a=0.333927 R: [[24.72111725 0.58366756] [ 0.58366756 25.84270664]] m0: [ 3.55557711 -1.80940463 0.12136609 -0.32098258 0.70995204 -0.68009809] V0: [[ 2.14920363e-06 -1.03419016e-11 -3.61833038e-13 6.69466622e-12 1.42102516e-14 5.72962874e-15] [-1.03419016e-11 3.55433278e-08 -1.07742809e-14 9.68954997e-14 2.83238605e-16 1.36662451e-16] [-3.61833038e-13 -1.07742809e-14 3.54065823e-09 3.71737756e-15 1.30034646e-17 7.14089260e-18] [ 6.69466622e-12 9.68954997e-14 3.71737756e-15 2.78200330e-06 -2.50660696e-12 -9.20447553e-13] [ 1.42102516e-14 2.83238604e-16 1.30034646e-17 -2.50660696e-12 6.74805053e-09 -4.03198986e-15] [ 5.72962874e-15 1.36662451e-16 7.14089260e-18 -9.20447553e-13 -4.03198986e-15 7.06463457e-09]] LogLike[0071]=-3105.715596 sigma_a=0.332696 R: [[24.72137496 0.58325113] [ 0.58325113 25.84287781]] m0: [ 3.55557665 -1.80940465 0.12136608 -0.3209824 0.70995204 -0.68009809] V0: [[ 2.14919955e-06 -1.04190590e-11 -3.66031936e-13 6.79365316e-12 1.44300019e-14 5.82249243e-15] [-1.04190590e-11 3.55433257e-08 -1.09329539e-14 9.83939212e-14 2.87821095e-16 1.38977288e-16] [-3.66031936e-13 -1.09329539e-14 3.54065822e-09 3.77762861e-15 1.32237237e-17 7.26736939e-18] [ 6.79365316e-12 9.83939212e-14 3.77762861e-15 2.78199670e-06 -2.52502065e-12 -9.31060907e-13] [ 1.44300019e-14 2.87821095e-16 1.32237237e-17 -2.52502065e-12 6.74805046e-09 -4.09124943e-15] [ 5.82249243e-15 1.38977288e-16 7.26736939e-18 -9.31060907e-13 -4.09124943e-15 7.06463450e-09]] LogLike[0072]=-3105.634501 sigma_a=0.331478 R: [[24.72163063 0.58283329] [ 0.58283329 25.8430515 ]] m0: [ 3.5555762 -1.80940466 0.12136608 -0.32098221 0.70995204 -0.68009809] V0: [[ 2.14919546e-06 -1.04964099e-11 -3.70246793e-13 6.89269539e-12 1.46501462e-14 5.91564452e-15] [-1.04964099e-11 3.55433235e-08 -1.10924266e-14 9.98950294e-14 2.92417597e-16 1.41302227e-16] [-3.70246793e-13 -1.10924266e-14 3.54065820e-09 3.83806680e-15 1.34449438e-17 7.39456187e-18] [ 6.89269539e-12 9.98950294e-14 3.83806680e-15 2.78199010e-06 -2.54348055e-12 -9.41714601e-13] [ 1.46501462e-14 2.92417597e-16 1.34449438e-17 -2.54348055e-12 6.74805038e-09 -4.15080766e-15] [ 5.91564452e-15 1.41302227e-16 7.39456187e-18 -9.41714601e-13 -4.15080766e-15 7.06463443e-09]] LogLike[0073]=-3105.552625 sigma_a=0.330250 R: [[24.72188157 0.58241854] [ 0.58241854 25.8432259 ]] m0: [ 3.55557575 -1.80940468 0.12136608 -0.32098202 0.70995204 -0.68009808] V0: [[ 2.14919136e-06 -1.05739534e-11 -3.74477555e-13 6.99179174e-12 1.48706806e-14 6.00908311e-15] [-1.05739534e-11 3.55433213e-08 -1.12526974e-14 1.01398798e-13 2.97028017e-16 1.43637220e-16] [-3.74477555e-13 -1.12526974e-14 3.54065818e-09 3.89869092e-15 1.36671207e-17 7.52246803e-18] [ 6.99179174e-12 1.01398798e-13 3.89869092e-15 2.78198348e-06 -2.56198646e-12 -9.52408502e-13] [ 1.48706806e-14 2.97028016e-16 1.36671207e-17 -2.56198646e-12 6.74805030e-09 -4.21066393e-15] [ 6.00908311e-15 1.43637220e-16 7.52246803e-18 -9.52408502e-13 -4.21066393e-15 7.06463436e-09]] LogLike[0074]=-3105.471170 sigma_a=0.329030 R: [[24.72213217 0.58199957] [ 0.58199957 25.84340411]] m0: [ 3.5555753 -1.80940469 0.12136608 -0.32098183 0.70995204 -0.68009808] V0: [[ 2.14918726e-06 -1.06516923e-11 -3.78724469e-13 7.09094419e-12 1.50916133e-14 6.10281366e-15] [-1.06516923e-11 3.55433192e-08 -1.14137794e-14 1.02905283e-13 3.01652620e-16 1.45982459e-16] [-3.78724469e-13 -1.14137794e-14 3.54065816e-09 3.95950449e-15 1.38902727e-17 7.65110187e-18] [ 7.09094420e-12 1.02905283e-13 3.95950449e-15 2.78197686e-06 -2.58053902e-12 -9.63143231e-13] [ 1.50916133e-14 3.01652620e-16 1.38902727e-17 -2.58053901e-12 6.74805023e-09 -4.27082322e-15] [ 6.10281366e-15 1.45982459e-16 7.65110187e-18 -9.63143231e-13 -4.27082322e-15 7.06463429e-09]] LogLike[0075]=-3105.391969 sigma_a=0.327847 R: [[24.72237904 0.58158209] [ 0.58158209 25.84358377]] m0: [ 3.55557485 -1.80940471 0.12136608 -0.32098165 0.70995205 -0.68009808] V0: [[ 2.14918316e-06 -1.07296265e-11 -3.82987544e-13 7.19015159e-12 1.53129414e-14 6.19683517e-15] [-1.07296265e-11 3.55433170e-08 -1.15756743e-14 1.04414465e-13 3.06291358e-16 1.48337933e-16] [-3.82987544e-13 -1.15756743e-14 3.54065814e-09 4.02050689e-15 1.41143985e-17 7.78046386e-18] [ 7.19015159e-12 1.04414465e-13 4.02050689e-15 2.78197023e-06 -2.59913819e-12 -9.73918810e-13] [ 1.53129414e-14 3.06291358e-16 1.41143985e-17 -2.59913819e-12 6.74805015e-09 -4.33128607e-15] [ 6.19683517e-15 1.48337933e-16 7.78046386e-18 -9.73918810e-13 -4.33128607e-15 7.06463421e-09]] LogLike[0076]=-3105.312163 sigma_a=0.326656 R: [[24.7226168 0.58117541] [ 0.58117541 25.84376084]] m0: [ 3.55557441 -1.80940472 0.12136608 -0.32098146 0.70995205 -0.68009808] V0: [[ 2.14917905e-06 -1.08077513e-11 -3.87266421e-13 7.28941083e-12 1.55346518e-14 6.29113938e-15] [-1.08077513e-11 3.55433148e-08 -1.17383650e-14 1.05926253e-13 3.10943828e-16 1.50703380e-16] [-3.87266421e-13 -1.17383650e-14 3.54065812e-09 4.08169274e-15 1.43394732e-17 7.91053695e-18] [ 7.28941083e-12 1.05926253e-13 4.08169274e-15 2.78196359e-06 -2.61778288e-12 -9.84734331e-13] [ 1.55346518e-14 3.10943827e-16 1.43394732e-17 -2.61778288e-12 6.74805007e-09 -4.39204611e-15] [ 6.29113938e-15 1.50703380e-16 7.91053695e-18 -9.84734331e-13 -4.39204611e-15 7.06463414e-09]] LogLike[0077]=-3105.231533 sigma_a=0.325455 R: [[24.72285364 0.5807656 ] [ 0.5807656 25.84394131]] m0: [ 3.55557396 -1.80940474 0.12136608 -0.32098127 0.70995205 -0.68009808] V0: [[ 2.14917493e-06 -1.08860691e-11 -3.91561312e-13 7.38872498e-12 1.57567542e-14 6.38573227e-15] [-1.08860691e-11 3.55433126e-08 -1.19018631e-14 1.07440715e-13 3.15610320e-16 1.53078997e-16] [-3.91561312e-13 -1.19018631e-14 3.54065811e-09 4.14306592e-15 1.45655158e-17 8.04133522e-18] [ 7.38872498e-12 1.07440715e-13 4.14306592e-15 2.78195694e-06 -2.63647364e-12 -9.95590327e-13] [ 1.57567542e-14 3.15610320e-16 1.45655158e-17 -2.63647364e-12 6.74804999e-09 -4.45310767e-15] [ 6.38573227e-15 1.53078997e-16 8.04133522e-18 -9.95590327e-13 -4.45310767e-15 7.06463407e-09]] LogLike[0078]=-3105.152081 sigma_a=0.324274 R: [[24.72309039 0.58035114] [ 0.58035114 25.84412599]] m0: [ 3.55557351 -1.80940475 0.12136608 -0.32098108 0.70995205 -0.68009808] V0: [[ 2.14917081e-06 -1.09645828e-11 -3.95872474e-13 7.48809503e-12 1.59792550e-14 6.48061854e-15] [-1.09645828e-11 3.55433104e-08 -1.20661825e-14 1.08957893e-13 3.20291065e-16 1.55464962e-16] [-3.95872474e-13 -1.20661825e-14 3.54065809e-09 4.20462949e-15 1.47925431e-17 8.17287205e-18] [ 7.48809503e-12 1.08957893e-13 4.20462949e-15 2.78195028e-06 -2.65521116e-12 -1.00648745e-12] [ 1.59792550e-14 3.20291065e-16 1.47925431e-17 -2.65521116e-12 6.74804992e-09 -4.51447598e-15] [ 6.48061854e-15 1.55464962e-16 8.17287205e-18 -1.00648745e-12 -4.51447598e-15 7.06463399e-09]] LogLike[0079]=-3105.072973 sigma_a=0.323099 R: [[24.72332143 0.57994195] [ 0.57994195 25.84431048]] m0: [ 3.55557306 -1.80940477 0.12136608 -0.3209809 0.70995205 -0.68009808] V0: [[ 2.14916668e-06 -1.10432904e-11 -4.00199761e-13 7.58751851e-12 1.62021458e-14 6.57579365e-15] [-1.10432904e-11 3.55433081e-08 -1.22313169e-14 1.10477731e-13 3.24985840e-16 1.57861145e-16] [-4.00199761e-13 -1.22313169e-14 3.54065807e-09 4.26638050e-15 1.50205425e-17 8.30513979e-18] [ 7.58751851e-12 1.10477731e-13 4.26638050e-15 2.78194362e-06 -2.67399494e-12 -1.01742533e-12] [ 1.62021458e-14 3.24985840e-16 1.50205425e-17 -2.67399494e-12 6.74804984e-09 -4.57614865e-15] [ 6.57579365e-15 1.57861145e-16 8.30513979e-18 -1.01742533e-12 -4.57614865e-15 7.06463392e-09]] LogLike[0080]=-3104.994322 sigma_a=0.321934 R: [[24.72354897 0.5795342 ] [ 0.5795342 25.84449649]] m0: [ 3.55557262 -1.80940478 0.12136608 -0.32098071 0.70995205 -0.68009808] V0: [[ 2.14916255e-06 -1.11221918e-11 -4.04543195e-13 7.68699601e-12 1.64254278e-14 6.67125845e-15] [-1.11221918e-11 3.55433059e-08 -1.23972684e-14 1.12000237e-13 3.29694685e-16 1.60267580e-16] [-4.04543195e-13 -1.23972684e-14 3.54065805e-09 4.32831950e-15 1.52495176e-17 8.43814164e-18] [ 7.68699601e-12 1.12000237e-13 4.32831950e-15 2.78193694e-06 -2.69282500e-12 -1.02840401e-12] [ 1.64254278e-14 3.29694685e-16 1.52495176e-17 -2.69282500e-12 6.74804976e-09 -4.63812645e-15] [ 6.67125845e-15 1.60267580e-16 8.43814164e-18 -1.02840401e-12 -4.63812645e-15 7.06463384e-09]] LogLike[0081]=-3104.914622 sigma_a=0.320755 R: [[24.72377282 0.57912832] [ 0.57912832 25.84468384]] m0: [ 3.55557217 -1.8094048 0.12136608 -0.32098053 0.70995206 -0.68009808] V0: [[ 2.14915842e-06 -1.12012867e-11 -4.08902773e-13 7.78652727e-12 1.66491001e-14 6.76701261e-15] [-1.12012867e-11 3.55433037e-08 -1.25640379e-14 1.13525405e-13 3.34417586e-16 1.62684270e-16] [-4.08902773e-13 -1.25640379e-14 3.54065803e-09 4.39044628e-15 1.54794685e-17 8.57187872e-18] [ 7.78652727e-12 1.13525405e-13 4.39044628e-15 2.78193026e-06 -2.71170127e-12 -1.03942350e-12] [ 1.66491001e-14 3.34417585e-16 1.54794685e-17 -2.71170127e-12 6.74804968e-09 -4.70040971e-15] [ 6.76701261e-15 1.62684270e-16 8.57187872e-18 -1.03942350e-12 -4.70040971e-15 7.06463376e-09]] LogLike[0082]=-3104.837508 sigma_a=0.319616 R: [[24.72399708 0.5787168 ] [ 0.5787168 25.84487604]] m0: [ 3.55557173 -1.80940481 0.12136608 -0.32098034 0.70995206 -0.68009808] V0: [[ 2.14915427e-06 -1.12805788e-11 -4.13278804e-13 7.88611454e-12 1.68731724e-14 6.86306279e-15] [-1.12805788e-11 3.55433014e-08 -1.27316420e-14 1.15053301e-13 3.39154865e-16 1.65111451e-16] [-4.13278804e-13 -1.27316420e-14 3.54065801e-09 4.45276517e-15 1.57104177e-17 8.70636829e-18] [ 7.88611454e-12 1.15053301e-13 4.45276517e-15 2.78192357e-06 -2.73062457e-12 -1.05048457e-12] [ 1.68731724e-14 3.39154865e-16 1.57104177e-17 -2.73062456e-12 6.74804960e-09 -4.76300464e-15] [ 6.86306279e-15 1.65111451e-16 8.70636829e-18 -1.05048457e-12 -4.76300464e-15 7.06463369e-09]] LogLike[0083]=-3104.758503 sigma_a=0.318451 R: [[24.72421208 0.57831762] [ 0.57831762 25.84506473]] m0: [ 3.55557128 -1.80940483 0.12136608 -0.32098015 0.70995206 -0.68009808] V0: [[ 2.14915013e-06 -1.13600624e-11 -4.17670844e-13 7.98575287e-12 1.70976260e-14 6.95939768e-15] [-1.13600624e-11 3.55432992e-08 -1.29000591e-14 1.16583796e-13 3.43905971e-16 1.67548766e-16] [-4.17670844e-13 -1.29000591e-14 3.54065799e-09 4.51526881e-15 1.59423311e-17 8.84158701e-18] [ 7.98575287e-12 1.16583796e-13 4.51526881e-15 2.78191687e-06 -2.74959356e-12 -1.06158610e-12] [ 1.70976260e-14 3.43905971e-16 1.59423311e-17 -2.74959356e-12 6.74804952e-09 -4.82590320e-15] [ 6.95939768e-15 1.67548766e-16 8.84158701e-18 -1.06158610e-12 -4.82590320e-15 7.06463361e-09]] LogLike[0084]=-3104.680375 sigma_a=0.317300 R: [[24.72442957 0.57790888] [ 0.57790888 25.84526021]] m0: [ 3.55557084 -1.80940484 0.12136608 -0.32097997 0.70995206 -0.68009808] V0: [[ 2.14914598e-06 -1.14397430e-11 -4.22079380e-13 8.08544771e-12 1.73224807e-14 7.05602963e-15] [-1.14397430e-11 3.55432969e-08 -1.30693151e-14 1.18117027e-13 3.48671506e-16 1.69996627e-16] [-4.22079380e-13 -1.30693151e-14 3.54065797e-09 4.57796522e-15 1.61752481e-17 8.97756382e-18] [ 8.08544771e-12 1.18117027e-13 4.57796522e-15 2.78191017e-06 -2.76860959e-12 -1.07272931e-12] [ 1.73224807e-14 3.48671506e-16 1.61752481e-17 -2.76860959e-12 6.74804944e-09 -4.88911499e-15] [ 7.05602963e-15 1.69996627e-16 8.97756382e-18 -1.07272931e-12 -4.88911499e-15 7.06463353e-09]] LogLike[0085]=-3104.600087 sigma_a=0.316120 R: [[24.72464253 0.57750379] [ 0.57750379 25.84545629]] m0: [ 3.5555704 -1.80940486 0.12136608 -0.32097978 0.70995206 -0.68009808] V0: [[ 2.14914182e-06 -1.15196194e-11 -4.26504321e-13 8.18519619e-12 1.75477282e-14 7.15295451e-15] [-1.15196194e-11 3.55432947e-08 -1.32394062e-14 1.19652937e-13 3.53451268e-16 1.72454924e-16] [-4.26504321e-13 -1.32394062e-14 3.54065795e-09 4.64085173e-15 1.64091582e-17 9.11429272e-18] [ 8.18519619e-12 1.19652937e-13 4.64085173e-15 2.78190345e-06 -2.78767232e-12 -1.08391398e-12] [ 1.75477282e-14 3.53451268e-16 1.64091582e-17 -2.78767232e-12 6.74804936e-09 -4.95263865e-15] [ 7.15295451e-15 1.72454924e-16 9.11429272e-18 -1.08391398e-12 -4.95263865e-15 7.06463346e-09]] LogLike[0086]=-3104.521733 sigma_a=0.314970 R: [[24.72485867 0.57708749] [ 0.57708749 25.84566024]] m0: [ 3.55556995 -1.80940487 0.12136608 -0.3209796 0.70995206 -0.68009808] V0: [[ 2.14913766e-06 -1.15996979e-11 -4.30946220e-13 8.28500269e-12 1.77733871e-14 7.25018464e-15] [-1.15996979e-11 3.55432924e-08 -1.34103617e-14 1.21191653e-13 3.58245856e-16 1.74924081e-16] [-4.30946220e-13 -1.34103617e-14 3.54065793e-09 4.70393633e-15 1.66441017e-17 9.25180416e-18] [ 8.28500269e-12 1.21191653e-13 4.70393633e-15 2.78189673e-06 -2.80678329e-12 -1.09514150e-12] [ 1.77733871e-14 3.58245856e-16 1.66441017e-17 -2.80678328e-12 6.74804928e-09 -5.01648509e-15] [ 7.25018464e-15 1.74924081e-16 9.25180416e-18 -1.09514150e-12 -5.01648509e-15 7.06463338e-09]] LogLike[0087]=-3104.442397 sigma_a=0.313808 R: [[24.7250676 0.57668012] [ 0.57668012 25.8458623 ]] m0: [ 3.55556951 -1.80940489 0.12136608 -0.32097941 0.70995206 -0.68009808] V0: [[ 2.14913349e-06 -1.16799745e-11 -4.35404763e-13 8.38486232e-12 1.79994409e-14 7.34771062e-15] [-1.16799745e-11 3.55432901e-08 -1.35821667e-14 1.22733061e-13 3.63054811e-16 1.77403815e-16] [-4.35404763e-13 -1.35821667e-14 3.54065791e-09 4.76721292e-15 1.68800515e-17 9.39008015e-18] [ 8.38486232e-12 1.22733061e-13 4.76721292e-15 2.78189000e-06 -2.82594151e-12 -1.10641108e-12] [ 1.79994409e-14 3.63054811e-16 1.68800515e-17 -2.82594151e-12 6.74804920e-09 -5.08064873e-15] [ 7.34771062e-15 1.77403815e-16 9.39008015e-18 -1.10641108e-12 -5.08064873e-15 7.06463330e-09]] LogLike[0088]=-3104.364750 sigma_a=0.312672 R: [[24.72527649 0.57626759] [ 0.57626759 25.84606941]] m0: [ 3.55556907 -1.8094049 0.12136608 -0.32097923 0.70995207 -0.68009808] V0: [[ 2.14912932e-06 -1.17604526e-11 -4.39880257e-13 8.48477849e-12 1.82259019e-14 7.44554026e-15] [-1.17604526e-11 3.55432878e-08 -1.37548379e-14 1.24277246e-13 3.67878513e-16 1.79894390e-16] [-4.39880257e-13 -1.37548379e-14 3.54065789e-09 4.83068657e-15 1.71170331e-17 9.52913978e-18] [ 8.48477849e-12 1.24277246e-13 4.83068657e-15 2.78188326e-06 -2.84514782e-12 -1.11772349e-12] [ 1.82259019e-14 3.67878513e-16 1.71170331e-17 -2.84514782e-12 6.74804912e-09 -5.14513580e-15] [ 7.44554026e-15 1.79894390e-16 9.52913978e-18 -1.11772349e-12 -5.14513580e-15 7.06463322e-09]] LogLike[0089]=-3104.290096 sigma_a=0.311582 R: [[24.72547885 0.57586296] [ 0.57586296 25.84627508]] m0: [ 3.55556863 -1.80940492 0.12136608 -0.32097904 0.70995207 -0.68009808] V0: [[ 2.14912514e-06 -1.18411288e-11 -4.44372437e-13 8.58474775e-12 1.84527575e-14 7.54366626e-15] [-1.18411288e-11 3.55432855e-08 -1.39283628e-14 1.25824123e-13 3.72716607e-16 1.82395585e-16] [-4.44372437e-13 -1.39283628e-14 3.54065787e-09 4.89435254e-15 1.73550251e-17 9.66896891e-18] [ 8.58474775e-12 1.25824122e-13 4.89435254e-15 2.78187651e-06 -2.86440139e-12 -1.12907807e-12] [ 1.84527575e-14 3.72716607e-16 1.73550251e-17 -2.86440139e-12 6.74804904e-09 -5.20994165e-15] [ 7.54366626e-15 1.82395585e-16 9.66896891e-18 -1.12907807e-12 -5.20994165e-15 7.06463314e-09]] LogLike[0090]=-3104.214092 sigma_a=0.310474 R: [[24.72567137 0.57547325] [ 0.57547325 25.84647555]] m0: [ 3.55556819 -1.80940493 0.12136608 -0.32097886 0.70995207 -0.68009808] V0: [[ 2.14912095e-06 -1.19219963e-11 -4.48880750e-13 8.68476683e-12 1.86799909e-14 7.64207725e-15] [-1.19219963e-11 3.55432832e-08 -1.41027140e-14 1.27373575e-13 3.77568539e-16 1.84907018e-16] [-4.48880750e-13 -1.41027140e-14 3.54065785e-09 4.95820345e-15 1.75939914e-17 9.80954148e-18] [ 8.68476683e-12 1.27373575e-13 4.95820345e-15 2.78186975e-06 -2.88370059e-12 -1.14047340e-12] [ 1.86799909e-14 3.77568539e-16 1.75939914e-17 -2.88370059e-12 6.74804896e-09 -5.27505605e-15] [ 7.64207725e-15 1.84907018e-16 9.80954148e-18 -1.14047340e-12 -5.27505605e-15 7.06463306e-09]] LogLike[0091]=-3104.139673 sigma_a=0.309391 R: [[24.7258648 0.57507673] [ 0.57507673 25.84668192]] m0: [ 3.55556775 -1.80940495 0.12136608 -0.32097867 0.70995207 -0.68009808] V0: [[ 2.14911677e-06 -1.20030595e-11 -4.53405579e-13 8.78484081e-12 1.89076195e-14 7.74078380e-15] [-1.20030595e-11 3.55432809e-08 -1.42779123e-14 1.28925723e-13 3.82434826e-16 1.87429040e-16] [-4.53405579e-13 -1.42779123e-14 3.54065783e-09 5.02224617e-15 1.78339653e-17 9.95088214e-18] [ 8.78484081e-12 1.28925723e-13 5.02224617e-15 2.78186298e-06 -2.90304646e-12 -1.15191047e-12] [ 1.89076195e-14 3.82434825e-16 1.78339653e-17 -2.90304646e-12 6.74804887e-09 -5.34048674e-15] [ 7.74078380e-15 1.87429040e-16 9.95088214e-18 -1.15191047e-12 -5.34048674e-15 7.06463298e-09]] LogLike[0092]=-3104.063221 sigma_a=0.308279 R: [[24.72605232 0.57468759] [ 0.57468759 25.84688689]] m0: [ 3.55556731 -1.80940496 0.12136608 -0.32097849 0.70995207 -0.68009807] V0: [[ 2.14911257e-06 -1.20843150e-11 -4.57946671e-13 8.88496608e-12 1.91356306e-14 7.83977863e-15] [-1.20843150e-11 3.55432785e-08 -1.44539456e-14 1.30480479e-13 3.87315110e-16 1.89961428e-16] [-4.57946671e-13 -1.44539456e-14 3.54065781e-09 5.08647596e-15 1.80749256e-17 1.00929768e-17] [ 8.88496608e-12 1.30480479e-13 5.08647596e-15 2.78185621e-06 -2.92243821e-12 -1.16338863e-12] [ 1.91356306e-14 3.87315110e-16 1.80749256e-17 -2.92243821e-12 6.74804879e-09 -5.40622920e-15] [ 7.83977863e-15 1.89961428e-16 1.00929768e-17 -1.16338863e-12 -5.40622920e-15 7.06463290e-09]] LogLike[0093]=-3103.988639 sigma_a=0.307197 R: [[24.72624246 0.57428792] [ 0.57428792 25.84709991]] m0: [ 3.55556688 -1.80940498 0.12136608 -0.3209783 0.70995207 -0.68009807] V0: [[ 2.14910837e-06 -1.21657690e-11 -4.62504565e-13 8.98514753e-12 1.93640438e-14 7.93907438e-15] [-1.21657690e-11 3.55432762e-08 -1.46308426e-14 1.32037977e-13 3.92210009e-16 1.92504617e-16] [-4.62504565e-13 -1.46308426e-14 3.54065779e-09 5.15090104e-15 1.83169137e-17 1.02358565e-17] [ 8.98514753e-12 1.32037977e-13 5.15090104e-15 2.78184943e-06 -2.94187732e-12 -1.17490924e-12] [ 1.93640438e-14 3.92210009e-16 1.83169137e-17 -2.94187731e-12 6.74804871e-09 -5.47229415e-15] [ 7.93907438e-15 1.92504617e-16 1.02358565e-17 -1.17490924e-12 -5.47229415e-15 7.06463282e-09]] LogLike[0094]=-3103.912993 sigma_a=0.306101 R: [[24.72642614 0.57389697] [ 0.57389697 25.84731082]] m0: [ 3.55556644 -1.80940499 0.12136608 -0.32097812 0.70995207 -0.68009807] V0: [[ 2.14910417e-06 -1.22474176e-11 -4.67078941e-13 9.08538042e-12 1.95928427e-14 8.03866169e-15] [-1.22474176e-11 3.55432738e-08 -1.48085879e-14 1.33598106e-13 3.97119065e-16 1.95058319e-16] [-4.67078941e-13 -1.48085879e-14 3.54065777e-09 5.21551533e-15 1.85599021e-17 1.03795029e-17] [ 9.08538042e-12 1.33598106e-13 5.21551533e-15 2.78184264e-06 -2.96136281e-12 -1.18647149e-12] [ 1.95928427e-14 3.97119065e-16 1.85599021e-17 -2.96136281e-12 6.74804863e-09 -5.53867586e-15] [ 8.03866169e-15 1.95058319e-16 1.03795029e-17 -1.18647149e-12 -5.53867586e-15 7.06463273e-09]] LogLike[0095]=-3103.838396 sigma_a=0.305021 R: [[24.72661006 0.57350043] [ 0.57350043 25.84752732]] m0: [ 3.555566 -1.80940501 0.12136608 -0.32097794 0.70995208 -0.68009807] V0: [[ 2.14909996e-06 -1.23292643e-11 -4.71670132e-13 9.18566830e-12 1.98220403e-14 8.13854884e-15] [-1.23292643e-11 3.55432715e-08 -1.49871996e-14 1.35160954e-13 4.02042682e-16 1.97622817e-16] [-4.71670132e-13 -1.49871996e-14 3.54065775e-09 5.28032420e-15 1.88039179e-17 1.05239363e-17] [ 9.18566830e-12 1.35160954e-13 5.28032420e-15 2.78183584e-06 -2.98089557e-12 -1.19807621e-12] [ 1.98220403e-14 4.02042682e-16 1.88039179e-17 -2.98089557e-12 6.74804854e-09 -5.60538103e-15] [ 8.13854884e-15 1.97622817e-16 1.05239363e-17 -1.19807621e-12 -5.60538103e-15 7.06463265e-09]] LogLike[0096]=-3103.765792 sigma_a=0.303972 R: [[24.72678948 0.57310861] [ 0.57310861 25.84774384]] m0: [ 3.55556557 -1.80940502 0.12136608 -0.32097775 0.70995208 -0.68009807] V0: [[ 2.14909575e-06 -1.24113073e-11 -4.76277996e-13 9.28600865e-12 2.00516283e-14 8.23873127e-15] [-1.24113073e-11 3.55432691e-08 -1.51666715e-14 1.36726464e-13 4.06980636e-16 2.00197980e-16] [-4.76277996e-13 -1.51666715e-14 3.54065773e-09 5.34532470e-15 1.90489485e-17 1.06691490e-17] [ 9.28600865e-12 1.36726464e-13 5.34532470e-15 2.78182903e-06 -3.00047514e-12 -1.20972306e-12] [ 2.00516283e-14 4.06980636e-16 1.90489485e-17 -3.00047514e-12 6.74804846e-09 -5.67240737e-15] [ 8.23873127e-15 2.00197980e-16 1.06691490e-17 -1.20972306e-12 -5.67240737e-15 7.06463257e-09]] LogLike[0097]=-3103.692342 sigma_a=0.302913 R: [[24.72696217 0.57272664] [ 0.57272664 25.84795745]] m0: [ 3.55556513 -1.80940503 0.12136608 -0.32097757 0.70995208 -0.68009807] V0: [[ 2.14909153e-06 -1.24935422e-11 -4.80902179e-13 9.38639920e-12 2.02815955e-14 8.33920151e-15] [-1.24935422e-11 3.55432668e-08 -1.53469863e-14 1.38294560e-13 4.11932564e-16 2.02783561e-16] [-4.80902179e-13 -1.53469863e-14 3.54065771e-09 5.41051196e-15 1.92949705e-17 1.08151243e-17] [ 9.38639921e-12 1.38294560e-13 5.41051196e-15 2.78182222e-06 -3.02010047e-12 -1.22141113e-12] [ 2.02815955e-14 4.11932564e-16 1.92949705e-17 -3.02010047e-12 6.74804838e-09 -5.73974840e-15] [ 8.33920151e-15 2.02783561e-16 1.08151243e-17 -1.22141113e-12 -5.73974840e-15 7.06463248e-09]] LogLike[0098]=-3103.618535 sigma_a=0.301849 R: [[24.72713463 0.57234023] [ 0.57234023 25.84817608]] m0: [ 3.5555647 -1.80940505 0.12136608 -0.32097739 0.70995208 -0.68009807] V0: [[ 2.14908730e-06 -1.25759720e-11 -4.85542962e-13 9.48684336e-12 2.05119537e-14 8.43996701e-15] [-1.25759720e-11 3.55432644e-08 -1.55281595e-14 1.39865322e-13 4.16898830e-16 2.05379815e-16] [-4.85542962e-13 -1.55281595e-14 3.54065768e-09 5.47589084e-15 1.95420079e-17 1.09618806e-17] [ 9.48684336e-12 1.39865322e-13 5.47589084e-15 2.78181540e-06 -3.03977228e-12 -1.23314114e-12] [ 2.05119537e-14 4.16898830e-16 1.95420079e-17 -3.03977228e-12 6.74804829e-09 -5.80740993e-15] [ 8.43996701e-15 2.05379815e-16 1.09618806e-17 -1.23314114e-12 -5.80740993e-15 7.06463240e-09]] LogLike[0099]=-3103.544602 sigma_a=0.300786 R: [[24.72730592 0.5719514 ] [ 0.5719514 25.84839871]] m0: [ 3.55556426 -1.80940506 0.12136608 -0.3209772 0.70995208 -0.68009807] V0: [[ 2.14908307e-06 -1.26585986e-11 -4.90200521e-13 9.58734113e-12 2.07427055e-14 8.54103031e-15] [-1.26585986e-11 3.55432620e-08 -1.57102011e-14 1.41438769e-13 4.21879555e-16 2.07986848e-16] [-4.90200521e-13 -1.57102011e-14 3.54065766e-09 5.54146298e-15 1.97900712e-17 1.11094269e-17] [ 9.58734113e-12 1.41438769e-13 5.54146298e-15 2.78180856e-06 -3.05949101e-12 -1.24491353e-12] [ 2.07427055e-14 4.21879555e-16 1.97900712e-17 -3.05949101e-12 6.74804821e-09 -5.87539570e-15] [ 8.54103031e-15 2.07986848e-16 1.11094269e-17 -1.24491353e-12 -5.87539570e-15 7.06463231e-09]] LogLike[0100]=-3103.473697 sigma_a=0.299768 R: [[24.72747547 0.57156142] [ 0.57156142 25.8486247 ]] m0: [ 3.55556383 -1.80940508 0.12136608 -0.32097702 0.70995208 -0.68009807] V0: [[ 2.14907884e-06 -1.27414233e-11 -4.94874979e-13 9.68789253e-12 2.09738525e-14 8.64239316e-15] [-1.27414233e-11 3.55432596e-08 -1.58931187e-14 1.43014911e-13 4.26874826e-16 2.10604741e-16] [-4.94874979e-13 -1.58931187e-14 3.54065764e-09 5.60722951e-15 2.00391679e-17 1.12577701e-17] [ 9.68789253e-12 1.43014911e-13 5.60722951e-15 2.78180172e-06 -3.07925695e-12 -1.25672860e-12] [ 2.09738525e-14 4.26874826e-16 2.00391679e-17 -3.07925695e-12 6.74804813e-09 -5.94370848e-15] [ 8.64239316e-15 2.10604741e-16 1.12577701e-17 -1.25672860e-12 -5.94370848e-15 7.06463223e-09]] LogLike[0101]=-3103.401363 sigma_a=0.298730 R: [[24.72763641 0.57118645] [ 0.57118645 25.84884459]] m0: [ 3.5555634 -1.80940509 0.12136608 -0.32097683 0.70995209 -0.68009807] V0: [[ 2.14907460e-06 -1.28244386e-11 -4.99565733e-13 9.78849247e-12 2.12053729e-14 8.74404166e-15] [-1.28244386e-11 3.55432572e-08 -1.60768819e-14 1.44593600e-13 4.31883964e-16 2.13233034e-16] [-4.99565733e-13 -1.60768819e-14 3.54065762e-09 5.67318142e-15 2.02892542e-17 1.14068787e-17] [ 9.78849247e-12 1.44593600e-13 5.67318142e-15 2.78179488e-06 -3.09906835e-12 -1.26858483e-12] [ 2.12053729e-14 4.31883964e-16 2.02892542e-17 -3.09906835e-12 6.74804804e-09 -6.01233697e-15] [ 8.74404166e-15 2.13233034e-16 1.14068787e-17 -1.26858483e-12 -6.01233697e-15 7.06463214e-09]] LogLike[0102]=-3103.328720 sigma_a=0.297690 R: [[24.7277983 0.57080419] [ 0.57080419 25.84907137]] m0: [ 3.55556297 -1.80940511 0.12136608 -0.32097665 0.70995209 -0.68009807] V0: [[ 2.14907036e-06 -1.29076493e-11 -5.04273204e-13 9.88914628e-12 2.14372855e-14 8.84598725e-15] [-1.29076493e-11 3.55432548e-08 -1.62615136e-14 1.46174963e-13 4.36907527e-16 2.15872111e-16] [-5.04273204e-13 -1.62615136e-14 3.54065760e-09 5.73932612e-15 2.05403666e-17 1.15567800e-17] [ 9.88914628e-12 1.46174963e-13 5.73932612e-15 2.78178802e-06 -3.11892634e-12 -1.28048329e-12] [ 2.14372855e-14 4.36907527e-16 2.05403666e-17 -3.11892634e-12 6.74804796e-09 -6.08128969e-15] [ 8.84598725e-15 2.15872111e-16 1.15567800e-17 -1.28048329e-12 -6.08128969e-15 7.06463206e-09]] LogLike[0103]=-3103.259680 sigma_a=0.296702 R: [[24.72795901 0.57041968] [ 0.57041968 25.84930221]] m0: [ 3.55556253 -1.80940512 0.12136608 -0.32097647 0.70995209 -0.68009807] V0: [[ 2.14906611e-06 -1.29910571e-11 -5.08997557e-13 9.98985338e-12 2.16695913e-14 8.94823171e-15] [-1.29910571e-11 3.55432524e-08 -1.64470234e-14 1.47759007e-13 4.41945602e-16 2.18522059e-16] [-5.08997557e-13 -1.64470234e-14 3.54065758e-09 5.80566479e-15 2.07925135e-17 1.17074818e-17] [ 9.98985338e-12 1.47759007e-13 5.80566479e-15 2.78178116e-06 -3.13883131e-12 -1.29242439e-12] [ 2.16695913e-14 4.41945602e-16 2.07925135e-17 -3.13883131e-12 6.74804787e-09 -6.15057022e-15] [ 8.94823171e-15 2.18522059e-16 1.17074818e-17 -1.29242439e-12 -6.15057022e-15 7.06463197e-09]] LogLike[0104]=-3103.186688 sigma_a=0.295660 R: [[24.72811022 0.57005317] [ 0.57005317 25.84952485]] m0: [ 3.5555621 -1.80940514 0.12136608 -0.32097629 0.70995209 -0.68009807] V0: [[ 2.14906185e-06 -1.30746530e-11 -5.13738043e-13 1.00906075e-11 2.19022632e-14 9.05075775e-15] [-1.30746530e-11 3.55432499e-08 -1.66333732e-14 1.49345548e-13 4.46997346e-16 2.21182301e-16] [-5.13738043e-13 -1.66333732e-14 3.54065755e-09 5.87218619e-15 2.10456400e-17 1.18589443e-17] [ 1.00906075e-11 1.49345548e-13 5.87218619e-15 2.78177428e-06 -3.15878111e-12 -1.30440624e-12] [ 2.19022632e-14 4.46997345e-16 2.10456400e-17 -3.15878111e-12 6.74804778e-09 -6.22016436e-15] [ 9.05075775e-15 2.21182301e-16 1.18589443e-17 -1.30440624e-12 -6.22016436e-15 7.06463188e-09]] LogLike[0105]=-3103.114846 sigma_a=0.294635 R: [[24.72826759 0.56966644] [ 0.56966644 25.84976247]] m0: [ 3.55556167 -1.80940515 0.12136608 -0.3209761 0.70995209 -0.68009807] V0: [[ 2.14905759e-06 -1.31584487e-11 -5.18495680e-13 1.01914187e-11 2.21353408e-14 9.15359044e-15] [-1.31584487e-11 3.55432475e-08 -1.68206172e-14 1.50934856e-13 4.52063980e-16 2.23853688e-16] [-5.18495680e-13 -1.68206172e-14 3.54065753e-09 5.93890659e-15 2.12998270e-17 1.20112279e-17] [ 1.01914187e-11 1.50934856e-13 5.93890659e-15 2.78176740e-06 -3.17877854e-12 -1.31643140e-12] [ 2.21353408e-14 4.52063980e-16 2.12998270e-17 -3.17877854e-12 6.74804770e-09 -6.29009230e-15] [ 9.15359044e-15 2.23853688e-16 1.20112279e-17 -1.31643140e-12 -6.29009230e-15 7.06463180e-09]] LogLike[0106]=-3103.044005 sigma_a=0.293626 R: [[24.72842091 0.56928457] [ 0.56928457 25.84999996]] m0: [ 3.55556124 -1.80940516 0.12136608 -0.32097592 0.70995209 -0.68009807] V0: [[ 2.14905333e-06 -1.32424418e-11 -5.23270294e-13 1.02922818e-11 2.23688084e-14 9.25672175e-15] [-1.32424419e-11 3.55432450e-08 -1.70087472e-14 1.52526824e-13 4.57145110e-16 2.26535989e-16] [-5.23270294e-13 -1.70087472e-14 3.54065751e-09 6.00582078e-15 2.15550525e-17 1.21643186e-17] [ 1.02922818e-11 1.52526824e-13 6.00582078e-15 2.78176052e-06 -3.19882303e-12 -1.32849944e-12] [ 2.23688084e-14 4.57145110e-16 2.15550525e-17 -3.19882303e-12 6.74804761e-09 -6.36035100e-15] [ 9.25672175e-15 2.26535989e-16 1.21643186e-17 -1.32849944e-12 -6.36035100e-15 7.06463171e-09]] LogLike[0107]=-3102.972919 sigma_a=0.292615 R: [[24.72857022 0.56890756] [ 0.56890756 25.85023722]] m0: [ 3.55556082 -1.80940518 0.12136608 -0.32097574 0.70995209 -0.68009807] V0: [[ 2.14904906e-06 -1.33266306e-11 -5.28061740e-13 1.03931961e-11 2.26026621e-14 9.36014893e-15] [-1.33266306e-11 3.55432426e-08 -1.71977567e-14 1.54121424e-13 4.62240605e-16 2.29229117e-16] [-5.28061740e-13 -1.71977567e-14 3.54065749e-09 6.07292698e-15 2.18113083e-17 1.23182110e-17] [ 1.03931961e-11 1.54121424e-13 6.07292698e-15 2.78175362e-06 -3.21891415e-12 -1.34060999e-12] [ 2.26026621e-14 4.62240604e-16 2.18113083e-17 -3.21891415e-12 6.74804753e-09 -6.43093805e-15] [ 9.36014893e-15 2.29229117e-16 1.23182110e-17 -1.34060999e-12 -6.43093805e-15 7.06463162e-09]] LogLike[0108]=-3102.901950 sigma_a=0.291607 R: [[24.7287181 0.56852898] [ 0.56852898 25.85047826]] m0: [ 3.55556039 -1.80940519 0.12136608 -0.32097555 0.7099521 -0.68009807] V0: [[ 2.14904478e-06 -1.34110165e-11 -5.32870172e-13 1.04941630e-11 2.28369074e-14 9.46387570e-15] [-1.34110165e-11 3.55432401e-08 -1.73876549e-14 1.55718695e-13 4.67350644e-16 2.31933208e-16] [-5.32870172e-13 -1.73876549e-14 3.54065746e-09 6.14022761e-15 2.20686073e-17 1.24729157e-17] [ 1.04941630e-11 1.55718695e-13 6.14022761e-15 2.78174671e-06 -3.23905224e-12 -1.35276344e-12] [ 2.28369074e-14 4.67350644e-16 2.20686073e-17 -3.23905224e-12 6.74804744e-09 -6.50185680e-15] [ 9.46387570e-15 2.31933208e-16 1.24729157e-17 -1.35276344e-12 -6.50185680e-15 7.06463153e-09]] LogLike[0109]=-3102.833409 sigma_a=0.290635 R: [[24.7288639 0.56815051] [ 0.56815051 25.8507221 ]] m0: [ 3.55555996 -1.80940521 0.12136607 -0.32097537 0.7099521 -0.68009807] V0: [[ 2.14904050e-06 -1.34956001e-11 -5.37695657e-13 1.05951824e-11 2.30715444e-14 9.56790275e-15] [-1.34956001e-11 3.55432376e-08 -1.75784461e-14 1.57318637e-13 4.72475260e-16 2.34648303e-16] [-5.37695657e-13 -1.75784461e-14 3.54065744e-09 6.20772309e-15 2.23269534e-17 1.26284366e-17] [ 1.05951824e-11 1.57318637e-13 6.20772309e-15 2.78173980e-06 -3.25923744e-12 -1.36495995e-12] [ 2.30715444e-14 4.72475259e-16 2.23269534e-17 -3.25923744e-12 6.74804735e-09 -6.57310893e-15] [ 9.56790275e-15 2.34648303e-16 1.26284366e-17 -1.36495995e-12 -6.57310893e-15 7.06463144e-09]] LogLike[0110]=-3102.763689 sigma_a=0.289648 R: [[24.72900312 0.56778417] [ 0.56778417 25.85096089]] m0: [ 3.55555954 -1.80940522 0.12136607 -0.32097519 0.7099521 -0.68009807] V0: [[ 2.14903622e-06 -1.35803754e-11 -5.42537701e-13 1.06962503e-11 2.33065558e-14 9.67221884e-15] [-1.35803754e-11 3.55432352e-08 -1.77701056e-14 1.58921133e-13 4.77613907e-16 2.37374028e-16] [-5.42537701e-13 -1.77701056e-14 3.54065742e-09 6.27540617e-15 2.25863110e-17 1.27847481e-17] [ 1.06962503e-11 1.58921133e-13 6.27540617e-15 2.78173288e-06 -3.27946832e-12 -1.37719828e-12] [ 2.33065558e-14 4.77613906e-16 2.25863110e-17 -3.27946832e-12 6.74804726e-09 -6.64468519e-15] [ 9.67221884e-15 2.37374028e-16 1.27847481e-17 -1.37719828e-12 -6.64468519e-15 7.06463135e-09]] LogLike[0111]=-3102.693804 sigma_a=0.288659 R: [[24.72914272 0.56741164] [ 0.56741164 25.8512065 ]] m0: [ 3.55555911 -1.80940524 0.12136607 -0.32097501 0.7099521 -0.68009806] V0: [[ 2.14903193e-06 -1.36653466e-11 -5.47396683e-13 1.07973711e-11 2.35419575e-14 9.77683398e-15] [-1.36653466e-11 3.55432327e-08 -1.79626542e-14 1.60526290e-13 4.82767072e-16 2.40110725e-16] [-5.47396683e-13 -1.79626542e-14 3.54065740e-09 6.34328332e-15 2.28467127e-17 1.29418750e-17] [ 1.07973711e-11 1.60526290e-13 6.34328332e-15 2.78172595e-06 -3.29974588e-12 -1.38947937e-12] [ 2.35419575e-14 4.82767071e-16 2.28467127e-17 -3.29974588e-12 6.74804718e-09 -6.71659332e-15] [ 9.77683398e-15 2.40110725e-16 1.29418750e-17 -1.38947937e-12 -6.71659332e-15 7.06463126e-09]] LogLike[0112]=-3102.621604 sigma_a=0.287639 R: [[24.72928093 0.56703763] [ 0.56703763 25.85145599]] m0: [ 3.55555868 -1.80940525 0.12136607 -0.32097482 0.7099521 -0.68009806] V0: [[ 2.14902763e-06 -1.37505150e-11 -5.52272737e-13 1.08985443e-11 2.37777499e-14 9.88174946e-15] [-1.37505150e-11 3.55432302e-08 -1.81561000e-14 1.62134112e-13 4.87934816e-16 2.42858464e-16] [-5.52272737e-13 -1.81561000e-14 3.54065737e-09 6.41135537e-15 2.31081651e-17 1.30998237e-17] [ 1.08985443e-11 1.62134112e-13 6.41135537e-15 2.78171901e-06 -3.32007043e-12 -1.40180358e-12] [ 2.37777499e-14 4.87934816e-16 2.31081651e-17 -3.32007043e-12 6.74804709e-09 -6.78883635e-15] [ 9.88174946e-15 2.42858464e-16 1.30998237e-17 -1.40180358e-12 -6.78883635e-15 7.06463117e-09]] LogLike[0113]=-3102.552478 sigma_a=0.286664 R: [[24.7294217 0.56665107] [ 0.56665107 25.85171691]] m0: [ 3.55555826 -1.80940526 0.12136607 -0.32097464 0.7099521 -0.68009806] V0: [[ 2.14902333e-06 -1.38358881e-11 -5.57166529e-13 1.09997738e-11 2.40139525e-14 9.98697895e-15] [-1.38358882e-11 3.55432277e-08 -1.83504790e-14 1.63744731e-13 4.93117805e-16 2.45617737e-16] [-5.57166529e-13 -1.83504790e-14 3.54065735e-09 6.47963121e-15 2.33707151e-17 1.32586310e-17] [ 1.09997738e-11 1.63744731e-13 6.47963121e-15 2.78171207e-06 -3.34044375e-12 -1.41417258e-12] [ 2.40139525e-14 4.93117805e-16 2.33707151e-17 -3.34044375e-12 6.74804700e-09 -6.86142774e-15] [ 9.98697895e-15 2.45617737e-16 1.32586310e-17 -1.41417258e-12 -6.86142774e-15 7.06463107e-09]] LogLike[0114]=-3102.483054 sigma_a=0.285686 R: [[24.72955505 0.56627966] [ 0.56627966 25.85197062]] m0: [ 3.55555784 -1.80940528 0.12136607 -0.32097446 0.7099521 -0.68009806] V0: [[ 2.14901903e-06 -1.39214581e-11 -5.62077399e-13 1.11010522e-11 2.42505371e-14 1.00925052e-14] [-1.39214581e-11 3.55432252e-08 -1.85457576e-14 1.65357956e-13 4.98315200e-16 2.48387983e-16] [-5.62077399e-13 -1.85457576e-14 3.54065733e-09 6.54809966e-15 2.36343091e-17 1.34182585e-17] [ 1.11010522e-11 1.65357956e-13 6.54809966e-15 2.78170511e-06 -3.36086396e-12 -1.42658470e-12] [ 2.42505371e-14 4.98315199e-16 2.36343091e-17 -3.36086396e-12 6.74804691e-09 -6.93435492e-15] [ 1.00925052e-14 2.48387983e-16 1.34182585e-17 -1.42658470e-12 -6.93435492e-15 7.06463098e-09]] LogLike[0115]=-3102.415524 sigma_a=0.284736 R: [[24.72968701 0.5659067 ] [ 0.5659067 25.85222835]] m0: [ 3.55555741 -1.80940529 0.12136607 -0.32097428 0.70995211 -0.68009806] V0: [[ 2.14901472e-06 -1.40072265e-11 -5.67005518e-13 1.12023830e-11 2.44875143e-14 1.01983344e-14] [-1.40072265e-11 3.55432226e-08 -1.87419458e-14 1.66973858e-13 5.03527295e-16 2.51169401e-16] [-5.67005518e-13 -1.87419458e-14 3.54065730e-09 6.61676465e-15 2.38989664e-17 1.35787206e-17] [ 1.12023830e-11 1.66973858e-13 6.61676465e-15 2.78169815e-06 -3.38133146e-12 -1.43904037e-12] [ 2.44875143e-14 5.03527294e-16 2.38989664e-17 -3.38133146e-12 6.74804682e-09 -7.00762160e-15] [ 1.01983344e-14 2.51169401e-16 1.35787206e-17 -1.43904037e-12 -7.00762160e-15 7.06463089e-09]] LogLike[0116]=-3102.344266 sigma_a=0.283734 R: [[24.72981383 0.56554312] [ 0.56554312 25.85248251]] m0: [ 3.55555699 -1.80940531 0.12136607 -0.3209741 0.70995211 -0.68009806] V0: [[ 2.14901040e-06 -1.40931889e-11 -5.71950506e-13 1.13037629e-11 2.47248699e-14 1.03044574e-14] [-1.40931889e-11 3.55432201e-08 -1.89390247e-14 1.68592340e-13 5.08753652e-16 2.53961696e-16] [-5.71950506e-13 -1.89390247e-14 3.54065728e-09 6.68562034e-15 2.41646586e-17 1.37399972e-17] [ 1.13037629e-11 1.68592340e-13 6.68562034e-15 2.78169118e-06 -3.40184516e-12 -1.45153863e-12] [ 2.47248699e-14 5.08753651e-16 2.41646586e-17 -3.40184516e-12 6.74804673e-09 -7.08122071e-15] [ 1.03044574e-14 2.53961696e-16 1.37399972e-17 -1.45153863e-12 -7.08122071e-15 7.06463080e-09]] LogLike[0117]=-3102.273343 sigma_a=0.282739 R: [[24.7299455 0.56515988] [ 0.56515988 25.85275352]] m0: [ 3.55555657 -1.80940532 0.12136607 -0.32097391 0.70995211 -0.68009806] V0: [[ 2.14900608e-06 -1.41793570e-11 -5.76913396e-13 1.14052003e-11 2.49626396e-14 1.04108979e-14] [-1.41793570e-11 3.55432175e-08 -1.91370497e-14 1.70213646e-13 5.13995423e-16 2.56765694e-16] [-5.76913396e-13 -1.91370497e-14 3.54065725e-09 6.75468208e-15 2.44314645e-17 1.39021484e-17] [ 1.14052003e-11 1.70213646e-13 6.75468208e-15 2.78168420e-06 -3.42240784e-12 -1.46408209e-12] [ 2.49626396e-14 5.13995423e-16 2.44314645e-17 -3.42240784e-12 6.74804664e-09 -7.15517300e-15] [ 1.04108979e-14 2.56765694e-16 1.39021484e-17 -1.46408209e-12 -7.15517300e-15 7.06463070e-09]] LogLike[0118]=-3102.204377 sigma_a=0.281773 R: [[24.73007499 0.56477732] [ 0.56477732 25.85302733]] m0: [ 3.55555615 -1.80940533 0.12136607 -0.32097373 0.70995211 -0.68009806] V0: [[ 2.14900176e-06 -1.42657306e-11 -5.81894208e-13 1.15066912e-11 2.52008140e-14 1.05176520e-14] [-1.42657306e-11 3.55432150e-08 -1.93360231e-14 1.71837713e-13 5.19252418e-16 2.59581308e-16] [-5.81894208e-13 -1.93360231e-14 3.54065723e-09 6.82394737e-15 2.46993757e-17 1.40651707e-17] [ 1.15066912e-11 1.71837713e-13 6.82394737e-15 2.78167722e-06 -3.44301948e-12 -1.47667080e-12] [ 2.52008140e-14 5.19252417e-16 2.46993757e-17 -3.44301948e-12 6.74804655e-09 -7.22947925e-15] [ 1.05176520e-14 2.59581308e-16 1.40651707e-17 -1.47667080e-12 -7.22947925e-15 7.06463061e-09]] LogLike[0119]=-3102.137010 sigma_a=0.280830 R: [[24.73019928 0.56440454] [ 0.56440454 25.85329731]] m0: [ 3.55555573 -1.80940535 0.12136607 -0.32097355 0.70995211 -0.68009806] V0: [[ 2.14899742e-06 -1.43523049e-11 -5.86892545e-13 1.16082327e-11 2.54393794e-14 1.06247109e-14] [-1.43523049e-11 3.55432124e-08 -1.95359249e-14 1.73464445e-13 5.24524198e-16 2.62408240e-16] [-5.86892545e-13 -1.95359249e-14 3.54065721e-09 6.89341038e-15 2.49683639e-17 1.42290435e-17] [ 1.16082327e-11 1.73464445e-13 6.89341038e-15 2.78167022e-06 -3.46367894e-12 -1.48930375e-12] [ 2.54393794e-14 5.24524198e-16 2.49683639e-17 -3.46367894e-12 6.74804646e-09 -7.30413203e-15] [ 1.06247109e-14 2.62408240e-16 1.42290435e-17 -1.48930375e-12 -7.30413203e-15 7.06463051e-09]] LogLike[0120]=-3102.070815 sigma_a=0.279904 R: [[24.73031902 0.56403998] [ 0.56403998 25.85356439]] m0: [ 3.55555531 -1.80940536 0.12136607 -0.32097337 0.70995211 -0.68009806] V0: [[ 2.14899309e-06 -1.44390763e-11 -5.91908096e-13 1.17098238e-11 2.56783287e-14 1.07320690e-14] [-1.44390763e-11 3.55432099e-08 -1.97367398e-14 1.75093796e-13 5.29810506e-16 2.65246300e-16] [-5.91908096e-13 -1.97367398e-14 3.54065718e-09 6.96306764e-15 2.52384110e-17 1.43937534e-17] [ 1.17098238e-11 1.75093796e-13 6.96306764e-15 2.78166322e-06 -3.48438531e-12 -1.50198015e-12] [ 2.56783287e-14 5.29810505e-16 2.52384110e-17 -3.48438531e-12 6.74804637e-09 -7.37912558e-15] [ 1.07320690e-14 2.65246300e-16 1.43937534e-17 -1.50198015e-12 -7.37912558e-15 7.06463042e-09]] LogLike[0121]=-3102.005444 sigma_a=0.278992 R: [[24.73043507 0.56368136] [ 0.56368136 25.85383009]] m0: [ 3.55555489 -1.80940538 0.12136607 -0.32097318 0.70995212 -0.68009806] V0: [[ 2.14898875e-06 -1.45260421e-11 -5.96940655e-13 1.18114642e-11 2.59176574e-14 1.08397231e-14] [-1.45260421e-11 3.55432073e-08 -1.99384577e-14 1.76725734e-13 5.35111176e-16 2.68095372e-16] [-5.96940655e-13 -1.99384577e-14 3.54065716e-09 7.03291695e-15 2.55095059e-17 1.45592925e-17] [ 1.18114642e-11 1.76725734e-13 7.03291695e-15 2.78165621e-06 -3.50513797e-12 -1.51469949e-12] [ 2.59176574e-14 5.35111175e-16 2.55095059e-17 -3.50513797e-12 6.74804628e-09 -7.45445617e-15] [ 1.08397231e-14 2.68095372e-16 1.45592925e-17 -1.51469949e-12 -7.45445617e-15 7.06463032e-09]] LogLike[0122]=-3101.940947 sigma_a=0.278092 R: [[24.73054812 0.56332681] [ 0.56332681 25.85409571]] m0: [ 3.55555448 -1.80940539 0.12136607 -0.320973 0.70995212 -0.68009806] V0: [[ 2.14898440e-06 -1.46132006e-11 -6.01990099e-13 1.19131538e-11 2.61573631e-14 1.09476711e-14] [-1.46132006e-11 3.55432047e-08 -2.01410733e-14 1.78360243e-13 5.40426116e-16 2.70955392e-16] [-6.01990099e-13 -2.01410733e-14 3.54065713e-09 7.10295706e-15 2.57816427e-17 1.47256568e-17] [ 1.19131538e-11 1.78360243e-13 7.10295706e-15 2.78164919e-06 -3.52593654e-12 -1.52746146e-12] [ 2.61573631e-14 5.40426115e-16 2.57816427e-17 -3.52593654e-12 6.74804619e-09 -7.53012179e-15] [ 1.09476711e-14 2.70955392e-16 1.47256568e-17 -1.52746146e-12 -7.53012179e-15 7.06463022e-09]] LogLike[0123]=-3101.874703 sigma_a=0.277170 R: [[24.73065817 0.56297656] [ 0.56297656 25.85436102]] m0: [ 3.55555406 -1.8094054 0.12136607 -0.32097282 0.70995212 -0.68009806] V0: [[ 2.14898005e-06 -1.47005502e-11 -6.07056294e-13 1.20148920e-11 2.63974418e-14 1.10559106e-14] [-1.47005502e-11 3.55432021e-08 -2.03445803e-14 1.79997297e-13 5.45755197e-16 2.73826275e-16] [-6.07056294e-13 -2.03445803e-14 3.54065711e-09 7.17318626e-15 2.60548132e-17 1.48928408e-17] [ 1.20148920e-11 1.79997297e-13 7.17318626e-15 2.78164216e-06 -3.54678060e-12 -1.54026571e-12] [ 2.63974418e-14 5.45755197e-16 2.60548132e-17 -3.54678060e-12 6.74804610e-09 -7.60612007e-15] [ 1.10559106e-14 2.73826275e-16 1.48928408e-17 -1.54026571e-12 -7.60612007e-15 7.06463012e-09]] LogLike[0124]=-3101.809232 sigma_a=0.276259 R: [[24.73076951 0.56261678] [ 0.56261678 25.85463654]] m0: [ 3.55555364 -1.80940542 0.12136607 -0.32097264 0.70995212 -0.68009806] V0: [[ 2.14897570e-06 -1.47880968e-11 -6.12139787e-13 1.21166829e-11 2.66379115e-14 1.11644536e-14] [-1.47880969e-11 3.55431995e-08 -2.05490087e-14 1.81637016e-13 5.51099014e-16 2.76708457e-16] [-6.12139787e-13 -2.05490087e-14 3.54065708e-09 7.24361247e-15 2.63290588e-17 1.50608770e-17] [ 1.21166829e-11 1.81637016e-13 7.24361247e-15 2.78163513e-06 -3.56767157e-12 -1.55311362e-12] [ 2.66379115e-14 5.51099013e-16 2.63290588e-17 -3.56767157e-12 6.74804601e-09 -7.68246228e-15] [ 1.11644536e-14 2.76708457e-16 1.50608770e-17 -1.55311362e-12 -7.68246228e-15 7.06463003e-09]] LogLike[0125]=-3101.742996 sigma_a=0.275338 R: [[24.73087816 0.56226034] [ 0.56226034 25.85491258]] m0: [ 3.55555323 -1.80940543 0.12136607 -0.32097246 0.70995212 -0.68009806] V0: [[ 2.14897134e-06 -1.48758391e-11 -6.17240469e-13 1.22185236e-11 2.68787631e-14 1.12732954e-14] [-1.48758391e-11 3.55431969e-08 -2.07543540e-14 1.83279341e-13 5.56457335e-16 2.79601805e-16] [-6.17240469e-13 -2.07543540e-14 3.54065706e-09 7.31423265e-15 2.66043670e-17 1.52297575e-17] [ 1.22185236e-11 1.83279341e-13 7.31423265e-15 2.78162809e-06 -3.58860911e-12 -1.56600492e-12] [ 2.68787631e-14 5.56457335e-16 2.66043670e-17 -3.58860911e-12 6.74804591e-09 -7.75914662e-15] [ 1.12732954e-14 2.79601805e-16 1.52297575e-17 -1.56600492e-12 -7.75914662e-15 7.06462993e-09]] LogLike[0126]=-3101.677046 sigma_a=0.274423 R: [[24.73098647 0.56189951] [ 0.56189951 25.85519516]] m0: [ 3.55555281 -1.80940544 0.12136607 -0.32097228 0.70995212 -0.68009806] V0: [[ 2.14896697e-06 -1.49637801e-11 -6.22358637e-13 1.23204162e-11 2.71200063e-14 1.13824428e-14] [-1.49637801e-11 3.55431943e-08 -2.09606329e-14 1.84924335e-13 5.61830481e-16 2.82506558e-16] [-6.22358637e-13 -2.09606329e-14 3.54065703e-09 7.38505105e-15 2.68807605e-17 1.53995008e-17] [ 1.23204162e-11 1.84924335e-13 7.38505105e-15 2.78162104e-06 -3.60959398e-12 -1.57894036e-12] [ 2.71200063e-14 5.61830480e-16 2.68807605e-17 -3.60959397e-12 6.74804582e-09 -7.83617939e-15] [ 1.13824428e-14 2.82506558e-16 1.53995008e-17 -1.57894036e-12 -7.83617939e-15 7.06462983e-09]] LogLike[0127]=-3101.613153 sigma_a=0.273537 R: [[24.73109283 0.56153959] [ 0.56153959 25.85548019]] m0: [ 3.5555524 -1.80940546 0.12136607 -0.32097209 0.70995212 -0.68009806] V0: [[ 2.14896260e-06 -1.50519199e-11 -6.27494313e-13 1.24223598e-11 2.73616383e-14 1.14918946e-14] [-1.50519199e-11 3.55431916e-08 -2.11678475e-14 1.86571981e-13 5.67218405e-16 2.85422708e-16] [-6.27494313e-13 -2.11678475e-14 3.54065701e-09 7.45606708e-15 2.71582384e-17 1.55701076e-17] [ 1.24223598e-11 1.86571981e-13 7.45606708e-15 2.78161398e-06 -3.63062615e-12 -1.59191998e-12] [ 2.73616383e-14 5.67218405e-16 2.71582384e-17 -3.63062615e-12 6.74804573e-09 -7.91356138e-15] [ 1.14918946e-14 2.85422708e-16 1.55701076e-17 -1.59191998e-12 -7.91356138e-15 7.06462973e-09]] LogLike[0128]=-3101.547779 sigma_a=0.272632 R: [[24.73119452 0.56119014] [ 0.56119014 25.85576 ]] m0: [ 3.55555199 -1.80940547 0.12136607 -0.32097191 0.70995213 -0.68009806] V0: [[ 2.14895822e-06 -1.51402531e-11 -6.32647041e-13 1.25243509e-11 2.76036439e-14 1.16016409e-14] [-1.51402531e-11 3.55431890e-08 -2.13759747e-14 1.88222175e-13 5.72620619e-16 2.88349912e-16] [-6.32647041e-13 -2.13759747e-14 3.54065698e-09 7.52727421e-15 2.74367683e-17 1.57415540e-17] [ 1.25243509e-11 1.88222175e-13 7.52727421e-15 2.78160691e-06 -3.65170436e-12 -1.60494264e-12] [ 2.76036439e-14 5.72620619e-16 2.74367683e-17 -3.65170436e-12 6.74804564e-09 -7.99128391e-15] [ 1.16016409e-14 2.88349912e-16 1.57415540e-17 -1.60494264e-12 -7.99128391e-15 7.06462963e-09]] LogLike[0129]=-3101.482532 sigma_a=0.271730 R: [[24.73129689 0.56083269] [ 0.56083269 25.85604936]] m0: [ 3.55555157 -1.80940548 0.12136607 -0.32097173 0.70995213 -0.68009805] V0: [[ 2.14895384e-06 -1.52287850e-11 -6.37817315e-13 1.26263944e-11 2.78460419e-14 1.17116939e-14] [-1.52287850e-11 3.55431864e-08 -2.15850417e-14 1.89875045e-13 5.78037715e-16 2.91288596e-16] [-6.37817315e-13 -2.15850417e-14 3.54065696e-09 7.59868032e-15 2.77163905e-17 1.59138713e-17] [ 1.26263944e-11 1.89875045e-13 7.59868032e-15 2.78159984e-06 -3.67282988e-12 -1.61800959e-12] [ 2.78460419e-14 5.78037715e-16 2.77163905e-17 -3.67282987e-12 6.74804554e-09 -8.06935717e-15] [ 1.17116939e-14 2.91288596e-16 1.59138713e-17 -1.61800959e-12 -8.06935717e-15 7.06462953e-09]] LogLike[0130]=-3101.419558 sigma_a=0.270860 R: [[24.73139767 0.56047521] [ 0.56047521 25.85634197]] m0: [ 3.55555116 -1.8094055 0.12136607 -0.32097155 0.70995213 -0.68009805] V0: [[ 2.14894946e-06 -1.53175161e-11 -6.43005195e-13 1.27284888e-11 2.80888293e-14 1.18220527e-14] [-1.53175161e-11 3.55431837e-08 -2.17950530e-14 1.91530571e-13 5.83469654e-16 2.94238765e-16] [-6.43005195e-13 -2.17950530e-14 3.54065693e-09 7.67028495e-15 2.79971056e-17 1.60870618e-17] [ 1.27284888e-11 1.91530571e-13 7.67028495e-15 2.78159275e-06 -3.69400281e-12 -1.63112097e-12] [ 2.80888293e-14 5.83469654e-16 2.79971056e-17 -3.69400281e-12 6.74804545e-09 -8.14778279e-15] [ 1.18220527e-14 2.94238765e-16 1.60870618e-17 -1.63112097e-12 -8.14778279e-15 7.06462943e-09]] LogLike[0131]=-3101.352265 sigma_a=0.269932 R: [[24.73149365 0.56012937] [ 0.56012937 25.85662816]] m0: [ 3.55555075 -1.80940551 0.12136607 -0.32097137 0.70995213 -0.68009805] V0: [[ 2.14894507e-06 -1.54064403e-11 -6.48210160e-13 1.28306301e-11 2.83319885e-14 1.19327056e-14] [-1.54064404e-11 3.55431810e-08 -2.20059816e-14 1.93188633e-13 5.88915868e-16 2.97200017e-16] [-6.48210160e-13 -2.20059816e-14 3.54065691e-09 7.74208050e-15 2.82788754e-17 1.62610970e-17] [ 1.28306301e-11 1.93188633e-13 7.74208050e-15 2.78158566e-06 -3.71522169e-12 -1.64427546e-12] [ 2.83319885e-14 5.88915869e-16 2.82788754e-17 -3.71522169e-12 6.74804535e-09 -8.22655071e-15] [ 1.19327056e-14 2.97200017e-16 1.62610970e-17 -1.64427546e-12 -8.22655071e-15 7.06462933e-09]] LogLike[0132]=-3101.287831 sigma_a=0.269044 R: [[24.73159434 0.55976038] [ 0.55976038 25.85693686]] m0: [ 3.55555034 -1.80940553 0.12136607 -0.32097118 0.70995213 -0.68009805] V0: [[ 2.14894067e-06 -1.54955719e-11 -6.53433487e-13 1.29328288e-11 2.85755630e-14 1.20436820e-14] [-1.54955719e-11 3.55431784e-08 -2.22178969e-14 1.94849526e-13 5.94377779e-16 3.00173385e-16] [-6.53433487e-13 -2.22178969e-14 3.54065688e-09 7.81408593e-15 2.85617981e-17 1.64360531e-17] [ 1.29328288e-11 1.94849526e-13 7.81408593e-15 2.78157857e-06 -3.73648992e-12 -1.65747630e-12] [ 2.85755630e-14 5.94377780e-16 2.85617981e-17 -3.73648992e-12 6.74804526e-09 -8.30568688e-15] [ 1.20436820e-14 3.00173385e-16 1.64360531e-17 -1.65747630e-12 -8.30568688e-15 7.06462922e-09]] LogLike[0133]=-3101.225506 sigma_a=0.268186 R: [[24.73168965 0.55940548] [ 0.55940548 25.85723716]] m0: [ 3.55554993 -1.80940554 0.12136607 -0.320971 0.70995213 -0.68009805] V0: [[ 2.14893627e-06 -1.55849028e-11 -6.58674492e-13 1.30350754e-11 2.88195199e-14 1.21549620e-14] [-1.55849028e-11 3.55431757e-08 -2.24307635e-14 1.96513027e-13 5.99854421e-16 3.03158222e-16] [-6.58674492e-13 -2.24307635e-14 3.54065685e-09 7.88628839e-15 2.88458122e-17 1.66118856e-17] [ 1.30350754e-11 1.96513027e-13 7.88628839e-15 2.78157146e-06 -3.75780558e-12 -1.67072174e-12] [ 2.88195199e-14 5.99854421e-16 2.88458122e-17 -3.75780558e-12 6.74804517e-09 -8.38517800e-15] [ 1.21549620e-14 3.03158222e-16 1.66118856e-17 -1.67072174e-12 -8.38517800e-15 7.06462912e-09]] LogLike[0134]=-3101.161981 sigma_a=0.267312 R: [[24.73178045 0.55906179] [ 0.55906179 25.8575311 ]] m0: [ 3.55554952 -1.80940555 0.12136607 -0.32097082 0.70995214 -0.68009805] V0: [[ 2.14893187e-06 -1.56744273e-11 -6.63932690e-13 1.31373689e-11 2.90638491e-14 1.22665376e-14] [-1.56744273e-11 3.55431730e-08 -2.26445563e-14 1.98179068e-13 6.05345402e-16 3.06154231e-16] [-6.63932690e-13 -2.26445563e-14 3.54065683e-09 7.95868264e-15 2.91308894e-17 1.67885724e-17] [ 1.31373689e-11 1.98179068e-13 7.95868264e-15 2.78156435e-06 -3.77916732e-12 -1.68401056e-12] [ 2.90638491e-14 6.05345402e-16 2.91308894e-17 -3.77916732e-12 6.74804507e-09 -8.46501469e-15] [ 1.22665376e-14 3.06154231e-16 1.67885724e-17 -1.68401056e-12 -8.46501469e-15 7.06462902e-09]] LogLike[0135]=-3101.100620 sigma_a=0.266469 R: [[24.73187146 0.55871156] [ 0.55871156 25.85783384]] m0: [ 3.55554911 -1.80940557 0.12136607 -0.32097064 0.70995214 -0.68009805] V0: [[ 2.14892746e-06 -1.57641501e-11 -6.69208506e-13 1.32397139e-11 2.93085675e-14 1.23784195e-14] [-1.57641501e-11 3.55431703e-08 -2.28592991e-14 1.99847763e-13 6.10851256e-16 3.09161797e-16] [-6.69208506e-13 -2.28592991e-14 3.54065680e-09 8.03127579e-15 2.94170662e-17 1.69661422e-17] [ 1.32397139e-11 1.99847763e-13 8.03127579e-15 2.78155722e-06 -3.80057623e-12 -1.69734385e-12] [ 2.93085675e-14 6.10851256e-16 2.94170662e-17 -3.80057623e-12 6.74804498e-09 -8.54520591e-15] [ 1.23784195e-14 3.09161797e-16 1.69661422e-17 -1.69734385e-12 -8.54520591e-15 7.06462891e-09]] LogLike[0136]=-3101.036580 sigma_a=0.265591 R: [[24.73195823 0.55837228] [ 0.55837228 25.85813027]] m0: [ 3.55554871 -1.80940558 0.12136607 -0.32097046 0.70995214 -0.68009805] V0: [[ 2.14892304e-06 -1.58540652e-11 -6.74501432e-13 1.33421053e-11 2.95536552e-14 1.24905953e-14] [-1.58540652e-11 3.55431676e-08 -2.30749656e-14 2.01518975e-13 6.16371363e-16 3.12180492e-16] [-6.74501432e-13 -2.30749656e-14 3.54065678e-09 8.10405958e-15 2.97043021e-17 1.71445651e-17] [ 1.33421053e-11 2.01518975e-13 8.10405958e-15 2.78155009e-06 -3.82203088e-12 -1.71072030e-12] [ 2.95536552e-14 6.16371364e-16 2.97043021e-17 -3.82203088e-12 6.74804488e-09 -8.62574177e-15] [ 1.24905953e-14 3.12180492e-16 1.71445651e-17 -1.71072030e-12 -8.62574177e-15 7.06462881e-09]] LogLike[0137]=-3100.975285 sigma_a=0.264750 R: [[24.73204717 0.55801849] [ 0.55801849 25.85844264]] m0: [ 3.5555483 -1.80940559 0.12136607 -0.32097027 0.70995214 -0.68009805] V0: [[ 2.14891862e-06 -1.59441819e-11 -6.79812314e-13 1.34445504e-11 2.97991417e-14 1.26030847e-14] [-1.59441819e-11 3.55431648e-08 -2.32916024e-14 2.03192909e-13 6.21906690e-16 3.15211019e-16] [-6.79812314e-13 -2.32916024e-14 3.54065675e-09 8.17704690e-15 2.99926640e-17 1.73238932e-17] [ 1.34445504e-11 2.03192909e-13 8.17704690e-15 2.78154295e-06 -3.84353350e-12 -1.72414207e-12] [ 2.97991417e-14 6.21906690e-16 2.99926640e-17 -3.84353350e-12 6.74804478e-09 -8.70663969e-15] [ 1.26030847e-14 3.15211019e-16 1.73238932e-17 -1.72414207e-12 -8.70663969e-15 7.06462870e-09]] LogLike[0138]=-3100.910613 sigma_a=0.263865 R: [[24.73213126 0.55767854] [ 0.55767854 25.85874604]] m0: [ 3.5555479 -1.80940561 0.12136607 -0.32097009 0.70995214 -0.68009805] V0: [[ 2.14891420e-06 -1.60344923e-11 -6.85140474e-13 1.35470415e-11 3.00449986e-14 1.27158697e-14] [-1.60344923e-11 3.55431621e-08 -2.35091740e-14 2.04869368e-13 6.27456363e-16 3.18252781e-16] [-6.85140474e-13 -2.35091740e-14 3.54065672e-09 8.25022611e-15 3.02820949e-17 1.75040846e-17] [ 1.35470415e-11 2.04869368e-13 8.25022611e-15 2.78153581e-06 -3.86508220e-12 -1.73760742e-12] [ 3.00449986e-14 6.27456363e-16 3.02820949e-17 -3.86508220e-12 6.74804469e-09 -8.78788640e-15] [ 1.27158697e-14 3.18252781e-16 1.75040846e-17 -1.73760742e-12 -8.78788640e-15 7.06462860e-09]] LogLike[0139]=-3100.849083 sigma_a=0.263024 R: [[24.7322183 0.55732035] [ 0.55732035 25.8590691 ]] m0: [ 3.55554749 -1.80940562 0.12136607 -0.32096991 0.70995214 -0.68009805] V0: [[ 2.14890977e-06 -1.61250081e-11 -6.90486968e-13 1.36495879e-11 3.02912629e-14 1.28289753e-14] [-1.61250081e-11 3.55431594e-08 -2.37277384e-14 2.06548605e-13 6.33021592e-16 3.21306656e-16] [-6.90486968e-13 -2.37277384e-14 3.54065670e-09 8.32361337e-15 3.05726785e-17 1.76852045e-17] [ 1.36495879e-11 2.06548605e-13 8.32361337e-15 2.78152865e-06 -3.88667977e-12 -1.75111903e-12] [ 3.02912629e-14 6.33021592e-16 3.05726785e-17 -3.88667977e-12 6.74804459e-09 -8.86950356e-15] [ 1.28289753e-14 3.21306656e-16 1.76852045e-17 -1.75111903e-12 -8.86950356e-15 7.06462849e-09]] LogLike[0140]=-3100.787942 sigma_a=0.262188 R: [[24.73230011 0.55697808] [ 0.55697808 25.85938118]] m0: [ 3.55554709 -1.80940563 0.12136607 -0.32096973 0.70995214 -0.68009805] V0: [[ 2.14890533e-06 -1.62157201e-11 -6.95850997e-13 1.37521803e-11 3.05379009e-14 1.29423802e-14] [-1.62157201e-11 3.55431566e-08 -2.39472537e-14 2.08230391e-13 6.38601343e-16 3.24371933e-16] [-6.95850997e-13 -2.39472537e-14 3.54065667e-09 8.39719488e-15 3.08643471e-17 1.78672028e-17] [ 1.37521803e-11 2.08230391e-13 8.39719488e-15 2.78152149e-06 -3.90832401e-12 -1.76467489e-12] [ 3.05379009e-14 6.38601343e-16 3.08643471e-17 -3.90832400e-12 6.74804449e-09 -8.95147548e-15] [ 1.29423802e-14 3.24371933e-16 1.78672028e-17 -1.76467489e-12 -8.95147548e-15 7.06462838e-09]] LogLike[0141]=-3100.727169 sigma_a=0.261359 R: [[24.73238003 0.55663791] [ 0.55663791 25.85969456]] m0: [ 3.55554668 -1.80940564 0.12136607 -0.32096955 0.70995215 -0.68009805] V0: [[ 2.14890089e-06 -1.63066279e-11 -7.01232547e-13 1.38548214e-11 3.07849178e-14 1.30560869e-14] [-1.63066279e-11 3.55431539e-08 -2.41677199e-14 2.09914761e-13 6.44195735e-16 3.27448686e-16] [-7.01232547e-13 -2.41677199e-14 3.54065664e-09 8.47097223e-15 3.11571076e-17 1.80500846e-17] [ 1.38548214e-11 2.09914761e-13 8.47097223e-15 2.78151432e-06 -3.93001481e-12 -1.77827494e-12] [ 3.07849178e-14 6.44195735e-16 3.11571076e-17 -3.93001481e-12 6.74804440e-09 -9.03380220e-15] [ 1.30560869e-14 3.27448686e-16 1.80500846e-17 -1.77827494e-12 -9.03380220e-15 7.06462828e-09]] LogLike[0142]=-3100.665602 sigma_a=0.260520 R: [[24.73245821 0.55629933] [ 0.55629933 25.86000973]] m0: [ 3.55554628 -1.80940566 0.12136607 -0.32096936 0.70995215 -0.68009805] V0: [[ 2.14889645e-06 -1.63977313e-11 -7.06631605e-13 1.39575111e-11 3.10323130e-14 1.31700951e-14] [-1.63977313e-11 3.55431511e-08 -2.43891375e-14 2.11601711e-13 6.49804756e-16 3.30536914e-16] [-7.06631605e-13 -2.43891375e-14 3.54065661e-09 8.54494524e-15 3.14509602e-17 1.82338510e-17] [ 1.39575111e-11 2.11601711e-13 8.54494524e-15 2.78150715e-06 -3.95175211e-12 -1.79191916e-12] [ 3.10323130e-14 6.49804756e-16 3.14509602e-17 -3.95175211e-12 6.74804430e-09 -9.11648385e-15] [ 1.31700951e-14 3.30536914e-16 1.82338510e-17 -1.79191916e-12 -9.11648385e-15 7.06462817e-09]] LogLike[0143]=-3100.604855 sigma_a=0.259692 R: [[24.73253612 0.55595602] [ 0.55595602 25.86033261]] m0: [ 3.55554588 -1.80940567 0.12136607 -0.32096918 0.70995215 -0.68009805] V0: [[ 2.14889200e-06 -1.64890335e-11 -7.12048497e-13 1.40602512e-11 3.12800959e-14 1.32844115e-14] [-1.64890335e-11 3.55431483e-08 -2.46115251e-14 2.13291305e-13 6.55428735e-16 3.33636874e-16] [-7.12048497e-13 -2.46115251e-14 3.54065659e-09 8.61911833e-15 3.17459291e-17 1.84185219e-17] [ 1.40602512e-11 2.13291305e-13 8.61911833e-15 2.78149996e-06 -3.97353671e-12 -1.80560837e-12] [ 3.12800959e-14 6.55428735e-16 3.17459291e-17 -3.97353671e-12 6.74804420e-09 -9.19952742e-15] [ 1.32844115e-14 3.33636874e-16 1.84185219e-17 -1.80560837e-12 -9.19952742e-15 7.06462806e-09]] LogLike[0144]=-3100.543150 sigma_a=0.258853 R: [[24.73261182 0.55561656] [ 0.55561656 25.86065521]] m0: [ 3.55554548 -1.80940568 0.12136607 -0.320969 0.70995215 -0.68009805] V0: [[ 2.14888754e-06 -1.65805328e-11 -7.17483080e-13 1.41630397e-11 3.15282586e-14 1.33990318e-14] [-1.65805328e-11 3.55431456e-08 -2.48348760e-14 2.14983489e-13 6.61067453e-16 3.36748428e-16] [-7.17483080e-13 -2.48348760e-14 3.54065656e-09 8.69348857e-15 3.20420013e-17 1.86040887e-17] [ 1.41630397e-11 2.14983489e-13 8.69348857e-15 2.78149277e-06 -3.99536818e-12 -1.81934222e-12] [ 3.15282586e-14 6.61067453e-16 3.20420013e-17 -3.99536818e-12 6.74804410e-09 -9.28293039e-15] [ 1.33990318e-14 3.36748428e-16 1.86040887e-17 -1.81934222e-12 -9.28293039e-15 7.06462795e-09]] LogLike[0145]=-3100.480465 sigma_a=0.258001 R: [[24.7326874 0.55527152] [ 0.55527152 25.86098652]] m0: [ 3.55554508 -1.8094057 0.12136607 -0.32096882 0.70995215 -0.68009805] V0: [[ 2.14888308e-06 -1.66722332e-11 -7.22935733e-13 1.42658793e-11 3.17768131e-14 1.35139641e-14] [-1.66722332e-11 3.55431428e-08 -2.50592118e-14 2.16678346e-13 6.66721316e-16 3.39871885e-16] [-7.22935733e-13 -2.50592118e-14 3.54065653e-09 8.76806139e-15 3.23392062e-17 1.87905753e-17] [ 1.42658793e-11 2.16678346e-13 8.76806139e-15 2.78148557e-06 -4.01724747e-12 -1.83312164e-12] [ 3.17768131e-14 6.66721316e-16 3.23392062e-17 -4.01724747e-12 6.74804401e-09 -9.36670082e-15] [ 1.35139641e-14 3.39871885e-16 1.87905753e-17 -1.83312164e-12 -9.36670082e-15 7.06462784e-09]] LogLike[0146]=-3100.421336 sigma_a=0.257198 R: [[24.73276289 0.55492049] [ 0.55492049 25.86132714]] m0: [ 3.55554468 -1.80940571 0.12136607 -0.32096864 0.70995215 -0.68009804] V0: [[ 2.14887862e-06 -1.67641388e-11 -7.28406845e-13 1.43687710e-11 3.20257674e-14 1.36292153e-14] [-1.67641388e-11 3.55431400e-08 -2.52845550e-14 2.18375928e-13 6.72390646e-16 3.43007510e-16] [-7.28406845e-13 -2.52845550e-14 3.54065650e-09 8.84284109e-15 3.26375689e-17 1.89780031e-17] [ 1.43687710e-11 2.18375928e-13 8.84284109e-15 2.78147836e-06 -4.03917555e-12 -1.84694762e-12] [ 3.20257674e-14 6.72390646e-16 3.26375689e-17 -4.03917555e-12 6.74804391e-09 -9.45084705e-15] [ 1.36292153e-14 3.43007510e-16 1.89780031e-17 -1.84694762e-12 -9.45084705e-15 7.06462773e-09]] LogLike[0147]=-3100.361685 sigma_a=0.256389 R: [[24.73283313 0.55458816] [ 0.55458816 25.86165299]] m0: [ 3.55554428 -1.80940572 0.12136607 -0.32096845 0.70995216 -0.68009804] V0: [[ 2.14887415e-06 -1.68562387e-11 -7.33895463e-13 1.44717071e-11 3.22750885e-14 1.37447632e-14] [-1.68562387e-11 3.55431372e-08 -2.55108544e-14 2.20076012e-13 6.78074371e-16 3.46154534e-16] [-7.33895463e-13 -2.55108544e-14 3.54065647e-09 8.91781337e-15 3.29370165e-17 1.91663164e-17] [ 1.44717071e-11 2.20076012e-13 8.91781337e-15 2.78147114e-06 -4.06114983e-12 -1.86081776e-12] [ 3.22750885e-14 6.78074370e-16 3.29370165e-17 -4.06114983e-12 6.74804381e-09 -9.53535004e-15] [ 1.37447632e-14 3.46154534e-16 1.91663164e-17 -1.86081776e-12 -9.53535004e-15 7.06462762e-09]] LogLike[0148]=-3100.301511 sigma_a=0.255573 R: [[24.73290265 0.55425307] [ 0.55425307 25.86198485]] m0: [ 3.55554388 -1.80940574 0.12136607 -0.32096827 0.70995216 -0.68009804] V0: [[ 2.14886968e-06 -1.69485356e-11 -7.39401836e-13 1.45746925e-11 3.25247912e-14 1.38606166e-14] [-1.69485356e-11 3.55431343e-08 -2.57381249e-14 2.21778699e-13 6.83772919e-16 3.49313256e-16] [-7.39401836e-13 -2.57381249e-14 3.54065645e-09 8.99298395e-15 3.32375770e-17 1.93555368e-17] [ 1.45746925e-11 2.21778699e-13 8.99298395e-15 2.78146392e-06 -4.08317094e-12 -1.87473268e-12] [ 3.25247912e-14 6.83772919e-16 3.32375770e-17 -4.08317094e-12 6.74804371e-09 -9.62021526e-15] [ 1.38606166e-14 3.49313256e-16 1.93555368e-17 -1.87473268e-12 -9.62021526e-15 7.06462751e-09]] LogLike[0149]=-3100.240111 sigma_a=0.254742 R: [[24.73297161 0.55391456] [ 0.55391456 25.86232349]] m0: [ 3.55554349 -1.80940575 0.12136607 -0.32096809 0.70995216 -0.68009804] V0: [[ 2.14886520e-06 -1.70410320e-11 -7.44926217e-13 1.46777278e-11 3.27748807e-14 1.39767799e-14] [-1.70410320e-11 3.55431315e-08 -2.59663811e-14 2.23484024e-13 6.89486500e-16 3.52483850e-16] [-7.44926217e-13 -2.59663811e-14 3.54065642e-09 9.06835562e-15 3.35392673e-17 1.95456788e-17] [ 1.46777278e-11 2.23484024e-13 9.06835562e-15 2.78145668e-06 -4.10523948e-12 -1.88869303e-12] [ 3.27748807e-14 6.89486500e-16 3.35392673e-17 -4.10523948e-12 6.74804361e-09 -9.70544825e-15] [ 1.39767799e-14 3.52483850e-16 1.95456788e-17 -1.88869303e-12 -9.70544825e-15 7.06462739e-09]] LogLike[0150]=-3100.181460 sigma_a=0.253949 R: [[24.73304073 0.55356875] [ 0.55356875 25.862673 ]] m0: [ 3.55554309 -1.80940576 0.12136607 -0.32096791 0.70995216 -0.68009804] V0: [[ 2.14886071e-06 -1.71337329e-11 -7.50469076e-13 1.47808149e-11 3.30253682e-14 1.40932618e-14] [-1.71337329e-11 3.55431287e-08 -2.61956500e-14 2.25192063e-13 6.95215538e-16 3.55666655e-16] [-7.50469076e-13 -2.61956500e-14 3.54065639e-09 9.14393405e-15 3.38421197e-17 1.97367696e-17] [ 1.47808149e-11 2.25192063e-13 9.14393405e-15 2.78144944e-06 -4.12735663e-12 -1.90269997e-12] [ 3.30253682e-14 6.95215538e-16 3.38421197e-17 -4.12735663e-12 6.74804351e-09 -9.79105900e-15] [ 1.40932618e-14 3.55666655e-16 1.97367696e-17 -1.90269997e-12 -9.79105900e-15 7.06462728e-09]] LogLike[0151]=-3100.122629 sigma_a=0.253154 R: [[24.7331058 0.55323729] [ 0.55323729 25.86301145]] m0: [ 3.55554269 -1.80940577 0.12136607 -0.32096772 0.70995216 -0.68009804] V0: [[ 2.14885622e-06 -1.72266300e-11 -7.56029680e-13 1.48839473e-11 3.32762270e-14 1.42100447e-14] [-1.72266300e-11 3.55431258e-08 -2.64258925e-14 2.26902634e-13 7.00959177e-16 3.58861063e-16] [-7.56029680e-13 -2.64258925e-14 3.54065636e-09 9.21970783e-15 3.41460762e-17 1.99287651e-17] [ 1.48839473e-11 2.26902634e-13 9.21970783e-15 2.78144219e-06 -4.14952042e-12 -1.91675167e-12] [ 3.32762270e-14 7.00959177e-16 3.41460762e-17 -4.14952042e-12 6.74804341e-09 -9.87703291e-15] [ 1.42100447e-14 3.58861063e-16 1.99287651e-17 -1.91675167e-12 -9.87703291e-15 7.06462717e-09]] LogLike[0152]=-3100.062307 sigma_a=0.252340 R: [[24.73316985 0.55290478] [ 0.55290478 25.86335433]] m0: [ 3.5555423 -1.80940579 0.12136607 -0.32096754 0.70995216 -0.68009804] V0: [[ 2.14885173e-06 -1.73197247e-11 -7.61608181e-13 1.49871285e-11 3.35274670e-14 1.43271344e-14] [-1.73197247e-11 3.55431230e-08 -2.66571178e-14 2.28615805e-13 7.06717701e-16 3.62067272e-16] [-7.61608181e-13 -2.66571178e-14 3.54065633e-09 9.29568073e-15 3.44511556e-17 2.01216800e-17] [ 1.49871285e-11 2.28615805e-13 9.29568073e-15 2.78143494e-06 -4.17173117e-12 -1.93084850e-12] [ 3.35274670e-14 7.06717701e-16 3.44511556e-17 -4.17173117e-12 6.74804331e-09 -9.96337345e-15] [ 1.43271344e-14 3.62067272e-16 2.01216800e-17 -1.93084850e-12 -9.96337345e-15 7.06462705e-09]] LogLike[0153]=-3100.000912 sigma_a=0.251512 R: [[24.73323431 0.55256356] [ 0.55256356 25.86370974]] m0: [ 3.55554191 -1.8094058 0.12136607 -0.32096736 0.70995216 -0.68009804] V0: [[ 2.14884723e-06 -1.74130230e-11 -7.67205132e-13 1.50903613e-11 3.37791031e-14 1.44445419e-14] [-1.74130230e-11 3.55431201e-08 -2.68893574e-14 2.30331677e-13 7.12491645e-16 3.65285701e-16] [-7.67205132e-13 -2.68893574e-14 3.54065630e-09 9.37185992e-15 3.47573978e-17 2.03155472e-17] [ 1.50903613e-11 2.30331677e-13 9.37185992e-15 2.78142767e-06 -4.19399031e-12 -1.94499187e-12] [ 3.37791031e-14 7.12491646e-16 3.47573978e-17 -4.19399031e-12 6.74804321e-09 -1.00500924e-14] [ 1.44445419e-14 3.65285701e-16 2.03155472e-17 -1.94499187e-12 -1.00500924e-14 7.06462694e-09]] LogLike[0154]=-3099.943974 sigma_a=0.250745 R: [[24.73329875 0.55221567] [ 0.55221567 25.86407583]] m0: [ 3.55554151 -1.80940581 0.12136607 -0.32096717 0.70995217 -0.68009804] V0: [[ 2.14884273e-06 -1.75065294e-11 -7.72820968e-13 1.51936463e-11 3.40311428e-14 1.45622741e-14] [-1.75065294e-11 3.55431172e-08 -2.71226364e-14 2.32050302e-13 7.18281339e-16 3.68516630e-16] [-7.72820968e-13 -2.71226364e-14 3.54065627e-09 9.44824981e-15 3.50648295e-17 2.05103898e-17] [ 1.51936463e-11 2.32050302e-13 9.44824981e-15 2.78142040e-06 -4.21629891e-12 -1.95918285e-12] [ 3.40311428e-14 7.18281340e-16 3.50648295e-17 -4.21629891e-12 6.74804311e-09 -1.01371990e-14] [ 1.45622741e-14 3.68516630e-16 2.05103898e-17 -1.95918285e-12 -1.01371990e-14 7.06462682e-09]] LogLike[0155]=-3099.886895 sigma_a=0.249977 R: [[24.73335768 0.55189164] [ 0.55189164 25.86442026]] m0: [ 3.55554112 -1.80940583 0.12136607 -0.32096699 0.70995217 -0.68009804] V0: [[ 2.14883822e-06 -1.76002296e-11 -7.78454411e-13 1.52969739e-11 3.42835436e-14 1.46803020e-14] [-1.76002296e-11 3.55431143e-08 -2.73568855e-14 2.33771389e-13 7.24085375e-16 3.71759032e-16] [-7.78454411e-13 -2.73568855e-14 3.54065624e-09 9.52483160e-15 3.53733530e-17 2.07061322e-17] [ 1.52969739e-11 2.33771389e-13 9.52483160e-15 2.78141312e-06 -4.23865354e-12 -1.97341824e-12] [ 3.42835436e-14 7.24085375e-16 3.53733530e-17 -4.23865354e-12 6.74804300e-09 -1.02246675e-14] [ 1.46803020e-14 3.71759032e-16 2.07061322e-17 -1.97341824e-12 -1.02246675e-14 7.06462671e-09]] LogLike[0156]=-3099.829885 sigma_a=0.249210 R: [[24.73341555 0.55156705] [ 0.55156705 25.86476858]] m0: [ 3.55554073 -1.80940584 0.12136607 -0.32096681 0.70995217 -0.68009804] V0: [[ 2.14883371e-06 -1.76941248e-11 -7.84105599e-13 1.54003491e-11 3.45363194e-14 1.47986332e-14] [-1.76941249e-11 3.55431115e-08 -2.75921134e-14 2.35495034e-13 7.29904125e-16 3.75013154e-16] [-7.84105599e-13 -2.75921134e-14 3.54065622e-09 9.60161026e-15 3.56829918e-17 2.09027918e-17] [ 1.54003491e-11 2.35495034e-13 9.60161026e-15 2.78140583e-06 -4.26105455e-12 -1.98769837e-12] [ 3.45363194e-14 7.29904126e-16 3.56829918e-17 -4.26105455e-12 6.74804290e-09 -1.03125011e-14] [ 1.47986332e-14 3.75013154e-16 2.09027918e-17 -1.98769837e-12 -1.03125011e-14 7.06462659e-09]] LogLike[0157]=-3099.772170 sigma_a=0.248434 R: [[24.73347234 0.55124237] [ 0.55124237 25.86512036]] m0: [ 3.55554034 -1.80940585 0.12136607 -0.32096663 0.70995217 -0.68009804] V0: [[ 2.14882919e-06 -1.77882158e-11 -7.89774605e-13 1.55037718e-11 3.47894711e-14 1.49172687e-14] [-1.77882158e-11 3.55431086e-08 -2.78283249e-14 2.37221242e-13 7.35737637e-16 3.78279047e-16] [-7.89774605e-13 -2.78283249e-14 3.54065619e-09 9.67858639e-15 3.59937506e-17 2.11003736e-17] [ 1.55037718e-11 2.37221242e-13 9.67858639e-15 2.78139854e-06 -4.28350205e-12 -2.00202342e-12] [ 3.47894711e-14 7.35737637e-16 3.59937506e-17 -4.28350205e-12 6.74804280e-09 -1.04007016e-14] [ 1.49172687e-14 3.78279047e-16 2.11003736e-17 -2.00202342e-12 -1.04007016e-14 7.06462647e-09]] LogLike[0158]=-3099.717387 sigma_a=0.247699 R: [[24.73352877 0.55091329] [ 0.55091329 25.86548034]] m0: [ 3.55553995 -1.80940586 0.12136607 -0.32096644 0.70995217 -0.68009804] V0: [[ 2.14882467e-06 -1.78825058e-11 -7.95461746e-13 1.56072437e-11 3.50430067e-14 1.50362147e-14] [-1.78825058e-11 3.55431056e-08 -2.80655388e-14 2.38950069e-13 7.41586211e-16 3.81556952e-16] [-7.95461746e-13 -2.80655388e-14 3.54065616e-09 9.75576404e-15 3.63056524e-17 2.12988971e-17] [ 1.56072437e-11 2.38950069e-13 9.75576404e-15 2.78139124e-06 -4.30599683e-12 -2.01639421e-12] [ 3.50430067e-14 7.41586211e-16 3.63056524e-17 -4.30599683e-12 6.74804270e-09 -1.04892759e-14] [ 1.50362147e-14 3.81556952e-16 2.12988971e-17 -2.01639421e-12 -1.04892759e-14 7.06462636e-09]] LogLike[0159]=-3099.657764 sigma_a=0.246899 R: [[24.73358152 0.55059987] [ 0.55059987 25.86582648]] m0: [ 3.55553956 -1.80940588 0.12136607 -0.32096626 0.70995217 -0.68009804] V0: [[ 2.14882014e-06 -1.79769855e-11 -8.01166190e-13 1.57107584e-11 3.52968982e-14 1.51554522e-14] [-1.79769855e-11 3.55431027e-08 -2.83037100e-14 2.40681323e-13 7.47448926e-16 3.84846198e-16] [-8.01166190e-13 -2.83037100e-14 3.54065613e-09 9.83313089e-15 3.66186336e-17 2.14983130e-17] [ 1.57107584e-11 2.40681323e-13 9.83313089e-15 2.78138393e-06 -4.32853666e-12 -2.03080861e-12] [ 3.52968982e-14 7.47448926e-16 3.66186336e-17 -4.32853666e-12 6.74804259e-09 -1.05782073e-14] [ 1.51554522e-14 3.84846198e-16 2.14983130e-17 -2.03080861e-12 -1.05782073e-14 7.06462624e-09]] LogLike[0160]=-3099.603004 sigma_a=0.246166 R: [[24.73363758 0.55025955] [ 0.55025955 25.86620588]] m0: [ 3.55553917 -1.80940589 0.12136607 -0.32096608 0.70995218 -0.68009804] V0: [[ 2.14881561e-06 -1.80716724e-11 -8.06889570e-13 1.58143286e-11 3.55512002e-14 1.52750187e-14] [-1.80716724e-11 3.55430998e-08 -2.85429298e-14 2.42415376e-13 7.53327600e-16 3.88148139e-16] [-8.06889570e-13 -2.85429298e-14 3.54065610e-09 9.91071123e-15 3.69328227e-17 2.16987236e-17] [ 1.58143286e-11 2.42415376e-13 9.91071123e-15 2.78137661e-06 -4.35112577e-12 -2.04527077e-12] [ 3.55512002e-14 7.53327600e-16 3.69328227e-17 -4.35112577e-12 6.74804249e-09 -1.06675299e-14] [ 1.52750187e-14 3.88148139e-16 2.16987236e-17 -2.04527077e-12 -1.06675299e-14 7.06462612e-09]] LogLike[0161]=-3099.543649 sigma_a=0.245371 R: [[24.73368846 0.54994499] [ 0.54994499 25.86656 ]] m0: [ 3.55553879 -1.8094059 0.12136607 -0.32096589 0.70995218 -0.68009804] V0: [[ 2.14881107e-06 -1.81665506e-11 -8.12630434e-13 1.59179398e-11 3.58058558e-14 1.53948771e-14] [-1.81665506e-11 3.55430969e-08 -2.87831190e-14 2.44151841e-13 7.59220431e-16 3.91461487e-16] [-8.12630434e-13 -2.87831190e-14 3.54065607e-09 9.98848101e-15 3.72480973e-17 2.19000348e-17] [ 1.59179398e-11 2.44151841e-13 9.98848101e-15 2.78136928e-06 -4.37376028e-12 -2.05977700e-12] [ 3.58058558e-14 7.59220431e-16 3.72480973e-17 -4.37376028e-12 6.74804239e-09 -1.07572139e-14] [ 1.53948771e-14 3.91461487e-16 2.19000348e-17 -2.05977700e-12 -1.07572139e-14 7.06462600e-09]] LogLike[0162]=-3099.487538 sigma_a=0.244620 R: [[24.73374222 0.5496051 ] [ 0.5496051 25.86694625]] m0: [ 3.5555384 -1.80940591 0.12136607 -0.32096571 0.70995218 -0.68009804] V0: [[ 2.14880653e-06 -1.82616370e-11 -8.18390353e-13 1.60216062e-11 3.60609223e-14 1.55150657e-14] [-1.82616370e-11 3.55430939e-08 -2.90243656e-14 2.45891108e-13 7.65129284e-16 3.94787611e-16] [-8.18390353e-13 -2.90243656e-14 3.54065603e-09 1.00664651e-14 3.75645877e-17 2.21023495e-17] [ 1.60216062e-11 2.45891108e-13 1.00664651e-14 2.78136195e-06 -4.39644427e-12 -2.07433127e-12] [ 3.60609223e-14 7.65129284e-16 3.75645877e-17 -4.39644427e-12 6.74804228e-09 -1.08472924e-14] [ 1.55150657e-14 3.94787611e-16 2.21023495e-17 -2.07433127e-12 -1.08472924e-14 7.06462588e-09]] LogLike[0163]=-3099.432038 sigma_a=0.243878 R: [[24.73379233 0.54928204] [ 0.54928204 25.86731696]] m0: [ 3.55553801 -1.80940593 0.12136607 -0.32096553 0.70995218 -0.68009803] V0: [[ 2.14880198e-06 -1.83569211e-11 -8.24168383e-13 1.61253168e-11 3.63163586e-14 1.56355586e-14] [-1.83569211e-11 3.55430910e-08 -2.92666184e-14 2.47632897e-13 7.71052893e-16 3.98125625e-16] [-8.24168383e-13 -2.92666184e-14 3.54065600e-09 1.01446467e-14 3.78822094e-17 2.23056038e-17] [ 1.61253168e-11 2.47632897e-13 1.01446467e-14 2.78135461e-06 -4.41917519e-12 -2.08893120e-12] [ 3.63163586e-14 7.71052893e-16 3.78822094e-17 -4.41917519e-12 6.74804218e-09 -1.09377462e-14] [ 1.56355586e-14 3.98125625e-16 2.23056038e-17 -2.08893120e-12 -1.09377462e-14 7.06462576e-09]] LogLike[0164]=-3099.379193 sigma_a=0.243173 R: [[24.73384087 0.54896241] [ 0.54896241 25.86768717]] m0: [ 3.55553763 -1.80940594 0.12136607 -0.32096534 0.70995218 -0.68009803] V0: [[ 2.14879743e-06 -1.84524015e-11 -8.29964422e-13 1.62290738e-11 3.65721684e-14 1.57563569e-14] [-1.84524015e-11 3.55430880e-08 -2.95098728e-14 2.49377234e-13 7.76991316e-16 4.01475550e-16] [-8.29964422e-13 -2.95098728e-14 3.54065597e-09 1.02230265e-14 3.82009647e-17 2.25097988e-17] [ 1.62290738e-11 2.49377234e-13 1.02230265e-14 2.78134726e-06 -4.44195275e-12 -2.10357653e-12] [ 3.65721684e-14 7.76991316e-16 3.82009647e-17 -4.44195275e-12 6.74804207e-09 -1.10285734e-14] [ 1.57563569e-14 4.01475550e-16 2.25097988e-17 -2.10357653e-12 -1.10285734e-14 7.06462564e-09]] LogLike[0165]=-3099.324130 sigma_a=0.242438 R: [[24.73388631 0.54865726] [ 0.54865726 25.86804383]] m0: [ 3.55553725 -1.80940595 0.12136607 -0.32096516 0.70995218 -0.68009803] V0: [[ 2.14879287e-06 -1.85480697e-11 -8.35777697e-13 1.63328729e-11 3.68283295e-14 1.58774446e-14] [-1.85480697e-11 3.55430850e-08 -2.97540867e-14 2.51123966e-13 7.82943778e-16 4.04836807e-16] [-8.35777697e-13 -2.97540867e-14 3.54065594e-09 1.03015942e-14 3.85207982e-17 2.27148910e-17] [ 1.63328729e-11 2.51123966e-13 1.03015942e-14 2.78133990e-06 -4.46477487e-12 -2.11826530e-12] [ 3.68283295e-14 7.82943778e-16 3.85207982e-17 -4.46477487e-12 6.74804197e-09 -1.11197586e-14] [ 1.58774446e-14 4.04836807e-16 2.27148910e-17 -2.11826530e-12 -1.11197586e-14 7.06462551e-09]] LogLike[0166]=-3099.271904 sigma_a=0.241741 R: [[24.7339326 0.54833964] [ 0.54833964 25.86841837]] m0: [ 3.55553686 -1.80940596 0.12136607 -0.32096497 0.70995218 -0.68009803] V0: [[ 2.14878831e-06 -1.86439342e-11 -8.41609026e-13 1.64367213e-11 3.70848716e-14 1.59988418e-14] [-1.86439342e-11 3.55430820e-08 -2.99993066e-14 2.52873297e-13 7.88911253e-16 4.08210117e-16] [-8.41609026e-13 -2.99993066e-14 3.54065591e-09 1.03803627e-14 3.88417787e-17 2.29209353e-17] [ 1.64367213e-11 2.52873297e-13 1.03803627e-14 2.78133254e-06 -4.48764365e-12 -2.13299959e-12] [ 3.70848716e-14 7.88911252e-16 3.88417787e-17 -4.48764365e-12 6.74804186e-09 -1.12113189e-14] [ 1.59988418e-14 4.08210117e-16 2.29209353e-17 -2.13299959e-12 -1.12113189e-14 7.06462539e-09]] LogLike[0167]=-3099.216682 sigma_a=0.241006 R: [[24.73397584 0.54803712] [ 0.54803712 25.86877835]] m0: [ 3.55553648 -1.80940597 0.12136607 -0.32096479 0.70995219 -0.68009803] V0: [[ 2.14878374e-06 -1.87399859e-11 -8.47457565e-13 1.65406113e-11 3.73417629e-14 1.61205275e-14] [-1.87399859e-11 3.55430790e-08 -3.02454866e-14 2.54625010e-13 7.94892720e-16 4.11594747e-16] [-8.47457565e-13 -3.02454866e-14 3.54065588e-09 1.04593184e-14 3.91638365e-17 2.31278779e-17] [ 1.65406113e-11 2.54625010e-13 1.04593184e-14 2.78132517e-06 -4.51055684e-12 -2.14777725e-12] [ 3.73417629e-14 7.94892719e-16 3.91638365e-17 -4.51055684e-12 6.74804176e-09 -1.13032372e-14] [ 1.61205275e-14 4.11594747e-16 2.31278779e-17 -2.14777725e-12 -1.13032372e-14 7.06462527e-09]] LogLike[0168]=-3099.162756 sigma_a=0.240288 R: [[24.7340205 0.54771774] [ 0.54771774 25.86916176]] m0: [ 3.5555361 -1.80940599 0.12136607 -0.32096461 0.70995219 -0.68009803] V0: [[ 2.14877917e-06 -1.88362361e-11 -8.53324398e-13 1.66445521e-11 3.75990413e-14 1.62425275e-14] [-1.88362361e-11 3.55430760e-08 -3.04926880e-14 2.56379362e-13 8.00889431e-16 4.14991629e-16] [-8.53324398e-13 -3.04926880e-14 3.54065585e-09 1.05384781e-14 3.94870601e-17 2.33357897e-17] [ 1.66445521e-11 2.56379362e-13 1.05384781e-14 2.78131779e-06 -4.53351721e-12 -2.16260103e-12] [ 3.75990413e-14 8.00889430e-16 3.94870601e-17 -4.53351721e-12 6.74804165e-09 -1.13955365e-14] [ 1.62425275e-14 4.14991629e-16 2.33357897e-17 -2.16260103e-12 -1.13955365e-14 7.06462514e-09]] LogLike[0169]=-3099.109441 sigma_a=0.239579 R: [[24.73406338 0.54740466] [ 0.54740466 25.86954104]] m0: [ 3.55553572 -1.809406 0.12136607 -0.32096442 0.70995219 -0.68009803] V0: [[ 2.14877460e-06 -1.89326812e-11 -8.59209191e-13 1.67485378e-11 3.78566876e-14 1.63648303e-14] [-1.89326812e-11 3.55430730e-08 -3.07408932e-14 2.58136223e-13 8.06900834e-16 4.18400395e-16] [-8.59209191e-13 -3.07408932e-14 3.54065582e-09 1.06178344e-14 3.98114146e-17 2.35446454e-17] [ 1.67485378e-11 2.58136223e-13 1.06178344e-14 2.78131040e-06 -4.55652383e-12 -2.17747007e-12] [ 3.78566876e-14 8.06900834e-16 3.98114146e-17 -4.55652383e-12 6.74804155e-09 -1.14882101e-14] [ 1.63648303e-14 4.18400395e-16 2.35446454e-17 -2.17747007e-12 -1.14882101e-14 7.06462502e-09]] LogLike[0170]=-3099.052555 sigma_a=0.238822 R: [[24.73410493 0.54709474] [ 0.54709474 25.86991985]] m0: [ 3.55553534 -1.80940601 0.12136607 -0.32096424 0.70995219 -0.68009803] V0: [[ 2.14877002e-06 -1.90293197e-11 -8.65111832e-13 1.68525688e-11 3.81147004e-14 1.64874348e-14] [-1.90293197e-11 3.55430700e-08 -3.09900970e-14 2.59895584e-13 8.12926865e-16 4.21820997e-16] [-8.65111832e-13 -3.09900970e-14 3.54065579e-09 1.06973865e-14 4.01368954e-17 2.37544417e-17] [ 1.68525688e-11 2.59895584e-13 1.06973865e-14 2.78130301e-06 -4.57957636e-12 -2.19238410e-12] [ 3.81147004e-14 8.12926865e-16 4.01368954e-17 -4.57957636e-12 6.74804144e-09 -1.15812560e-14] [ 1.64874348e-14 4.21820997e-16 2.37544417e-17 -2.19238410e-12 -1.15812560e-14 7.06462489e-09]] LogLike[0171]=-3098.998518 sigma_a=0.238105 R: [[24.73414822 0.54676424] [ 0.54676424 25.87032749]] m0: [ 3.55553496 -1.80940602 0.12136607 -0.32096405 0.70995219 -0.68009803] V0: [[ 2.14876543e-06 -1.91261655e-11 -8.71033621e-13 1.69566531e-11 3.83731179e-14 1.66103683e-14] [-1.91261655e-11 3.55430670e-08 -3.12403731e-14 2.61657706e-13 8.18968859e-16 4.25254461e-16] [-8.71033621e-13 -3.12403731e-14 3.54065575e-09 1.07771521e-14 4.04636002e-17 2.39652582e-17] [ 1.69566531e-11 2.61657706e-13 1.07771521e-14 2.78129561e-06 -4.60267811e-12 -2.20734639e-12] [ 3.83731179e-14 8.18968859e-16 4.04636002e-17 -4.60267811e-12 6.74804133e-09 -1.16747019e-14] [ 1.66103683e-14 4.25254461e-16 2.39652582e-17 -2.20734639e-12 -1.16747019e-14 7.06462477e-09]] LogLike[0172]=-3098.946369 sigma_a=0.237413 R: [[24.73418868 0.54644874] [ 0.54644874 25.87072026]] m0: [ 3.55553458 -1.80940604 0.12136607 -0.32096387 0.70995219 -0.68009803] V0: [[ 2.14876084e-06 -1.92232090e-11 -8.76973697e-13 1.70607811e-11 3.86319039e-14 1.67336077e-14] [-1.92232090e-11 3.55430639e-08 -3.14916744e-14 2.63422340e-13 8.25025685e-16 4.28699985e-16] [-8.76973697e-13 -3.14916744e-14 3.54065572e-09 1.08571162e-14 4.07914525e-17 2.41770367e-17] [ 1.70607811e-11 2.63422340e-13 1.08571162e-14 2.78128820e-06 -4.62582680e-12 -2.22235477e-12] [ 3.86319039e-14 8.25025686e-16 4.07914525e-17 -4.62582680e-12 6.74804123e-09 -1.17685301e-14] [ 1.67336077e-14 4.28699985e-16 2.41770367e-17 -2.22235477e-12 -1.17685301e-14 7.06462464e-09]] LogLike[0173]=-3098.891011 sigma_a=0.236679 R: [[24.73422693 0.54614388] [ 0.54614388 25.87110311]] m0: [ 3.5555342 -1.80940605 0.12136607 -0.32096368 0.7099522 -0.68009803] V0: [[ 2.14875625e-06 -1.93204442e-11 -8.82931513e-13 1.71649521e-11 3.88910486e-14 1.68571445e-14] [-1.93204442e-11 3.55430609e-08 -3.17439713e-14 2.65189420e-13 8.31096934e-16 4.32157239e-16] [-8.82931513e-13 -3.17439713e-14 3.54065569e-09 1.09372733e-14 4.11204210e-17 2.43897512e-17] [ 1.71649521e-11 2.65189420e-13 1.09372733e-14 2.78128078e-06 -4.64902096e-12 -2.23740784e-12] [ 3.88910486e-14 8.31096934e-16 4.11204210e-17 -4.64902096e-12 6.74804112e-09 -1.18627295e-14] [ 1.68571445e-14 4.32157239e-16 2.43897512e-17 -2.23740784e-12 -1.18627295e-14 7.06462451e-09]] LogLike[0174]=-3098.837766 sigma_a=0.235973 R: [[24.73426651 0.54582063] [ 0.54582063 25.87151265]] m0: [ 3.55553383 -1.80940606 0.12136607 -0.3209635 0.7099522 -0.68009803] V0: [[ 2.14875165e-06 -1.94178837e-11 -8.88908262e-13 1.72691750e-11 3.91505905e-14 1.69810056e-14] [-1.94178837e-11 3.55430578e-08 -3.19973318e-14 2.66959209e-13 8.37183917e-16 4.35627214e-16] [-8.88908262e-13 -3.19973318e-14 3.54065566e-09 1.10176410e-14 4.14506001e-17 2.46034783e-17] [ 1.72691750e-11 2.66959209e-13 1.10176410e-14 2.78127336e-06 -4.67226363e-12 -2.25250864e-12] [ 3.91505905e-14 8.37183917e-16 4.14506001e-17 -4.67226363e-12 6.74804101e-09 -1.19573255e-14] [ 1.69810056e-14 4.35627214e-16 2.46034783e-17 -2.25250864e-12 -1.19573255e-14 7.06462439e-09]] LogLike[0175]=-3098.780985 sigma_a=0.235221 R: [[24.73430394 0.54550834] [ 0.54550834 25.87191189]] m0: [ 3.55553345 -1.80940607 0.12136607 -0.32096331 0.7099522 -0.68009803] V0: [[ 2.14874705e-06 -1.95155205e-11 -8.94903318e-13 1.73734421e-11 3.94105013e-14 1.71051733e-14] [-1.95155205e-11 3.55430548e-08 -3.22517217e-14 2.68731514e-13 8.43285765e-16 4.39109303e-16] [-8.94903318e-13 -3.22517217e-14 3.54065562e-09 1.10982076e-14 4.17819320e-17 2.48181742e-17] [ 1.73734421e-11 2.68731514e-13 1.10982076e-14 2.78126592e-06 -4.69555314e-12 -2.26765557e-12] [ 3.94105013e-14 8.43285765e-16 4.17819320e-17 -4.69555314e-12 6.74804090e-09 -1.20523053e-14] [ 1.71051733e-14 4.39109303e-16 2.48181742e-17 -2.26765557e-12 -1.20523053e-14 7.06462426e-09]] LogLike[0176]=-3098.730013 sigma_a=0.234547 R: [[24.73434281 0.54517569] [ 0.54517569 25.87234098]] m0: [ 3.55553308 -1.80940608 0.12136607 -0.32096313 0.7099522 -0.68009803] V0: [[ 2.14874244e-06 -1.96133688e-11 -9.00918008e-13 1.74777630e-11 3.96708233e-14 1.72296773e-14] [-1.96133688e-11 3.55430517e-08 -3.25072167e-14 2.70506625e-13 8.49403926e-16 4.42604607e-16] [-9.00918008e-13 -3.25072167e-14 3.54065559e-09 1.11789924e-14 4.21145213e-17 2.50339240e-17] [ 1.74777630e-11 2.70506625e-13 1.11789924e-14 2.78125848e-06 -4.71889284e-12 -2.28285198e-12] [ 3.96708233e-14 8.49403926e-16 4.21145213e-17 -4.71889284e-12 6.74804079e-09 -1.21476973e-14] [ 1.72296773e-14 4.42604607e-16 2.50339240e-17 -2.28285198e-12 -1.21476973e-14 7.06462413e-09]] LogLike[0177]=-3098.680744 sigma_a=0.233895 R: [[24.73437721 0.54487508] [ 0.54487508 25.87273225]] m0: [ 3.5555327 -1.8094061 0.12136607 -0.32096294 0.7099522 -0.68009803] V0: [[ 2.14873782e-06 -1.97114076e-11 -9.06950413e-13 1.75821219e-11 3.99314903e-14 1.73544724e-14] [-1.97114076e-11 3.55430486e-08 -3.27637100e-14 2.72284087e-13 8.55536198e-16 4.46111499e-16] [-9.06950413e-13 -3.27637100e-14 3.54065556e-09 1.12599662e-14 4.24482134e-17 2.52506051e-17] [ 1.75821219e-11 2.72284087e-13 1.12599662e-14 2.78125104e-06 -4.74227774e-12 -2.29809302e-12] [ 3.99314903e-14 8.55536198e-16 4.24482134e-17 -4.74227774e-12 6.74804069e-09 -1.22434614e-14] [ 1.73544724e-14 4.46111499e-16 2.52506051e-17 -2.29809302e-12 -1.22434614e-14 7.06462400e-09]] LogLike[0178]=-3098.628147 sigma_a=0.233200 R: [[24.73440967 0.54458467] [ 0.54458467 25.87311336]] m0: [ 3.55553233 -1.80940611 0.12136607 -0.32096276 0.7099522 -0.68009802] V0: [[ 2.14873321e-06 -1.98096314e-11 -9.13000028e-13 1.76865220e-11 4.01925021e-14 1.74795550e-14] [-1.98096314e-11 3.55430455e-08 -3.30211740e-14 2.74063901e-13 8.61682414e-16 4.49629792e-16] [-9.13000028e-13 -3.30211740e-14 3.54065553e-09 1.13411266e-14 4.27829904e-17 2.54682009e-17] [ 1.76865220e-11 2.74063901e-13 1.13411266e-14 2.78124358e-06 -4.76570651e-12 -2.31337742e-12] [ 4.01925021e-14 8.61682414e-16 4.27829904e-17 -4.76570651e-12 6.74804058e-09 -1.23395875e-14] [ 1.74795550e-14 4.49629792e-16 2.54682009e-17 -2.31337742e-12 -1.23395875e-14 7.06462387e-09]] LogLike[0179]=-3098.575475 sigma_a=0.232505 R: [[24.73444344 0.54427504] [ 0.54427504 25.87352306]] m0: [ 3.55553196 -1.80940612 0.12136607 -0.32096257 0.7099522 -0.68009802] V0: [[ 2.14872858e-06 -1.99080534e-11 -9.19068111e-13 1.77909722e-11 4.04538988e-14 1.76049533e-14] [-1.99080534e-11 3.55430424e-08 -3.32796807e-14 2.75846340e-13 8.67843948e-16 4.53160531e-16] [-9.19068111e-13 -3.32796807e-14 3.54065549e-09 1.14224919e-14 4.31189517e-17 2.56867924e-17] [ 1.77909722e-11 2.75846340e-13 1.14224919e-14 2.78123612e-06 -4.78918235e-12 -2.32870836e-12] [ 4.04538988e-14 8.67843948e-16 4.31189517e-17 -4.78918235e-12 6.74804047e-09 -1.24361023e-14] [ 1.76049533e-14 4.53160531e-16 2.56867924e-17 -2.32870836e-12 -1.24361023e-14 7.06462374e-09]] LogLike[0180]=-3098.524574 sigma_a=0.231833 R: [[24.7344766 0.54396392] [ 0.54396392 25.8739383 ]] m0: [ 3.55553159 -1.80940613 0.12136607 -0.32096239 0.70995221 -0.68009802] V0: [[ 2.14872396e-06 -2.00066749e-11 -9.25154788e-13 1.78954691e-11 4.07156735e-14 1.77306651e-14] [-2.00066749e-11 3.55430393e-08 -3.35392381e-14 2.77631357e-13 8.74020681e-16 4.56703684e-16] [-9.25154788e-13 -3.35392381e-14 3.54065546e-09 1.15040607e-14 4.34560944e-17 2.59063801e-17] [ 1.78954691e-11 2.77631357e-13 1.15040607e-14 2.78122865e-06 -4.81270550e-12 -2.34408615e-12] [ 4.07156735e-14 8.74020681e-16 4.34560944e-17 -4.81270550e-12 6.74804036e-09 -1.25330090e-14] [ 1.77306651e-14 4.56703684e-16 2.59063801e-17 -2.34408615e-12 -1.25330090e-14 7.06462361e-09]] LogLike[0181]=-3098.471648 sigma_a=0.231135 R: [[24.73450799 0.54366242] [ 0.54366242 25.87434414]] m0: [ 3.55553122 -1.80940614 0.12136607 -0.3209622 0.70995221 -0.68009802] V0: [[ 2.14871932e-06 -2.01054899e-11 -9.31259527e-13 1.80000091e-11 4.09778089e-14 1.78566784e-14] [-2.01054899e-11 3.55430362e-08 -3.37998173e-14 2.79418834e-13 8.80212035e-16 4.60258825e-16] [-9.31259527e-13 -3.37998173e-14 3.54065543e-09 1.15858251e-14 4.37943778e-17 2.61269325e-17] [ 1.80000091e-11 2.79418834e-13 1.15858251e-14 2.78122117e-06 -4.83627456e-12 -2.35950944e-12] [ 4.09778089e-14 8.80212035e-16 4.37943778e-17 -4.83627456e-12 6.74804025e-09 -1.26302965e-14] [ 1.78566784e-14 4.60258825e-16 2.61269325e-17 -2.35950944e-12 -1.26302965e-14 7.06462347e-09]] LogLike[0182]=-3098.420699 sigma_a=0.230464 R: [[24.73453979 0.54334905] [ 0.54334905 25.87476952]] m0: [ 3.55553085 -1.80940615 0.12136607 -0.32096201 0.70995221 -0.68009802] V0: [[ 2.14871469e-06 -2.02045070e-11 -9.37383146e-13 1.81045984e-11 4.12403320e-14 1.79830121e-14] [-2.02045070e-11 3.55430330e-08 -3.40614655e-14 2.81208956e-13 8.86418928e-16 4.63826654e-16] [-9.37383146e-13 -3.40614655e-14 3.54065539e-09 1.16677975e-14 4.41338686e-17 2.63485038e-17] [ 1.81045984e-11 2.81208956e-13 1.16677975e-14 2.78121369e-06 -4.85989157e-12 -2.37498030e-12] [ 4.12403320e-14 8.86418928e-16 4.41338686e-17 -4.85989157e-12 6.74804014e-09 -1.27279827e-14] [ 1.79830121e-14 4.63826654e-16 2.63485038e-17 -2.37498030e-12 -1.27279827e-14 7.06462334e-09]] LogLike[0183]=-3098.369140 sigma_a=0.229785 R: [[24.73456982 0.54304621] [ 0.54304621 25.87518413]] m0: [ 3.55553048 -1.80940617 0.12136607 -0.32096183 0.70995221 -0.68009802] V0: [[ 2.14871005e-06 -2.03037195e-11 -9.43525036e-13 1.82092307e-11 4.15032185e-14 1.81096502e-14] [-2.03037195e-11 3.55430299e-08 -3.43241494e-14 2.83001555e-13 8.92640583e-16 4.67406614e-16] [-9.43525036e-13 -3.43241494e-14 3.54065536e-09 1.17499674e-14 4.44745138e-17 2.65710534e-17] [ 1.82092307e-11 2.83001555e-13 1.17499674e-14 2.78120620e-06 -4.88355491e-12 -2.39049718e-12] [ 4.15032185e-14 8.92640583e-16 4.44745138e-17 -4.88355491e-12 6.74804003e-09 -1.28260550e-14] [ 1.81096502e-14 4.67406614e-16 2.65710534e-17 -2.39049718e-12 -1.28260550e-14 7.06462321e-09]] LogLike[0184]=-3098.317048 sigma_a=0.229099 R: [[24.73459944 0.54273966] [ 0.54273966 25.87560732]] m0: [ 3.55553011 -1.80940618 0.12136607 -0.32096164 0.70995221 -0.68009802] V0: [[ 2.14870540e-06 -2.04031305e-11 -9.49685513e-13 1.83139097e-11 4.17664813e-14 1.82366014e-14] [-2.04031305e-11 3.55430268e-08 -3.45878879e-14 2.84796721e-13 8.98877422e-16 4.70999020e-16] [-9.49685513e-13 -3.45878879e-14 3.54065532e-09 1.18323406e-14 4.48163433e-17 2.67946057e-17] [ 1.83139097e-11 2.84796721e-13 1.18323406e-14 2.78119870e-06 -4.90726536e-12 -2.40606090e-12] [ 4.17664813e-14 8.98877421e-16 4.48163433e-17 -4.90726536e-12 6.74803992e-09 -1.29245204e-14] [ 1.82366014e-14 4.70999020e-16 2.67946057e-17 -2.40606090e-12 -1.29245204e-14 7.06462307e-09]] LogLike[0185]=-3098.266120 sigma_a=0.228430 R: [[24.73462867 0.5424294 ] [ 0.5424294 25.87603924]] m0: [ 3.55552974 -1.80940619 0.12136607 -0.32096146 0.70995221 -0.68009802] V0: [[ 2.14870075e-06 -2.05027430e-11 -9.55864871e-13 1.84186359e-11 4.20301258e-14 1.83638703e-14] [-2.05027430e-11 3.55430236e-08 -3.48526987e-14 2.86594491e-13 9.05129672e-16 4.74604073e-16] [-9.55864871e-13 -3.48526987e-14 3.54065529e-09 1.19149200e-14 4.51593763e-17 2.70191780e-17] [ 1.84186359e-11 2.86594491e-13 1.19149200e-14 2.78119119e-06 -4.93102359e-12 -2.42167217e-12] [ 4.20301258e-14 9.05129671e-16 4.51593763e-17 -4.93102359e-12 6.74803980e-09 -1.30233856e-14] [ 1.83638703e-14 4.74604073e-16 2.70191780e-17 -2.42167217e-12 -1.30233856e-14 7.06462294e-09]] LogLike[0186]=-3098.213391 sigma_a=0.227737 R: [[24.73465662 0.54212525] [ 0.54212525 25.87646623]] m0: [ 3.55552938 -1.8094062 0.12136607 -0.32096127 0.70995222 -0.68009802] V0: [[ 2.14869609e-06 -2.06025533e-11 -9.62062784e-13 1.85234064e-11 4.22941397e-14 1.84914491e-14] [-2.06025533e-11 3.55430204e-08 -3.51185643e-14 2.88394779e-13 9.11396941e-16 4.78221493e-16] [-9.62062784e-13 -3.51185643e-14 3.54065526e-09 1.19977005e-14 4.55035862e-17 2.72447500e-17] [ 1.85234064e-11 2.88394779e-13 1.19977005e-14 2.78118368e-06 -4.95482874e-12 -2.43733019e-12] [ 4.22941397e-14 9.11396940e-16 4.55035862e-17 -4.95482874e-12 6.74803969e-09 -1.31226441e-14] [ 1.84914491e-14 4.78221493e-16 2.72447500e-17 -2.43733019e-12 -1.31226441e-14 7.06462280e-09]] LogLike[0187]=-3098.164803 sigma_a=0.227098 R: [[24.73468478 0.5418103 ] [ 0.5418103 25.87691208]] m0: [ 3.55552901 -1.80940621 0.12136607 -0.32096108 0.70995222 -0.68009802] V0: [[ 2.14869143e-06 -2.07025693e-11 -9.68280015e-13 1.86282264e-11 4.25585465e-14 1.86193543e-14] [-2.07025693e-11 3.55430172e-08 -3.53855292e-14 2.90197747e-13 9.17680044e-16 4.81851913e-16] [-9.68280015e-13 -3.53855292e-14 3.54065522e-09 1.20806928e-14 4.58490331e-17 2.74713717e-17] [ 1.86282264e-11 2.90197747e-13 1.20806928e-14 2.78117615e-06 -4.97868268e-12 -2.45303687e-12] [ 4.25585465e-14 9.17680044e-16 4.58490331e-17 -4.97868268e-12 6.74803958e-09 -1.32223123e-14] [ 1.86193543e-14 4.81851913e-16 2.74713717e-17 -2.45303687e-12 -1.32223123e-14 7.06462266e-09]] LogLike[0188]=-3098.113501 sigma_a=0.226425 R: [[24.73471026 0.54151859] [ 0.54151859 25.87732848]] m0: [ 3.55552865 -1.80940622 0.12136607 -0.32096089 0.70995222 -0.68009802] V0: [[ 2.14868677e-06 -2.08027757e-11 -9.74515136e-13 1.87330852e-11 4.28232992e-14 1.87475534e-14] [-2.08027757e-11 3.55430141e-08 -3.56535132e-14 2.92003074e-13 9.23977396e-16 4.85494142e-16] [-9.74515136e-13 -3.56535132e-14 3.54065519e-09 1.21638759e-14 4.61956039e-17 2.76989524e-17] [ 1.87330852e-11 2.92003074e-13 1.21638759e-14 2.78116863e-06 -5.00258174e-12 -2.46878860e-12] [ 4.28232992e-14 9.23977395e-16 4.61956039e-17 -5.00258174e-12 6.74803947e-09 -1.33223605e-14] [ 1.87475534e-14 4.85494142e-16 2.76989524e-17 -2.46878860e-12 -1.33223605e-14 7.06462253e-09]] LogLike[0189]=-3098.065909 sigma_a=0.225801 R: [[24.73473634 0.54121125] [ 0.54121125 25.87777069]] m0: [ 3.55552828 -1.80940624 0.12136607 -0.32096071 0.70995222 -0.68009802] V0: [[ 2.14868210e-06 -2.09031839e-11 -9.80769248e-13 1.88379935e-11 4.30884393e-14 1.88760744e-14] [-2.09031839e-11 3.55430109e-08 -3.59225801e-14 2.93811044e-13 9.30290357e-16 4.89149199e-16] [-9.80769248e-13 -3.59225801e-14 3.54065515e-09 1.22472679e-14 4.65433952e-17 2.79275702e-17] [ 1.88379935e-11 2.93811044e-13 1.22472679e-14 2.78116109e-06 -5.02652867e-12 -2.48458818e-12] [ 4.30884393e-14 9.30290357e-16 4.65433952e-17 -5.02652867e-12 6.74803936e-09 -1.34228124e-14] [ 1.88760744e-14 4.89149199e-16 2.79275702e-17 -2.48458818e-12 -1.34228124e-14 7.06462239e-09]] LogLike[0190]=-3098.020306 sigma_a=0.225203 R: [[24.7347601 0.5409246 ] [ 0.5409246 25.87818647]] m0: [ 3.55552792 -1.80940625 0.12136607 -0.32096052 0.70995222 -0.68009802] V0: [[ 2.14867742e-06 -2.10037801e-11 -9.87041067e-13 1.89429404e-11 4.33539218e-14 1.90048864e-14] [-2.10037801e-11 3.55430076e-08 -3.61926576e-14 2.95621348e-13 9.36617427e-16 4.92815968e-16] [-9.87041067e-13 -3.61926576e-14 3.54065512e-09 1.23308488e-14 4.68923011e-17 2.81571407e-17] [ 1.89429404e-11 2.95621348e-13 1.23308488e-14 2.78115354e-06 -5.05052016e-12 -2.50043234e-12] [ 4.33539218e-14 9.36617427e-16 4.68923011e-17 -5.05052016e-12 6.74803924e-09 -1.35236410e-14] [ 1.90048864e-14 4.92815968e-16 2.81571407e-17 -2.50043234e-12 -1.35236410e-14 7.06462225e-09]] LogLike[0191]=-3097.970496 sigma_a=0.224550 R: [[24.73478232 0.54064972] [ 0.54064972 25.87858819]] m0: [ 3.55552756 -1.80940626 0.12136607 -0.32096033 0.70995222 -0.68009802] V0: [[ 2.14867274e-06 -2.11045571e-11 -9.93329935e-13 1.90479260e-11 4.36197374e-14 1.91339804e-14] [-2.11045571e-11 3.55430044e-08 -3.64637091e-14 2.97433925e-13 9.42958173e-16 4.96494075e-16] [-9.93329935e-13 -3.64637091e-14 3.54065508e-09 1.24146127e-14 4.72422859e-17 2.83876333e-17] [ 1.90479260e-11 2.97433925e-13 1.24146127e-14 2.78114599e-06 -5.07455452e-12 -2.51631944e-12] [ 4.36197374e-14 9.42958173e-16 4.72422859e-17 -5.07455452e-12 6.74803913e-09 -1.36248326e-14] [ 1.91339804e-14 4.96494075e-16 2.83876333e-17 -2.51631944e-12 -1.36248326e-14 7.06462211e-09]] LogLike[0192]=-3097.919860 sigma_a=0.223887 R: [[24.73480584 0.54035008] [ 0.54035008 25.87902941]] m0: [ 3.5555272 -1.80940627 0.12136607 -0.32096015 0.70995223 -0.68009802] V0: [[ 2.14866806e-06 -2.12055326e-11 -9.99637521e-13 1.91529619e-11 4.38859381e-14 1.92633935e-14] [-2.12055326e-11 3.55430012e-08 -3.67358309e-14 2.99249127e-13 9.49314393e-16 5.00184907e-16] [-9.99637521e-13 -3.67358309e-14 3.54065505e-09 1.24985837e-14 4.75934817e-17 2.86191566e-17] [ 1.91529619e-11 2.99249127e-13 1.24985837e-14 2.78113844e-06 -5.09863592e-12 -2.53225369e-12] [ 4.38859381e-14 9.49314393e-16 4.75934817e-17 -5.09863592e-12 6.74803902e-09 -1.37264232e-14] [ 1.92633935e-14 5.00184907e-16 2.86191566e-17 -2.53225369e-12 -1.37264232e-14 7.06462197e-09]] LogLike[0193]=-3097.870074 sigma_a=0.223236 R: [[24.73482922 0.54004436] [ 0.54004436 25.87948324]] m0: [ 3.55552684 -1.80940628 0.12136607 -0.32095996 0.70995223 -0.68009801] V0: [[ 2.14866337e-06 -2.13067105e-11 -1.00596424e-12 1.92580450e-11 4.41525216e-14 1.93931276e-14] [-2.13067105e-11 3.55429980e-08 -3.70090476e-14 3.01066941e-13 9.55686183e-16 5.03888612e-16] [-1.00596424e-12 -3.70090476e-14 3.54065501e-09 1.25827631e-14 4.79459024e-17 2.88517262e-17] [ 1.92580450e-11 3.01066941e-13 1.25827631e-14 2.78113087e-06 -5.12276535e-12 -2.54823612e-12] [ 4.41525216e-14 9.55686183e-16 4.79459024e-17 -5.12276535e-12 6.74803890e-09 -1.38284220e-14] [ 1.93931276e-14 5.03888612e-16 2.88517262e-17 -2.54823612e-12 -1.38284220e-14 7.06462183e-09]] LogLike[0194]=-3097.821270 sigma_a=0.222597 R: [[24.73485166 0.53974293] [ 0.53974293 25.87993433]] m0: [ 3.55552648 -1.80940629 0.12136607 -0.32095977 0.70995223 -0.68009801] V0: [[ 2.14865868e-06 -2.14080885e-11 -1.01230987e-12 1.93631726e-11 4.44194776e-14 1.95231763e-14] [-2.14080885e-11 3.55429947e-08 -3.72833477e-14 3.02887295e-13 9.62073224e-16 5.07604972e-16] [-1.01230987e-12 -3.72833477e-14 3.54065498e-09 1.26671467e-14 4.82995274e-17 2.90853268e-17] [ 1.93631726e-11 3.02887295e-13 1.26671467e-14 2.78112330e-06 -5.14694219e-12 -2.56426617e-12] [ 4.44194776e-14 9.62073223e-16 4.82995274e-17 -5.14694219e-12 6.74803879e-09 -1.39308246e-14] [ 1.95231763e-14 5.07604972e-16 2.90853268e-17 -2.56426617e-12 -1.39308246e-14 7.06462169e-09]] LogLike[0195]=-3097.769854 sigma_a=0.221925 R: [[24.73487309 0.53944687] [ 0.53944687 25.88038089]] m0: [ 3.55552612 -1.8094063 0.12136607 -0.32095958 0.70995223 -0.68009801] V0: [[ 2.14865398e-06 -2.15096633e-11 -1.01867413e-12 1.94683437e-11 4.46867994e-14 1.96535344e-14] [-2.15096634e-11 3.55429915e-08 -3.75587164e-14 3.04710144e-13 9.68475268e-16 5.11333799e-16] [-1.01867413e-12 -3.75587164e-14 3.54065494e-09 1.27517310e-14 4.86543387e-17 2.93199442e-17] [ 1.94683437e-11 3.04710144e-13 1.27517310e-14 2.78111572e-06 -5.17116568e-12 -2.58034314e-12] [ 4.46867994e-14 9.68475268e-16 4.86543387e-17 -5.17116568e-12 6.74803867e-09 -1.40336255e-14] [ 1.96535344e-14 5.11333799e-16 2.93199442e-17 -2.58034314e-12 -1.40336255e-14 7.06462155e-09]] LogLike[0196]=-3097.721833 sigma_a=0.221298 R: [[24.73489499 0.53913502] [ 0.53913502 25.88085502]] m0: [ 3.55552576 -1.80940631 0.12136607 -0.32095939 0.70995223 -0.68009801] V0: [[ 2.14864928e-06 -2.16114466e-11 -1.02505813e-12 1.95735651e-11 4.49545194e-14 1.97842257e-14] [-2.16114466e-11 3.55429882e-08 -3.78352181e-14 3.06535708e-13 9.74893467e-16 5.15075993e-16] [-1.02505813e-12 -3.78352181e-14 3.54065490e-09 1.28365316e-14 4.90104221e-17 2.95556502e-17] [ 1.95735651e-11 3.06535708e-13 1.28365316e-14 2.78110813e-06 -5.19543858e-12 -2.59646983e-12] [ 4.49545194e-14 9.74893466e-16 4.90104221e-17 -5.19543858e-12 6.74803856e-09 -1.41368488e-14] [ 1.97842257e-14 5.15075993e-16 2.95556502e-17 -2.59646983e-12 -1.41368488e-14 7.06462141e-09]] LogLike[0197]=-3097.674419 sigma_a=0.220678 R: [[24.73491502 0.53884223] [ 0.53884223 25.88130375]] m0: [ 3.5555254 -1.80940633 0.12136607 -0.32095921 0.70995223 -0.68009801] V0: [[ 2.14864457e-06 -2.17134252e-11 -1.03146066e-12 1.96788265e-11 4.52225946e-14 1.99152208e-14] [-2.17134252e-11 3.55429849e-08 -3.81127846e-14 3.08363696e-13 9.81326394e-16 5.18830495e-16] [-1.03146066e-12 -3.81127846e-14 3.54065487e-09 1.29215294e-14 4.93676766e-17 2.97923641e-17] [ 1.96788265e-11 3.08363696e-13 1.29215294e-14 2.78110053e-06 -5.21975777e-12 -2.61264317e-12] [ 4.52225946e-14 9.81326394e-16 4.93676766e-17 -5.21975777e-12 6.74803844e-09 -1.42404689e-14] [ 1.99152208e-14 5.18830495e-16 2.97923641e-17 -2.61264317e-12 -1.42404689e-14 7.06462126e-09]] LogLike[0198]=-3097.629547 sigma_a=0.220093 R: [[24.73493422 0.53855308] [ 0.53855308 25.88175028]] m0: [ 3.55552505 -1.80940634 0.12136607 -0.32095902 0.70995223 -0.68009801] V0: [[ 2.14863986e-06 -2.18155975e-11 -1.03788158e-12 1.97841308e-11 4.54910298e-14 2.00465211e-14] [-2.18155975e-11 3.55429817e-08 -3.83914089e-14 3.10194138e-13 9.87774122e-16 5.22597327e-16] [-1.03788158e-12 -3.83914089e-14 3.54065483e-09 1.30067253e-14 4.97261045e-17 3.00300865e-17] [ 1.97841308e-11 3.10194138e-13 1.30067253e-14 2.78109293e-06 -5.24412287e-12 -2.62886281e-12] [ 4.54910298e-14 9.87774122e-16 4.97261045e-17 -5.24412287e-12 6.74803833e-09 -1.43444833e-14] [ 2.00465211e-14 5.22597327e-16 3.00300865e-17 -2.62886281e-12 -1.43444833e-14 7.06462112e-09]] LogLike[0199]=-3097.584653 sigma_a=0.219507 R: [[24.73495197 0.53827862] [ 0.53827862 25.88217726]] m0: [ 3.55552469 -1.80940635 0.12136607 -0.32095883 0.70995224 -0.68009801] V0: [[ 2.14863515e-06 -2.19179539e-11 -1.04431999e-12 1.98894732e-11 4.57598008e-14 2.01781086e-14] [-2.19179539e-11 3.55429784e-08 -3.86710403e-14 3.12026870e-13 9.94235772e-16 5.26375806e-16] [-1.04431999e-12 -3.86710403e-14 3.54065479e-09 1.30921076e-14 5.00856407e-17 3.02687642e-17] [ 1.98894732e-11 3.12026870e-13 1.30921076e-14 2.78108532e-06 -5.26853157e-12 -2.64512649e-12] [ 4.57598008e-14 9.94235772e-16 5.00856407e-17 -5.26853157e-12 6.74803821e-09 -1.44488730e-14] [ 2.01781086e-14 5.26375806e-16 3.02687642e-17 -2.64512649e-12 -1.44488730e-14 7.06462097e-09]] LogLike[0200]=-3097.535696 sigma_a=0.218869 R: [[24.73496922 0.53800399] [ 0.53800399 25.88260752]] m0: [ 3.55552434 -1.80940636 0.12136607 -0.32095864 0.70995224 -0.68009801] V0: [[ 2.14863043e-06 -2.20204953e-11 -1.05077599e-12 1.99948571e-11 4.60289166e-14 2.03099884e-14] [-2.20204953e-11 3.55429751e-08 -3.89516849e-14 3.13861955e-13 1.00071160e-15 5.30166109e-16] [-1.05077599e-12 -3.89516849e-14 3.54065476e-09 1.31776796e-14 5.04463021e-17 3.05084104e-17] [ 1.99948571e-11 3.13861955e-13 1.31776796e-14 2.78107770e-06 -5.29298409e-12 -2.66143444e-12] [ 4.60289166e-14 1.00071160e-15 5.04463021e-17 -5.29298409e-12 6.74803809e-09 -1.45536403e-14] [ 2.03099884e-14 5.30166109e-16 3.05084104e-17 -2.66143444e-12 -1.45536403e-14 7.06462083e-09]] LogLike[0201]=-3097.487777 sigma_a=0.218244 R: [[24.73498743 0.5377047 ] [ 0.5377047 25.88307989]] m0: [ 3.55552399 -1.80940637 0.12136607 -0.32095845 0.70995224 -0.68009801] V0: [[ 2.14862570e-06 -2.21232391e-11 -1.05725126e-12 2.01002913e-11 4.62984232e-14 2.04421950e-14] [-2.21232391e-11 3.55429718e-08 -3.92334413e-14 3.15699704e-13 1.00720328e-15 5.33969562e-16] [-1.05725126e-12 -3.92334413e-14 3.54065472e-09 1.32634638e-14 5.08082149e-17 3.07491314e-17] [ 2.01002913e-11 3.15699704e-13 1.32634638e-14 2.78107008e-06 -5.31748461e-12 -2.67779095e-12] [ 4.62984232e-14 1.00720328e-15 5.08082149e-17 -5.31748461e-12 6.74803798e-09 -1.46588221e-14] [ 2.04421950e-14 5.33969562e-16 3.07491314e-17 -2.67779095e-12 -1.46588221e-14 7.06462068e-09]] LogLike[0202]=-3097.439543 sigma_a=0.217616 R: [[24.73500486 0.53741034] [ 0.53741034 25.88354808]] m0: [ 3.55552363 -1.80940638 0.12136607 -0.32095826 0.70995224 -0.68009801] V0: [[ 2.14862097e-06 -2.22261820e-11 -1.06374551e-12 2.02057690e-11 4.65682981e-14 2.05747155e-14] [-2.22261820e-11 3.55429684e-08 -3.95162927e-14 3.17539966e-13 1.01371017e-15 5.37785742e-16] [-1.06374551e-12 -3.95162927e-14 3.54065468e-09 1.33494516e-14 5.11713387e-17 3.09908976e-17] [ 2.02057690e-11 3.17539966e-13 1.33494516e-14 2.78106245e-06 -5.34203230e-12 -2.69419520e-12] [ 4.65682981e-14 1.01371016e-15 5.11713387e-17 -5.34203230e-12 6.74803786e-09 -1.47644119e-14] [ 2.05747155e-14 5.37785742e-16 3.09908976e-17 -2.69419520e-12 -1.47644119e-14 7.06462054e-09]] LogLike[0203]=-3097.393714 sigma_a=0.217020 R: [[24.73502188 0.5371137 ] [ 0.5371137 25.88402347]] m0: [ 3.55552328 -1.80940639 0.12136607 -0.32095807 0.70995224 -0.68009801] V0: [[ 2.14861624e-06 -2.23293262e-11 -1.07025895e-12 2.03112920e-11 4.68385490e-14 2.07075551e-14] [-2.23293262e-11 3.55429651e-08 -3.98002533e-14 3.19382791e-13 1.02023253e-15 5.41614861e-16] [-1.07025895e-12 -3.98002533e-14 3.54065465e-09 1.34356466e-14 5.15356939e-17 3.12337265e-17] [ 2.03112920e-11 3.19382791e-13 1.34356466e-14 2.78105481e-06 -5.36662766e-12 -2.71064778e-12] [ 4.68385490e-14 1.02023253e-15 5.15356939e-17 -5.36662766e-12 6.74803774e-09 -1.48704152e-14] [ 2.07075551e-14 5.41614861e-16 3.12337265e-17 -2.71064778e-12 -1.48704152e-14 7.06462039e-09]] LogLike[0204]=-3097.345876 sigma_a=0.216397 R: [[24.73503766 0.53683086] [ 0.53683086 25.88448014]] m0: [ 3.55552293 -1.8094064 0.12136607 -0.32095788 0.70995224 -0.68009801] V0: [[ 2.14861150e-06 -2.24326623e-11 -1.07679072e-12 2.04168548e-11 4.71091497e-14 2.08406952e-14] [-2.24326623e-11 3.55429618e-08 -4.00852741e-14 3.21228003e-13 1.02676946e-15 5.45456219e-16] [-1.07679072e-12 -4.00852741e-14 3.54065461e-09 1.35220366e-14 5.19012137e-17 3.14775640e-17] [ 2.04168548e-11 3.21228003e-13 1.35220366e-14 2.78104716e-06 -5.39126849e-12 -2.72714650e-12] [ 4.71091497e-14 1.02676946e-15 5.19012137e-17 -5.39126849e-12 6.74803763e-09 -1.49768135e-14] [ 2.08406952e-14 5.45456219e-16 3.14775640e-17 -2.72714650e-12 -1.49768135e-14 7.06462024e-09]] LogLike[0205]=-3097.302933 sigma_a=0.215839 R: [[24.73505356 0.53653586] [ 0.53653586 25.88495993]] m0: [ 3.55552258 -1.80940641 0.12136607 -0.32095769 0.70995225 -0.68009801] V0: [[ 2.14860676e-06 -2.25361997e-11 -1.08334172e-12 2.05224648e-11 4.73801312e-14 2.09741573e-14] [-2.25361997e-11 3.55429584e-08 -4.03714086e-14 3.23075811e-13 1.03332201e-15 5.49310628e-16] [-1.08334172e-12 -4.03714086e-14 3.54065457e-09 1.36086356e-14 5.22679753e-17 3.17224740e-17] [ 2.05224648e-11 3.23075811e-13 1.36086356e-14 2.78103951e-06 -5.41595701e-12 -2.74369365e-12] [ 4.73801312e-14 1.03332201e-15 5.22679753e-17 -5.41595701e-12 6.74803751e-09 -1.50836269e-14] [ 2.09741573e-14 5.49310628e-16 3.17224740e-17 -2.74369365e-12 -1.50836269e-14 7.06462009e-09]] LogLike[0206]=-3097.255936 sigma_a=0.215228 R: [[24.73506756 0.5362694 ] [ 0.5362694 25.88539646]] m0: [ 3.55552223 -1.80940642 0.12136607 -0.3209575 0.70995225 -0.68009801] V0: [[ 2.14860201e-06 -2.26399185e-11 -1.08991007e-12 2.06281089e-11 4.76514342e-14 2.11078993e-14] [-2.26399185e-11 3.55429551e-08 -4.06585485e-14 3.24925813e-13 1.03988812e-15 5.53176511e-16] [-1.08991007e-12 -4.06585485e-14 3.54065453e-09 1.36954163e-14 5.26358290e-17 3.19683337e-17] [ 2.06281089e-11 3.24925813e-13 1.36954163e-14 2.78103185e-06 -5.44068846e-12 -2.76028446e-12] [ 4.76514342e-14 1.03988812e-15 5.26358290e-17 -5.44068846e-12 6.74803739e-09 -1.51908149e-14] [ 2.11078993e-14 5.53176511e-16 3.19683337e-17 -2.76028446e-12 -1.51908149e-14 7.06461994e-09]] LogLike[0207]=-3097.210828 sigma_a=0.214642 R: [[24.73508227 0.53597889] [ 0.53597889 25.88587567]] m0: [ 3.55552188 -1.80940644 0.12136607 -0.32095731 0.70995225 -0.68009801] V0: [[ 2.14859726e-06 -2.27438367e-11 -1.09649752e-12 2.07338021e-11 4.79231203e-14 2.12419637e-14] [-2.27438367e-11 3.55429517e-08 -4.09467955e-14 3.26778427e-13 1.04646987e-15 5.57055444e-16] [-1.09649752e-12 -4.09467955e-14 3.54065450e-09 1.37824062e-14 5.30049245e-17 3.22152663e-17] [ 2.07338021e-11 3.26778427e-13 1.37824062e-14 2.78102418e-06 -5.46546716e-12 -2.77692332e-12] [ 4.79231203e-14 1.04646987e-15 5.30049245e-17 -5.46546716e-12 6.74803727e-09 -1.52984156e-14] [ 2.12419637e-14 5.57055444e-16 3.22152663e-17 -2.77692332e-12 -1.52984156e-14 7.06461979e-09]] LogLike[0208]=-3097.164709 sigma_a=0.214043 R: [[24.73509609 0.53569855] [ 0.53569855 25.8863415 ]] m0: [ 3.55552154 -1.80940645 0.12136607 -0.32095712 0.70995225 -0.680098 ] V0: [[ 2.14859250e-06 -2.28479469e-11 -1.10310337e-12 2.08395355e-11 4.81951575e-14 2.13763301e-14] [-2.28479469e-11 3.55429483e-08 -4.12361115e-14 3.28633435e-13 1.05306626e-15 5.60946717e-16] [-1.10310337e-12 -4.12361115e-14 3.54065446e-09 1.38695921e-14 5.33751942e-17 3.24632191e-17] [ 2.08395355e-11 3.28633435e-13 1.38695921e-14 2.78101650e-06 -5.49029134e-12 -2.79360853e-12] [ 4.81951575e-14 1.05306626e-15 5.33751942e-17 -5.49029134e-12 6.74803715e-09 -1.54064146e-14] [ 2.13763301e-14 5.60946717e-16 3.24632191e-17 -2.79360853e-12 -1.54064146e-14 7.06461964e-09]] LogLike[0209]=-3097.120034 sigma_a=0.213463 R: [[24.73510974 0.53541188] [ 0.53541188 25.88682121]] m0: [ 3.55552119 -1.80940646 0.12136607 -0.32095693 0.70995225 -0.680098 ] V0: [[ 2.14858774e-06 -2.29522545e-11 -1.10972815e-12 2.09453136e-11 4.84675638e-14 2.15110111e-14] [-2.29522545e-11 3.55429449e-08 -4.15265272e-14 3.30490962e-13 1.05967790e-15 5.64850804e-16] [-1.10972815e-12 -4.15265272e-14 3.54065442e-09 1.39569823e-14 5.37466833e-17 3.27122299e-17] [ 2.09453136e-11 3.30490962e-13 1.39569823e-14 2.78100882e-06 -5.51516225e-12 -2.81034138e-12] [ 4.84675638e-14 1.05967790e-15 5.37466833e-17 -5.51516225e-12 6.74803703e-09 -1.55148233e-14] [ 2.15110111e-14 5.64850804e-16 3.27122299e-17 -2.81034138e-12 -1.55148233e-14 7.06461949e-09]] LogLike[0210]=-3097.075592 sigma_a=0.212886 R: [[24.73512262 0.53513325] [ 0.53513325 25.8872908 ]] m0: [ 3.55552085 -1.80940647 0.12136607 -0.32095674 0.70995225 -0.680098 ] V0: [[ 2.14858297e-06 -2.30567539e-11 -1.11637135e-12 2.10511322e-11 4.87403214e-14 2.16459944e-14] [-2.30567539e-11 3.55429415e-08 -4.18180145e-14 3.32350883e-13 1.06630420e-15 5.68767263e-16] [-1.11637135e-12 -4.18180145e-14 3.54065438e-09 1.40445686e-14 5.41193498e-17 3.29622653e-17] [ 2.10511322e-11 3.32350883e-13 1.40445686e-14 2.78100113e-06 -5.54007859e-12 -2.82712059e-12] [ 4.87403214e-14 1.06630420e-15 5.41193498e-17 -5.54007859e-12 6.74803691e-09 -1.56236314e-14] [ 2.16459944e-14 5.68767263e-16 3.29622653e-17 -2.82712059e-12 -1.56236314e-14 7.06461934e-09]] LogLike[0211]=-3097.029164 sigma_a=0.212284 R: [[24.73513502 0.53485576] [ 0.53485576 25.88776172]] m0: [ 3.5555205 -1.80940648 0.12136607 -0.32095655 0.70995226 -0.680098 ] V0: [[ 2.14857820e-06 -2.31614450e-11 -1.12303298e-12 2.11569925e-11 4.90134331e-14 2.17812816e-14] [-2.31614450e-11 3.55429381e-08 -4.21105741e-14 3.34213221e-13 1.07294523e-15 5.72696148e-16] [-1.12303298e-12 -4.21105741e-14 3.54065434e-09 1.41323522e-14 5.44931987e-17 3.32133298e-17] [ 2.11569925e-11 3.34213221e-13 1.41323522e-14 2.78099344e-06 -5.56504031e-12 -2.84394616e-12] [ 4.90134331e-14 1.07294523e-15 5.44931987e-17 -5.56504031e-12 6.74803679e-09 -1.57328391e-14] [ 2.17812816e-14 5.72696148e-16 3.32133298e-17 -2.84394616e-12 -1.57328391e-14 7.06461918e-09]] LogLike[0212]=-3096.987115 sigma_a=0.211738 R: [[24.73514754 0.53456572] [ 0.53456572 25.8882574 ]] m0: [ 3.55552016 -1.80940649 0.12136607 -0.32095636 0.70995226 -0.680098 ] V0: [[ 2.14857343e-06 -2.32663371e-11 -1.12971394e-12 2.12628995e-11 4.92869239e-14 2.19168916e-14] [-2.32663371e-11 3.55429347e-08 -4.24042609e-14 3.36078143e-13 1.07960191e-15 5.76638195e-16] [-1.12971394e-12 -4.24042609e-14 3.54065430e-09 1.42203453e-14 5.48683001e-17 3.34654833e-17] [ 2.12628995e-11 3.36078143e-13 1.42203453e-14 2.78098573e-06 -5.59004965e-12 -2.86082042e-12] [ 4.92869239e-14 1.07960191e-15 5.48683001e-17 -5.59004965e-12 6.74803667e-09 -1.58424669e-14] [ 2.19168916e-14 5.76638195e-16 3.34654833e-17 -2.86082042e-12 -1.58424669e-14 7.06461903e-09]] LogLike[0213]=-3096.943685 sigma_a=0.211175 R: [[24.73515865 0.53430145] [ 0.53430145 25.88871218]] m0: [ 3.55551981 -1.8094065 0.12136607 -0.32095617 0.70995226 -0.680098 ] V0: [[ 2.14856865e-06 -2.33714121e-11 -1.13641252e-12 2.13688409e-11 4.95607386e-14 2.20527849e-14] [-2.33714121e-11 3.55429313e-08 -4.26989747e-14 3.37945275e-13 1.08627233e-15 5.80591934e-16] [-1.13641252e-12 -4.26989747e-14 3.54065426e-09 1.43085223e-14 5.52445141e-17 3.37186106e-17] [ 2.13688409e-11 3.37945275e-13 1.43085223e-14 2.78097802e-06 -5.61510225e-12 -2.87773898e-12] [ 4.95607386e-14 1.08627233e-15 5.52445141e-17 -5.61510226e-12 6.74803655e-09 -1.59524772e-14] [ 2.20527849e-14 5.80591934e-16 3.37186106e-17 -2.87773898e-12 -1.59524772e-14 7.06461888e-09]] LogLike[0214]=-3096.897836 sigma_a=0.210581 R: [[24.73516968 0.53402903] [ 0.53402903 25.88918406]] m0: [ 3.55551947 -1.80940651 0.12136607 -0.32095597 0.70995226 -0.680098 ] V0: [[ 2.14856387e-06 -2.34766767e-11 -1.14312936e-12 2.14748253e-11 4.98349080e-14 2.21889817e-14] [-2.34766767e-11 3.55429279e-08 -4.29947551e-14 3.39814826e-13 1.09295746e-15 5.84558085e-16] [-1.14312936e-12 -4.29947551e-14 3.54065422e-09 1.43968963e-14 5.56219093e-17 3.39727673e-17] [ 2.14748253e-11 3.39814826e-13 1.43968963e-14 2.78097031e-06 -5.64019975e-12 -2.89470353e-12] [ 4.98349080e-14 1.09295746e-15 5.56219093e-17 -5.64019975e-12 6.74803643e-09 -1.60628850e-14] [ 2.21889817e-14 5.84558085e-16 3.39727673e-17 -2.89470353e-12 -1.60628850e-14 7.06461872e-09]] LogLike[0215]=-3096.851521 sigma_a=0.209982 R: [[24.73518092 0.53374107] [ 0.53374107 25.88968628]] m0: [ 3.55551913 -1.80940652 0.12136607 -0.32095578 0.70995226 -0.680098 ] V0: [[ 2.14855908e-06 -2.35821424e-11 -1.14986561e-12 2.15808568e-11 5.01094573e-14 2.23255023e-14] [-2.35821424e-11 3.55429244e-08 -4.32916687e-14 3.41686967e-13 1.09965828e-15 5.88537469e-16] [-1.14986561e-12 -4.32916687e-14 3.54065418e-09 1.44854804e-14 5.60005637e-17 3.42280215e-17] [ 2.15808568e-11 3.41686967e-13 1.44854804e-14 2.78096258e-06 -5.66534486e-12 -2.91171689e-12] [ 5.01094573e-14 1.09965828e-15 5.60005637e-17 -5.66534486e-12 6.74803631e-09 -1.61737151e-14] [ 2.23255023e-14 5.88537469e-16 3.42280215e-17 -2.91171689e-12 -1.61737151e-14 7.06461857e-09]] LogLike[0216]=-3096.812177 sigma_a=0.209472 R: [[24.73519195 0.53344927] [ 0.53344927 25.89019884]] m0: [ 3.55551879 -1.80940653 0.12136607 -0.32095559 0.70995226 -0.680098 ] V0: [[ 2.14855429e-06 -2.36878120e-11 -1.15662154e-12 2.16869334e-11 5.03843852e-14 2.24623482e-14] [-2.36878120e-11 3.55429210e-08 -4.35897340e-14 3.43561691e-13 1.10637489e-15 5.92530203e-16] [-1.15662154e-12 -4.35897340e-14 3.54065415e-09 1.45742757e-14 5.63804886e-17 3.44843858e-17] [ 2.16869334e-11 3.43561691e-13 1.45742757e-14 2.78095485e-06 -5.69053826e-12 -2.92877981e-12] [ 5.03843852e-14 1.10637489e-15 5.63804886e-17 -5.69053826e-12 6.74803619e-09 -1.62849743e-14] [ 2.24623482e-14 5.92530203e-16 3.44843858e-17 -2.92877981e-12 -1.62849743e-14 7.06461841e-09]] LogLike[0217]=-3096.771178 sigma_a=0.208942 R: [[24.73520116 0.53319958] [ 0.53319958 25.8906404 ]] m0: [ 3.55551845 -1.80940654 0.12136607 -0.3209554 0.70995227 -0.680098 ] V0: [[ 2.14854949e-06 -2.37936555e-11 -1.16339428e-12 2.17930386e-11 5.06596105e-14 2.25994592e-14] [-2.37936555e-11 3.55429175e-08 -4.38887834e-14 3.45438443e-13 1.11310433e-15 5.96533973e-16] [-1.16339428e-12 -4.38887834e-14 3.54065411e-09 1.46632430e-14 5.67614637e-17 3.47416756e-17] [ 2.17930386e-11 3.45438443e-13 1.46632430e-14 2.78094711e-06 -5.71577276e-12 -2.94588500e-12] [ 5.06596105e-14 1.11310433e-15 5.67614637e-17 -5.71577276e-12 6.74803607e-09 -1.63966000e-14] [ 2.25994592e-14 5.96533973e-16 3.47416756e-17 -2.94588500e-12 -1.63966000e-14 7.06461825e-09]] LogLike[0218]=-3096.728619 sigma_a=0.208391 R: [[24.73521032 0.5329405 ] [ 0.5329405 25.89110132]] m0: [ 3.55551811 -1.80940655 0.12136607 -0.32095521 0.70995227 -0.680098 ] V0: [[ 2.14854469e-06 -2.38996809e-11 -1.17018462e-12 2.18991851e-11 5.09351760e-14 2.27368620e-14] [-2.38996809e-11 3.55429140e-08 -4.41888638e-14 3.47317516e-13 1.11984793e-15 6.00549726e-16] [-1.17018462e-12 -4.41888638e-14 3.54065407e-09 1.47523998e-14 5.71435789e-17 3.49999628e-17] [ 2.18991851e-11 3.47317516e-13 1.47523998e-14 2.78093937e-06 -5.74105033e-12 -2.96303447e-12] [ 5.09351760e-14 1.11984793e-15 5.71435789e-17 -5.74105033e-12 6.74803594e-09 -1.65086100e-14] [ 2.27368620e-14 6.00549726e-16 3.49999628e-17 -2.96303447e-12 -1.65086100e-14 7.06461809e-09]] LogLike[0219]=-3096.682801 sigma_a=0.207799 R: [[24.73521953 0.53267107] [ 0.53267107 25.89158372]] m0: [ 3.55551778 -1.80940656 0.12136607 -0.32095501 0.70995227 -0.680098 ] V0: [[ 2.14853988e-06 -2.40058959e-11 -1.17699332e-12 2.20053746e-11 5.12110963e-14 2.28745694e-14] [-2.40058959e-11 3.55429106e-08 -4.44900208e-14 3.49199009e-13 1.12660630e-15 6.04577988e-16] [-1.17699332e-12 -4.44900208e-14 3.54065403e-09 1.48417543e-14 5.75268847e-17 3.52592920e-17] [ 2.20053746e-11 3.49199009e-13 1.48417543e-14 2.78093161e-06 -5.76637279e-12 -2.98023015e-12] [ 5.12110963e-14 1.12660630e-15 5.75268847e-17 -5.76637279e-12 6.74803582e-09 -1.66210210e-14] [ 2.28745694e-14 6.04577988e-16 3.52592920e-17 -2.98023015e-12 -1.66210210e-14 7.06461793e-09]] LogLike[0220]=-3096.638403 sigma_a=0.207225 R: [[24.73522908 0.53238072] [ 0.53238072 25.89210708]] m0: [ 3.55551744 -1.80940657 0.12136607 -0.32095482 0.70995227 -0.680098 ] V0: [[ 2.14853507e-06 -2.41123160e-11 -1.18382189e-12 2.21116128e-11 5.14874057e-14 2.30126090e-14] [-2.41123160e-11 3.55429071e-08 -4.47923438e-14 3.51083155e-13 1.13338077e-15 6.08619873e-16] [-1.18382189e-12 -4.47923438e-14 3.54065399e-09 1.49313243e-14 5.79114868e-17 3.55197555e-17] [ 2.21116128e-11 3.51083155e-13 1.49313243e-14 2.78092385e-06 -5.79174380e-12 -2.99747583e-12] [ 5.14874057e-14 1.13338077e-15 5.79114868e-17 -5.79174380e-12 6.74803570e-09 -1.67338666e-14] [ 2.30126090e-14 6.08619873e-16 3.55197555e-17 -2.99747583e-12 -1.67338666e-14 7.06461778e-09]] LogLike[0221]=-3096.596484 sigma_a=0.206683 R: [[24.73523809 0.53209798] [ 0.53209798 25.89262028]] m0: [ 3.5555171 -1.80940658 0.12136607 -0.32095463 0.70995227 -0.680098 ] V0: [[ 2.14853026e-06 -2.42189356e-11 -1.19066982e-12 2.22178923e-11 5.17640780e-14 2.31509643e-14] [-2.42189356e-11 3.55429036e-08 -4.50958039e-14 3.52969776e-13 1.14017055e-15 6.12674810e-16] [-1.19066982e-12 -4.50958039e-14 3.54065394e-09 1.50210993e-14 5.82973309e-17 3.57813111e-17] [ 2.22178923e-11 3.52969776e-13 1.50210993e-14 2.78091609e-06 -5.81716202e-12 -3.01477020e-12] [ 5.17640780e-14 1.14017055e-15 5.82973309e-17 -5.81716202e-12 6.74803557e-09 -1.68471357e-14] [ 2.31509643e-14 6.12674810e-16 3.57813111e-17 -3.01477020e-12 -1.68471357e-14 7.06461762e-09]] LogLike[0222]=-3096.551226 sigma_a=0.206098 R: [[24.73524635 0.53183026] [ 0.53183026 25.89310941]] m0: [ 3.55551677 -1.80940659 0.12136607 -0.32095443 0.70995227 -0.68009799] V0: [[ 2.14852544e-06 -2.43257444e-11 -1.19753611e-12 2.23242091e-11 5.20410895e-14 2.32896167e-14] [-2.43257444e-11 3.55429001e-08 -4.54003439e-14 3.54858711e-13 1.14697473e-15 6.16742070e-16] [-1.19753611e-12 -4.54003439e-14 3.54065390e-09 1.51110671e-14 5.86843477e-17 3.60439002e-17] [ 2.23242091e-11 3.54858711e-13 1.51110671e-14 2.78090831e-06 -5.84262498e-12 -3.03211077e-12] [ 5.20410895e-14 1.14697473e-15 5.86843477e-17 -5.84262498e-12 6.74803545e-09 -1.69608072e-14] [ 2.32896167e-14 6.16742070e-16 3.60439002e-17 -3.03211077e-12 -1.69608072e-14 7.06461745e-09]] LogLike[0223]=-3096.508674 sigma_a=0.205549 R: [[24.73525485 0.53154173] [ 0.53154173 25.89364003]] m0: [ 3.55551643 -1.8094066 0.12136607 -0.32095424 0.70995228 -0.68009799] V0: [[ 2.14852062e-06 -2.44327583e-11 -1.20442233e-12 2.24305743e-11 5.23184894e-14 2.34286018e-14] [-2.44327582e-11 3.55428965e-08 -4.57060569e-14 3.56750295e-13 1.15379503e-15 6.20823012e-16] [-1.20442233e-12 -4.57060569e-14 3.54065386e-09 1.52012509e-14 5.90726665e-17 3.63076317e-17] [ 2.24305743e-11 3.56750295e-13 1.52012509e-14 2.78090053e-06 -5.86813649e-12 -3.04950151e-12] [ 5.23184894e-14 1.15379503e-15 5.90726665e-17 -5.86813650e-12 6.74803533e-09 -1.70749157e-14] [ 2.34286018e-14 6.20823012e-16 3.63076317e-17 -3.04950151e-12 -1.70749157e-14 7.06461729e-09]] LogLike[0224]=-3096.465105 sigma_a=0.204986 R: [[24.73526266 0.53126886] [ 0.53126886 25.89414524]] m0: [ 3.5555161 -1.80940661 0.12136607 -0.32095405 0.70995228 -0.68009799] V0: [[ 2.14851579e-06 -2.45399658e-11 -1.21132739e-12 2.25369775e-11 5.25962360e-14 2.35678913e-14] [-2.45399658e-11 3.55428930e-08 -4.60128797e-14 3.58644244e-13 1.16063009e-15 6.24916602e-16] [-1.21132739e-12 -4.60128797e-14 3.54065382e-09 1.52916322e-14 5.94621889e-17 3.65724260e-17] [ 2.25369775e-11 3.58644244e-13 1.52916322e-14 2.78089275e-06 -5.89369381e-12 -3.06693962e-12] [ 5.25962360e-14 1.16063009e-15 5.94621889e-17 -5.89369381e-12 6.74803520e-09 -1.71894376e-14] [ 2.35678913e-14 6.24916602e-16 3.65724260e-17 -3.06693962e-12 -1.71894376e-14 7.06461713e-09]] LogLike[0225]=-3096.423345 sigma_a=0.204447 R: [[24.73527032 0.53098957] [ 0.53098957 25.89466569]] m0: [ 3.55551577 -1.80940662 0.12136607 -0.32095385 0.70995228 -0.68009799] V0: [[ 2.14851096e-06 -2.46473724e-11 -1.21825184e-12 2.26434246e-11 5.28743515e-14 2.37075000e-14] [-2.46473724e-11 3.55428895e-08 -4.63208456e-14 3.60540708e-13 1.16748063e-15 6.29023396e-16] [-1.21825184e-12 -4.63208456e-14 3.54065378e-09 1.53822207e-14 5.98529678e-17 3.68383271e-17] [ 2.26434246e-11 3.60540708e-13 1.53822207e-14 2.78088495e-06 -5.91929825e-12 -3.08442651e-12] [ 5.28743514e-14 1.16748062e-15 5.98529678e-17 -5.91929825e-12 6.74803508e-09 -1.73043854e-14] [ 2.37075000e-14 6.29023396e-16 3.68383271e-17 -3.08442651e-12 -1.73043854e-14 7.06461697e-09]] LogLike[0226]=-3096.381713 sigma_a=0.203910 R: [[24.73527746 0.53072084] [ 0.53072084 25.89516971]] m0: [ 3.55551544 -1.80940663 0.12136607 -0.32095366 0.70995228 -0.68009799] V0: [[ 2.14850612e-06 -2.47549707e-11 -1.22519497e-12 2.27499101e-11 5.31528122e-14 2.38474114e-14] [-2.47549707e-11 3.55428859e-08 -4.66299137e-14 3.62439527e-13 1.17434583e-15 6.33142778e-16] [-1.22519497e-12 -4.66299137e-14 3.54065374e-09 1.54730057e-14 6.02449445e-17 3.71052871e-17] [ 2.27499101e-11 3.62439527e-13 1.54730057e-14 2.78087715e-06 -5.94494800e-12 -3.10196038e-12] [ 5.31528122e-14 1.17434583e-15 6.02449445e-17 -5.94494800e-12 6.74803495e-09 -1.74197438e-14] [ 2.38474114e-14 6.33142778e-16 3.71052871e-17 -3.10196038e-12 -1.74197438e-14 7.06461680e-09]] LogLike[0227]=-3096.338930 sigma_a=0.203358 R: [[24.7352843 0.53045269] [ 0.53045269 25.89567578]] m0: [ 3.55551511 -1.80940664 0.12136607 -0.32095346 0.70995228 -0.68009799] V0: [[ 2.14850128e-06 -2.48627609e-11 -1.23215680e-12 2.28564363e-11 5.34316239e-14 2.39876287e-14] [-2.48627609e-11 3.55428824e-08 -4.69400871e-14 3.64340740e-13 1.18122587e-15 6.37274856e-16] [-1.23215680e-12 -4.69400871e-14 3.54065370e-09 1.55639893e-14 6.06381295e-17 3.73733146e-17] [ 2.28564363e-11 3.64340740e-13 1.55639893e-14 2.78086934e-06 -5.97064314e-12 -3.11954131e-12] [ 5.34316239e-14 1.18122587e-15 6.06381295e-17 -5.97064314e-12 6.74803483e-09 -1.75355139e-14] [ 2.39876287e-14 6.37274856e-16 3.73733146e-17 -3.11954131e-12 -1.75355139e-14 7.06461664e-09]] LogLike[0228]=-3096.296326 sigma_a=0.202809 R: [[24.73529107 0.53017682] [ 0.53017682 25.89619974]] m0: [ 3.55551478 -1.80940665 0.12136607 -0.32095327 0.70995228 -0.68009799] V0: [[ 2.14849643e-06 -2.49707490e-11 -1.23913797e-12 2.29630060e-11 5.37108024e-14 2.41281641e-14] [-2.49707490e-11 3.55428788e-08 -4.72514033e-14 3.66244453e-13 1.18812133e-15 6.41420123e-16] [-1.23913797e-12 -4.72514033e-14 3.54065366e-09 1.56551793e-14 6.10325695e-17 3.76424506e-17] [ 2.29630060e-11 3.66244453e-13 1.56551793e-14 2.78086152e-06 -5.99638511e-12 -3.13717087e-12] [ 5.37108024e-14 1.18812133e-15 6.10325695e-17 -5.99638511e-12 6.74803470e-09 -1.76517097e-14] [ 2.41281641e-14 6.41420123e-16 3.76424506e-17 -3.13717087e-12 -1.76517097e-14 7.06461647e-09]] LogLike[0229]=-3096.253783 sigma_a=0.202261 R: [[24.73529759 0.52990129] [ 0.52990129 25.89672641]] m0: [ 3.55551445 -1.80940666 0.12136607 -0.32095308 0.70995228 -0.68009799] V0: [[ 2.14849158e-06 -2.50789351e-11 -1.24613849e-12 2.30696175e-11 5.39903427e-14 2.42690156e-14] [-2.50789351e-11 3.55428752e-08 -4.75638644e-14 3.68150636e-13 1.19503210e-15 6.45578530e-16] [-1.24613849e-12 -4.75638644e-14 3.54065361e-09 1.57465745e-14 6.14282600e-17 3.79126934e-17] [ 2.30696175e-11 3.68150636e-13 1.57465745e-14 2.78085370e-06 -6.02217391e-12 -3.15484910e-12] [ 5.39903427e-14 1.19503210e-15 6.14282600e-17 -6.02217391e-12 6.74803458e-09 -1.77683320e-14] [ 2.42690156e-14 6.45578530e-16 3.79126934e-17 -3.15484910e-12 -1.77683320e-14 7.06461631e-09]] LogLike[0230]=-3096.211144 sigma_a=0.201711 R: [[24.73530387 0.5296256 ] [ 0.5296256 25.89725674]] m0: [ 3.55551412 -1.80940667 0.12136607 -0.32095288 0.70995229 -0.68009799] V0: [[ 2.14848673e-06 -2.51873197e-11 -1.25315842e-12 2.31762710e-11 5.42702461e-14 2.44101841e-14] [-2.51873197e-11 3.55428716e-08 -4.78774757e-14 3.70059294e-13 1.20195825e-15 6.49750135e-16] [-1.25315842e-12 -4.78774757e-14 3.54065357e-09 1.58381754e-14 6.18252064e-17 3.81840488e-17] [ 2.31762710e-11 3.70059294e-13 1.58381754e-14 2.78084587e-06 -6.04800967e-12 -3.17257618e-12] [ 5.42702461e-14 1.20195825e-15 6.18252064e-17 -6.04800967e-12 6.74803445e-09 -1.78853828e-14] [ 2.44101841e-14 6.49750135e-16 3.81840488e-17 -3.17257618e-12 -1.78853828e-14 7.06461614e-09]] LogLike[0231]=-3096.169011 sigma_a=0.201168 R: [[24.73530994 0.52934873] [ 0.52934873 25.89779272]] m0: [ 3.55551379 -1.80940668 0.12136607 -0.32095269 0.70995229 -0.68009799] V0: [[ 2.14848187e-06 -2.52959042e-11 -1.26019793e-12 2.32829668e-11 5.45505152e-14 2.45516722e-14] [-2.52959042e-11 3.55428680e-08 -4.81922468e-14 3.71970447e-13 1.20889988e-15 6.53935049e-16] [-1.26019793e-12 -4.81922468e-14 3.54065353e-09 1.59299838e-14 6.22234192e-17 3.84565271e-17] [ 2.32829668e-11 3.71970447e-13 1.59299838e-14 2.78083803e-06 -6.07389270e-12 -3.19035246e-12] [ 5.45505152e-14 1.20889988e-15 6.22234192e-17 -6.07389270e-12 6.74803432e-09 -1.80028656e-14] [ 2.45516722e-14 6.53935049e-16 3.84565271e-17 -3.19035246e-12 -1.80028656e-14 7.06461597e-09]] LogLike[0232]=-3096.130868 sigma_a=0.200677 R: [[24.73531573 0.52907447] [ 0.52907447 25.89832704]] m0: [ 3.55551347 -1.80940669 0.12136607 -0.32095249 0.70995229 -0.68009799] V0: [[ 2.14847701e-06 -2.54046870e-11 -1.26725686e-12 2.33897037e-11 5.48311448e-14 2.46934765e-14] [-2.54046870e-11 3.55428644e-08 -4.85081711e-14 3.73884058e-13 1.21585684e-15 6.58133156e-16] [-1.26725686e-12 -4.85081711e-14 3.54065349e-09 1.60219974e-14 6.26228876e-17 3.87301201e-17] [ 2.33897037e-11 3.73884058e-13 1.60219974e-14 2.78083019e-06 -6.09982261e-12 -3.20817762e-12] [ 5.48311448e-14 1.21585684e-15 6.26228876e-17 -6.09982261e-12 6.74803420e-09 -1.81207780e-14] [ 2.46934765e-14 6.58133156e-16 3.87301201e-17 -3.20817762e-12 -1.81207780e-14 7.06461581e-09]] LogLike[0233]=-3096.089019 sigma_a=0.200138 R: [[24.73532086 0.52882502] [ 0.52882502 25.89881595]] m0: [ 3.55551314 -1.8094067 0.12136607 -0.32095229 0.70995229 -0.68009799] V0: [[ 2.14847214e-06 -2.55136500e-11 -1.27433348e-12 2.34964730e-11 5.51120888e-14 2.48355617e-14] [-2.55136500e-11 3.55428608e-08 -4.88251453e-14 3.75799814e-13 1.22282742e-15 6.62343076e-16] [-1.27433348e-12 -4.88251453e-14 3.54065344e-09 1.61141933e-14 6.30234800e-17 3.90047160e-17] [ 2.34964730e-11 3.75799814e-13 1.61141933e-14 2.78082234e-06 -6.12579511e-12 -3.22604722e-12] [ 5.51120888e-14 1.22282742e-15 6.30234800e-17 -6.12579511e-12 6.74803407e-09 -1.82390813e-14] [ 2.48355617e-14 6.62343076e-16 3.90047160e-17 -3.22604722e-12 -1.82390813e-14 7.06461564e-09]] LogLike[0234]=-3096.044684 sigma_a=0.199567 R: [[24.73532616 0.52855226] [ 0.52855226 25.89935365]] m0: [ 3.55551282 -1.80940671 0.12136607 -0.3209521 0.70995229 -0.68009799] V0: [[ 2.14846727e-06 -2.56228116e-11 -1.28142958e-12 2.36032889e-11 5.53934079e-14 2.49779709e-14] [-2.56228116e-11 3.55428572e-08 -4.91432782e-14 3.77718128e-13 1.22981370e-15 6.66566455e-16] [-1.28142958e-12 -4.91432782e-14 3.54065340e-09 1.62065996e-14 6.34253533e-17 3.92804470e-17] [ 2.36032889e-11 3.77718128e-13 1.62065996e-14 2.78081448e-06 -6.15181458e-12 -3.24396586e-12] [ 5.53934079e-14 1.22981370e-15 6.34253533e-17 -6.15181458e-12 6.74803394e-09 -1.83578163e-14] [ 2.49779709e-14 6.66566455e-16 3.92804470e-17 -3.24396586e-12 -1.83578163e-14 7.06461547e-09]] LogLike[0235]=-3096.004393 sigma_a=0.199049 R: [[24.73533159 0.52826243] [ 0.52826243 25.89992865]] m0: [ 3.5555125 -1.80940672 0.12136607 -0.3209519 0.70995229 -0.68009798] V0: [[ 2.14846239e-06 -2.57321846e-11 -1.28854646e-12 2.37101526e-11 5.56751218e-14 2.51207232e-14] [-2.57321846e-11 3.55428536e-08 -4.94626464e-14 3.79639135e-13 1.23681661e-15 6.70804113e-16] [-1.28854646e-12 -4.94626464e-14 3.54065336e-09 1.62992286e-14 6.38285854e-17 3.95573845e-17] [ 2.37101526e-11 3.79639135e-13 1.62992286e-14 2.78080661e-06 -6.17788405e-12 -3.26193674e-12] [ 5.56751218e-14 1.23681661e-15 6.38285854e-17 -6.17788405e-12 6.74803381e-09 -1.84770114e-14] [ 2.51207232e-14 6.70804113e-16 3.95573845e-17 -3.26193674e-12 -1.84770114e-14 7.06461530e-09]] LogLike[0236]=-3095.963791 sigma_a=0.198526 R: [[24.73533645 0.5279973 ] [ 0.5279973 25.900458 ]] m0: [ 3.55551217 -1.80940673 0.12136607 -0.32095171 0.7099523 -0.68009798] V0: [[ 2.14845751e-06 -2.58417503e-11 -1.29568230e-12 2.38170512e-11 5.59571726e-14 2.52637768e-14] [-2.58417503e-11 3.55428499e-08 -4.97831441e-14 3.81562439e-13 1.24383413e-15 6.75054475e-16] [-1.29568230e-12 -4.97831441e-14 3.54065331e-09 1.63920531e-14 6.42330263e-17 3.98354032e-17] [ 2.38170512e-11 3.81562439e-13 1.63920531e-14 2.78079874e-06 -6.20399908e-12 -3.27995529e-12] [ 5.59571726e-14 1.24383413e-15 6.42330263e-17 -6.20399908e-12 6.74803368e-09 -1.85966272e-14] [ 2.52637768e-14 6.75054475e-16 3.98354032e-17 -3.27995529e-12 -1.85966272e-14 7.06461512e-09]] LogLike[0237]=-3095.924736 sigma_a=0.198024 R: [[24.73534112 0.52773033] [ 0.52773033 25.90099416]] m0: [ 3.55551185 -1.80940674 0.12136607 -0.32095151 0.7099523 -0.68009798] V0: [[ 2.14845262e-06 -2.59515112e-11 -1.30283735e-12 2.39239907e-11 5.62395792e-14 2.54071432e-14] [-2.59515112e-11 3.55428463e-08 -5.01047867e-14 3.83488171e-13 1.25086681e-15 6.79317935e-16] [-1.30283735e-12 -5.01047867e-14 3.54065327e-09 1.64850806e-14 6.46387137e-17 4.01145333e-17] [ 2.39239907e-11 3.83488171e-13 1.64850806e-14 2.78079086e-06 -6.23016023e-12 -3.29802215e-12] [ 5.62395792e-14 1.25086681e-15 6.46387137e-17 -6.23016024e-12 6.74803356e-09 -1.87166694e-14] [ 2.54071432e-14 6.79317935e-16 4.01145333e-17 -3.29802215e-12 -1.87166694e-14 7.06461495e-09]] LogLike[0238]=-3095.888885 sigma_a=0.197563 R: [[24.73534549 0.52747268] [ 0.52747268 25.90151465]] m0: [ 3.55551153 -1.80940675 0.12136607 -0.32095131 0.7099523 -0.68009798] V0: [[ 2.14844773e-06 -2.60614605e-11 -1.31001097e-12 2.40309673e-11 5.65223229e-14 2.55508085e-14] [-2.60614605e-11 3.55428426e-08 -5.04275372e-14 3.85416201e-13 1.25791397e-15 6.83593964e-16] [-1.31001097e-12 -5.04275372e-14 3.54065323e-09 1.65783022e-14 6.50455973e-17 4.03947326e-17] [ 2.40309673e-11 3.85416201e-13 1.65783022e-14 2.78078297e-06 -6.25636593e-12 -3.31613570e-12] [ 5.65223229e-14 1.25791397e-15 6.50455973e-17 -6.25636593e-12 6.74803343e-09 -1.88371242e-14] [ 2.55508085e-14 6.83593964e-16 4.03947326e-17 -3.31613570e-12 -1.88371242e-14 7.06461478e-09]] LogLike[0239]=-3095.845212 sigma_a=0.197001 R: [[24.73534941 0.52723535] [ 0.52723535 25.90199675]] m0: [ 3.55551121 -1.80940676 0.12136607 -0.32095112 0.7099523 -0.68009798] V0: [[ 2.14844284e-06 -2.61715835e-11 -1.31720171e-12 2.41379753e-11 5.68053700e-14 2.56947457e-14] [-2.61715835e-11 3.55428389e-08 -5.07513102e-14 3.87346301e-13 1.26497431e-15 6.87881486e-16] [-1.31720171e-12 -5.07513102e-14 3.54065318e-09 1.66717002e-14 6.54535745e-17 4.06759125e-17] [ 2.41379753e-11 3.87346301e-13 1.66717002e-14 2.78077508e-06 -6.28261263e-12 -3.33429228e-12] [ 5.68053700e-14 1.26497432e-15 6.54535745e-17 -6.28261263e-12 6.74803330e-09 -1.89579598e-14] [ 2.56947457e-14 6.87881486e-16 4.06759125e-17 -3.33429228e-12 -1.89579598e-14 7.06461461e-09]] LogLike[0240]=-3095.808573 sigma_a=0.196530 R: [[24.73535385 0.52694783] [ 0.52694783 25.9025841 ]] m0: [ 3.55551089 -1.80940677 0.12136607 -0.32095092 0.7099523 -0.68009798] V0: [[ 2.14843794e-06 -2.62819190e-11 -1.32441343e-12 2.42450382e-11 5.70888317e-14 2.58390379e-14] [-2.62819190e-11 3.55428352e-08 -5.10763363e-14 3.89279228e-13 1.27205187e-15 6.92183739e-16] [-1.32441343e-12 -5.10763363e-14 3.54065314e-09 1.67653287e-14 6.58629535e-17 4.09583372e-17] [ 2.42450382e-11 3.89279228e-13 1.67653287e-14 2.78076718e-06 -6.30890963e-12 -3.35250164e-12] [ 5.70888317e-14 1.27205187e-15 6.58629535e-17 -6.30890963e-12 6.74803317e-09 -1.90792622e-14] [ 2.58390379e-14 6.92183739e-16 4.09583372e-17 -3.35250164e-12 -1.90792622e-14 7.06461443e-09]] LogLike[0241]=-3095.769894 sigma_a=0.196033 R: [[24.73535765 0.52670359] [ 0.52670359 25.90308606]] m0: [ 3.55551057 -1.80940678 0.12136607 -0.32095072 0.7099523 -0.68009798] V0: [[ 2.14843303e-06 -2.63924334e-11 -1.33164283e-12 2.43521285e-11 5.73725929e-14 2.59836040e-14] [-2.63924334e-11 3.55428316e-08 -5.14024199e-14 3.91214198e-13 1.27914270e-15 6.96497670e-16] [-1.33164283e-12 -5.14024199e-14 3.54065309e-09 1.68591350e-14 6.62734438e-17 4.12417641e-17] [ 2.43521285e-11 3.91214198e-13 1.68591350e-14 2.78075927e-06 -6.33524886e-12 -3.37075542e-12] [ 5.73725929e-14 1.27914270e-15 6.62734438e-17 -6.33524886e-12 6.74803304e-09 -1.92009583e-14] [ 2.59836040e-14 6.96497670e-16 4.12417641e-17 -3.37075542e-12 -1.92009583e-14 7.06461426e-09]] LogLike[0242]=-3095.732294 sigma_a=0.195549 R: [[24.73536142 0.52644694] [ 0.52644694 25.90361637]] m0: [ 3.55551026 -1.80940679 0.12136607 -0.32095052 0.70995231 -0.68009798] V0: [[ 2.14842813e-06 -2.65031375e-11 -1.33889098e-12 2.44592605e-11 5.76567048e-14 2.61284776e-14] [-2.65031375e-11 3.55428279e-08 -5.17296262e-14 3.93151560e-13 1.28624843e-15 7.00824500e-16] [-1.33889098e-12 -5.17296262e-14 3.54065305e-09 1.69531408e-14 6.66851616e-17 4.15262884e-17] [ 2.44592605e-11 3.93151560e-13 1.69531408e-14 2.78075136e-06 -6.36163293e-12 -3.38905636e-12] [ 5.76567048e-14 1.28624843e-15 6.66851616e-17 -6.36163293e-12 6.74803291e-09 -1.93230726e-14] [ 2.61284776e-14 7.00824500e-16 4.15262884e-17 -3.38905636e-12 -1.93230726e-14 7.06461408e-09]] LogLike[0243]=-3095.691575 sigma_a=0.195026 R: [[24.73536502 0.52619639] [ 0.52619639 25.90413695]] m0: [ 3.55550994 -1.8094068 0.12136607 -0.32095033 0.70995231 -0.68009798] V0: [[ 2.14842322e-06 -2.66140267e-11 -1.34615745e-12 2.45664291e-11 5.79411483e-14 2.62736461e-14] [-2.66140267e-11 3.55428241e-08 -5.20579300e-14 3.95091184e-13 1.29336846e-15 7.05163774e-16] [-1.34615745e-12 -5.20579300e-14 3.54065301e-09 1.70473381e-14 6.70980637e-17 4.18118757e-17] [ 2.45664291e-11 3.95091184e-13 1.70473381e-14 2.78074344e-06 -6.38806073e-12 -3.40740335e-12] [ 5.79411483e-14 1.29336846e-15 6.70980637e-17 -6.38806073e-12 6.74803278e-09 -1.94455956e-14] [ 2.62736461e-14 7.05163774e-16 4.18118757e-17 -3.40740335e-12 -1.94455956e-14 7.06461390e-09]] LogLike[0244]=-3095.651214 sigma_a=0.194507 R: [[24.73536873 0.52592527] [ 0.52592527 25.90470344]] m0: [ 3.55550963 -1.80940681 0.12136607 -0.32095013 0.70995231 -0.68009798] V0: [[ 2.14841830e-06 -2.67251172e-11 -1.35344387e-12 2.46736435e-11 5.82259681e-14 2.64191434e-14] [-2.67251172e-11 3.55428204e-08 -5.23874295e-14 3.97033374e-13 1.30050443e-15 7.09516839e-16] [-1.35344387e-12 -5.23874295e-14 3.54065296e-09 1.71417487e-14 6.75122781e-17 4.20986371e-17] [ 2.46736435e-11 3.97033374e-13 1.71417487e-14 2.78073551e-06 -6.41453615e-12 -3.42580049e-12] [ 5.82259681e-14 1.30050443e-15 6.75122781e-17 -6.41453615e-12 6.74803264e-09 -1.95685639e-14] [ 2.64191434e-14 7.09516839e-16 4.20986371e-17 -3.42580049e-12 -1.95685639e-14 7.06461373e-09]] LogLike[0245]=-3095.612555 sigma_a=0.194011 R: [[24.73537237 0.52565529] [ 0.52565529 25.90527086]] m0: [ 3.55550931 -1.80940682 0.12136607 -0.32094993 0.70995231 -0.68009798] V0: [[ 2.14841338e-06 -2.68364082e-11 -1.36075016e-12 2.47808986e-11 5.85111497e-14 2.65649618e-14] [-2.68364082e-11 3.55428167e-08 -5.27181216e-14 3.98978032e-13 1.30765596e-15 7.13883460e-16] [-1.36075016e-12 -5.27181216e-14 3.54065292e-09 1.72363679e-14 6.79277825e-17 4.23865574e-17] [ 2.47808986e-11 3.98978032e-13 1.72363679e-14 2.78072758e-06 -6.44105892e-12 -3.44424759e-12] [ 5.85111497e-14 1.30765596e-15 6.79277825e-17 -6.44105892e-12 6.74803251e-09 -1.96919763e-14] [ 2.65649618e-14 7.13883460e-16 4.23865574e-17 -3.44424759e-12 -1.96919763e-14 7.06461355e-09]] LogLike[0246]=-3095.573432 sigma_a=0.193508 R: [[24.73537577 0.52539585] [ 0.52539585 25.90581926]] m0: [ 3.555509 -1.80940683 0.12136607 -0.32094973 0.70995231 -0.68009798] V0: [[ 2.14840846e-06 -2.69478919e-11 -1.36807557e-12 2.48881908e-11 5.87966736e-14 2.67110862e-14] [-2.69478919e-11 3.55428130e-08 -5.30499626e-14 4.00925024e-13 1.31482232e-15 7.18263051e-16] [-1.36807557e-12 -5.30499626e-14 3.54065287e-09 1.73311856e-14 6.83445211e-17 4.26755892e-17] [ 2.48881908e-11 4.00925024e-13 1.73311856e-14 2.78071964e-06 -6.46762723e-12 -3.46274276e-12] [ 5.87966736e-14 1.31482232e-15 6.83445211e-17 -6.46762723e-12 6.74803238e-09 -1.98158166e-14] [ 2.67110862e-14 7.18263051e-16 4.26755892e-17 -3.46274276e-12 -1.98158166e-14 7.06461337e-09]] LogLike[0247]=-3095.537928 sigma_a=0.193052 R: [[24.7353791 0.52513314] [ 0.52513314 25.90637768]] m0: [ 3.55550869 -1.80940684 0.12136607 -0.32094953 0.70995231 -0.68009798] V0: [[ 2.14840353e-06 -2.70595716e-11 -1.37542044e-12 2.49955235e-11 5.90825530e-14 2.68575260e-14] [-2.70595716e-11 3.55428092e-08 -5.33829733e-14 4.02874442e-13 1.32200396e-15 7.22655961e-16] [-1.37542044e-12 -5.33829733e-14 3.54065283e-09 1.74262081e-14 6.87625272e-17 4.29657611e-17] [ 2.49955235e-11 4.02874442e-13 1.74262081e-14 2.78071169e-06 -6.49424182e-12 -3.48128685e-12] [ 5.90825530e-14 1.32200396e-15 6.87625272e-17 -6.49424182e-12 6.74803225e-09 -1.99400924e-14] [ 2.68575260e-14 7.22655961e-16 4.29657611e-17 -3.48128685e-12 -1.99400924e-14 7.06461319e-09]] LogLike[0248]=-3095.500360 sigma_a=0.192570 R: [[24.73538212 0.52489345] [ 0.52489345 25.90688991]] m0: [ 3.55550837 -1.80940685 0.12136607 -0.32094933 0.70995232 -0.68009797] V0: [[ 2.14839859e-06 -2.71714297e-11 -1.38278305e-12 2.51028874e-11 5.93687408e-14 2.70042452e-14] [-2.71714297e-11 3.55428054e-08 -5.37170516e-14 4.04825963e-13 1.32919915e-15 7.27060786e-16] [-1.38278305e-12 -5.37170516e-14 3.54065278e-09 1.75214119e-14 6.91816672e-17 4.32569585e-17] [ 2.51028874e-11 4.04825963e-13 1.75214119e-14 2.78070374e-06 -6.52089853e-12 -3.49987551e-12] [ 5.93687408e-14 1.32919915e-15 6.91816672e-17 -6.52089853e-12 6.74803212e-09 -2.00647657e-14] [ 2.70042452e-14 7.27060786e-16 4.32569585e-17 -3.49987551e-12 -2.00647657e-14 7.06461301e-09]] LogLike[0249]=-3095.464592 sigma_a=0.192110 R: [[24.73538516 0.5246404 ] [ 0.5246404 25.90743346]] m0: [ 3.55550806 -1.80940686 0.12136607 -0.32094914 0.70995232 -0.68009797] V0: [[ 2.14839366e-06 -2.72834774e-11 -1.39016453e-12 2.52102926e-11 5.96552782e-14 2.71512726e-14] [-2.72834774e-11 3.55428017e-08 -5.40522657e-14 4.06779868e-13 1.33640927e-15 7.31478621e-16] [-1.39016453e-12 -5.40522657e-14 3.54065273e-09 1.76168158e-14 6.96020452e-17 4.35492696e-17] [ 2.52102926e-11 4.06779868e-13 1.76168158e-14 2.78069578e-06 -6.54760005e-12 -3.51851159e-12] [ 5.96552782e-14 1.33640927e-15 6.96020452e-17 -6.54760006e-12 6.74803198e-09 -2.01898620e-14] [ 2.71512726e-14 7.31478621e-16 4.35492696e-17 -3.51851159e-12 -2.01898620e-14 7.06461283e-09]] LogLike[0250]=-3095.428265 sigma_a=0.191644 R: [[24.73538805 0.52439828] [ 0.52439828 25.90795631]] m0: [ 3.55550775 -1.80940687 0.12136607 -0.32094894 0.70995232 -0.68009797] V0: [[ 2.14838871e-06 -2.73957063e-11 -1.39756405e-12 2.53177319e-11 5.99421356e-14 2.72985876e-14] [-2.73957063e-11 3.55427979e-08 -5.43885674e-14 4.08735956e-13 1.34363334e-15 7.35908693e-16] [-1.39756405e-12 -5.43885674e-14 3.54065269e-09 1.77124063e-14 7.00235877e-17 4.38426333e-17] [ 2.53177319e-11 4.08735956e-13 1.77124063e-14 2.78068781e-06 -6.57434436e-12 -3.53719301e-12] [ 5.99421356e-14 1.34363334e-15 7.00235877e-17 -6.57434436e-12 6.74803185e-09 -2.03153633e-14] [ 2.72985876e-14 7.35908693e-16 4.38426333e-17 -3.53719301e-12 -2.03153633e-14 7.06461265e-09]] LogLike[0251]=-3095.388171 sigma_a=0.191129 R: [[24.7353909 0.52415229] [ 0.52415229 25.9084902 ]] m0: [ 3.55550744 -1.80940687 0.12136607 -0.32094874 0.70995232 -0.68009797] V0: [[ 2.14838377e-06 -2.75081199e-11 -1.40498198e-12 2.54252094e-11 6.02293277e-14 2.74462004e-14] [-2.75081199e-11 3.55427941e-08 -5.47259799e-14 4.10694327e-13 1.35087184e-15 7.40351390e-16] [-1.40498198e-12 -5.47259799e-14 3.54065264e-09 1.78081902e-14 7.04463317e-17 4.41370815e-17] [ 2.54252094e-11 4.10694327e-13 1.78081902e-14 2.78067983e-06 -6.60113231e-12 -3.55592072e-12] [ 6.02293277e-14 1.35087184e-15 7.04463317e-17 -6.60113232e-12 6.74803172e-09 -2.04412781e-14] [ 2.74462004e-14 7.40351390e-16 4.41370815e-17 -3.55592072e-12 -2.04412781e-14 7.06461246e-09]] LogLike[0252]=-3095.352520 sigma_a=0.190671 R: [[24.73539395 0.5238808 ] [ 0.5238808 25.90908261]] m0: [ 3.55550714 -1.80940688 0.12136607 -0.32094854 0.70995232 -0.68009797] V0: [[ 2.14837882e-06 -2.76207384e-11 -1.41242034e-12 2.55327338e-11 6.05169035e-14 2.75941500e-14] [-2.76207385e-11 3.55427903e-08 -5.50646257e-14 4.12655314e-13 1.35812667e-15 7.44808294e-16] [-1.41242034e-12 -5.50646257e-14 3.54065259e-09 1.79041927e-14 7.08704276e-17 4.44327469e-17] [ 2.55327338e-11 4.12655314e-13 1.79041927e-14 2.78067185e-06 -6.62796869e-12 -3.57469980e-12] [ 6.05169035e-14 1.35812667e-15 7.08704276e-17 -6.62796869e-12 6.74803158e-09 -2.05676523e-14] [ 2.75941500e-14 7.44808294e-16 4.44327469e-17 -3.57469980e-12 -2.05676523e-14 7.06461228e-09]] LogLike[0253]=-3095.315517 sigma_a=0.190197 R: [[24.73539675 0.52363737] [ 0.52363737 25.90961671]] m0: [ 3.55550683 -1.80940689 0.12136607 -0.32094834 0.70995232 -0.68009797] V0: [[ 2.14837386e-06 -2.77335398e-11 -1.41987696e-12 2.56402887e-11 6.08047914e-14 2.77423849e-14] [-2.77335398e-11 3.55427865e-08 -5.54043744e-14 4.14618431e-13 1.36539532e-15 7.49277432e-16] [-1.41987696e-12 -5.54043744e-14 3.54065255e-09 1.80003803e-14 7.12956878e-17 4.47294708e-17] [ 2.56402887e-11 4.14618431e-13 1.80003803e-14 2.78066387e-06 -6.65484821e-12 -3.59352473e-12] [ 6.08047914e-14 1.36539532e-15 7.12956878e-17 -6.65484821e-12 6.74803145e-09 -2.06944370e-14] [ 2.77423849e-14 7.49277432e-16 4.47294708e-17 -3.59352473e-12 -2.06944370e-14 7.06461210e-09]] LogLike[0254]=-3095.277392 sigma_a=0.189707 R: [[24.73539953 0.52338527] [ 0.52338527 25.91017261]] m0: [ 3.55550652 -1.8094069 0.12136607 -0.32094814 0.70995233 -0.68009797] V0: [[ 2.14836891e-06 -2.78465317e-11 -1.42735262e-12 2.57478837e-11 6.10930268e-14 2.78909286e-14] [-2.78465317e-11 3.55427827e-08 -5.57452745e-14 4.16583916e-13 1.37267894e-15 7.53759680e-16] [-1.42735262e-12 -5.57452745e-14 3.54065250e-09 1.80967684e-14 7.17221955e-17 4.50273226e-17] [ 2.57478837e-11 4.16583916e-13 1.80967684e-14 2.78065587e-06 -6.68177274e-12 -3.61239752e-12] [ 6.10930268e-14 1.37267894e-15 7.17221955e-17 -6.68177274e-12 6.74803132e-09 -2.08216505e-14] [ 2.78909286e-14 7.53759680e-16 4.50273226e-17 -3.61239752e-12 -2.08216505e-14 7.06461191e-09]] LogLike[0255]=-3095.239778 sigma_a=0.189224 R: [[24.73540237 0.52312492] [ 0.52312492 25.91074977]] m0: [ 3.55550622 -1.80940691 0.12136607 -0.32094794 0.70995233 -0.68009797] V0: [[ 2.14836394e-06 -2.79597208e-11 -1.43484799e-12 2.58555201e-11 6.13816210e-14 2.80397917e-14] [-2.79597208e-11 3.55427789e-08 -5.60873680e-14 4.18551850e-13 1.37997804e-15 7.58255502e-16] [-1.43484799e-12 -5.60873680e-14 3.54065245e-09 1.81933638e-14 7.21499949e-17 4.53263437e-17] [ 2.58555201e-11 4.18551850e-13 1.81933638e-14 2.78064787e-06 -6.70874384e-12 -3.63131986e-12] [ 6.13816210e-14 1.37997804e-15 7.21499949e-17 -6.70874384e-12 6.74803118e-09 -2.09493083e-14] [ 2.80397917e-14 7.58255502e-16 4.53263437e-17 -3.63131986e-12 -2.09493083e-14 7.06461172e-09]] LogLike[0256]=-3095.203534 sigma_a=0.188759 R: [[24.73540518 0.52286715] [ 0.52286715 25.91132423]] m0: [ 3.55550591 -1.80940692 0.12136607 -0.32094774 0.70995233 -0.68009797] V0: [[ 2.14835898e-06 -2.80731052e-11 -1.44236292e-12 2.59631948e-11 6.16705641e-14 2.81889682e-14] [-2.80731052e-11 3.55427750e-08 -5.64306457e-14 4.20522164e-13 1.38729233e-15 7.62764689e-16] [-1.44236292e-12 -5.64306457e-14 3.54065241e-09 1.82901627e-14 7.25790663e-17 4.56265189e-17] [ 2.59631948e-11 4.20522164e-13 1.82901627e-14 2.78063986e-06 -6.73576107e-12 -3.65029134e-12] [ 6.16705641e-14 1.38729233e-15 7.25790663e-17 -6.73576107e-12 6.74803105e-09 -2.10774070e-14] [ 2.81889682e-14 7.62764689e-16 4.56265189e-17 -3.65029134e-12 -2.10774070e-14 7.06461154e-09]] LogLike[0257]=-3095.167800 sigma_a=0.188301 R: [[24.73540789 0.52261802] [ 0.52261802 25.91188232]] m0: [ 3.55550561 -1.80940693 0.12136607 -0.32094754 0.70995233 -0.68009797] V0: [[ 2.14835400e-06 -2.81866787e-11 -1.44989677e-12 2.60709053e-11 6.19598409e-14 2.83384459e-14] [-2.81866787e-11 3.55427712e-08 -5.67750712e-14 4.22494753e-13 1.39462121e-15 7.67286766e-16] [-1.44989677e-12 -5.67750712e-14 3.54065236e-09 1.83871570e-14 7.30093641e-17 4.59278093e-17] [ 2.60709053e-11 4.22494753e-13 1.83871570e-14 2.78063185e-06 -6.76282290e-12 -3.66931038e-12] [ 6.19598409e-14 1.39462122e-15 7.30093641e-17 -6.76282290e-12 6.74803091e-09 -2.12059331e-14] [ 2.83384459e-14 7.67286766e-16 4.59278093e-17 -3.66931038e-12 -2.12059331e-14 7.06461135e-09]] LogLike[0258]=-3095.130211 sigma_a=0.187818 R: [[24.73541055 0.52237201] [ 0.52237201 25.9124362 ]] m0: [ 3.55550531 -1.80940694 0.12136607 -0.32094733 0.70995233 -0.68009797] V0: [[ 2.14834903e-06 -2.83004391e-11 -1.45744939e-12 2.61786522e-11 6.22494508e-14 2.84882236e-14] [-2.83004391e-11 3.55427673e-08 -5.71206349e-14 4.24469614e-13 1.40196464e-15 7.71821664e-16] [-1.45744939e-12 -5.71206349e-14 3.54065231e-09 1.84843461e-14 7.34408822e-17 4.62302092e-17] [ 2.61786522e-11 4.24469614e-13 1.84843461e-14 2.78062383e-06 -6.78992890e-12 -3.68837655e-12] [ 6.22494508e-14 1.40196464e-15 7.34408822e-17 -6.78992890e-12 6.74803077e-09 -2.13348829e-14] [ 2.84882236e-14 7.71821664e-16 4.62302092e-17 -3.68837655e-12 -2.13348829e-14 7.06461116e-09]] LogLike[0259]=-3095.095575 sigma_a=0.187374 R: [[24.73541331 0.52211311] [ 0.52211311 25.91302203]] m0: [ 3.555505 -1.80940695 0.12136607 -0.32094713 0.70995233 -0.68009797] V0: [[ 2.14834405e-06 -2.84143973e-11 -1.46502183e-12 2.62864412e-11 6.25394221e-14 2.86383232e-14] [-2.84143973e-11 3.55427634e-08 -5.74674028e-14 4.26446941e-13 1.40932367e-15 7.76370273e-16] [-1.46502183e-12 -5.74674028e-14 3.54065226e-09 1.85817442e-14 7.38737049e-17 4.65337933e-17] [ 2.62864412e-11 4.26446941e-13 1.85817442e-14 2.78061580e-06 -6.81708158e-12 -3.70749256e-12] [ 6.25394221e-14 1.40932367e-15 7.38737049e-17 -6.81708158e-12 6.74803064e-09 -2.14642810e-14] [ 2.86383232e-14 7.76370273e-16 4.65337933e-17 -3.70749256e-12 -2.14642810e-14 7.06461097e-09]] LogLike[0260]=-3095.058945 sigma_a=0.186904 R: [[24.73541594 0.5218731 ] [ 0.5218731 25.91356788]] m0: [ 3.5555047 -1.80940696 0.12136607 -0.32094693 0.70995234 -0.68009796] V0: [[ 2.14833906e-06 -2.85285382e-11 -1.47261264e-12 2.63942622e-11 6.28297091e-14 2.87887111e-14] [-2.85285382e-11 3.55427596e-08 -5.78152867e-14 4.28426420e-13 1.41669667e-15 7.80931293e-16] [-1.47261264e-12 -5.78152867e-14 3.54065222e-09 1.86793294e-14 7.43077088e-17 4.68384561e-17] [ 2.63942622e-11 4.28426420e-13 1.86793294e-14 2.78060776e-06 -6.84427738e-12 -3.72665469e-12] [ 6.28297091e-14 1.41669667e-15 7.43077088e-17 -6.84427738e-12 6.74803050e-09 -2.15940946e-14] [ 2.87887111e-14 7.80931293e-16 4.68384561e-17 -3.72665469e-12 -2.15940946e-14 7.06461078e-09]] LogLike[0261]=-3095.026977 sigma_a=0.186494 R: [[24.73541866 0.52161969] [ 0.52161969 25.91414703]] m0: [ 3.5555044 -1.80940696 0.12136607 -0.32094673 0.70995234 -0.68009796] V0: [[ 2.14833408e-06 -2.86428733e-11 -1.48022296e-12 2.65021245e-11 6.31203511e-14 2.89394157e-14] [-2.86428733e-11 3.55427557e-08 -5.81643576e-14 4.30408321e-13 1.42408501e-15 7.85505820e-16] [-1.48022296e-12 -5.81643576e-14 3.54065217e-09 1.87771201e-14 7.47429980e-17 4.71442875e-17] [ 2.65021245e-11 4.30408321e-13 1.87771201e-14 2.78059972e-06 -6.87151903e-12 -3.74586586e-12] [ 6.31203511e-14 1.42408501e-15 7.47429980e-17 -6.87151904e-12 6.74803036e-09 -2.17243502e-14] [ 2.89394157e-14 7.85505820e-16 4.71442875e-17 -3.74586586e-12 -2.17243502e-14 7.06461059e-09]] LogLike[0262]=-3094.994038 sigma_a=0.186071 R: [[24.73542116 0.52139681] [ 0.52139681 25.91465887]] m0: [ 3.5555041 -1.80940697 0.12136607 -0.32094653 0.70995234 -0.68009796] V0: [[ 2.14832908e-06 -2.87573783e-11 -1.48785038e-12 2.66100133e-11 6.34112782e-14 2.90903844e-14] [-2.87573784e-11 3.55427518e-08 -5.85144701e-14 4.32392166e-13 1.43148616e-15 7.90091793e-16] [-1.48785038e-12 -5.85144701e-14 3.54065212e-09 1.88750823e-14 7.51793764e-17 4.74511180e-17] [ 2.66100133e-11 4.32392166e-13 1.88750823e-14 2.78059168e-06 -6.89880077e-12 -3.76511999e-12] [ 6.34112782e-14 1.43148616e-15 7.51793764e-17 -6.89880077e-12 6.74803023e-09 -2.18549934e-14] [ 2.90903844e-14 7.90091793e-16 4.74511180e-17 -3.76511999e-12 -2.18549934e-14 7.06461040e-09]] LogLike[0263]=-3094.961068 sigma_a=0.185648 R: [[24.73542367 0.52116777] [ 0.52116777 25.91518714]] m0: [ 3.5555038 -1.80940698 0.12136607 -0.32094633 0.70995234 -0.68009796] V0: [[ 2.14832409e-06 -2.88720593e-11 -1.49549552e-12 2.67179380e-11 6.37025227e-14 2.92416381e-14] [-2.88720593e-11 3.55427479e-08 -5.88656614e-14 4.34378176e-13 1.43890112e-15 7.94689969e-16] [-1.49549552e-12 -5.88656614e-14 3.54065207e-09 1.89732295e-14 7.56169161e-17 4.77590073e-17] [ 2.67179380e-11 4.34378176e-13 1.89732295e-14 2.78058362e-06 -6.92612402e-12 -3.78441860e-12] [ 6.37025227e-14 1.43890112e-15 7.56169161e-17 -6.92612402e-12 6.74803009e-09 -2.19860382e-14] [ 2.92416381e-14 7.94689969e-16 4.77590073e-17 -3.78441860e-12 -2.19860382e-14 7.06461021e-09]] LogLike[0264]=-3094.926796 sigma_a=0.185208 R: [[24.73542622 0.52093788] [ 0.52093788 25.9157198 ]] m0: [ 3.55550351 -1.80940699 0.12136607 -0.32094612 0.70995234 -0.68009796] V0: [[ 2.14831909e-06 -2.89869170e-11 -1.50315846e-12 2.68258976e-11 6.39940826e-14 2.93931766e-14] [-2.89869170e-11 3.55427440e-08 -5.92179384e-14 4.36366338e-13 1.44632989e-15 7.99300369e-16] [-1.50315846e-12 -5.92179384e-14 3.54065202e-09 1.90715616e-14 7.60556191e-17 4.80679589e-17] [ 2.68258976e-11 4.36366338e-13 1.90715616e-14 2.78057556e-06 -6.95348898e-12 -3.80376194e-12] [ 6.39940826e-14 1.44632989e-15 7.60556191e-17 -6.95348898e-12 6.74802995e-09 -2.21174872e-14] [ 2.93931766e-14 7.99300369e-16 4.80679589e-17 -3.80376194e-12 -2.21174872e-14 7.06461002e-09]] LogLike[0265]=-3094.890096 sigma_a=0.184738 R: [[24.7354289 0.52069863] [ 0.52069863 25.91627667]] m0: [ 3.55550321 -1.809407 0.12136607 -0.32094592 0.70995234 -0.68009796] V0: [[ 2.14831409e-06 -2.91019590e-11 -1.51083999e-12 2.69338952e-11 6.42859766e-14 2.95450150e-14] [-2.91019590e-11 3.55427401e-08 -5.95713501e-14 4.38356779e-13 1.45377319e-15 8.03923620e-16] [-1.51083999e-12 -5.95713501e-14 3.54065197e-09 1.91700883e-14 7.64955450e-17 4.83780268e-17] [ 2.69338952e-11 4.38356779e-13 1.91700883e-14 2.78056750e-06 -6.98089747e-12 -3.82315201e-12] [ 6.42859766e-14 1.45377319e-15 7.64955450e-17 -6.98089747e-12 6.74802981e-09 -2.22493586e-14] [ 2.95450150e-14 8.03923620e-16 4.83780268e-17 -3.82315201e-12 -2.22493586e-14 7.06460982e-09]] LogLike[0266]=-3094.855020 sigma_a=0.184288 R: [[24.73543181 0.52044204] [ 0.52044204 25.91687678]] m0: [ 3.55550291 -1.80940701 0.12136607 -0.32094572 0.70995235 -0.68009796] V0: [[ 2.14830908e-06 -2.92171994e-11 -1.51854154e-12 2.70419355e-11 6.45782345e-14 2.96971783e-14] [-2.92171994e-11 3.55427361e-08 -5.99259840e-14 4.40349700e-13 1.46123225e-15 8.08560777e-16] [-1.51854154e-12 -5.99259840e-14 3.54065192e-09 1.92688260e-14 7.69367944e-17 4.86893020e-17] [ 2.70419355e-11 4.40349700e-13 1.92688260e-14 2.78055943e-06 -7.00835280e-12 -3.84259238e-12] [ 6.45782345e-14 1.46123225e-15 7.69367944e-17 -7.00835280e-12 6.74802968e-09 -2.23816851e-14] [ 2.96971783e-14 8.08560777e-16 4.86893020e-17 -3.84259238e-12 -2.23816851e-14 7.06460963e-09]] LogLike[0267]=-3094.822388 sigma_a=0.183869 R: [[24.7354347 0.52019544] [ 0.52019544 25.91745638]] m0: [ 3.55550262 -1.80940702 0.12136607 -0.32094552 0.70995235 -0.68009796] V0: [[ 2.14830406e-06 -2.93326302e-11 -1.52626232e-12 2.71500107e-11 6.48708250e-14 2.98496454e-14] [-2.93326302e-11 3.55427322e-08 -6.02817930e-14 4.42344891e-13 1.46870602e-15 8.13211043e-16] [-1.52626232e-12 -6.02817930e-14 3.54065187e-09 1.93677607e-14 7.73792911e-17 4.90017214e-17] [ 2.71500107e-11 4.42344891e-13 1.93677607e-14 2.78055135e-06 -7.03585302e-12 -3.86208103e-12] [ 6.48708250e-14 1.46870602e-15 7.73792911e-17 -7.03585302e-12 6.74802954e-09 -2.25144490e-14] [ 2.98496454e-14 8.13211043e-16 4.90017214e-17 -3.86208103e-12 -2.25144490e-14 7.06460943e-09]] LogLike[0268]=-3094.790388 sigma_a=0.183458 R: [[24.73543747 0.51996529] [ 0.51996529 25.91799981]] m0: [ 3.55550232 -1.80940703 0.12136607 -0.32094531 0.70995235 -0.68009796] V0: [[ 2.14829905e-06 -2.94482386e-11 -1.53400106e-12 2.72581167e-11 6.51637214e-14 3.00023936e-14] [-2.94482386e-11 3.55427282e-08 -6.06387011e-14 4.44342169e-13 1.47619342e-15 8.17873493e-16] [-1.53400106e-12 -6.06387011e-14 3.54065183e-09 1.94668781e-14 7.78229473e-17 4.93152068e-17] [ 2.72581167e-11 4.44342169e-13 1.94668781e-14 2.78054326e-06 -7.06339515e-12 -3.88161480e-12] [ 6.51637214e-14 1.47619342e-15 7.78229473e-17 -7.06339516e-12 6.74802940e-09 -2.26476219e-14] [ 3.00023936e-14 8.17873493e-16 4.93152068e-17 -3.88161480e-12 -2.26476219e-14 7.06460924e-09]] LogLike[0269]=-3094.757118 sigma_a=0.183031 R: [[24.73544022 0.51973945] [ 0.51973945 25.91853538]] m0: [ 3.55550203 -1.80940703 0.12136607 -0.32094511 0.70995235 -0.68009796] V0: [[ 2.14829403e-06 -2.95640220e-11 -1.54175750e-12 2.73662556e-11 6.54569259e-14 3.01554224e-14] [-2.95640220e-11 3.55427243e-08 -6.09966928e-14 4.46341547e-13 1.48369441e-15 8.22548061e-16] [-1.54175750e-12 -6.09966928e-14 3.54065178e-09 1.95661775e-14 7.82677567e-17 4.96297508e-17] [ 2.73662556e-11 4.46341547e-13 1.95661775e-14 2.78053517e-06 -7.09097855e-12 -3.90119303e-12] [ 6.54569259e-14 1.48369441e-15 7.82677567e-17 -7.09097856e-12 6.74802926e-09 -2.27811982e-14] [ 3.01554224e-14 8.22548061e-16 4.96297508e-17 -3.90119303e-12 -2.27811982e-14 7.06460904e-09]] LogLike[0270]=-3094.724155 sigma_a=0.182608 R: [[24.73544312 0.51950452] [ 0.51950452 25.91909493]] m0: [ 3.55550174 -1.80940704 0.12136607 -0.32094491 0.70995235 -0.68009796] V0: [[ 2.14828900e-06 -2.96799880e-11 -1.54953243e-12 2.74744318e-11 6.57504600e-14 3.03087485e-14] [-2.96799880e-11 3.55427203e-08 -6.13558172e-14 4.48343174e-13 1.49120982e-15 8.27235421e-16] [-1.54953243e-12 -6.13558172e-14 3.54065173e-09 1.96656699e-14 7.87137835e-17 4.99454106e-17] [ 2.74744318e-11 4.48343175e-13 1.96656699e-14 2.78052707e-06 -7.11860505e-12 -3.92081770e-12] [ 6.57504600e-14 1.49120982e-15 7.87137835e-17 -7.11860505e-12 6.74802912e-09 -2.29151961e-14] [ 3.03087485e-14 8.27235421e-16 4.99454106e-17 -3.92081770e-12 -2.29151961e-14 7.06460884e-09]] LogLike[0271]=-3094.689703 sigma_a=0.182166 R: [[24.73544608 0.51927093] [ 0.51927093 25.9196538 ]] m0: [ 3.55550145 -1.80940705 0.12136607 -0.3209447 0.70995235 -0.68009796] V0: [[ 2.14828398e-06 -2.97961357e-11 -1.55732577e-12 2.75826428e-11 6.60443155e-14 3.04623669e-14] [-2.97961357e-11 3.55427163e-08 -6.17160702e-14 4.50346993e-13 1.49873940e-15 8.31935419e-16] [-1.55732577e-12 -6.17160702e-14 3.54065168e-09 1.97653522e-14 7.91610129e-17 5.02621756e-17] [ 2.75826428e-11 4.50346993e-13 1.97653522e-14 2.78051897e-06 -7.14627440e-12 -3.94048860e-12] [ 6.60443155e-14 1.49873940e-15 7.91610129e-17 -7.14627440e-12 6.74802898e-09 -2.30496141e-14] [ 3.04623669e-14 8.31935419e-16 5.02621756e-17 -3.94048860e-12 -2.30496141e-14 7.06460865e-09]] LogLike[0272]=-3094.656694 sigma_a=0.181743 R: [[24.73544924 0.51902657] [ 0.51902657 25.92024104]] m0: [ 3.55550116 -1.80940706 0.12136607 -0.3209445 0.70995236 -0.68009796] V0: [[ 2.14827894e-06 -2.99124739e-11 -1.56513843e-12 2.76908929e-11 6.63385155e-14 3.06162964e-14] [-2.99124739e-11 3.55427123e-08 -6.20775092e-14 4.52353162e-13 1.50628405e-15 8.36648812e-16] [-1.56513843e-12 -6.20775092e-14 3.54065163e-09 1.98652362e-14 7.96095170e-17 5.05801106e-17] [ 2.76908929e-11 4.52353162e-13 1.98652362e-14 2.78051086e-06 -7.17398873e-12 -3.96020807e-12] [ 6.63385155e-14 1.50628405e-15 7.96095170e-17 -7.17398873e-12 6.74802884e-09 -2.31844737e-14] [ 3.06162964e-14 8.36648812e-16 5.05801106e-17 -3.96020807e-12 -2.31844737e-14 7.06460845e-09]] LogLike[0273]=-3094.625354 sigma_a=0.181340 R: [[24.73545241 0.51879132] [ 0.51879132 25.92080898]] m0: [ 3.55550087 -1.80940707 0.12136607 -0.32094429 0.70995236 -0.68009795] V0: [[ 2.14827391e-06 -3.00289955e-11 -1.57296971e-12 2.77991763e-11 6.66330347e-14 3.07705186e-14] [-3.00289955e-11 3.55427083e-08 -6.24400911e-14 4.54361508e-13 1.51384289e-15 8.41374915e-16] [-1.57296971e-12 -6.24400911e-14 3.54065157e-09 1.99653104e-14 8.00592306e-17 5.08991606e-17] [ 2.77991763e-11 4.54361508e-13 1.99653104e-14 2.78050274e-06 -7.20174630e-12 -3.97997427e-12] [ 6.66330347e-14 1.51384289e-15 8.00592306e-17 -7.20174630e-12 6.74802870e-09 -2.33197585e-14] [ 3.07705186e-14 8.41374915e-16 5.08991606e-17 -3.97997427e-12 -2.33197585e-14 7.06460825e-09]] LogLike[0274]=-3094.594406 sigma_a=0.180943 R: [[24.73545551 0.51856738] [ 0.51856738 25.92135193]] m0: [ 3.55550058 -1.80940708 0.12136607 -0.32094409 0.70995236 -0.68009795] V0: [[ 2.14826887e-06 -3.01456918e-11 -1.58081874e-12 2.79074905e-11 6.69278562e-14 3.09250192e-14] [-3.01456918e-11 3.55427043e-08 -6.28037639e-14 4.56371916e-13 1.52141522e-15 8.46113116e-16] [-1.58081874e-12 -6.28037639e-14 3.54065152e-09 2.00655652e-14 8.05100956e-17 5.12192733e-17] [ 2.79074905e-11 4.56371916e-13 2.00655652e-14 2.78049462e-06 -7.22954506e-12 -3.99978503e-12] [ 6.69278562e-14 1.52141522e-15 8.05100956e-17 -7.22954506e-12 6.74802856e-09 -2.34554494e-14] [ 3.09250192e-14 8.46113116e-16 5.12192733e-17 -3.99978503e-12 -2.34554494e-14 7.06460805e-09]] LogLike[0275]=-3094.563069 sigma_a=0.180541 R: [[24.73545865 0.51834601] [ 0.51834601 25.92189086]] m0: [ 3.55550029 -1.80940708 0.12136607 -0.32094389 0.70995236 -0.68009795] V0: [[ 2.14826382e-06 -3.02625613e-11 -1.58868537e-12 2.80158373e-11 6.72229822e-14 3.10797983e-14] [-3.02625613e-11 3.55427003e-08 -6.31685196e-14 4.58384401e-13 1.52900105e-15 8.50863403e-16] [-1.58868537e-12 -6.31685196e-14 3.54065147e-09 2.01660008e-14 8.09621107e-17 5.15404468e-17] [ 2.80158373e-11 4.58384401e-13 2.01660008e-14 2.78048649e-06 -7.25738466e-12 -4.01964000e-12] [ 6.72229822e-14 1.52900105e-15 8.09621107e-17 -7.25738467e-12 6.74802841e-09 -2.35915433e-14] [ 3.10797983e-14 8.50863403e-16 5.15404468e-17 -4.01964000e-12 -2.35915433e-14 7.06460785e-09]] LogLike[0276]=-3094.531803 sigma_a=0.180140 R: [[24.7354619 0.51812152] [ 0.51812152 25.92243962]] m0: [ 3.5555 -1.80940709 0.12136607 -0.32094368 0.70995236 -0.68009795] V0: [[ 2.14825877e-06 -3.03796068e-11 -1.59656991e-12 2.81242183e-11 6.75184212e-14 3.12348624e-14] [-3.03796068e-11 3.55426963e-08 -6.35343776e-14 4.60399021e-13 1.53660069e-15 8.55626043e-16] [-1.59656991e-12 -6.35343776e-14 3.54065142e-09 2.02666215e-14 8.14153013e-17 5.18627042e-17] [ 2.81242183e-11 4.60399021e-13 2.02666215e-14 2.78047835e-06 -7.28526579e-12 -4.03953995e-12] [ 6.75184212e-14 1.53660069e-15 8.14153013e-17 -7.28526579e-12 6.74802827e-09 -2.37280475e-14] [ 3.12348624e-14 8.55626043e-16 5.18627042e-17 -4.03953995e-12 -2.37280475e-14 7.06460764e-09]] LogLike[0277]=-3094.500608 sigma_a=0.179739 R: [[24.73546526 0.51789695] [ 0.51789695 25.92299087]] m0: [ 3.55549971 -1.8094071 0.12136607 -0.32094348 0.70995236 -0.68009795] V0: [[ 2.14825372e-06 -3.04968286e-11 -1.60447240e-12 2.82326329e-11 6.78141715e-14 3.13902111e-14] [-3.04968286e-11 3.55426923e-08 -6.39013413e-14 4.62415764e-13 1.54421413e-15 8.60401037e-16] [-1.60447240e-12 -6.39013413e-14 3.54065137e-09 2.03674269e-14 8.18696676e-17 5.21860472e-17] [ 2.82326329e-11 4.62415764e-13 2.03674269e-14 2.78047021e-06 -7.31318849e-12 -4.05948498e-12] [ 6.78141715e-14 1.54421413e-15 8.18696676e-17 -7.31318849e-12 6.74802813e-09 -2.38649632e-14] [ 3.13902111e-14 8.60401037e-16 5.21860472e-17 -4.05948498e-12 -2.38649632e-14 7.06460744e-09]] LogLike[0278]=-3094.470707 sigma_a=0.179355 R: [[24.73546872 0.51767237] [ 0.51767237 25.92354439]] m0: [ 3.55549943 -1.80940711 0.12136607 -0.32094327 0.70995237 -0.68009795] V0: [[ 2.14824867e-06 -3.06142270e-11 -1.61239288e-12 2.83410810e-11 6.81102333e-14 3.15458449e-14] [-3.06142270e-11 3.55426882e-08 -6.42694141e-14 4.64434632e-13 1.55184139e-15 8.65188416e-16] [-1.61239288e-12 -6.42694141e-14 3.54065132e-09 2.04684173e-14 8.23252125e-17 5.25104792e-17] [ 2.83410810e-11 4.64434632e-13 2.04684173e-14 2.78046207e-06 -7.34115283e-12 -4.07947518e-12] [ 6.81102333e-14 1.55184139e-15 8.23252125e-17 -7.34115283e-12 6.74802799e-09 -2.40022917e-14] [ 3.15458449e-14 8.65188416e-16 5.25104792e-17 -4.07947518e-12 -2.40022917e-14 7.06460724e-09]] LogLike[0279]=-3094.436245 sigma_a=0.178913 R: [[24.73547217 0.51745637] [ 0.51745637 25.92407892]] m0: [ 3.55549914 -1.80940712 0.12136607 -0.32094307 0.70995237 -0.68009795] V0: [[ 2.14824361e-06 -3.07317952e-11 -1.62033068e-12 2.84495593e-11 6.84065892e-14 3.17017500e-14] [-3.07317952e-11 3.55426842e-08 -6.46385554e-14 4.66455506e-13 1.55948180e-15 8.69987636e-16] [-1.62033068e-12 -6.46385554e-14 3.54065127e-09 2.05695839e-14 8.27818843e-17 5.28359550e-17] [ 2.84495593e-11 4.66455506e-13 2.05695839e-14 2.78045391e-06 -7.36915720e-12 -4.09950887e-12] [ 6.84065892e-14 1.55948180e-15 8.27818843e-17 -7.36915720e-12 6.74802785e-09 -2.41400178e-14] [ 3.17017500e-14 8.69987636e-16 5.28359550e-17 -4.09950887e-12 -2.41400178e-14 7.06460703e-09]] LogLike[0280]=-3094.403439 sigma_a=0.178491 R: [[24.73547617 0.51720808] [ 0.51720808 25.92469588]] m0: [ 3.55549886 -1.80940713 0.12136607 -0.32094286 0.70995237 -0.68009795] V0: [[ 2.14823854e-06 -3.08495601e-11 -1.62828855e-12 2.85580822e-11 6.87033118e-14 3.18579832e-14] [-3.08495601e-11 3.55426801e-08 -6.50089352e-14 4.68478881e-13 1.56713811e-15 8.74800995e-16] [-1.62828855e-12 -6.50089352e-14 3.54065122e-09 2.06709635e-14 8.32399015e-17 5.31626694e-17] [ 2.85580822e-11 4.68478881e-13 2.06709635e-14 2.78044575e-06 -7.39720800e-12 -4.11959296e-12] [ 6.87033118e-14 1.56713811e-15 8.32399015e-17 -7.39720800e-12 6.74802770e-09 -2.42782050e-14] [ 3.18579832e-14 8.74800995e-16 5.31626694e-17 -4.11959296e-12 -2.42782050e-14 7.06460683e-09]] LogLike[0281]=-3094.373578 sigma_a=0.178108 R: [[24.73548023 0.51696991] [ 0.51696991 25.92529032]] m0: [ 3.55549858 -1.80940713 0.12136607 -0.32094266 0.70995237 -0.68009795] V0: [[ 2.14823348e-06 -3.09675128e-11 -1.63626561e-12 2.86666383e-11 6.90003591e-14 3.20145168e-14] [-3.09675128e-11 3.55426760e-08 -6.53805008e-14 4.70504471e-13 1.57480898e-15 8.79627477e-16] [-1.63626561e-12 -6.53805008e-14 3.54065116e-09 2.07725380e-14 8.36991676e-17 5.34905427e-17] [ 2.86666383e-11 4.70504471e-13 2.07725380e-14 2.78043759e-06 -7.42530309e-12 -4.13972525e-12] [ 6.90003591e-14 1.57480898e-15 8.36991676e-17 -7.42530310e-12 6.74802756e-09 -2.44168334e-14] [ 3.20145168e-14 8.79627477e-16 5.34905427e-17 -4.13972525e-12 -2.44168334e-14 7.06460662e-09]] LogLike[0282]=-3094.343159 sigma_a=0.177717 R: [[24.73548409 0.51675229] [ 0.51675229 25.92583572]] m0: [ 3.55549829 -1.80940714 0.12136607 -0.32094245 0.70995237 -0.68009795] V0: [[ 2.14822840e-06 -3.10856373e-11 -1.64426021e-12 2.87752220e-11 6.92976957e-14 3.21713211e-14] [-3.10856373e-11 3.55426720e-08 -6.57531516e-14 4.72532033e-13 1.58249296e-15 8.84465845e-16] [-1.64426021e-12 -6.57531516e-14 3.54065111e-09 2.08742882e-14 8.41595648e-17 5.38194688e-17] [ 2.87752220e-11 4.72532033e-13 2.08742882e-14 2.78042941e-06 -7.45343862e-12 -4.15990157e-12] [ 6.92976957e-14 1.58249296e-15 8.41595648e-17 -7.45343863e-12 6.74802742e-09 -2.45558657e-14] [ 3.21713211e-14 8.84465845e-16 5.38194688e-17 -4.15990157e-12 -2.45558657e-14 7.06460641e-09]] LogLike[0283]=-3094.309791 sigma_a=0.177289 R: [[24.73548808 0.51653082] [ 0.51653082 25.92639289]] m0: [ 3.55549801 -1.80940715 0.12136607 -0.32094224 0.70995238 -0.68009795] V0: [[ 2.14822333e-06 -3.12039372e-11 -1.65227277e-12 2.88838396e-11 6.95953432e-14 3.23284101e-14] [-3.12039373e-11 3.55426679e-08 -6.61269136e-14 4.74561717e-13 1.59019075e-15 8.89316626e-16] [-1.65227277e-12 -6.61269136e-14 3.54065106e-09 2.09762234e-14 8.46211432e-17 5.41494902e-17] [ 2.88838396e-11 4.74561717e-13 2.09762234e-14 2.78042124e-06 -7.48161555e-12 -4.18012298e-12] [ 6.95953432e-14 1.59019075e-15 8.46211432e-17 -7.48161555e-12 6.74802727e-09 -2.46953114e-14] [ 3.23284101e-14 8.89316626e-16 5.41494902e-17 -4.18012298e-12 -2.46953114e-14 7.06460621e-09]] LogLike[0284]=-3094.276533 sigma_a=0.176861 R: [[24.73549259 0.5162878 ] [ 0.5162878 25.92700679]] m0: [ 3.55549773 -1.80940716 0.12136607 -0.32094204 0.70995238 -0.68009795] V0: [[ 2.14821825e-06 -3.13224306e-11 -1.66030513e-12 2.89924984e-11 6.98933440e-14 3.24858189e-14] [-3.13224306e-11 3.55426638e-08 -6.65019014e-14 4.76593811e-13 1.59790403e-15 8.94181271e-16] [-1.66030513e-12 -6.65019014e-14 3.54065101e-09 2.10783660e-14 8.50840411e-17 5.44807320e-17] [ 2.89924984e-11 4.76593811e-13 2.10783660e-14 2.78041305e-06 -7.50983811e-12 -4.20039412e-12] [ 6.98933440e-14 1.59790403e-15 8.50840411e-17 -7.50983811e-12 6.74802713e-09 -2.48352135e-14] [ 3.24858189e-14 8.94181271e-16 5.44807320e-17 -4.20039412e-12 -2.48352135e-14 7.06460600e-09]] LogLike[0285]=-3094.246905 sigma_a=0.176480 R: [[24.7354973 0.51604433] [ 0.51604433 25.92762445]] m0: [ 3.55549745 -1.80940717 0.12136607 -0.32094183 0.70995238 -0.68009794] V0: [[ 2.14821317e-06 -3.14411175e-11 -1.66835732e-12 2.91011936e-11 7.01916852e-14 3.26435407e-14] [-3.14411176e-11 3.55426597e-08 -6.68781182e-14 4.78628225e-13 1.60563249e-15 8.99059595e-16] [-1.66835732e-12 -6.68781182e-14 3.54065095e-09 2.11807119e-14 8.55482407e-17 5.48131835e-17] [ 2.91011936e-11 4.78628225e-13 2.11807119e-14 2.78040486e-06 -7.53810630e-12 -4.22071504e-12] [ 7.01916852e-14 1.60563249e-15 8.55482407e-17 -7.53810630e-12 6.74802698e-09 -2.49755729e-14] [ 3.26435407e-14 8.99059595e-16 5.48131835e-17 -4.22071504e-12 -2.49755729e-14 7.06460579e-09]] LogLike[0286]=-3094.216604 sigma_a=0.176091 R: [[24.73550172 0.51582616] [ 0.51582616 25.92818022]] m0: [ 3.55549717 -1.80940717 0.12136607 -0.32094162 0.70995238 -0.68009794] V0: [[ 2.14820808e-06 -3.15599775e-11 -1.67642726e-12 2.92099152e-11 7.04903141e-14 3.28015340e-14] [-3.15599775e-11 3.55426555e-08 -6.72554357e-14 4.80664603e-13 1.61337410e-15 9.03949902e-16] [-1.67642726e-12 -6.72554357e-14 3.54065090e-09 2.12832340e-14 8.60135806e-17 5.51467009e-17] [ 2.92099152e-11 4.80664603e-13 2.12832340e-14 2.78039666e-06 -7.56641524e-12 -4.24108049e-12] [ 7.04903141e-14 1.61337409e-15 8.60135806e-17 -7.56641524e-12 6.74802684e-09 -2.51163417e-14] [ 3.28015340e-14 9.03949902e-16 5.51467009e-17 -4.24108049e-12 -2.51163417e-14 7.06460558e-09]] LogLike[0287]=-3094.182257 sigma_a=0.175650 R: [[24.73550632 0.51560339] [ 0.51560339 25.92874981]] m0: [ 3.55549689 -1.80940718 0.12136607 -0.32094142 0.70995238 -0.68009794] V0: [[ 2.14820299e-06 -3.16790152e-11 -1.68451543e-12 2.93186710e-11 7.07892572e-14 3.29598161e-14] [-3.16790152e-11 3.55426514e-08 -6.76338849e-14 4.82703124e-13 1.62112970e-15 9.08852831e-16] [-1.68451543e-12 -6.76338849e-14 3.54065085e-09 2.13859436e-14 8.64801217e-17 5.54813355e-17] [ 2.93186710e-11 4.82703124e-13 2.13859436e-14 2.78038846e-06 -7.59476606e-12 -4.26149172e-12] [ 7.07892572e-14 1.62112970e-15 8.64801217e-17 -7.59476606e-12 6.74802669e-09 -2.52575318e-14] [ 3.29598161e-14 9.08852831e-16 5.54813355e-17 -4.26149172e-12 -2.52575318e-14 7.06460537e-09]] LogLike[0288]=-3094.145728 sigma_a=0.175180 R: [[24.73551167 0.51535097] [ 0.51535097 25.92939787]] m0: [ 3.55549662 -1.80940719 0.12136607 -0.32094121 0.70995238 -0.68009794] V0: [[ 2.14819789e-06 -3.17982552e-11 -1.69262437e-12 2.94274713e-11 7.10885736e-14 3.31184353e-14] [-3.17982552e-11 3.55426473e-08 -6.80136245e-14 4.84744190e-13 1.62890164e-15 9.13770397e-16] [-1.69262437e-12 -6.80136245e-14 3.54065079e-09 2.14888720e-14 8.69480556e-17 5.58172614e-17] [ 2.94274713e-11 4.84744190e-13 2.14888720e-14 2.78038025e-06 -7.62316463e-12 -4.28195513e-12] [ 7.10885736e-14 1.62890164e-15 8.69480556e-17 -7.62316463e-12 6.74802655e-09 -2.53992022e-14] [ 3.31184353e-14 9.13770397e-16 5.58172614e-17 -4.28195513e-12 -2.53992022e-14 7.06460516e-09]] LogLike[0289]=-3094.117136 sigma_a=0.174812 R: [[24.73551765 0.51508131] [ 0.51508131 25.93009327]] m0: [ 3.55549634 -1.8094072 0.12136607 -0.320941 0.70995239 -0.68009794] V0: [[ 2.14819279e-06 -3.19177113e-11 -1.70075553e-12 2.95363157e-11 7.13882796e-14 3.32774102e-14] [-3.19177113e-11 3.55426431e-08 -6.83947452e-14 4.86787914e-13 1.63669082e-15 9.18703476e-16] [-1.70075553e-12 -6.83947452e-14 3.54065074e-09 2.15920312e-14 8.74174658e-17 5.61545599e-17] [ 2.95363157e-11 4.86787914e-13 2.15920312e-14 2.78037203e-06 -7.65161419e-12 -4.30247433e-12] [ 7.13882796e-14 1.63669082e-15 8.74174658e-17 -7.65161419e-12 6.74802640e-09 -2.55413865e-14] [ 3.32774102e-14 9.18703476e-16 5.61545599e-17 -4.30247433e-12 -2.55413865e-14 7.06460494e-09]] LogLike[0290]=-3094.084835 sigma_a=0.174397 R: [[24.73552268 0.51486765] [ 0.51486765 25.93064662]] m0: [ 3.55549606 -1.80940721 0.12136607 -0.3209408 0.70995239 -0.68009794] V0: [[ 2.14818769e-06 -3.20373372e-11 -1.70890415e-12 2.96451787e-11 7.16882472e-14 3.34366411e-14] [-3.20373372e-11 3.55426390e-08 -6.87769528e-14 4.88833423e-13 1.64449239e-15 9.23648039e-16] [-1.70890415e-12 -6.87769528e-14 3.54065068e-09 2.16953567e-14 8.78879689e-17 5.64928903e-17] [ 2.96451787e-11 4.88833423e-13 2.16953567e-14 2.78036381e-06 -7.68010365e-12 -4.32303733e-12] [ 7.16882472e-14 1.64449239e-15 8.78879689e-17 -7.68010365e-12 6.74802625e-09 -2.56839751e-14] [ 3.34366411e-14 9.23648039e-16 5.64928903e-17 -4.32303733e-12 -2.56839751e-14 7.06460473e-09]] LogLike[0291]=-3094.056044 sigma_a=0.174026 R: [[24.73552835 0.5146283 ] [ 0.5146283 25.93126878]] m0: [ 3.55549579 -1.80940721 0.12136608 -0.32094059 0.70995239 -0.68009794] V0: [[ 2.14818258e-06 -3.21571558e-11 -1.71707261e-12 2.97540831e-11 7.19885678e-14 3.35961923e-14] [-3.21571558e-11 3.55426348e-08 -6.91603954e-14 4.90881339e-13 1.65230950e-15 9.28606559e-16] [-1.71707261e-12 -6.91603954e-14 3.54065063e-09 2.17988901e-14 8.83598002e-17 5.68324558e-17] [ 2.97540831e-11 4.90881339e-13 2.17988901e-14 2.78035558e-06 -7.70863857e-12 -4.34365013e-12] [ 7.19885678e-14 1.65230950e-15 8.83598002e-17 -7.70863857e-12 6.74802611e-09 -2.58270233e-14] [ 3.35961923e-14 9.28606559e-16 5.68324558e-17 -4.34365013e-12 -2.58270233e-14 7.06460452e-09]] LogLike[0292]=-3094.031158 sigma_a=0.173706 R: [[24.7355337 0.51441304] [ 0.51441304 25.93183051]] m0: [ 3.55549552 -1.80940722 0.12136608 -0.32094038 0.70995239 -0.68009794] V0: [[ 2.14817747e-06 -3.22771466e-11 -1.72525882e-12 2.98630136e-11 7.22891740e-14 3.37560143e-14] [-3.22771467e-11 3.55426306e-08 -6.95449446e-14 4.92931203e-13 1.66013972e-15 9.33577091e-16] [-1.72525882e-12 -6.95449446e-14 3.54065058e-09 2.19025993e-14 8.88327746e-17 5.71730951e-17] [ 2.98630136e-11 4.92931203e-13 2.19025993e-14 2.78034734e-06 -7.73721404e-12 -4.36430748e-12] [ 7.22891740e-14 1.66013972e-15 8.88327746e-17 -7.73721404e-12 6.74802596e-09 -2.59704831e-14] [ 3.37560143e-14 9.33577091e-16 5.71730951e-17 -4.36430748e-12 -2.59704831e-14 7.06460430e-09]] LogLike[0293]=-3094.003522 sigma_a=0.173350 R: [[24.7355385 0.51422634] [ 0.51422634 25.93231937]] m0: [ 3.55549524 -1.80940723 0.12136608 -0.32094017 0.70995239 -0.68009794] V0: [[ 2.14817235e-06 -3.23972869e-11 -1.73346045e-12 2.99719649e-11 7.25900223e-14 3.39160683e-14] [-3.23972869e-11 3.55426264e-08 -6.99304548e-14 4.94982719e-13 1.66798119e-15 9.38557965e-16] [-1.73346045e-12 -6.99304548e-14 3.54065052e-09 2.20064591e-14 8.93067332e-17 5.75146614e-17] [ 2.99719649e-11 4.94982719e-13 2.20064591e-14 2.78033910e-06 -7.76582465e-12 -4.38500346e-12] [ 7.25900223e-14 1.66798119e-15 8.93067332e-17 -7.76582465e-12 6.74802581e-09 -2.61143004e-14] [ 3.39160683e-14 9.38557965e-16 5.75146614e-17 -4.38500346e-12 -2.61143004e-14 7.06460409e-09]] LogLike[0294]=-3093.977447 sigma_a=0.173015 R: [[24.73554385 0.51402007] [ 0.51402007 25.93286119]] m0: [ 3.55549497 -1.80940724 0.12136608 -0.32093996 0.70995239 -0.68009794] V0: [[ 2.14816723e-06 -3.25175937e-11 -1.74167925e-12 3.00809510e-11 7.28911732e-14 3.40763982e-14] [-3.25175937e-11 3.55426222e-08 -7.03170376e-14 4.97036298e-13 1.67583604e-15 9.43550909e-16] [-1.74167925e-12 -7.03170376e-14 3.54065047e-09 2.21104980e-14 8.97818404e-17 5.78572990e-17] [ 3.00809510e-11 4.97036298e-13 2.21104980e-14 2.78033086e-06 -7.79447453e-12 -4.40574259e-12] [ 7.28911732e-14 1.67583604e-15 8.97818404e-17 -7.79447454e-12 6.74802567e-09 -2.62585168e-14] [ 3.40763982e-14 9.43550909e-16 5.78572990e-17 -4.40574259e-12 -2.62585168e-14 7.06460387e-09]] LogLike[0295]=-3093.948632 sigma_a=0.172644 R: [[24.73554914 0.51382415] [ 0.51382415 25.93337753]] m0: [ 3.5554947 -1.80940724 0.12136608 -0.32093976 0.7099524 -0.68009794] V0: [[ 2.14816211e-06 -3.26380581e-11 -1.74991433e-12 3.01899635e-11 7.31925918e-14 3.42369797e-14] [-3.26380581e-11 3.55426180e-08 -7.07046370e-14 4.99091704e-13 1.68370308e-15 9.48554989e-16] [-1.74991433e-12 -7.07046370e-14 3.54065041e-09 2.22147003e-14 9.02580075e-17 5.82009318e-17] [ 3.01899635e-11 4.99091704e-13 2.22147003e-14 2.78032261e-06 -7.82316154e-12 -4.42652257e-12] [ 7.31925918e-14 1.68370308e-15 9.02580075e-17 -7.82316154e-12 6.74802552e-09 -2.64031115e-14] [ 3.42369797e-14 9.48554989e-16 5.82009318e-17 -4.42652257e-12 -2.64031115e-14 7.06460365e-09]] LogLike[0296]=-3093.921210 sigma_a=0.172291 R: [[24.73555509 0.51360809] [ 0.51360809 25.93394888]] m0: [ 3.55549443 -1.80940725 0.12136608 -0.32093955 0.7099524 -0.68009794] V0: [[ 2.14815698e-06 -3.27586975e-11 -1.75816749e-12 3.02990124e-11 7.34943276e-14 3.43978511e-14] [-3.27586975e-11 3.55426138e-08 -7.10933659e-14 5.01149274e-13 1.69158417e-15 9.53571767e-16] [-1.75816749e-12 -7.10933659e-14 3.54065036e-09 2.23190907e-14 9.07353828e-17 5.85456930e-17] [ 3.02990124e-11 5.01149274e-13 2.23190907e-14 2.78031435e-06 -7.85188980e-12 -4.44734793e-12] [ 7.34943276e-14 1.69158417e-15 9.07353828e-17 -7.85188980e-12 6.74802537e-09 -2.65481265e-14] [ 3.43978511e-14 9.53571767e-16 5.85456930e-17 -4.44734793e-12 -2.65481265e-14 7.06460343e-09]] LogLike[0297]=-3093.890539 sigma_a=0.171896 R: [[24.73556102 0.51340114] [ 0.51340114 25.93449804]] m0: [ 3.55549416 -1.80940726 0.12136608 -0.32093934 0.7099524 -0.68009793] V0: [[ 2.14815186e-06 -3.28795039e-11 -1.76643792e-12 3.04080895e-11 7.37963481e-14 3.45589897e-14] [-3.28795039e-11 3.55426096e-08 -7.14831750e-14 5.03208785e-13 1.69947822e-15 9.58600384e-16] [-1.76643792e-12 -7.14831750e-14 3.54065030e-09 2.24236546e-14 9.12138850e-17 5.88915135e-17] [ 3.04080895e-11 5.03208785e-13 2.24236546e-14 2.78030608e-06 -7.88065739e-12 -4.46821662e-12] [ 7.37963481e-14 1.69947822e-15 9.12138850e-17 -7.88065739e-12 6.74802522e-09 -2.66935433e-14] [ 3.45589897e-14 9.58600384e-16 5.88915135e-17 -4.46821662e-12 -2.66935433e-14 7.06460322e-09]] LogLike[0298]=-3093.864504 sigma_a=0.171560 R: [[24.73556779 0.51317011] [ 0.51317011 25.93511326]] m0: [ 3.55549389 -1.80940727 0.12136608 -0.32093913 0.7099524 -0.68009793] V0: [[ 2.14814672e-06 -3.30004979e-11 -1.77472776e-12 3.05172063e-11 7.40987101e-14 3.47204404e-14] [-3.30004979e-11 3.55426054e-08 -7.18741988e-14 5.05270625e-13 1.70738740e-15 9.63642675e-16] [-1.77472776e-12 -7.18741988e-14 3.54065025e-09 2.25284211e-14 9.16936883e-17 5.92385504e-17] [ 3.05172063e-11 5.05270625e-13 2.25284211e-14 2.78029782e-06 -7.90946923e-12 -4.48913407e-12] [ 7.40987101e-14 1.70738740e-15 9.16936883e-17 -7.90946923e-12 6.74802507e-09 -2.68394123e-14] [ 3.47204404e-14 9.63642675e-16 5.92385504e-17 -4.48913407e-12 -2.68394123e-14 7.06460300e-09]] LogLike[0299]=-3093.835818 sigma_a=0.171191 R: [[24.73557387 0.51297194] [ 0.51297194 25.93564285]] m0: [ 3.55549362 -1.80940728 0.12136608 -0.32093892 0.7099524 -0.68009793] V0: [[ 2.14814158e-06 -3.31216517e-11 -1.78303415e-12 3.06263444e-11 7.44013285e-14 3.48821387e-14] [-3.31216517e-11 3.55426011e-08 -7.22662592e-14 5.07334215e-13 1.71530857e-15 9.68696059e-16] [-1.78303415e-12 -7.22662592e-14 3.54065019e-09 2.26333483e-14 9.21745473e-17 5.95865867e-17] [ 3.06263444e-11 5.07334215e-13 2.26333483e-14 2.78028954e-06 -7.93831865e-12 -4.51009300e-12] [ 7.44013285e-14 1.71530857e-15 9.21745473e-17 -7.93831865e-12 6.74802492e-09 -2.69856666e-14] [ 3.48821387e-14 9.68696059e-16 5.95865867e-17 -4.51009300e-12 -2.69856666e-14 7.06460278e-09]] LogLike[0300]=-3093.807128 sigma_a=0.170821 R: [[24.73558064 0.5127547 ] [ 0.5127547 25.93622527]] m0: [ 3.55549335 -1.80940728 0.12136608 -0.32093871 0.7099524 -0.68009793] V0: [[ 2.14813644e-06 -3.32429823e-11 -1.79135886e-12 3.07355187e-11 7.47042659e-14 3.50441296e-14] [-3.32429823e-11 3.55425969e-08 -7.26594674e-14 5.09399980e-13 1.72324393e-15 9.73762308e-16] [-1.79135886e-12 -7.26594674e-14 3.54065013e-09 2.27384655e-14 9.26566307e-17 5.99357701e-17] [ 3.07355187e-11 5.09399980e-13 2.27384655e-14 2.78028126e-06 -7.96720973e-12 -4.53109792e-12] [ 7.47042659e-14 1.72324392e-15 9.26566307e-17 -7.96720974e-12 6.74802477e-09 -2.71323482e-14] [ 3.50441296e-14 9.73762308e-16 5.99357701e-17 -4.53109792e-12 -2.71323482e-14 7.06460256e-09]] LogLike[0301]=-3093.775539 sigma_a=0.170414 R: [[24.73558768 0.51253636] [ 0.51253636 25.93681271]] m0: [ 3.55549309 -1.80940729 0.12136608 -0.3209385 0.70995241 -0.68009793] V0: [[ 2.14813130e-06 -3.33644903e-11 -1.79970197e-12 3.08447253e-11 7.50075117e-14 3.52064084e-14] [-3.33644904e-11 3.55425926e-08 -7.30538298e-14 5.11467849e-13 1.73119324e-15 9.78841298e-16] [-1.79970197e-12 -7.30538298e-14 3.54065008e-09 2.28437696e-14 9.31399264e-17 6.02860942e-17] [ 3.08447253e-11 5.11467849e-13 2.28437696e-14 2.78027297e-06 -7.99614263e-12 -4.55214903e-12] [ 7.50075117e-14 1.73119323e-15 9.31399264e-17 -7.99614263e-12 6.74802462e-09 -2.72794591e-14] [ 3.52064084e-14 9.78841298e-16 6.02860942e-17 -4.55214903e-12 -2.72794591e-14 7.06460233e-09]] LogLike[0302]=-3093.748114 sigma_a=0.170060 R: [[24.73559565 0.51229593] [ 0.51229593 25.93746191]] m0: [ 3.55549282 -1.8094073 0.12136608 -0.32093829 0.70995241 -0.68009793] V0: [[ 2.14812615e-06 -3.34861946e-11 -1.80806544e-12 3.09539723e-11 7.53111120e-14 3.53690128e-14] [-3.34861947e-11 3.55425884e-08 -7.34494702e-14 5.13538137e-13 1.73915833e-15 9.83934612e-16] [-1.80806544e-12 -7.34494702e-14 3.54065002e-09 2.29492851e-14 9.36245854e-17 6.06376973e-17] [ 3.09539723e-11 5.13538137e-13 2.29492851e-14 2.78026468e-06 -8.02512179e-12 -4.57325126e-12] [ 7.53111120e-14 1.73915832e-15 9.36245854e-17 -8.02512180e-12 6.74802447e-09 -2.74270456e-14] [ 3.53690128e-14 9.83934612e-16 6.06376973e-17 -4.57325126e-12 -2.74270456e-14 7.06460211e-09]] LogLike[0303]=-3093.718433 sigma_a=0.169677 R: [[24.73560294 0.5120852 ] [ 0.5120852 25.93803297]] m0: [ 3.55549256 -1.80940731 0.12136608 -0.32093808 0.70995241 -0.68009793] V0: [[ 2.14812100e-06 -3.36080699e-11 -1.81644668e-12 3.10632432e-11 7.56149894e-14 3.55318842e-14] [-3.36080699e-11 3.55425841e-08 -7.38462262e-14 5.15610313e-13 1.74713635e-15 9.89039897e-16] [-1.81644668e-12 -7.38462262e-14 3.54064997e-09 2.30549738e-14 9.41103836e-17 6.09903809e-17] [ 3.10632432e-11 5.15610313e-13 2.30549738e-14 2.78025638e-06 -8.05414117e-12 -4.59439803e-12] [ 7.56149894e-14 1.74713635e-15 9.41103836e-17 -8.05414117e-12 6.74802432e-09 -2.75750470e-14] [ 3.55318842e-14 9.89039897e-16 6.09903809e-17 -4.59439803e-12 -2.75750470e-14 7.06460189e-09]] LogLike[0304]=-3093.691742 sigma_a=0.169333 R: [[24.73561096 0.51185799] [ 0.51185799 25.93865078]] m0: [ 3.55549229 -1.80940731 0.12136608 -0.32093787 0.70995241 -0.68009793] V0: [[ 2.14811584e-06 -3.37301310e-11 -1.82484723e-12 3.11725511e-11 7.59191989e-14 3.56950623e-14] [-3.37301311e-11 3.55425798e-08 -7.42441961e-14 5.17684756e-13 1.75512924e-15 9.94158725e-16] [-1.82484723e-12 -7.42441961e-14 3.54064991e-09 2.31608617e-14 9.45974705e-17 6.13442765e-17] [ 3.11725511e-11 5.17684756e-13 2.31608617e-14 2.78024807e-06 -8.08320434e-12 -4.61559328e-12] [ 7.59191989e-14 1.75512924e-15 9.45974705e-17 -8.08320435e-12 6.74802417e-09 -2.77235001e-14] [ 3.56950623e-14 9.94158725e-16 6.13442765e-17 -4.61559328e-12 -2.77235001e-14 7.06460166e-09]] LogLike[0305]=-3093.662706 sigma_a=0.168958 R: [[24.73561851 0.51165207] [ 0.51165207 25.93921259]] m0: [ 3.55549203 -1.80940732 0.12136608 -0.32093766 0.70995241 -0.68009793] V0: [[ 2.14811068e-06 -3.38523598e-11 -1.83326523e-12 3.12818839e-11 7.62236846e-14 3.58585049e-14] [-3.38523599e-11 3.55425755e-08 -7.46432633e-14 5.19761082e-13 1.76313494e-15 9.99289396e-16] [-1.83326523e-12 -7.46432633e-14 3.54064985e-09 2.32669213e-14 9.50856846e-17 6.16992412e-17] [ 3.12818839e-11 5.19761082e-13 2.32669213e-14 2.78023976e-06 -8.11230696e-12 -4.63683227e-12] [ 7.62236846e-14 1.76313494e-15 9.50856846e-17 -8.11230697e-12 6.74802402e-09 -2.78723613e-14] [ 3.58585049e-14 9.99289396e-16 6.16992412e-17 -4.63683227e-12 -2.78723613e-14 7.06460144e-09]] LogLike[0306]=-3093.632724 sigma_a=0.168571 R: [[24.73562686 0.51142869] [ 0.51142869 25.93982402]] m0: [ 3.55549177 -1.80940733 0.12136608 -0.32093745 0.70995241 -0.68009793] V0: [[ 2.14810552e-06 -3.39747718e-11 -1.84170229e-12 3.13912535e-11 7.65284980e-14 3.60222504e-14] [-3.39747718e-11 3.55425712e-08 -7.50435308e-14 5.21839644e-13 1.77115533e-15 1.00443345e-15] [-1.84170229e-12 -7.50435308e-14 3.54064979e-09 2.33731775e-14 9.55751726e-17 6.20554055e-17] [ 3.13912535e-11 5.21839644e-13 2.33731775e-14 2.78023145e-06 -8.14145276e-12 -4.65811913e-12] [ 7.65284980e-14 1.77115533e-15 9.55751726e-17 -8.14145276e-12 6.74802387e-09 -2.80216691e-14] [ 3.60222504e-14 1.00443345e-15 6.20554055e-17 -4.65811913e-12 -2.80216691e-14 7.06460121e-09]] LogLike[0307]=-3093.603488 sigma_a=0.168193 R: [[24.73563581 0.51119711] [ 0.51119711 25.94046012]] m0: [ 3.5554915 -1.80940733 0.12136608 -0.32093724 0.70995242 -0.68009793] V0: [[ 2.14810035e-06 -3.40973738e-11 -1.85015914e-12 3.15006587e-11 7.68336447e-14 3.61863067e-14] [-3.40973738e-11 3.55425669e-08 -7.54450445e-14 5.23920479e-13 1.77919078e-15 1.00959130e-15] [-1.85015914e-12 -7.54450445e-14 3.54064974e-09 2.34796355e-14 9.60659728e-17 6.24128087e-17] [ 3.15006587e-11 5.23920479e-13 2.34796355e-14 2.78022312e-06 -8.17064330e-12 -4.67945564e-12] [ 7.68336447e-14 1.77919078e-15 9.60659728e-17 -8.17064330e-12 6.74802372e-09 -2.81714405e-14] [ 3.61863067e-14 1.00959130e-15 6.24128087e-17 -4.67945564e-12 -2.81714405e-14 7.06460099e-09]] LogLike[0308]=-3093.579158 sigma_a=0.167879 R: [[24.73564486 0.5109703 ] [ 0.5109703 25.9410853 ]] m0: [ 3.55549124 -1.80940734 0.12136608 -0.32093703 0.70995242 -0.68009792] V0: [[ 2.14809518e-06 -3.42201617e-11 -1.85863537e-12 3.16100958e-11 7.71391093e-14 3.63506630e-14] [-3.42201617e-11 3.55425626e-08 -7.58477803e-14 5.26003482e-13 1.78724077e-15 1.01476252e-15] [-1.85863537e-12 -7.58477803e-14 3.54064968e-09 2.35862882e-14 9.65580458e-17 6.27714174e-17] [ 3.16100958e-11 5.26003482e-13 2.35862882e-14 2.78021479e-06 -8.19987762e-12 -4.70084079e-12] [ 7.71391093e-14 1.78724076e-15 9.65580458e-17 -8.19987762e-12 6.74802356e-09 -2.83216665e-14] [ 3.63506630e-14 1.01476252e-15 6.27714174e-17 -4.70084079e-12 -2.83216665e-14 7.06460076e-09]] LogLike[0309]=-3093.552522 sigma_a=0.167535 R: [[24.73565273 0.51078011] [ 0.51078011 25.94161124]] m0: [ 3.55549098 -1.80940735 0.12136608 -0.32093682 0.70995242 -0.68009792] V0: [[ 2.14809000e-06 -3.43431048e-11 -1.86712780e-12 3.17195517e-11 7.74448174e-14 3.65152581e-14] [-3.43431048e-11 3.55425582e-08 -7.62515382e-14 5.28088146e-13 1.79530232e-15 1.01994457e-15] [-1.86712780e-12 -7.62515382e-14 3.54064962e-09 2.36930959e-14 9.70511484e-17 6.31310098e-17] [ 3.17195517e-11 5.28088146e-13 2.36930959e-14 2.78020646e-06 -8.22914841e-12 -4.72226653e-12] [ 7.74448174e-14 1.79530232e-15 9.70511484e-17 -8.22914841e-12 6.74802341e-09 -2.84722725e-14] [ 3.65152581e-14 1.01994457e-15 6.31310098e-17 -4.72226653e-12 -2.84722725e-14 7.06460053e-09]] LogLike[0310]=-3093.522617 sigma_a=0.167148 R: [[24.73566141 0.51057307] [ 0.51057307 25.94218538]] m0: [ 3.55549072 -1.80940736 0.12136608 -0.32093661 0.70995242 -0.68009792] V0: [[ 2.14808482e-06 -3.44662185e-11 -1.87563804e-12 3.18290416e-11 7.77508300e-14 3.66801356e-14] [-3.44662185e-11 3.55425539e-08 -7.66564206e-14 5.30174888e-13 1.80337757e-15 1.02513913e-15] [-1.87563804e-12 -7.66564206e-14 3.54064956e-09 2.38000870e-14 9.75454425e-17 6.34917277e-17] [ 3.18290416e-11 5.30174888e-13 2.38000870e-14 2.78019812e-06 -8.25845939e-12 -4.74373697e-12] [ 7.77508300e-14 1.80337757e-15 9.75454425e-17 -8.25845940e-12 6.74802326e-09 -2.86232969e-14] [ 3.66801356e-14 1.02513913e-15 6.34917277e-17 -4.74373697e-12 -2.86232969e-14 7.06460030e-09]] LogLike[0311]=-3093.497423 sigma_a=0.166822 R: [[24.73567144 0.5103402 ] [ 0.5103402 25.9428333 ]] m0: [ 3.55549047 -1.80940736 0.12136608 -0.3209364 0.70995242 -0.68009792] V0: [[ 2.14807964e-06 -3.45895246e-11 -1.88416839e-12 3.19385713e-11 7.80571907e-14 3.68453342e-14] [-3.45895246e-11 3.55425496e-08 -7.70625727e-14 5.32264004e-13 1.81146838e-15 1.03034789e-15] [-1.88416839e-12 -7.70625727e-14 3.54064951e-09 2.39072866e-14 9.80410887e-17 6.38537219e-17] [ 3.19385713e-11 5.32264004e-13 2.39072866e-14 2.78018977e-06 -8.28781573e-12 -4.76525787e-12] [ 7.80571907e-14 1.81146838e-15 9.80410887e-17 -8.28781574e-12 6.74802311e-09 -2.87747938e-14] [ 3.68453342e-14 1.03034789e-15 6.38537219e-17 -4.76525787e-12 -2.87747938e-14 7.06460007e-09]] LogLike[0312]=-3093.469529 sigma_a=0.166462 R: [[24.73568033 0.51014183] [ 0.51014183 25.94338704]] m0: [ 3.55549021 -1.80940737 0.12136608 -0.32093619 0.70995242 -0.68009792] V0: [[ 2.14807445e-06 -3.47129933e-11 -1.89271574e-12 3.20481215e-11 7.83638083e-14 3.70107844e-14] [-3.47129934e-11 3.55425452e-08 -7.74697999e-14 5.34354872e-13 1.81957138e-15 1.03556807e-15] [-1.89271574e-12 -7.74697999e-14 3.54064945e-09 2.40146494e-14 9.85378201e-17 6.42167544e-17] [ 3.20481215e-11 5.34354872e-13 2.40146494e-14 2.78018142e-06 -8.31721028e-12 -4.78682138e-12] [ 7.83638083e-14 1.81957138e-15 9.85378201e-17 -8.31721028e-12 6.74802295e-09 -2.89266904e-14] [ 3.70107844e-14 1.03556807e-15 6.42167544e-17 -4.78682138e-12 -2.89266904e-14 7.06459984e-09]] LogLike[0313]=-3093.439390 sigma_a=0.166072 R: [[24.73569027 0.50992337] [ 0.50992337 25.94399867]] m0: [ 3.55548995 -1.80940738 0.12136608 -0.32093598 0.70995243 -0.68009792] V0: [[ 2.14806926e-06 -3.48366429e-11 -1.90128200e-12 3.21577080e-11 7.86707496e-14 3.71765349e-14] [-3.48366429e-11 3.55425408e-08 -7.78782237e-14 5.36447948e-13 1.82768893e-15 1.04080157e-15] [-1.90128200e-12 -7.78782237e-14 3.54064939e-09 2.41222072e-14 9.90358200e-17 6.45809871e-17] [ 3.21577080e-11 5.36447948e-13 2.41222072e-14 2.78017306e-06 -8.34664743e-12 -4.80843237e-12] [ 7.86707496e-14 1.82768893e-15 9.90358200e-17 -8.34664743e-12 6.74802280e-09 -2.90790322e-14] [ 3.71765349e-14 1.04080157e-15 6.45809871e-17 -4.80843237e-12 -2.90790322e-14 7.06459961e-09]] LogLike[0314]=-3093.412780 sigma_a=0.165727 R: [[24.73570137 0.50968654] [ 0.50968654 25.94466391]] m0: [ 3.5554897 -1.80940738 0.12136608 -0.32093577 0.70995243 -0.68009792] V0: [[ 2.14806407e-06 -3.49604886e-11 -1.90986880e-12 3.22673331e-11 7.89780399e-14 3.73426102e-14] [-3.49604886e-11 3.55425364e-08 -7.82879480e-14 5.38543405e-13 1.83582222e-15 1.04604951e-15] [-1.90986880e-12 -7.82879480e-14 3.54064933e-09 2.42299759e-14 9.95351942e-17 6.49465222e-17] [ 3.22673331e-11 5.38543405e-13 2.42299759e-14 2.78016469e-06 -8.37613080e-12 -4.83009492e-12] [ 7.89780399e-14 1.83582222e-15 9.95351942e-17 -8.37613080e-12 6.74802264e-09 -2.92318578e-14] [ 3.73426102e-14 1.04604951e-15 6.49465222e-17 -4.83009492e-12 -2.92318578e-14 7.06459937e-09]] LogLike[0315]=-3093.383751 sigma_a=0.165351 R: [[24.73571161 0.50947562] [ 0.50947562 25.94525837]] m0: [ 3.55548944 -1.80940739 0.12136608 -0.32093555 0.70995243 -0.68009792] V0: [[ 2.14805887e-06 -3.50845081e-11 -1.91847383e-12 3.23769824e-11 7.92856115e-14 3.75089584e-14] [-3.50845082e-11 3.55425321e-08 -7.86988266e-14 5.40640780e-13 1.84396874e-15 1.05130980e-15] [-1.91847383e-12 -7.86988266e-14 3.54064927e-09 2.43379218e-14 1.00035743e-16 6.53131811e-17] [ 3.23769824e-11 5.40640780e-13 2.43379218e-14 2.78015632e-06 -8.40565504e-12 -4.85180313e-12] [ 7.92856115e-14 1.84396874e-15 1.00035743e-16 -8.40565504e-12 6.74802249e-09 -2.93851126e-14] [ 3.75089584e-14 1.05130980e-15 6.53131811e-17 -4.85180313e-12 -2.93851126e-14 7.06459914e-09]] LogLike[0316]=-3093.358248 sigma_a=0.165021 R: [[24.73572296 0.50924627] [ 0.50924627 25.94590675]] m0: [ 3.55548919 -1.8094074 0.12136608 -0.32093534 0.70995243 -0.68009792] V0: [[ 2.14805367e-06 -3.52087182e-11 -1.92709883e-12 3.24866692e-11 7.95935217e-14 3.76756223e-14] [-3.52087182e-11 3.55425277e-08 -7.91109716e-14 5.42740465e-13 1.85213056e-15 1.05658415e-15] [-1.92709883e-12 -7.91109716e-14 3.54064921e-09 2.44460725e-14 1.00537630e-16 6.56811092e-17] [ 3.24866692e-11 5.42740465e-13 2.44460725e-14 2.78014795e-06 -8.43522415e-12 -4.87356147e-12] [ 7.95935217e-14 1.85213056e-15 1.00537630e-16 -8.43522416e-12 6.74802234e-09 -2.95388386e-14] [ 3.76756223e-14 1.05658415e-15 6.56811092e-17 -4.87356147e-12 -2.95388386e-14 7.06459891e-09]] LogLike[0317]=-3093.332128 sigma_a=0.164682 R: [[24.73573337 0.50904297] [ 0.50904297 25.94648328]] m0: [ 3.55548893 -1.80940741 0.12136608 -0.32093513 0.70995243 -0.68009792] V0: [[ 2.14804846e-06 -3.53330962e-11 -1.93574145e-12 3.25963789e-11 7.99017023e-14 3.78425494e-14] [-3.53330962e-11 3.55425232e-08 -7.95242351e-14 5.44841994e-13 1.86030512e-15 1.06187042e-15] [-1.93574145e-12 -7.95242351e-14 3.54064915e-09 2.45543942e-14 1.01040652e-16 6.60501256e-17] [ 3.25963789e-11 5.44841994e-13 2.45543942e-14 2.78013956e-06 -8.46483273e-12 -4.89536398e-12] [ 7.99017023e-14 1.86030512e-15 1.01040652e-16 -8.46483273e-12 6.74802218e-09 -2.96929804e-14] [ 3.78425494e-14 1.06187042e-15 6.60501256e-17 -4.89536398e-12 -2.96929804e-14 7.06459867e-09]] LogLike[0318]=-3093.310296 sigma_a=0.164399 R: [[24.73574423 0.50883513] [ 0.50883513 25.94707439]] m0: [ 3.55548868 -1.80940741 0.12136608 -0.32093492 0.70995243 -0.68009792] V0: [[ 2.14804325e-06 -3.54576468e-11 -1.94440220e-12 3.27061194e-11 8.02101812e-14 3.80097583e-14] [-3.54576468e-11 3.55425188e-08 -7.99386499e-14 5.46945558e-13 1.86849335e-15 1.06716932e-15] [-1.94440220e-12 -7.99386499e-14 3.54064909e-09 2.46628987e-14 1.01544876e-16 6.64202869e-17] [ 3.27061194e-11 5.46945558e-13 2.46628987e-14 2.78013118e-06 -8.49448195e-12 -4.91721199e-12] [ 8.02101812e-14 1.86849334e-15 1.01544876e-16 -8.49448195e-12 6.74802202e-09 -2.98475505e-14] [ 3.80097583e-14 1.06716932e-15 6.64202869e-17 -4.91721199e-12 -2.98475505e-14 7.06459844e-09]] LogLike[0319]=-3093.287172 sigma_a=0.164100 R: [[24.73575365 0.50865992] [ 0.50865992 25.94757407]] m0: [ 3.55548843 -1.80940742 0.12136608 -0.32093471 0.70995244 -0.68009792] V0: [[ 2.14803804e-06 -3.55823421e-11 -1.95307817e-12 3.28158770e-11 8.05188855e-14 3.81771901e-14] [-3.55823421e-11 3.55425144e-08 -8.03540315e-14 5.49050660e-13 1.87669237e-15 1.07247841e-15] [-1.95307817e-12 -8.03540315e-14 3.54064903e-09 2.47715480e-14 1.02050068e-16 6.67913810e-17] [ 3.28158770e-11 5.49050660e-13 2.47715480e-14 2.78012278e-06 -8.52416514e-12 -4.93909809e-12] [ 8.05188855e-14 1.87669237e-15 1.02050068e-16 -8.52416515e-12 6.74802187e-09 -3.00024799e-14] [ 3.81771901e-14 1.07247841e-15 6.67913810e-17 -4.93909809e-12 -3.00024799e-14 7.06459820e-09]] LogLike[0320]=-3093.256809 sigma_a=0.163706 R: [[24.73576373 0.50847521] [ 0.50847521 25.94810212]] m0: [ 3.55548818 -1.80940743 0.12136608 -0.32093449 0.70995244 -0.68009791] V0: [[ 2.14803282e-06 -3.57071912e-11 -1.96177031e-12 3.29256632e-11 8.08278584e-14 3.83448746e-14] [-3.57071912e-11 3.55425100e-08 -8.07704418e-14 5.51157594e-13 1.88490366e-15 1.07779881e-15] [-1.96177031e-12 -8.07704418e-14 3.54064897e-09 2.48803614e-14 1.02556338e-16 6.71635022e-17] [ 3.29256632e-11 5.51157594e-13 2.48803614e-14 2.78011438e-06 -8.55388455e-12 -4.96102478e-12] [ 8.08278584e-14 1.88490366e-15 1.02556338e-16 -8.55388455e-12 6.74802171e-09 -3.01577920e-14] [ 3.83448746e-14 1.07779881e-15 6.71635022e-17 -4.96102478e-12 -3.01577920e-14 7.06459796e-09]] LogLike[0321]=-3093.224975 sigma_a=0.163293 R: [[24.73577718 0.50823333] [ 0.50823333 25.94879563]] m0: [ 3.55548793 -1.80940743 0.12136608 -0.32093428 0.70995244 -0.68009791] V0: [[ 2.14802760e-06 -3.58322433e-11 -1.97048381e-12 3.30354977e-11 8.11372157e-14 3.85129091e-14] [-3.58322433e-11 3.55425055e-08 -8.11882104e-14 5.53267150e-13 1.89313191e-15 1.08313468e-15] [-1.97048381e-12 -8.11882104e-14 3.54064891e-09 2.49894020e-14 1.03064080e-16 6.75370156e-17] [ 3.30354977e-11 5.53267150e-13 2.49894020e-14 2.78010598e-06 -8.58365185e-12 -4.98300510e-12] [ 8.11372157e-14 1.89313191e-15 1.03064080e-16 -8.58365185e-12 6.74802156e-09 -3.03136097e-14] [ 3.85129091e-14 1.08313468e-15 6.75370156e-17 -4.98300510e-12 -3.03136097e-14 7.06459772e-09]] LogLike[0322]=-3093.194624 sigma_a=0.162898 R: [[24.7357919 0.50797754] [ 0.50797754 25.94953156]] m0: [ 3.55548768 -1.80940744 0.12136608 -0.32093407 0.70995244 -0.68009791] V0: [[ 2.14802238e-06 -3.59575092e-11 -1.97921982e-12 3.31453723e-11 8.14469474e-14 3.86812959e-14] [-3.59575092e-11 3.55425011e-08 -8.16074122e-14 5.55379260e-13 1.90137722e-15 1.08848633e-15] [-1.97921982e-12 -8.16074122e-14 3.54064885e-09 2.50986712e-14 1.03573324e-16 6.79119623e-17] [ 3.31453723e-11 5.55379260e-13 2.50986712e-14 2.78009757e-06 -8.61346949e-12 -5.00504191e-12] [ 8.14469474e-14 1.90137722e-15 1.03573324e-16 -8.61346950e-12 6.74802140e-09 -3.04699604e-14] [ 3.86812959e-14 1.08848633e-15 6.79119623e-17 -5.00504191e-12 -3.04699604e-14 7.06459748e-09]] LogLike[0323]=-3093.166472 sigma_a=0.162533 R: [[24.73580649 0.50773215] [ 0.50773215 25.95023999]] m0: [ 3.55548743 -1.80940745 0.12136608 -0.32093386 0.70995244 -0.68009791] V0: [[ 2.14801715e-06 -3.60829798e-11 -1.98797741e-12 3.32552794e-11 8.17570216e-14 3.88500117e-14] [-3.60829798e-11 3.55424966e-08 -8.20279889e-14 5.57493705e-13 1.90963847e-15 1.09385285e-15] [-1.98797741e-12 -8.20279889e-14 3.54064879e-09 2.52081541e-14 1.04083982e-16 6.82882656e-17] [ 3.32552794e-11 5.57493705e-13 2.52081541e-14 2.78008915e-06 -8.64333530e-12 -5.02713283e-12] [ 8.17570216e-14 1.90963847e-15 1.04083982e-16 -8.64333530e-12 6.74802124e-09 -3.06268224e-14] [ 3.88500117e-14 1.09385285e-15 6.82882656e-17 -5.02713283e-12 -3.06268224e-14 7.06459724e-09]] LogLike[0324]=-3093.142718 sigma_a=0.162224 R: [[24.73582045 0.50750364] [ 0.50750364 25.95090183]] m0: [ 3.55548718 -1.80940745 0.12136608 -0.32093364 0.70995245 -0.68009791] V0: [[ 2.14801192e-06 -3.62086411e-11 -1.99675512e-12 3.33652152e-11 8.20674094e-14 3.90190312e-14] [-3.62086412e-11 3.55424921e-08 -8.24498485e-14 5.59610290e-13 1.91791443e-15 1.09923315e-15] [-1.99675512e-12 -8.24498485e-14 3.54064873e-09 2.53178340e-14 1.04595952e-16 6.86658290e-17] [ 3.33652152e-11 5.59610290e-13 2.53178340e-14 2.78008072e-06 -8.67324593e-12 -5.04927417e-12] [ 8.20674094e-14 1.91791443e-15 1.04595952e-16 -8.67324593e-12 6.74802108e-09 -3.07841615e-14] [ 3.90190312e-14 1.09923315e-15 6.86658290e-17 -5.04927417e-12 -3.07841615e-14 7.06459700e-09]] LogLike[0325]=-3093.115629 sigma_a=0.161872 R: [[24.73583262 0.50730967] [ 0.50730967 25.9514652 ]] m0: [ 3.55548693 -1.80940746 0.12136608 -0.32093343 0.70995245 -0.68009791] V0: [[ 2.14800668e-06 -3.63344639e-11 -2.00554987e-12 3.34751700e-11 8.23780487e-14 3.91883002e-14] [-3.63344639e-11 3.55424876e-08 -8.28727960e-14 5.61728590e-13 1.92620248e-15 1.10462488e-15] [-2.00554987e-12 -8.28727960e-14 3.54064867e-09 2.54276760e-14 1.05109010e-16 6.90444450e-17] [ 3.34751700e-11 5.61728590e-13 2.54276760e-14 2.78007229e-06 -8.70319447e-12 -5.07145821e-12] [ 8.23780487e-14 1.92620248e-15 1.05109010e-16 -8.70319447e-12 6.74802093e-09 -3.09419049e-14] [ 3.91883002e-14 1.10462488e-15 6.90444450e-17 -5.07145821e-12 -3.09419049e-14 7.06459676e-09]] LogLike[0326]=-3093.088351 sigma_a=0.161517 R: [[24.73584663 0.50708981] [ 0.50708981 25.9521055 ]] m0: [ 3.55548669 -1.80940747 0.12136608 -0.32093322 0.70995245 -0.68009791] V0: [[ 2.14800144e-06 -3.64604716e-11 -2.01436416e-12 3.35851622e-11 8.26890194e-14 3.93578788e-14] [-3.64604716e-11 3.55424832e-08 -8.32969910e-14 5.63849151e-13 1.93450553e-15 1.11003047e-15] [-2.01436416e-12 -8.32969910e-14 3.54064861e-09 2.55377189e-14 1.05623387e-16 6.94243202e-17] [ 3.35851622e-11 5.63849151e-13 2.55377189e-14 2.78006386e-06 -8.73318656e-12 -5.09369128e-12] [ 8.26890194e-14 1.93450553e-15 1.05623387e-16 -8.73318656e-12 6.74802077e-09 -3.11001124e-14] [ 3.93578788e-14 1.11003047e-15 6.94243202e-17 -5.09369128e-12 -3.11001124e-14 7.06459652e-09]] LogLike[0327]=-3093.063123 sigma_a=0.161189 R: [[24.73586122 0.50686707] [ 0.50686707 25.95275609]] m0: [ 3.55548644 -1.80940747 0.12136608 -0.320933 0.70995245 -0.68009791] V0: [[ 2.14799620e-06 -3.65866662e-11 -2.02319821e-12 3.36951867e-11 8.30003096e-14 3.95277621e-14] [-3.65866662e-11 3.55424786e-08 -8.37224492e-14 5.65971892e-13 1.94282335e-15 1.11544983e-15] [-2.02319821e-12 -8.37224492e-14 3.54064854e-09 2.56479597e-14 1.06139073e-16 6.98054522e-17] [ 3.36951867e-11 5.65971892e-13 2.56479597e-14 2.78005541e-06 -8.76322264e-12 -5.11597390e-12] [ 8.30003096e-14 1.94282335e-15 1.06139073e-16 -8.76322264e-12 6.74802061e-09 -3.12587897e-14] [ 3.95277621e-14 1.11544983e-15 6.98054522e-17 -5.11597390e-12 -3.12587897e-14 7.06459627e-09]] LogLike[0328]=-3093.039674 sigma_a=0.160883 R: [[24.73587514 0.50665992] [ 0.50665992 25.95336285]] m0: [ 3.5554862 -1.80940748 0.12136608 -0.32093279 0.70995245 -0.68009791] V0: [[ 2.14799095e-06 -3.67130344e-11 -2.03205063e-12 3.38052367e-11 8.33118838e-14 3.96979216e-14] [-3.67130344e-11 3.55424741e-08 -8.41490818e-14 5.68096569e-13 1.95115454e-15 1.12088175e-15] [-2.03205063e-12 -8.41490818e-14 3.54064848e-09 2.57583797e-14 1.06655956e-16 7.01877383e-17] [ 3.38052367e-11 5.68096569e-13 2.57583797e-14 2.78004696e-06 -8.79329951e-12 -5.13830256e-12] [ 8.33118838e-14 1.95115454e-15 1.06655956e-16 -8.79329951e-12 6.74802045e-09 -3.14179037e-14] [ 3.96979216e-14 1.12088175e-15 7.01877383e-17 -5.13830256e-12 -3.14179037e-14 7.06459603e-09]] LogLike[0329]=-3093.014100 sigma_a=0.160550 R: [[24.73588839 0.50646688] [ 0.50646688 25.95392975]] m0: [ 3.55548596 -1.80940749 0.12136608 -0.32093258 0.70995245 -0.68009791] V0: [[ 2.14798570e-06 -3.68395644e-11 -2.04092018e-12 3.39153104e-11 8.36237227e-14 3.98683386e-14] [-3.68395644e-11 3.55424696e-08 -8.45768116e-14 5.70223052e-13 1.95949822e-15 1.12632542e-15] [-2.04092018e-12 -8.45768116e-14 3.54064842e-09 2.58689669e-14 1.07173956e-16 7.05711027e-17] [ 3.39153104e-11 5.70223052e-13 2.58689669e-14 2.78003851e-06 -8.82341442e-12 -5.16067417e-12] [ 8.36237227e-14 1.95949822e-15 1.07173956e-16 -8.82341442e-12 6.74802029e-09 -3.15774256e-14] [ 3.98683386e-14 1.12632542e-15 7.05711027e-17 -5.16067417e-12 -3.15774256e-14 7.06459578e-09]] LogLike[0330]=-3092.989935 sigma_a=0.160235 R: [[24.73590308 0.50625673] [ 0.50625673 25.95454847]] m0: [ 3.55548571 -1.80940749 0.12136608 -0.32093236 0.70995246 -0.68009791] V0: [[ 2.14798044e-06 -3.69662717e-11 -2.04980851e-12 3.40254178e-11 8.39358732e-14 4.00390497e-14] [-3.69662717e-11 3.55424651e-08 -8.50057442e-14 5.72351660e-13 1.96785616e-15 1.13178233e-15] [-2.04980851e-12 -8.50057442e-14 3.54064836e-09 2.59797451e-14 1.07693217e-16 7.09556761e-17] [ 3.40254178e-11 5.72351660e-13 2.59797451e-14 2.78003005e-06 -8.85357106e-12 -5.18309289e-12] [ 8.39358732e-14 1.96785616e-15 1.07693217e-16 -8.85357106e-12 6.74802013e-09 -3.17373948e-14] [ 4.00390497e-14 1.13178233e-15 7.09556761e-17 -5.18309289e-12 -3.17373948e-14 7.06459554e-09]] LogLike[0331]=-3092.961437 sigma_a=0.159864 R: [[24.73591741 0.50605682] [ 0.50605682 25.95513861]] m0: [ 3.55548547 -1.8094075 0.12136608 -0.32093215 0.70995246 -0.6800979 ] V0: [[ 2.14797518e-06 -3.70931471e-11 -2.05871467e-12 3.41355507e-11 8.42483011e-14 4.02100300e-14] [-3.70931471e-11 3.55424605e-08 -8.54358191e-14 5.74482161e-13 1.97622714e-15 1.13725150e-15] [-2.05871467e-12 -8.54358191e-14 3.54064830e-09 2.60906980e-14 1.08213644e-16 7.13413762e-17] [ 3.41355507e-11 5.74482161e-13 2.60906980e-14 2.78002159e-06 -8.88376722e-12 -5.20555629e-12] [ 8.42483011e-14 1.97622714e-15 1.08213644e-16 -8.88376722e-12 6.74801997e-09 -3.18977888e-14] [ 4.02100300e-14 1.13725150e-15 7.13413762e-17 -5.20555629e-12 -3.18977888e-14 7.06459529e-09]] LogLike[0332]=-3092.935581 sigma_a=0.159527 R: [[24.73593457 0.50582175] [ 0.50582175 25.9558344 ]] m0: [ 3.55548523 -1.80940751 0.12136609 -0.32093193 0.70995246 -0.6800979 ] V0: [[ 2.14796992e-06 -3.72202216e-11 -2.06764196e-12 3.42457252e-11 8.45610896e-14 4.03813467e-14] [-3.72202217e-11 3.55424560e-08 -8.58672490e-14 5.76615121e-13 1.98461442e-15 1.14273577e-15] [-2.06764196e-12 -8.58672490e-14 3.54064823e-09 2.62018694e-14 1.08735508e-16 7.17284519e-17] [ 3.42457252e-11 5.76615121e-13 2.62018694e-14 2.78001311e-06 -8.91401030e-12 -5.22807271e-12] [ 8.45610896e-14 1.98461442e-15 1.08735508e-16 -8.91401030e-12 6.74801981e-09 -3.20586869e-14] [ 4.03813467e-14 1.14273577e-15 7.17284519e-17 -5.22807271e-12 -3.20586869e-14 7.06459504e-09]] LogLike[0333]=-3092.909888 sigma_a=0.159191 R: [[24.73595076 0.50560629] [ 0.50560629 25.95647401]] m0: [ 3.55548499 -1.80940751 0.12136609 -0.32093172 0.70995246 -0.6800979 ] V0: [[ 2.14796465e-06 -3.73474776e-11 -2.07658851e-12 3.43559252e-11 8.48741714e-14 4.05529510e-14] [-3.73474776e-11 3.55424514e-08 -8.62999151e-14 5.78750082e-13 1.99301563e-15 1.14823319e-15] [-2.07658851e-12 -8.62999151e-14 3.54064817e-09 2.63132274e-14 1.09258624e-16 7.21167408e-17] [ 3.43559252e-11 5.78750083e-13 2.63132274e-14 2.78000464e-06 -8.94429600e-12 -5.25063741e-12] [ 8.48741714e-14 1.99301563e-15 1.09258624e-16 -8.94429601e-12 6.74801965e-09 -3.22200445e-14] [ 4.05529510e-14 1.14823319e-15 7.21167408e-17 -5.25063741e-12 -3.22200445e-14 7.06459479e-09]] LogLike[0334]=-3092.885942 sigma_a=0.158879 R: [[24.73596719 0.50539207] [ 0.50539207 25.95711158]] m0: [ 3.55548475 -1.80940752 0.12136609 -0.3209315 0.70995246 -0.6800979 ] V0: [[ 2.14795938e-06 -3.74749146e-11 -2.08555429e-12 3.44661548e-11 8.51875579e-14 4.07248488e-14] [-3.74749146e-11 3.55424468e-08 -8.67338164e-14 5.80887122e-13 2.00143107e-15 1.15374397e-15] [-2.08555429e-12 -8.67338164e-14 3.54064811e-09 2.64247760e-14 1.09783011e-16 7.25062568e-17] [ 3.44661548e-11 5.80887122e-13 2.64247760e-14 2.77999615e-06 -8.97462427e-12 -5.27325031e-12] [ 8.51875579e-14 2.00143107e-15 1.09783011e-16 -8.97462427e-12 6.74801949e-09 -3.23818614e-14] [ 4.07248488e-14 1.15374397e-15 7.25062568e-17 -5.27325031e-12 -3.23818614e-14 7.06459454e-09]] LogLike[0335]=-3092.867492 sigma_a=0.158637 R: [[24.73598293 0.50519149] [ 0.50519149 25.95771012]] m0: [ 3.55548451 -1.80940753 0.12136609 -0.32093129 0.70995246 -0.6800979 ] V0: [[ 2.14795411e-06 -3.76025208e-11 -2.09453807e-12 3.45764090e-11 8.55012205e-14 4.08970166e-14] [-3.76025208e-11 3.55424423e-08 -8.71688748e-14 5.83026045e-13 2.00985958e-15 1.15926710e-15] [-2.09453807e-12 -8.71688748e-14 3.54064804e-09 2.65364998e-14 1.10308573e-16 7.28969123e-17] [ 3.45764090e-11 5.83026045e-13 2.65364998e-14 2.77998766e-06 -9.00499231e-12 -5.29590834e-12] [ 8.55012205e-14 2.00985958e-15 1.10308573e-16 -9.00499231e-12 6.74801933e-09 -3.25441086e-14] [ 4.08970166e-14 1.15926710e-15 7.28969123e-17 -5.29590834e-12 -3.25441086e-14 7.06459429e-09]] LogLike[0336]=-3092.842871 sigma_a=0.158316 R: [[24.73599544 0.50503553] [ 0.50503553 25.95817652]] m0: [ 3.55548427 -1.80940753 0.12136609 -0.32093108 0.70995247 -0.6800979 ] V0: [[ 2.14794883e-06 -3.77302578e-11 -2.10353577e-12 3.46866739e-11 8.58150725e-14 4.10693798e-14] [-3.77302578e-11 3.55424377e-08 -8.76048287e-14 5.85166260e-13 2.01829757e-15 1.16479937e-15] [-2.10353577e-12 -8.76048287e-14 3.54064798e-09 2.66483505e-14 1.10835006e-16 7.32884208e-17] [ 3.46866739e-11 5.85166260e-13 2.66483505e-14 2.77997917e-06 -9.03539097e-12 -5.31860118e-12] [ 8.58150725e-14 2.01829757e-15 1.10835006e-16 -9.03539097e-12 6.74801917e-09 -3.27066883e-14] [ 4.10693798e-14 1.16479937e-15 7.32884208e-17 -5.31860118e-12 -3.27066883e-14 7.06459404e-09]] LogLike[0337]=-3092.822587 sigma_a=0.158050 R: [[24.73601205 0.50483013] [ 0.50483013 25.95879208]] m0: [ 3.55548404 -1.80940754 0.12136609 -0.32093086 0.70995247 -0.6800979 ] V0: [[ 2.14794355e-06 -3.78581700e-11 -2.11255213e-12 3.47969793e-11 8.61292529e-14 4.12420458e-14] [-3.78581700e-11 3.55424331e-08 -8.80419833e-14 5.87308715e-13 2.02675025e-15 1.17034519e-15] [-2.11255213e-12 -8.80419833e-14 3.54064792e-09 2.67603979e-14 1.11362728e-16 7.36811647e-17] [ 3.47969793e-11 5.87308715e-13 2.67603979e-14 2.77997067e-06 -9.06583097e-12 -5.34134087e-12] [ 8.61292529e-14 2.02675025e-15 1.11362728e-16 -9.06583097e-12 6.74801901e-09 -3.28697149e-14] [ 4.12420458e-14 1.17034519e-15 7.36811647e-17 -5.34134087e-12 -3.28697149e-14 7.06459379e-09]] LogLike[0338]=-3092.791797 sigma_a=0.157648 R: [[24.73602633 0.50465824] [ 0.50465824 25.9593084 ]] m0: [ 3.5554838 -1.80940755 0.12136609 -0.32093065 0.70995247 -0.6800979 ] V0: [[ 2.14793827e-06 -3.79862270e-11 -2.12158392e-12 3.49073001e-11 8.64436537e-14 4.14149344e-14] [-3.79862270e-11 3.55424285e-08 -8.84801317e-14 5.89452673e-13 2.03521371e-15 1.17590135e-15] [-2.12158392e-12 -8.84801317e-14 3.54064785e-09 2.68725897e-14 1.11891433e-16 7.40748690e-17] [ 3.49073001e-11 5.89452673e-13 2.68725897e-14 2.77996217e-06 -9.09630492e-12 -5.36411919e-12] [ 8.64436537e-14 2.03521371e-15 1.11891433e-16 -9.09630492e-12 6.74801884e-09 -3.30331107e-14] [ 4.14149344e-14 1.17590135e-15 7.40748690e-17 -5.36411919e-12 -3.30331107e-14 7.06459354e-09]] LogLike[0339]=-3092.768565 sigma_a=0.157344 R: [[24.73604799 0.50440059] [ 0.50440059 25.96008425]] m0: [ 3.55548357 -1.80940755 0.12136609 -0.32093043 0.70995247 -0.6800979 ] V0: [[ 2.14793298e-06 -3.81145051e-11 -2.13063927e-12 3.50176778e-11 8.67584845e-14 4.15882142e-14] [-3.81145051e-11 3.55424239e-08 -8.89197978e-14 5.91599565e-13 2.04369613e-15 1.18147490e-15] [-2.13063927e-12 -8.89197978e-14 3.54064779e-09 2.69850355e-14 1.12421794e-16 7.44701555e-17] [ 3.50176778e-11 5.91599565e-13 2.69850355e-14 2.77995366e-06 -9.12683106e-12 -5.38695668e-12] [ 8.67584845e-14 2.04369613e-15 1.12421794e-16 -9.12683106e-12 6.74801868e-09 -3.31970714e-14] [ 4.15882142e-14 1.18147490e-15 7.44701555e-17 -5.38695668e-12 -3.31970714e-14 7.06459328e-09]] LogLike[0340]=-3092.748587 sigma_a=0.157082 R: [[24.73606527 0.50420188] [ 0.50420188 25.96068431]] m0: [ 3.55548333 -1.80940756 0.12136609 -0.32093022 0.70995247 -0.6800979 ] V0: [[ 2.14792769e-06 -3.82429505e-11 -2.13971247e-12 3.51280686e-11 8.70735563e-14 4.17617439e-14] [-3.82429505e-11 3.55424192e-08 -8.93606152e-14 5.93748101e-13 2.05219065e-15 1.18706017e-15] [-2.13971247e-12 -8.93606152e-14 3.54064772e-09 2.70976435e-14 1.12953270e-16 7.48665385e-17] [ 3.51280686e-11 5.93748101e-13 2.70976435e-14 2.77994514e-06 -9.15739639e-12 -5.40983886e-12] [ 8.70735563e-14 2.05219065e-15 1.12953270e-16 -9.15739640e-12 6.74801852e-09 -3.33614599e-14] [ 4.17617439e-14 1.18706017e-15 7.48665385e-17 -5.40983886e-12 -3.33614599e-14 7.06459303e-09]] LogLike[0341]=-3092.725023 sigma_a=0.156773 R: [[24.73608034 0.50403121] [ 0.50403121 25.96120077]] m0: [ 3.5554831 -1.80940756 0.12136609 -0.32093 0.70995247 -0.6800979 ] V0: [[ 2.14792240e-06 -3.83715402e-11 -2.14880108e-12 3.52384759e-11 8.73888506e-14 4.19354972e-14] [-3.83715402e-11 3.55424146e-08 -8.98024274e-14 5.95898154e-13 2.06069602e-15 1.19265582e-15] [-2.14880108e-12 -8.98024274e-14 3.54064766e-09 2.72103967e-14 1.13485734e-16 7.52638876e-17] [ 3.52384759e-11 5.95898154e-13 2.72103967e-14 2.77993662e-06 -9.18799558e-12 -5.43275961e-12] [ 8.73888506e-14 2.06069602e-15 1.13485734e-16 -9.18799558e-12 6.74801836e-09 -3.35262179e-14] [ 4.19354972e-14 1.19265582e-15 7.52638876e-17 -5.43275961e-12 -3.35262179e-14 7.06459277e-09]] LogLike[0342]=-3092.698563 sigma_a=0.156426 R: [[24.73609823 0.50383122] [ 0.50383122 25.96180723]] m0: [ 3.55548286 -1.80940757 0.12136609 -0.32092979 0.70995248 -0.6800979 ] V0: [[ 2.14791710e-06 -3.85003008e-11 -2.15790795e-12 3.53489178e-11 8.77044512e-14 4.21095390e-14] [-3.85003008e-11 3.55424100e-08 -9.02454186e-14 5.98050297e-13 2.06921537e-15 1.19826452e-15] [-2.15790795e-12 -9.02454186e-14 3.54064759e-09 2.73233372e-14 1.14019440e-16 7.56624350e-17] [ 3.53489178e-11 5.98050297e-13 2.73233372e-14 2.77992809e-06 -9.21863502e-12 -5.45572618e-12] [ 8.77044513e-14 2.06921537e-15 1.14019440e-16 -9.21863502e-12 6.74801819e-09 -3.36914146e-14] [ 4.21095390e-14 1.19826452e-15 7.56624350e-17 -5.45572618e-12 -3.36914146e-14 7.06459252e-09]] LogLike[0343]=-3092.676651 sigma_a=0.156139 R: [[24.73611882 0.50360574] [ 0.50360574 25.96249268]] m0: [ 3.55548263 -1.80940758 0.12136609 -0.32092957 0.70995248 -0.68009789] V0: [[ 2.14791180e-06 -3.86292542e-11 -2.16703543e-12 3.54593970e-11 8.80203923e-14 4.22839037e-14] [-3.86292542e-11 3.55424053e-08 -9.06897412e-14 6.00204762e-13 2.07775036e-15 1.20388786e-15] [-2.16703543e-12 -9.06897412e-14 3.54064753e-09 2.74364874e-14 1.14554539e-16 7.60623298e-17] [ 3.54593970e-11 6.00204762e-13 2.74364874e-14 2.77991956e-06 -9.24931984e-12 -5.47874445e-12] [ 8.80203923e-14 2.07775036e-15 1.14554539e-16 -9.24931985e-12 6.74801803e-09 -3.38571064e-14] [ 4.22839037e-14 1.20388786e-15 7.60623298e-17 -5.47874445e-12 -3.38571064e-14 7.06459226e-09]] LogLike[0344]=-3092.654043 sigma_a=0.155842 R: [[24.73613652 0.50341673] [ 0.50341673 25.96306863]] m0: [ 3.5554824 -1.80940758 0.12136609 -0.32092935 0.70995248 -0.68009789] V0: [[ 2.14790649e-06 -3.87583678e-11 -2.17618005e-12 3.55698931e-11 8.83365763e-14 4.24585148e-14] [-3.87583678e-11 3.55424006e-08 -9.11351720e-14 6.02360884e-13 2.08629730e-15 1.20952268e-15] [-2.17618005e-12 -9.11351720e-14 3.54064746e-09 2.75497975e-14 1.15090731e-16 7.64632970e-17] [ 3.55698931e-11 6.02360884e-13 2.75497975e-14 2.77991102e-06 -9.28004223e-12 -5.50180562e-12] [ 8.83365763e-14 2.08629730e-15 1.15090731e-16 -9.28004224e-12 6.74801787e-09 -3.40232100e-14] [ 4.24585148e-14 1.20952268e-15 7.64632970e-17 -5.50180562e-12 -3.40232100e-14 7.06459200e-09]] LogLike[0345]=-3092.628122 sigma_a=0.155502 R: [[24.73615497 0.50322244] [ 0.50322244 25.96366193]] m0: [ 3.55548217 -1.80940759 0.12136609 -0.32092914 0.70995248 -0.68009789] V0: [[ 2.14790118e-06 -3.88876473e-11 -2.18534243e-12 3.56804171e-11 8.86530410e-14 4.26333973e-14] [-3.88876473e-11 3.55423960e-08 -9.15817520e-14 6.04518921e-13 2.09485739e-15 1.21516992e-15] [-2.18534243e-12 -9.15817520e-14 3.54064740e-09 2.76632838e-14 1.15628105e-16 7.68654130e-17] [ 3.56804171e-11 6.04518921e-13 2.76632838e-14 2.77990248e-06 -9.31080363e-12 -5.52491131e-12] [ 8.86530410e-14 2.09485739e-15 1.15628105e-16 -9.31080363e-12 6.74801770e-09 -3.41897409e-14] [ 4.26333973e-14 1.21516992e-15 7.68654130e-17 -5.52491131e-12 -3.41897409e-14 7.06459174e-09]] LogLike[0346]=-3092.598531 sigma_a=0.155113 R: [[24.73617652 0.50299967] [ 0.50299967 25.9643438 ]] m0: [ 3.55548194 -1.80940759 0.12136609 -0.32092892 0.70995248 -0.68009789] V0: [[ 2.14789587e-06 -3.90171178e-11 -2.19452528e-12 3.57909785e-11 8.89698445e-14 4.28086010e-14] [-3.90171179e-11 3.55423913e-08 -9.20296568e-14 6.06679269e-13 2.10343304e-15 1.22083175e-15] [-2.19452528e-12 -9.20296568e-14 3.54064733e-09 2.77769786e-14 1.16166866e-16 7.72688732e-17] [ 3.57909785e-11 6.06679270e-13 2.77769786e-14 2.77989393e-06 -9.34161000e-12 -5.54806834e-12] [ 8.89698445e-14 2.10343304e-15 1.16166866e-16 -9.34161001e-12 6.74801754e-09 -3.43567645e-14] [ 4.28086010e-14 1.22083175e-15 7.72688732e-17 -5.54806834e-12 -3.43567645e-14 7.06459148e-09]] LogLike[0347]=-3092.571566 sigma_a=0.154758 R: [[24.73620176 0.50274443] [ 0.50274443 25.9651271 ]] m0: [ 3.55548171 -1.8094076 0.12136609 -0.32092871 0.70995248 -0.68009789] V0: [[ 2.14789055e-06 -3.91468076e-11 -2.20373163e-12 3.59015830e-11 8.92870367e-14 4.29841735e-14] [-3.91468076e-11 3.55423866e-08 -9.24790836e-14 6.08842269e-13 2.11202656e-15 1.22651033e-15] [-2.20373163e-12 -9.24790836e-14 3.54064727e-09 2.78909128e-14 1.16707222e-16 7.76738783e-17] [ 3.59015830e-11 6.08842269e-13 2.78909128e-14 2.77988537e-06 -9.37246800e-12 -5.57128431e-12] [ 8.92870367e-14 2.11202656e-15 1.16707222e-16 -9.37246800e-12 6.74801737e-09 -3.45243541e-14] [ 4.29841735e-14 1.22651033e-15 7.76738783e-17 -5.57128431e-12 -3.45243541e-14 7.06459122e-09]] LogLike[0348]=-3092.549009 sigma_a=0.154461 R: [[24.73622559 0.5025095 ] [ 0.5025095 25.96585 ]] m0: [ 3.55548148 -1.80940761 0.12136609 -0.32092849 0.70995249 -0.68009789] V0: [[ 2.14788523e-06 -3.92766981e-11 -2.21295950e-12 3.60122146e-11 8.96045499e-14 4.31600645e-14] [-3.92766981e-11 3.55423819e-08 -9.29299060e-14 6.11007457e-13 2.12063550e-15 1.23220364e-15] [-2.21295950e-12 -9.29299060e-14 3.54064720e-09 2.80050538e-14 1.17248981e-16 7.80802569e-17] [ 3.60122146e-11 6.11007457e-13 2.80050538e-14 2.77987681e-06 -9.40337310e-12 -5.59455421e-12] [ 8.96045499e-14 2.12063550e-15 1.17248981e-16 -9.40337310e-12 6.74801721e-09 -3.46924625e-14] [ 4.31600645e-14 1.23220364e-15 7.80802569e-17 -5.59455421e-12 -3.46924625e-14 7.06459096e-09]] LogLike[0349]=-3092.526484 sigma_a=0.154165 R: [[24.73624607 0.50231174] [ 0.50231174 25.96645997]] m0: [ 3.55548125 -1.80940761 0.12136609 -0.32092828 0.70995249 -0.68009789] V0: [[ 2.14787991e-06 -3.94067569e-11 -2.22220546e-12 3.61228639e-11 8.99223179e-14 4.33362150e-14] [-3.94067569e-11 3.55423772e-08 -9.33819021e-14 6.13174384e-13 2.12925701e-15 1.23790909e-15] [-2.22220546e-12 -9.33819021e-14 3.54064713e-09 2.81193633e-14 1.17791894e-16 7.84877731e-17] [ 3.61228639e-11 6.13174384e-13 2.81193633e-14 2.77986824e-06 -9.43431769e-12 -5.61786938e-12] [ 8.99223179e-14 2.12925702e-15 1.17791894e-16 -9.43431770e-12 6.74801704e-09 -3.48610071e-14] [ 4.33362150e-14 1.23790909e-15 7.84877731e-17 -5.61786938e-12 -3.48610071e-14 7.06459069e-09]] LogLike[0350]=-3092.502892 sigma_a=0.153854 R: [[24.73626679 0.50211476] [ 0.50211476 25.96706882]] m0: [ 3.55548103 -1.80940762 0.12136609 -0.32092806 0.70995249 -0.68009789] V0: [[ 2.14787458e-06 -3.95369846e-11 -2.23146956e-12 3.62335396e-11 9.02403660e-14 4.35126393e-14] [-3.95369846e-11 3.55423725e-08 -9.38350764e-14 6.15343222e-13 2.13789180e-15 1.24362716e-15] [-2.23146956e-12 -9.38350764e-14 3.54064707e-09 2.82338506e-14 1.18336008e-16 7.88964628e-17] [ 3.62335396e-11 6.15343222e-13 2.82338506e-14 2.77985966e-06 -9.46530196e-12 -5.64123002e-12] [ 9.02403660e-14 2.13789180e-15 1.18336008e-16 -9.46530196e-12 6.74801687e-09 -3.50299896e-14] [ 4.35126393e-14 1.24362716e-15 7.88964628e-17 -5.64123002e-12 -3.50299896e-14 7.06459043e-09]] LogLike[0351]=-3092.484397 sigma_a=0.153610 R: [[24.7362889 0.50190811] [ 0.50190811 25.9677089 ]] m0: [ 3.5554808 -1.80940762 0.12136609 -0.32092784 0.70995249 -0.68009789] V0: [[ 2.14786925e-06 -3.96673898e-11 -2.24075275e-12 3.63442456e-11 9.05587159e-14 4.36893558e-14] [-3.96673899e-11 3.55423677e-08 -9.42894912e-14 6.17514119e-13 2.14654074e-15 1.24935864e-15] [-2.24075275e-12 -9.42894912e-14 3.54064700e-09 2.83485275e-14 1.18881398e-16 7.93063975e-17] [ 3.63442456e-11 6.17514119e-13 2.83485275e-14 2.77985108e-06 -9.49632798e-12 -5.66463852e-12] [ 9.05587159e-14 2.14654075e-15 1.18881398e-16 -9.49632798e-12 6.74801671e-09 -3.51994333e-14] [ 4.36893558e-14 1.24935864e-15 7.93063975e-17 -5.66463852e-12 -3.51994333e-14 7.06459017e-09]] LogLike[0352]=-3092.462546 sigma_a=0.153322 R: [[24.73630681 0.50174416] [ 0.50174416 25.96821774]] m0: [ 3.55548058 -1.80940763 0.12136609 -0.32092763 0.70995249 -0.68009789] V0: [[ 2.14786391e-06 -3.97979346e-11 -2.25005096e-12 3.64549630e-11 9.08772675e-14 4.38662824e-14] [-3.97979346e-11 3.55423630e-08 -9.47448829e-14 6.19686391e-13 2.15519987e-15 1.25510004e-15] [-2.25005096e-12 -9.47448829e-14 3.54064693e-09 2.84633409e-14 1.19427732e-16 7.97172683e-17] [ 3.64549630e-11 6.19686391e-13 2.84633409e-14 2.77984250e-06 -9.52738667e-12 -5.68808459e-12] [ 9.08772675e-14 2.15519987e-15 1.19427732e-16 -9.52738667e-12 6.74801654e-09 -3.53692399e-14] [ 4.38662824e-14 1.25510004e-15 7.97172683e-17 -5.68808459e-12 -3.53692399e-14 7.06458990e-09]] LogLike[0353]=-3092.441719 sigma_a=0.153047 R: [[24.73632798 0.50155226] [ 0.50155226 25.96881436]] m0: [ 3.55548035 -1.80940764 0.12136609 -0.32092741 0.7099525 -0.68009789] V0: [[ 2.14785857e-06 -3.99286450e-11 -2.25936700e-12 3.65657130e-11 9.11961129e-14 4.40434884e-14] [-3.99286450e-11 3.55423582e-08 -9.52014343e-14 6.21860667e-13 2.16387254e-15 1.26085419e-15] [-2.25936700e-12 -9.52014343e-14 3.54064686e-09 2.85783356e-14 1.19975280e-16 8.01293196e-17] [ 3.65657130e-11 6.21860667e-13 2.85783356e-14 2.77983391e-06 -9.55848434e-12 -5.71157536e-12] [ 9.11961129e-14 2.16387254e-15 1.19975280e-16 -9.55848434e-12 6.74801637e-09 -3.55394778e-14] [ 4.40434884e-14 1.26085419e-15 8.01293196e-17 -5.71157536e-12 -3.55394778e-14 7.06458963e-09]] LogLike[0354]=-3092.420171 sigma_a=0.152762 R: [[24.73634872 0.50136781] [ 0.50136781 25.96938897]] m0: [ 3.55548013 -1.80940764 0.12136609 -0.32092719 0.7099525 -0.68009788] V0: [[ 2.14785323e-06 -4.00595136e-11 -2.26870010e-12 3.66764858e-11 9.15152152e-14 4.42209486e-14] [-4.00595136e-11 3.55423535e-08 -9.56590965e-14 6.24036697e-13 2.17255753e-15 1.26662013e-15] [-2.26870010e-12 -9.56590965e-14 3.54064680e-09 2.86934954e-14 1.20523950e-16 8.05424718e-17] [ 3.66764858e-11 6.24036697e-13 2.86934954e-14 2.77982531e-06 -9.58961919e-12 -5.73510888e-12] [ 9.15152152e-14 2.17255753e-15 1.20523950e-16 -9.58961919e-12 6.74801621e-09 -3.57101285e-14] [ 4.42209486e-14 1.26662013e-15 8.05424718e-17 -5.73510888e-12 -3.57101285e-14 7.06458937e-09]] LogLike[0355]=-3092.398894 sigma_a=0.152481 R: [[24.73637052 0.50117684] [ 0.50117684 25.96998503]] m0: [ 3.55547991 -1.80940765 0.12136609 -0.32092698 0.7099525 -0.68009788] V0: [[ 2.14784789e-06 -4.01905468e-11 -2.27805092e-12 3.67872857e-11 9.18345943e-14 4.43986783e-14] [-4.01905468e-11 3.55423487e-08 -9.61179135e-14 6.26214614e-13 2.18125559e-15 1.27239848e-15] [-2.27805092e-12 -9.61179135e-14 3.54064673e-09 2.88088302e-14 1.21073801e-16 8.09567813e-17] [ 3.67872857e-11 6.26214614e-13 2.88088302e-14 2.77981671e-06 -9.62079269e-12 -5.75868683e-12] [ 9.18345943e-14 2.18125559e-15 1.21073801e-16 -9.62079269e-12 6.74801604e-09 -3.58812086e-14] [ 4.43986783e-14 1.27239848e-15 8.09567813e-17 -5.75868683e-12 -3.58812086e-14 7.06458910e-09]] LogLike[0356]=-3092.376891 sigma_a=0.152190 R: [[24.73639251 0.50098747] [ 0.50098747 25.97057723]] m0: [ 3.55547968 -1.80940765 0.12136609 -0.32092676 0.7099525 -0.68009788] V0: [[ 2.14784254e-06 -4.03217429e-11 -2.28741933e-12 3.68981104e-11 9.21542417e-14 4.45766719e-14] [-4.03217429e-11 3.55423439e-08 -9.65778767e-14 6.28394361e-13 2.18996644e-15 1.27818906e-15] [-2.28741933e-12 -9.65778767e-14 3.54064666e-09 2.89243363e-14 1.21624815e-16 8.13722323e-17] [ 3.68981104e-11 6.28394361e-13 2.89243363e-14 2.77980811e-06 -9.65200448e-12 -5.78230882e-12] [ 9.21542417e-14 2.18996644e-15 1.21624815e-16 -9.65200449e-12 6.74801587e-09 -3.60527147e-14] [ 4.45766719e-14 1.27818906e-15 8.13722323e-17 -5.78230882e-12 -3.60527147e-14 7.06458883e-09]] LogLike[0357]=-3092.351722 sigma_a=0.151857 R: [[24.73641564 0.5007913 ] [ 0.5007913 25.97119185]] m0: [ 3.55547946 -1.80940766 0.12136609 -0.32092654 0.7099525 -0.68009788] V0: [[ 2.14783719e-06 -4.04531082e-11 -2.29680600e-12 3.70089629e-11 9.24741735e-14 4.47549429e-14] [-4.04531082e-11 3.55423391e-08 -9.70390309e-14 6.30576048e-13 2.19869073e-15 1.28399243e-15] [-2.29680600e-12 -9.70390309e-14 3.54064659e-09 2.90400225e-14 1.22177048e-16 8.17888773e-17] [ 3.70089629e-11 6.30576049e-13 2.90400225e-14 2.77979950e-06 -9.68325604e-12 -5.80597659e-12] [ 9.24741735e-14 2.19869073e-15 1.22177048e-16 -9.68325604e-12 6.74801570e-09 -3.62246636e-14] [ 4.47549429e-14 1.28399243e-15 8.17888773e-17 -5.80597659e-12 -3.62246636e-14 7.06458856e-09]] LogLike[0358]=-3092.332207 sigma_a=0.151599 R: [[24.73644258 0.50056676] [ 0.50056676 25.97189683]] m0: [ 3.55547924 -1.80940766 0.12136609 -0.32092633 0.7099525 -0.68009788] V0: [[ 2.14783183e-06 -4.05846680e-11 -2.30621367e-12 3.71198524e-11 9.27944464e-14 4.49335407e-14] [-4.05846680e-11 3.55423343e-08 -9.75015555e-14 6.32760063e-13 2.20743086e-15 1.28981078e-15] [-2.30621367e-12 -9.75015555e-14 3.54064652e-09 2.91559210e-14 1.22730706e-16 8.22069150e-17] [ 3.71198524e-11 6.32760063e-13 2.91559210e-14 2.77979088e-06 -9.71455336e-12 -5.82969702e-12] [ 9.27944464e-14 2.20743086e-15 1.22730706e-16 -9.71455336e-12 6.74801553e-09 -3.63971221e-14] [ 4.49335407e-14 1.28981078e-15 8.22069150e-17 -5.82969702e-12 -3.63971221e-14 7.06458829e-09]] LogLike[0359]=-3092.309602 sigma_a=0.151299 R: [[24.73646423 0.50039003] [ 0.50039003 25.9724528 ]] m0: [ 3.55547902 -1.80940767 0.12136609 -0.32092611 0.70995251 -0.68009788] V0: [[ 2.14782647e-06 -4.07163790e-11 -2.31563769e-12 3.72307534e-11 9.31149352e-14 4.51123655e-14] [-4.07163790e-11 3.55423295e-08 -9.79651478e-14 6.34945550e-13 2.21618198e-15 1.29563992e-15] [-2.31563769e-12 -9.79651478e-14 3.54064646e-09 2.92719667e-14 1.23285389e-16 8.26259750e-17] [ 3.72307534e-11 6.34945550e-13 2.92719667e-14 2.77978226e-06 -9.74588607e-12 -5.85345833e-12] [ 9.31149352e-14 2.21618198e-15 1.23285389e-16 -9.74588607e-12 6.74801536e-09 -3.65699772e-14] [ 4.51123655e-14 1.29563992e-15 8.26259750e-17 -5.85345833e-12 -3.65699772e-14 7.06458802e-09]] LogLike[0360]=-3092.287683 sigma_a=0.151009 R: [[24.73648937 0.50018713] [ 0.50018713 25.97309225]] m0: [ 3.5554788 -1.80940768 0.12136609 -0.32092589 0.70995251 -0.68009788] V0: [[ 2.14782111e-06 -4.08482659e-11 -2.32508073e-12 3.73416876e-11 9.34357321e-14 4.52914860e-14] [-4.08482659e-11 3.55423247e-08 -9.84299833e-14 6.37133139e-13 2.22494744e-15 1.30148263e-15] [-2.32508073e-12 -9.84299833e-14 3.54064639e-09 2.93882044e-14 1.23841365e-16 8.30462990e-17] [ 3.73416876e-11 6.37133139e-13 2.93882044e-14 2.77977363e-06 -9.77726017e-12 -5.87726735e-12] [ 9.34357321e-14 2.22494744e-15 1.23841365e-16 -9.77726017e-12 6.74801519e-09 -3.67432945e-14] [ 4.52914860e-14 1.30148263e-15 8.30462990e-17 -5.87726735e-12 -3.67432945e-14 7.06458775e-09]] LogLike[0361]=-3092.266062 sigma_a=0.150722 R: [[24.73651438 0.49998886] [ 0.49998886 25.97371833]] m0: [ 3.55547858 -1.80940768 0.12136609 -0.32092568 0.70995251 -0.68009788] V0: [[ 2.14781574e-06 -4.09803240e-11 -2.33454230e-12 3.74526470e-11 9.37568078e-14 4.54708827e-14] [-4.09803240e-11 3.55423199e-08 -9.88960306e-14 6.39322629e-13 2.23372628e-15 1.30733819e-15] [-2.33454230e-12 -9.88960306e-14 3.54064632e-09 2.95046215e-14 1.24398564e-16 8.34678282e-17] [ 3.74526470e-11 6.39322629e-13 2.95046215e-14 2.77976500e-06 -9.80867448e-12 -5.90112279e-12] [ 9.37568078e-14 2.23372628e-15 1.24398564e-16 -9.80867448e-12 6.74801502e-09 -3.69170622e-14] [ 4.54708827e-14 1.30733819e-15 8.34678282e-17 -5.90112279e-12 -3.69170622e-14 7.06458747e-09]] LogLike[0362]=-3092.244496 sigma_a=0.150436 R: [[24.73653953 0.49979274] [ 0.49979274 25.97433878]] m0: [ 3.55547837 -1.80940769 0.12136609 -0.32092546 0.70995251 -0.68009788] V0: [[ 2.14781037e-06 -4.11125516e-11 -2.34402224e-12 3.75636315e-11 9.40781608e-14 4.56505538e-14] [-4.11125516e-11 3.55423151e-08 -9.93632794e-14 6.41514011e-13 2.24251842e-15 1.31320651e-15] [-2.34402224e-12 -9.93632794e-14 3.54064625e-09 2.96212168e-14 1.24956977e-16 8.38905545e-17] [ 3.75636315e-11 6.41514011e-13 2.96212168e-14 2.77975636e-06 -9.84012860e-12 -5.92502422e-12] [ 9.40781608e-14 2.24251842e-15 1.24956977e-16 -9.84012861e-12 6.74801485e-09 -3.70912766e-14] [ 4.56505538e-14 1.31320651e-15 8.38905545e-17 -5.92502422e-12 -3.70912766e-14 7.06458720e-09]] LogLike[0363]=-3092.228000 sigma_a=0.150217 R: [[24.73656508 0.49959656] [ 0.49959656 25.97496055]] m0: [ 3.55547815 -1.80940769 0.12136609 -0.32092524 0.70995251 -0.68009788] V0: [[ 2.14780500e-06 -4.12449490e-11 -2.35352057e-12 3.76746419e-11 9.43997928e-14 4.58305005e-14] [-4.12449490e-11 3.55423102e-08 -9.98317329e-14 6.43707297e-13 2.25132392e-15 1.31908764e-15] [-2.35352057e-12 -9.98317329e-14 3.54064618e-09 2.97379909e-14 1.25516609e-16 8.43144833e-17] [ 3.76746419e-11 6.43707297e-13 2.97379909e-14 2.77974772e-06 -9.87162260e-12 -5.94897175e-12] [ 9.43997928e-14 2.25132392e-15 1.25516609e-16 -9.87162261e-12 6.74801468e-09 -3.72659386e-14] [ 4.58305005e-14 1.31908764e-15 8.43144833e-17 -5.94897175e-12 -3.72659386e-14 7.06458693e-09]] LogLike[0364]=-3092.203391 sigma_a=0.149889 R: [[24.73658518 0.49944475] [ 0.49944475 25.97544246]] m0: [ 3.55547793 -1.8094077 0.1213661 -0.32092503 0.70995251 -0.68009788] V0: [[ 2.14779962e-06 -4.13774765e-11 -2.36303301e-12 3.77856608e-11 9.47216067e-14 4.60106408e-14] [-4.13774765e-11 3.55423054e-08 -1.00301112e-13 6.45901823e-13 2.26013880e-15 1.32497804e-15] [-2.36303301e-12 -1.00301112e-13 3.54064611e-09 2.98548907e-14 1.26077123e-16 8.47392949e-17] [ 3.77856608e-11 6.45901823e-13 2.98548907e-14 2.77973907e-06 -9.90314704e-12 -5.97295457e-12] [ 9.47216067e-14 2.26013880e-15 1.26077123e-16 -9.90314704e-12 6.74801451e-09 -3.74409443e-14] [ 4.60106408e-14 1.32497804e-15 8.47392949e-17 -5.97295457e-12 -3.74409443e-14 7.06458665e-09]] LogLike[0365]=-3092.178077 sigma_a=0.149553 R: [[24.736615 0.4992217 ] [ 0.4992217 25.97615174]] m0: [ 3.55547772 -1.8094077 0.1213661 -0.32092481 0.70995252 -0.68009787] V0: [[ 2.14779424e-06 -4.15101992e-11 -2.37256664e-12 3.78967267e-11 9.50437912e-14 4.61911259e-14] [-4.15101992e-11 3.55423005e-08 -1.00771878e-13 6.48098877e-13 2.26897040e-15 1.33088409e-15] [-2.37256664e-12 -1.00771878e-13 3.54064604e-09 2.99720145e-14 1.26639128e-16 8.51655573e-17] [ 3.78967267e-11 6.48098877e-13 2.99720145e-14 2.77973041e-06 -9.93471752e-12 -5.99699055e-12] [ 9.50437912e-14 2.26897040e-15 1.26639128e-16 -9.93471752e-12 6.74801434e-09 -3.76164664e-14] [ 4.61911259e-14 1.33088409e-15 8.51655573e-17 -5.99699055e-12 -3.76164664e-14 7.06458637e-09]] LogLike[0366]=-3092.159643 sigma_a=0.149307 R: [[24.73664668 0.49898946] [ 0.49898946 25.97689173]] m0: [ 3.5554775 -1.80940771 0.1213661 -0.32092459 0.70995252 -0.68009787] V0: [[ 2.14778886e-06 -4.16431237e-11 -2.38212216e-12 3.80078253e-11 9.53663132e-14 4.63719424e-14] [-4.16431237e-11 3.55422957e-08 -1.01244081e-13 6.50298234e-13 2.27781805e-15 1.33680552e-15] [-2.38212216e-12 -1.01244081e-13 3.54064597e-09 3.00893533e-14 1.27202595e-16 8.55932628e-17] [ 3.80078253e-11 6.50298234e-13 3.00893533e-14 2.77972175e-06 -9.96633540e-12 -6.02108142e-12] [ 9.53663132e-14 2.27781805e-15 1.27202595e-16 -9.96633540e-12 6.74801417e-09 -3.77925224e-14] [ 4.63719424e-14 1.33680552e-15 8.55932628e-17 -6.02108142e-12 -3.77925224e-14 7.06458610e-09]] LogLike[0367]=-3092.141328 sigma_a=0.149063 R: [[24.73667056 0.49881778] [ 0.49881778 25.97743978]] m0: [ 3.55547729 -1.80940772 0.1213661 -0.32092437 0.70995252 -0.68009787] V0: [[ 2.14778347e-06 -4.17761954e-11 -2.39169370e-12 3.81189311e-11 9.56890334e-14 4.65529740e-14] [-4.17761954e-11 3.55422908e-08 -1.01717336e-13 6.52498943e-13 2.28667611e-15 1.34273733e-15] [-2.39169370e-12 -1.01717336e-13 3.54064590e-09 3.02068319e-14 1.27767050e-16 8.60219621e-17] [ 3.81189311e-11 6.52498943e-13 3.02068319e-14 2.77971309e-06 -9.99798770e-12 -6.04521229e-12] [ 9.56890334e-14 2.28667611e-15 1.27767050e-16 -9.99798771e-12 6.74801400e-09 -3.79689687e-14] [ 4.65529740e-14 1.34273733e-15 8.60219621e-17 -6.04521229e-12 -3.79689687e-14 7.06458582e-09]] LogLike[0368]=-3092.119049 sigma_a=0.148766 R: [[24.73669435 0.49864846] [ 0.49864846 25.97798111]] m0: [ 3.55547708 -1.80940772 0.1213661 -0.32092416 0.70995252 -0.68009787] V0: [[ 2.14777808e-06 -4.19094140e-11 -2.40128120e-12 3.82300580e-11 9.60119917e-14 4.67342427e-14] [-4.19094140e-11 3.55422859e-08 -1.02191639e-13 6.54701275e-13 2.29554568e-15 1.34868022e-15] [-2.40128120e-12 -1.02191639e-13 3.54064583e-09 3.03244643e-14 1.28332560e-16 8.64517065e-17] [ 3.82300580e-11 6.54701275e-13 3.03244643e-14 2.77970442e-06 -1.00296745e-11 -6.06938315e-12] [ 9.60119917e-14 2.29554568e-15 1.28332560e-16 -1.00296745e-11 6.74801383e-09 -3.81458049e-14] [ 4.67342427e-14 1.34868022e-15 8.64517065e-17 -6.06938315e-12 -3.81458049e-14 7.06458554e-09]] LogLike[0369]=-3092.100074 sigma_a=0.148513 R: [[24.7367236 0.498443 ] [ 0.498443 25.97863901]] m0: [ 3.55547687 -1.80940773 0.1213661 -0.32092394 0.70995252 -0.68009787] V0: [[ 2.14777269e-06 -4.20428120e-11 -2.41088822e-12 3.83412206e-11 9.63352687e-14 4.69158169e-14] [-4.20428120e-11 3.55422810e-08 -1.02667225e-13 6.56905783e-13 2.30443005e-15 1.35463717e-15] [-2.41088822e-12 -1.02667225e-13 3.54064576e-09 3.04422951e-14 1.28899408e-16 8.68827656e-17] [ 3.83412206e-11 6.56905783e-13 3.04422951e-14 2.77969574e-06 -1.00614035e-11 -6.09360296e-12] [ 9.63352688e-14 2.30443005e-15 1.28899408e-16 -1.00614035e-11 6.74801366e-09 -3.83231181e-14] [ 4.69158169e-14 1.35463717e-15 8.68827656e-17 -6.09360296e-12 -3.83231181e-14 7.06458526e-09]] LogLike[0370]=-3092.078807 sigma_a=0.148229 R: [[24.73674928 0.49826569] [ 0.49826569 25.97920774]] m0: [ 3.55547665 -1.80940773 0.1213661 -0.32092372 0.70995252 -0.68009787] V0: [[ 2.14776729e-06 -4.21763633e-11 -2.42051193e-12 3.84523989e-11 9.66587759e-14 4.70976285e-14] [-4.21763633e-11 3.55422761e-08 -1.03143909e-13 6.59111860e-13 2.31332593e-15 1.36060539e-15] [-2.42051193e-12 -1.03143909e-13 3.54064569e-09 3.05602801e-14 1.29467328e-16 8.73148949e-17] [ 3.84523989e-11 6.59111860e-13 3.05602801e-14 2.77968706e-06 -1.00931684e-11 -6.11786454e-12] [ 9.66587759e-14 2.31332593e-15 1.29467328e-16 -1.00931684e-11 6.74801348e-09 -3.85008391e-14] [ 4.70976285e-14 1.36060539e-15 8.73148949e-17 -6.11786454e-12 -3.85008391e-14 7.06458498e-09]] LogLike[0371]=-3092.064193 sigma_a=0.148034 R: [[24.73677829 0.49806789] [ 0.49806789 25.9798432 ]] m0: [ 3.55547644 -1.80940774 0.1213661 -0.3209235 0.70995253 -0.68009787] V0: [[ 2.14776189e-06 -4.23100871e-11 -2.43015443e-12 3.85636077e-11 9.69825790e-14 4.72797283e-14] [-4.23100871e-11 3.55422712e-08 -1.03621830e-13 6.61319956e-13 2.32223577e-15 1.36658696e-15] [-2.43015443e-12 -1.03621830e-13 3.54064561e-09 3.06784522e-14 1.30036519e-16 8.77482788e-17] [ 3.85636077e-11 6.61319956e-13 3.06784522e-14 2.77967837e-06 -1.01249739e-11 -6.14217323e-12] [ 9.69825790e-14 2.32223577e-15 1.30036519e-16 -1.01249739e-11 6.74801331e-09 -3.86790200e-14] [ 4.72797283e-14 1.36658696e-15 8.77482788e-17 -6.14217323e-12 -3.86790200e-14 7.06458470e-09]] LogLike[0372]=-3092.042657 sigma_a=0.147746 R: [[24.73679893 0.4979294 ] [ 0.4979294 25.98028876]] m0: [ 3.55547623 -1.80940774 0.1213661 -0.32092329 0.70995253 -0.68009787] V0: [[ 2.14775649e-06 -4.24439297e-11 -2.43980989e-12 3.86748192e-11 9.73065327e-14 4.74619966e-14] [-4.24439297e-11 3.55422663e-08 -1.04100605e-13 6.63529079e-13 2.33115379e-15 1.37257678e-15] [-2.43980989e-12 -1.04100605e-13 3.54064554e-09 3.07967337e-14 1.30606495e-16 8.81824591e-17] [ 3.86748192e-11 6.63529079e-13 3.07967337e-14 2.77966968e-06 -1.01568071e-11 -6.16651425e-12] [ 9.73065327e-14 2.33115379e-15 1.30606495e-16 -1.01568071e-11 6.74801314e-09 -3.88575176e-14] [ 4.74619966e-14 1.37257678e-15 8.81824591e-17 -6.16651425e-12 -3.88575176e-14 7.06458441e-09]] LogLike[0373]=-3092.023661 sigma_a=0.147492 R: [[24.736829 0.49772917] [ 0.49772917 25.98093383]] m0: [ 3.55547602 -1.80940775 0.1213661 -0.32092307 0.70995253 -0.68009787] V0: [[ 2.14775108e-06 -4.25779482e-11 -2.44948453e-12 3.87860717e-11 9.76308166e-14 4.76445749e-14] [-4.25779482e-11 3.55422613e-08 -1.04580643e-13 6.65740455e-13 2.34008684e-15 1.37858077e-15] [-2.44948453e-12 -1.04580643e-13 3.54064547e-09 3.09152165e-14 1.31177819e-16 8.86179596e-17] [ 3.87860717e-11 6.65740455e-13 3.09152165e-14 2.77966099e-06 -1.01886818e-11 -6.19090343e-12] [ 9.76308166e-14 2.34008684e-15 1.31177819e-16 -1.01886818e-11 6.74801296e-09 -3.90364853e-14] [ 4.76445749e-14 1.37858077e-15 8.86179596e-17 -6.19090343e-12 -3.90364853e-14 7.06458413e-09]] LogLike[0374]=-3092.003882 sigma_a=0.147227 R: [[24.73685642 0.49754974] [ 0.49754974 25.98151282]] m0: [ 3.55547581 -1.80940775 0.1213661 -0.32092285 0.70995253 -0.68009787] V0: [[ 2.14774567e-06 -4.27121224e-11 -2.45917616e-12 3.88973418e-11 9.79553388e-14 4.78273973e-14] [-4.27121224e-11 3.55422564e-08 -1.05061801e-13 6.67953456e-13 2.34903172e-15 1.38459632e-15] [-2.45917616e-12 -1.05061801e-13 3.54064540e-09 3.10338578e-14 1.31750243e-16 8.90545596e-17] [ 3.88973418e-11 6.67953456e-13 3.10338578e-14 2.77965229e-06 -1.02205930e-11 -6.21533513e-12] [ 9.79553388e-14 2.34903172e-15 1.31750243e-16 -1.02205930e-11 6.74801279e-09 -3.92158692e-14] [ 4.78273973e-14 1.38459632e-15 8.90545596e-17 -6.21533513e-12 -3.92158692e-14 7.06458385e-09]] LogLike[0375]=-3091.977741 sigma_a=0.146876 R: [[24.73688528 0.49736319] [ 0.49736319 25.98211567]] m0: [ 3.55547561 -1.80940776 0.1213661 -0.32092263 0.70995253 -0.68009787] V0: [[ 2.14774026e-06 -4.28464593e-11 -2.46888556e-12 3.90086374e-11 9.82801302e-14 4.80104864e-14] [-4.28464593e-11 3.55422514e-08 -1.05544132e-13 6.70168294e-13 2.35798952e-15 1.39062434e-15] [-2.46888556e-12 -1.05544132e-13 3.54064533e-09 3.11526722e-14 1.32323855e-16 8.94923373e-17] [ 3.90086374e-11 6.70168294e-13 3.11526722e-14 2.77964358e-06 -1.02525424e-11 -6.23981134e-12] [ 9.82801302e-14 2.35798952e-15 1.32323855e-16 -1.02525424e-11 6.74801262e-09 -3.93956887e-14] [ 4.80104864e-14 1.39062434e-15 8.94923373e-17 -6.23981134e-12 -3.93956887e-14 7.06458356e-09]] LogLike[0376]=-3091.962785 sigma_a=0.146676 R: [[24.73692389 0.49711719] [ 0.49711719 25.98291201]] m0: [ 3.5554754 -1.80940776 0.1213661 -0.32092242 0.70995253 -0.68009786] V0: [[ 2.14773484e-06 -4.29810125e-11 -2.47861859e-12 3.91199793e-11 9.86053159e-14 4.81939505e-14] [-4.29810125e-11 3.55422465e-08 -1.06028021e-13 6.72385821e-13 2.36696549e-15 1.39666960e-15] [-2.47861859e-12 -1.06028021e-13 3.54064525e-09 3.12717300e-14 1.32899107e-16 8.99317295e-17] [ 3.91199793e-11 6.72385821e-13 3.12717300e-14 2.77963487e-06 -1.02845428e-11 -6.26434681e-12] [ 9.86053159e-14 2.36696549e-15 1.32899107e-16 -1.02845428e-11 6.74801244e-09 -3.95760879e-14] [ 4.81939505e-14 1.39666960e-15 8.99317295e-17 -6.26434681e-12 -3.95760879e-14 7.06458327e-09]] LogLike[0377]=-3091.942869 sigma_a=0.146409 R: [[24.73694715 0.49697196] [ 0.49697196 25.98338289]] m0: [ 3.55547519 -1.80940777 0.1213661 -0.3209222 0.70995254 -0.68009786] V0: [[ 2.14772942e-06 -4.31156896e-11 -2.48836516e-12 3.92313142e-11 9.89306298e-14 4.83775747e-14] [-4.31156896e-11 3.55422415e-08 -1.06512805e-13 6.74604224e-13 2.37594922e-15 1.40272297e-15] [-2.48836516e-12 -1.06512805e-13 3.54064518e-09 3.13908919e-14 1.33475131e-16 9.03719208e-17] [ 3.92313142e-11 6.74604224e-13 3.13908919e-14 2.77962615e-06 -1.03165719e-11 -6.28891606e-12] [ 9.89306298e-14 2.37594922e-15 1.33475131e-16 -1.03165719e-11 6.74801227e-09 -3.97568192e-14] [ 4.83775747e-14 1.40272297e-15 9.03719208e-17 -6.28891606e-12 -3.97568192e-14 7.06458299e-09]] LogLike[0378]=-3091.924634 sigma_a=0.146164 R: [[24.73697756 0.4967833 ] [ 0.4967833 25.98399536]] m0: [ 3.55547499 -1.80940777 0.1213661 -0.32092198 0.70995254 -0.68009786] V0: [[ 2.14772400e-06 -4.32505324e-11 -2.49812987e-12 3.93426837e-11 9.92562432e-14 4.85614851e-14] [-4.32505324e-11 3.55422365e-08 -1.06998789e-13 6.76824669e-13 2.38494683e-15 1.40878955e-15] [-2.49812987e-12 -1.06998789e-13 3.54064511e-09 3.15102395e-14 1.34052412e-16 9.08133511e-17] [ 3.93426837e-11 6.76824669e-13 3.15102395e-14 2.77961743e-06 -1.03486401e-11 -6.31353081e-12] [ 9.92562432e-14 2.38494683e-15 1.34052412e-16 -1.03486401e-11 6.74801209e-09 -3.99379963e-14] [ 4.85614851e-14 1.40878955e-15 9.08133511e-17 -6.31353081e-12 -3.99379963e-14 7.06458270e-09]] LogLike[0379]=-3091.905936 sigma_a=0.145912 R: [[24.73700616 0.49660842] [ 0.49660842 25.9845639 ]] m0: [ 3.55547478 -1.80940778 0.1213661 -0.32092176 0.70995254 -0.68009786] V0: [[ 2.14771857e-06 -4.33855275e-11 -2.50791126e-12 3.94540716e-11 9.95820929e-14 4.87456366e-14] [-4.33855275e-11 3.55422315e-08 -1.07485875e-13 6.79046726e-13 2.39395613e-15 1.41486756e-15] [-2.50791126e-12 -1.07485875e-13 3.54064504e-09 3.16297438e-14 1.34630781e-16 9.12558702e-17] [ 3.94540716e-11 6.79046727e-13 3.16297438e-14 2.77960870e-06 -1.03807440e-11 -6.33818728e-12] [ 9.95820929e-14 2.39395612e-15 1.34630781e-16 -1.03807440e-11 6.74801192e-09 -4.01195831e-14] [ 4.87456366e-14 1.41486756e-15 9.12558702e-17 -6.33818728e-12 -4.01195831e-14 7.06458241e-09]] LogLike[0380]=-3091.886420 sigma_a=0.145650 R: [[24.73703585 0.4964291 ] [ 0.4964291 25.98514765]] m0: [ 3.55547458 -1.80940778 0.1213661 -0.32092154 0.70995254 -0.68009786] V0: [[ 2.14771315e-06 -4.35206794e-11 -2.51770981e-12 3.95654830e-11 9.99081989e-14 4.89300439e-14] [-4.35206794e-11 3.55422266e-08 -1.07974097e-13 6.81270533e-13 2.40297782e-15 1.42095759e-15] [-2.51770981e-12 -1.07974097e-13 3.54064496e-09 3.17494141e-14 1.35210294e-16 9.16995288e-17] [ 3.95654830e-11 6.81270533e-13 3.17494141e-14 2.77959997e-06 -1.04128847e-11 -6.36288676e-12] [ 9.99081989e-14 2.40297782e-15 1.35210294e-16 -1.04128847e-11 6.74801174e-09 -4.03015921e-14] [ 4.89300439e-14 1.42095759e-15 9.16995288e-17 -6.36288676e-12 -4.03015921e-14 7.06458212e-09]] LogLike[0381]=-3091.870534 sigma_a=0.145436 R: [[24.73706732 0.49624144] [ 0.49624144 25.98575942]] m0: [ 3.55547437 -1.80940779 0.1213661 -0.32092133 0.70995254 -0.68009786] V0: [[ 2.14770771e-06 -4.36559955e-11 -2.52752636e-12 3.96769200e-11 1.00234576e-13 4.91147207e-14] [-4.36559955e-11 3.55422216e-08 -1.08463511e-13 6.83496189e-13 2.41201258e-15 1.42706027e-15] [-2.52752636e-12 -1.08463511e-13 3.54064489e-09 3.18692594e-14 1.35791010e-16 9.21443866e-17] [ 3.96769200e-11 6.83496189e-13 3.18692594e-14 2.77959123e-06 -1.04450639e-11 -6.38763133e-12] [ 1.00234576e-13 2.41201257e-15 1.35791010e-16 -1.04450639e-11 6.74801156e-09 -4.04840439e-14] [ 4.91147207e-14 1.42706027e-15 9.21443866e-17 -6.38763133e-12 -4.04840439e-14 7.06458183e-09]] LogLike[0382]=-3091.848792 sigma_a=0.145143 R: [[24.73709357 0.49608702] [ 0.49608702 25.98626344]] m0: [ 3.55547417 -1.80940779 0.1213661 -0.32092111 0.70995254 -0.68009786] V0: [[ 2.14770228e-06 -4.37914455e-11 -2.53735762e-12 3.97883676e-11 1.00561145e-13 4.92996009e-14] [-4.37914455e-11 3.55422165e-08 -1.08953899e-13 6.85723153e-13 2.42105719e-15 1.43317274e-15] [-2.53735762e-12 -1.08953899e-13 3.54064482e-09 3.19892367e-14 1.36372659e-16 9.25901857e-17] [ 3.97883676e-11 6.85723153e-13 3.19892367e-14 2.77958249e-06 -1.04772745e-11 -6.41241265e-12] [ 1.00561145e-13 2.42105719e-15 1.36372659e-16 -1.04772745e-11 6.74801139e-09 -4.06668576e-14] [ 4.92996009e-14 1.43317274e-15 9.25901857e-17 -6.41241265e-12 -4.06668576e-14 7.06458154e-09]] LogLike[0383]=-3091.831687 sigma_a=0.144912 R: [[24.73712946 0.495878 ] [ 0.495878 25.98694661]] m0: [ 3.55547397 -1.8094078 0.1213661 -0.32092089 0.70995255 -0.68009786] V0: [[ 2.14769684e-06 -4.39270800e-11 -2.54720910e-12 3.98998550e-11 1.00888051e-13 4.94848021e-14] [-4.39270800e-11 3.55422115e-08 -1.09445628e-13 6.87952415e-13 2.43011737e-15 1.43930003e-15] [-2.54720910e-12 -1.09445628e-13 3.54064474e-09 3.21094225e-14 1.36955717e-16 9.30373778e-17] [ 3.98998550e-11 6.87952415e-13 3.21094225e-14 2.77957375e-06 -1.05095286e-11 -6.43724472e-12] [ 1.00888051e-13 2.43011737e-15 1.36955717e-16 -1.05095286e-11 6.74801121e-09 -4.08501697e-14] [ 4.94848021e-14 1.43930003e-15 9.30373778e-17 -6.43724472e-12 -4.08501697e-14 7.06458125e-09]] LogLike[0384]=-3091.811034 sigma_a=0.144634 R: [[24.73715868 0.49571047] [ 0.49571047 25.9874949 ]] m0: [ 3.55547376 -1.8094078 0.1213661 -0.32092067 0.70995255 -0.68009786] V0: [[ 2.14769140e-06 -4.40628599e-11 -2.55707655e-12 4.00113527e-11 1.01215161e-13 4.96702219e-14] [-4.40628599e-11 3.55422065e-08 -1.09938416e-13 6.90183068e-13 2.43918815e-15 1.44543789e-15] [-2.55707655e-12 -1.09938416e-13 3.54064467e-09 3.22297503e-14 1.37539782e-16 9.34855887e-17] [ 4.00113527e-11 6.90183068e-13 3.22297503e-14 2.77956499e-06 -1.05418166e-11 -6.46211671e-12] [ 1.01215161e-13 2.43918815e-15 1.37539782e-16 -1.05418166e-11 6.74801104e-09 -4.10338753e-14] [ 4.96702219e-14 1.44543789e-15 9.34855887e-17 -6.46211671e-12 -4.10338753e-14 7.06458096e-09]] LogLike[0385]=-3091.792457 sigma_a=0.144383 R: [[24.73719401 0.49551001] [ 0.49551001 25.98815184]] m0: [ 3.55547356 -1.80940781 0.1213661 -0.32092046 0.70995255 -0.68009786] V0: [[ 2.14768595e-06 -4.41988162e-11 -2.56696339e-12 4.01228834e-11 1.01542578e-13 4.98559411e-14] [-4.41988162e-11 3.55422015e-08 -1.10432490e-13 6.92415820e-13 2.44827343e-15 1.45158969e-15] [-2.56696339e-12 -1.10432490e-13 3.54064459e-09 3.23502724e-14 1.38125174e-16 9.39351175e-17] [ 4.01228834e-11 6.92415820e-13 3.23502724e-14 2.77955624e-06 -1.05741462e-11 -6.48703729e-12] [ 1.01542578e-13 2.44827343e-15 1.38125174e-16 -1.05741462e-11 6.74801086e-09 -4.12180590e-14] [ 4.98559411e-14 1.45158969e-15 9.39351175e-17 -6.48703729e-12 -4.12180590e-14 7.06458066e-09]] LogLike[0386]=-3091.781049 sigma_a=0.144229 R: [[24.73722662 0.49532764] [ 0.49532764 25.98875028]] m0: [ 3.55547336 -1.80940781 0.1213661 -0.32092024 0.70995255 -0.68009786] V0: [[ 2.14768050e-06 -4.43349318e-11 -2.57686773e-12 4.02344321e-11 1.01870238e-13 5.00419107e-14] [-4.43349318e-11 3.55421964e-08 -1.10927727e-13 6.94650229e-13 2.45737085e-15 1.45775345e-15] [-2.57686773e-12 -1.10927727e-13 3.54064452e-09 3.24709571e-14 1.38711703e-16 9.43857911e-17] [ 4.02344321e-11 6.94650229e-13 3.24709571e-14 2.77954748e-06 -1.06065130e-11 -6.51200168e-12] [ 1.01870238e-13 2.45737085e-15 1.38711703e-16 -1.06065130e-11 6.74801068e-09 -4.14026746e-14] [ 5.00419107e-14 1.45775345e-15 9.43857911e-17 -6.51200168e-12 -4.14026746e-14 7.06458037e-09]] LogLike[0387]=-3091.761893 sigma_a=0.143970 R: [[24.73724726 0.49521364] [ 0.49521364 25.98912476]] m0: [ 3.55547316 -1.80940782 0.1213661 -0.32092002 0.70995255 -0.68009786] V0: [[ 2.14767505e-06 -4.44711451e-11 -2.58678284e-12 4.03459771e-11 1.02198005e-13 5.02280102e-14] [-4.44711451e-11 3.55421914e-08 -1.11423679e-13 6.96885364e-13 2.46647458e-15 1.46392377e-15] [-2.58678284e-12 -1.11423679e-13 3.54064444e-09 3.25917262e-14 1.39298858e-16 9.48371130e-17] [ 4.03459771e-11 6.96885364e-13 3.25917262e-14 2.77953871e-06 -1.06389027e-11 -6.53699291e-12] [ 1.02198005e-13 2.46647457e-15 1.39298858e-16 -1.06389027e-11 6.74801050e-09 -4.15875557e-14] [ 5.02280102e-14 1.46392377e-15 9.48371130e-17 -6.53699291e-12 -4.15875557e-14 7.06458007e-09]] LogLike[0388]=-3091.743973 sigma_a=0.143727 R: [[24.73728118 0.49502732] [ 0.49502732 25.98973747]] m0: [ 3.55547296 -1.80940782 0.1213661 -0.3209198 0.70995256 -0.68009785] V0: [[ 2.14766960e-06 -4.46075236e-11 -2.59671613e-12 4.04575630e-11 1.02526089e-13 5.04144067e-14] [-4.46075236e-11 3.55421863e-08 -1.11920841e-13 6.99122663e-13 2.47559271e-15 1.47010774e-15] [-2.59671613e-12 -1.11920841e-13 3.54064437e-09 3.27126881e-14 1.39887310e-16 9.52897139e-17] [ 4.04575630e-11 6.99122663e-13 3.27126881e-14 2.77952994e-06 -1.06713312e-11 -6.56202978e-12] [ 1.02526089e-13 2.47559271e-15 1.39887310e-16 -1.06713313e-11 6.74801032e-09 -4.17728864e-14] [ 5.04144067e-14 1.47010774e-15 9.52897139e-17 -6.56202978e-12 -4.17728864e-14 7.06457978e-09]] LogLike[0389]=-3091.724302 sigma_a=0.143460 R: [[24.73731389 0.49485012] [ 0.49485012 25.99032087]] m0: [ 3.55547277 -1.80940783 0.1213661 -0.32091958 0.70995256 -0.68009785] V0: [[ 2.14766414e-06 -4.47440573e-11 -2.60666650e-12 4.05691682e-11 1.02854415e-13 5.06010505e-14] [-4.47440573e-11 3.55421812e-08 -1.12419138e-13 7.01361611e-13 2.48472282e-15 1.47630347e-15] [-2.60666650e-12 -1.12419138e-13 3.54064429e-09 3.28338106e-14 1.40476883e-16 9.57434416e-17] [ 4.05691682e-11 7.01361611e-13 3.28338106e-14 2.77952117e-06 -1.07037962e-11 -6.58710940e-12] [ 1.02854415e-13 2.48472282e-15 1.40476883e-16 -1.07037962e-11 6.74801015e-09 -4.19586392e-14] [ 5.06010505e-14 1.47630347e-15 9.57434416e-17 -6.58710940e-12 -4.19586392e-14 7.06457948e-09]] LogLike[0390]=-3091.704136 sigma_a=0.143187 R: [[24.7373502 0.49465576] [ 0.49465576 25.99096158]] m0: [ 3.55547257 -1.80940783 0.1213661 -0.32091937 0.70995256 -0.68009785] V0: [[ 2.14765868e-06 -4.48807619e-11 -2.61663571e-12 4.06808015e-11 1.03183027e-13 5.07879782e-14] [-4.48807620e-11 3.55421761e-08 -1.12918689e-13 7.03602512e-13 2.49386670e-15 1.48251256e-15] [-2.61663571e-12 -1.12918689e-13 3.54064422e-09 3.29551174e-14 1.41067726e-16 9.61984399e-17] [ 4.06808015e-11 7.03602512e-13 3.29551174e-14 2.77951238e-06 -1.07363013e-11 -6.61223621e-12] [ 1.03183027e-13 2.49386670e-15 1.41067726e-16 -1.07363013e-11 6.74800997e-09 -4.21448578e-14] [ 5.07879782e-14 1.48251256e-15 9.61984399e-17 -6.61223621e-12 -4.21448578e-14 7.06457918e-09]] LogLike[0391]=-3091.684089 sigma_a=0.142915 R: [[24.73738813 0.49445543] [ 0.49445543 25.99162281]] m0: [ 3.55547237 -1.80940784 0.1213661 -0.32091915 0.70995256 -0.68009785] V0: [[ 2.14765321e-06 -4.50176426e-11 -2.62662432e-12 4.07924606e-11 1.03511925e-13 5.09751934e-14] [-4.50176426e-11 3.55421711e-08 -1.13419532e-13 7.05845365e-13 2.50302451e-15 1.48873525e-15] [-2.62662432e-12 -1.13419532e-13 3.54064414e-09 3.30766109e-14 1.41659864e-16 9.66547363e-17] [ 4.07924606e-11 7.05845365e-13 3.30766109e-14 2.77950360e-06 -1.07688478e-11 -6.63741162e-12] [ 1.03511925e-13 2.50302451e-15 1.41659864e-16 -1.07688478e-11 6.74800979e-09 -4.23315566e-14] [ 5.09751934e-14 1.48873525e-15 9.66547363e-17 -6.63741162e-12 -4.23315566e-14 7.06457888e-09]] LogLike[0392]=-3091.665863 sigma_a=0.142667 R: [[24.73742651 0.49425537] [ 0.49425537 25.99228403]] m0: [ 3.55547218 -1.80940784 0.1213661 -0.32091893 0.70995256 -0.68009785] V0: [[ 2.14764775e-06 -4.51546990e-11 -2.63663232e-12 4.09041439e-11 1.03841103e-13 5.11626931e-14] [-4.51546990e-11 3.55421660e-08 -1.13921666e-13 7.08090132e-13 2.51219610e-15 1.49497143e-15] [-2.63663232e-12 -1.13921666e-13 3.54064407e-09 3.31982891e-14 1.42253286e-16 9.71123241e-17] [ 4.09041439e-11 7.08090132e-13 3.31982891e-14 2.77949481e-06 -1.08014355e-11 -6.66263555e-12] [ 1.03841103e-13 2.51219610e-15 1.42253286e-16 -1.08014355e-11 6.74800961e-09 -4.25187351e-14] [ 5.11626931e-14 1.49497143e-15 9.71123241e-17 -6.66263555e-12 -4.25187351e-14 7.06457858e-09]] LogLike[0393]=-3091.650603 sigma_a=0.142460 R: [[24.73746208 0.49407232] [ 0.49407232 25.99288975]] m0: [ 3.55547198 -1.80940785 0.12136611 -0.32091871 0.70995256 -0.68009785] V0: [[ 2.14764227e-06 -4.52919156e-11 -2.64665801e-12 4.10158451e-11 1.04170525e-13 5.13504451e-14] [-4.52919156e-11 3.55421608e-08 -1.14424980e-13 7.10336560e-13 2.52137992e-15 1.50121971e-15] [-2.64665801e-12 -1.14424980e-13 3.54064399e-09 3.33201311e-14 1.42847859e-16 9.75710751e-17] [ 4.10158451e-11 7.10336560e-13 3.33201311e-14 2.77948601e-06 -1.08340607e-11 -6.68790376e-12] [ 1.04170525e-13 2.52137992e-15 1.42847859e-16 -1.08340607e-11 6.74800943e-09 -4.27063519e-14] [ 5.13504451e-14 1.50121971e-15 9.75710751e-17 -6.68790376e-12 -4.27063519e-14 7.06457828e-09]] LogLike[0394]=-3091.630143 sigma_a=0.142181 R: [[24.73749238 0.49391815] [ 0.49391815 25.99340043]] m0: [ 3.55547178 -1.80940785 0.12136611 -0.32091849 0.70995257 -0.68009785] V0: [[ 2.14763680e-06 -4.54292668e-11 -2.65669856e-12 4.11275572e-11 1.04500140e-13 5.15384025e-14] [-4.54292668e-11 3.55421557e-08 -1.14929286e-13 7.12584304e-13 2.53057370e-15 1.50747794e-15] [-2.65669856e-12 -1.14929286e-13 3.54064391e-09 3.34421065e-14 1.43443380e-16 9.80307892e-17] [ 4.11275572e-11 7.12584304e-13 3.34421065e-14 2.77947721e-06 -1.08667174e-11 -6.71320914e-12] [ 1.04500140e-13 2.53057370e-15 1.43443380e-16 -1.08667174e-11 6.74800925e-09 -4.28943371e-14] [ 5.15384025e-14 1.50747794e-15 9.80307892e-17 -6.71320914e-12 -4.28943371e-14 7.06457798e-09]] LogLike[0395]=-3091.607275 sigma_a=0.141870 R: [[24.73753301 0.49371342] [ 0.49371342 25.99407937]] m0: [ 3.55547159 -1.80940786 0.12136611 -0.32091828 0.70995257 -0.68009785] V0: [[ 2.14763132e-06 -4.55667993e-11 -2.66675916e-12 4.12393067e-11 1.04830081e-13 5.17266744e-14] [-4.55667993e-11 3.55421506e-08 -1.15434930e-13 7.14834271e-13 2.53978273e-15 1.51375082e-15] [-2.66675916e-12 -1.15434930e-13 3.54064384e-09 3.35642861e-14 1.44040294e-16 9.84918917e-17] [ 4.12393067e-11 7.14834272e-13 3.35642861e-14 2.77946840e-06 -1.08994168e-11 -6.73856477e-12] [ 1.04830081e-13 2.53978273e-15 1.44040294e-16 -1.08994168e-11 6.74800907e-09 -4.30828196e-14] [ 5.17266744e-14 1.51375082e-15 9.84918917e-17 -6.73856477e-12 -4.30828196e-14 7.06457768e-09]] LogLike[0396]=-3091.588856 sigma_a=0.141619 R: [[24.73757946 0.49348274] [ 0.49348274 25.99484538]] m0: [ 3.5554714 -1.80940786 0.12136611 -0.32091806 0.70995257 -0.68009785] V0: [[ 2.14762584e-06 -4.57045356e-11 -2.67684227e-12 4.13510906e-11 1.05160366e-13 5.19152870e-14] [-4.57045356e-11 3.55421455e-08 -1.15942077e-13 7.17086583e-13 2.54900826e-15 1.52003975e-15] [-2.67684227e-12 -1.15942077e-13 3.54064376e-09 3.36866869e-14 1.44638736e-16 9.89545252e-17] [ 4.13510906e-11 7.17086583e-13 3.36866869e-14 2.77945959e-06 -1.09321641e-11 -6.76397684e-12] [ 1.05160366e-13 2.54900826e-15 1.44638736e-16 -1.09321641e-11 6.74800889e-09 -4.32718610e-14] [ 5.19152870e-14 1.52003975e-15 9.89545252e-17 -6.76397684e-12 -4.32718610e-14 7.06457738e-09]] LogLike[0397]=-3091.573385 sigma_a=0.141407 R: [[24.73761795 0.49329429] [ 0.49329429 25.9954719 ]] m0: [ 3.55547121 -1.80940787 0.12136611 -0.32091784 0.70995257 -0.68009785] V0: [[ 2.14762036e-06 -4.58424364e-11 -2.68694361e-12 4.14628862e-11 1.05490881e-13 5.21041484e-14] [-4.58424364e-11 3.55421403e-08 -1.16450442e-13 7.19340469e-13 2.55824583e-15 1.52634079e-15] [-2.68694361e-12 -1.16450442e-13 3.54064368e-09 3.38092492e-14 1.45238330e-16 9.94183347e-17] [ 4.14628862e-11 7.19340469e-13 3.38092492e-14 2.77945077e-06 -1.09649499e-11 -6.78943445e-12] [ 1.05490881e-13 2.55824583e-15 1.45238330e-16 -1.09649499e-11 6.74800871e-09 -4.34613546e-14] [ 5.21041484e-14 1.52634079e-15 9.94183347e-17 -6.78943445e-12 -4.34613546e-14 7.06457707e-09]] LogLike[0398]=-3091.551751 sigma_a=0.141112 R: [[24.7376507 0.49313566] [ 0.49313566 25.99599982]] m0: [ 3.55547101 -1.80940787 0.12136611 -0.32091762 0.70995257 -0.68009785] V0: [[ 2.14761487e-06 -4.59804759e-11 -2.69706031e-12 4.15746929e-11 1.05821594e-13 5.22932212e-14] [-4.59804759e-11 3.55421352e-08 -1.16959835e-13 7.21595705e-13 2.56749367e-15 1.53265211e-15] [-2.69706031e-12 -1.16959835e-13 3.54064361e-09 3.39319489e-14 1.45838903e-16 9.98831415e-17] [ 4.15746929e-11 7.21595705e-13 3.39319489e-14 2.77944195e-06 -1.09977681e-11 -6.81493045e-12] [ 1.05821594e-13 2.56749367e-15 1.45838903e-16 -1.09977681e-11 6.74800853e-09 -4.36512297e-14] [ 5.22932212e-14 1.53265211e-15 9.98831415e-17 -6.81493045e-12 -4.36512297e-14 7.06457677e-09]] LogLike[0399]=-3091.532695 sigma_a=0.140851 R: [[24.73769649 0.49291613] [ 0.49291613 25.99673126]] m0: [ 3.55547082 -1.80940788 0.12136611 -0.3209174 0.70995257 -0.68009784] V0: [[ 2.14760938e-06 -4.61187103e-11 -2.70719860e-12 4.16865411e-11 1.06152662e-13 5.24826350e-14] [-4.61187103e-11 3.55421300e-08 -1.17470672e-13 7.23853356e-13 2.57675802e-15 1.53897931e-15] [-2.70719860e-12 -1.17470672e-13 3.54064353e-09 3.40548699e-14 1.46440987e-16 1.00349456e-16] [ 4.16865411e-11 7.23853356e-13 3.40548699e-14 2.77943312e-06 -1.10306322e-11 -6.84048063e-12] [ 1.06152662e-13 2.57675802e-15 1.46440987e-16 -1.10306322e-11 6.74800835e-09 -4.38416421e-14] [ 5.24826350e-14 1.53897931e-15 1.00349456e-16 -6.84048063e-12 -4.38416421e-14 7.06457646e-09]] .. GENERATED FROM PYTHON SOURCE LINES 262-264 Plots ^^^^^ .. GENERATED FROM PYTHON SOURCE LINES 266-268 Convergence """"""""""" .. GENERATED FROM PYTHON SOURCE LINES 268-280 .. code-block:: default fig = go.Figure() trace = go.Scatter(x=optim_res_ga["elapsed_time"], y=optim_res_ga["log_like"], name="Gradient ascent", mode="lines+markers") fig.add_trace(trace) trace = go.Scatter(x=optim_res_em["elapsed_time"], y=optim_res_em["log_like"], name="EM", mode="lines+markers") fig.add_trace(trace) fig.update_layout(xaxis_title="Elapsed Time (sec)", yaxis_title="Log Likelihood") fig .. raw:: html


.. GENERATED FROM PYTHON SOURCE LINES 281-283 :math:`\sigma_a^2` estimates """""""""""""""""""""""""""" .. GENERATED FROM PYTHON SOURCE LINES 283-294 .. code-block:: default fig = go.Figure() trace = go.Bar(x=["Gradient Ascent", "EM"], y=[optim_res_ga["estimates"]["sigma_a"].item()**2, optim_res_em["estimates"]["sigma_a"]**2]) fig.add_trace(trace) fig.add_hline(y=sigma_a_true**2) fig.update_layout(xaxis_title="Estimation Method", yaxis_title=r'$\sigma_a^2$') fig .. raw:: html


.. GENERATED FROM PYTHON SOURCE LINES 295-297 :math:`\sigma_x^2` estimates """""""""""""""""""""""""""" .. GENERATED FROM PYTHON SOURCE LINES 297-308 .. code-block:: default fig = go.Figure() trace = go.Bar(x=["Gradient Ascent", "EM"], y=[optim_res_ga["estimates"]["pos_x_R_std"].item()**2, optim_res_em["estimates"]["R"][0, 0]]) fig.add_trace(trace) fig.add_hline(y=sqrt_diag_R[0]**2) fig.update_layout(xaxis_title="Estimation Method", yaxis_title=r'$\sigma_x$') fig .. raw:: html


.. GENERATED FROM PYTHON SOURCE LINES 309-311 :math:`m_0[0]` estimates """""""""""""""""""""""" .. GENERATED FROM PYTHON SOURCE LINES 311-322 .. code-block:: default fig = go.Figure() trace = go.Bar(x=["Gradient Ascent", "EM"], y=[optim_res_ga["estimates"]["m0"][0].item(), optim_res_em["estimates"]["m0"][0]]) fig.add_trace(trace) fig.add_hline(y=m0[0]) fig.update_layout(xaxis_title="Estimation Method", yaxis_title=r'$m_0[0]$') fig .. raw:: html


.. GENERATED FROM PYTHON SOURCE LINES 323-325 :math:`V_0[0,0]` estimates """""""""""""""""""""""""" .. GENERATED FROM PYTHON SOURCE LINES 325-336 .. code-block:: default fig = go.Figure() trace = go.Bar(x=["Gradient Ascent", "EM"], y=[optim_res_ga["estimates"]["sqrt_diag_V0"][0].item()**2, optim_res_em["estimates"]["V0"][0, 0]]) fig.add_trace(trace) fig.add_hline(y=sqrt_diag_V0[0]**2) fig.update_layout(xaxis_title="Estimation Method", yaxis_title=r'$V_0[0, 0]$') fig .. raw:: html


.. rst-class:: sphx-glr-timing **Total running time of the script:** ( 1 minutes 52.004 seconds) .. _sphx_glr_download_auto_examples_kinematics_plotEMvsGAcomparisonSimulated.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: binder-badge .. image:: images/binder_badge_logo.svg :target: https://mybinder.org/v2/gh/joacorapela/lds_python/gh-pages?filepath=notebooks/auto_examples/kinematics/plotEMvsGAcomparisonSimulated.ipynb :alt: Launch binder :width: 150 px .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plotEMvsGAcomparisonSimulated.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plotEMvsGAcomparisonSimulated.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_