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Fitted parameters: | ||
t_0 : 2454656.39908 0.00004 0.00003 | ||
u_0 : 0.00311 0.00014 0.00014 | ||
t_E : 10.78598 0.50061 0.45567 | ||
t_star : 0.05311 0.00010 0.00011 | ||
Fluxes (source and blending): | ||
flux_s_1 : 16.2724 0.7504 0.7533 | ||
flux_b_1 : 19.4651 0.7343 0.7324 | ||
flux_s_2 : 1.5269 0.0686 0.0675 | ||
flux_b_2 : 13.8875 0.0471 0.0446 | ||
flux_s_3 : 15.9354 0.7181 0.6964 | ||
flux_b_3 : 30.6087 4.3688 3.9172 | ||
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Smallest chi2 model: | ||
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Smallest chi2 model: | ||
2454656.3990747104 0.003140471938847057 10.687652809215646 0.05310677368499168 | ||
chi2 = 4488.397319300576 | ||
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Now let's plot the best model | ||
~/MulensModel/source/MulensModel/utils.py:149: UserWarning: Flux to magnitude conversion approached negative flux | ||
UserWarning) | ||
~/MulensModel/source/MulensModel/utils.py:150: RuntimeWarning: invalid value encountered in log10 | ||
mag = zeropoint - 2.5 * np.log10(flux) |
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First fit. This can take some time... | ||
Fitted parameters: | ||
t_0_1: 6100.04856 +0.02384 -0.02442 | ||
u_0_1: 0.20176 +0.00752 -0.00703 | ||
t_0_2: 6140.00048 +0.00054 -0.00053 | ||
u_0_2: 0.01000 +0.00028 -0.00026 | ||
t_E: 24.97848 +0.63846 -0.64421 | ||
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Smallest chi2 model: | ||
6100.043548826305 0.2022324038184834 6140.000506813421 0.010020746352062961 24.915197094232358 | ||
chi2 = 1559.6924283831406 | ||
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Second fit. This can take some time... | ||
Fitted parameters: | ||
t_0_1: 6100.04559 +0.02412 -0.02510 | ||
u_0_1: 0.20177 +0.00737 -0.00713 | ||
t_0_2: 6140.00051 +0.00058 -0.00052 | ||
u_0_2: 0.01001 +0.00028 -0.00027 | ||
t_E: 24.95427 +0.66243 -0.63960 | ||
flux_ratio: 0.04960 +0.00073 -0.00075 | ||
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Smallest chi2 model: | ||
6100.045603563694 0.20091734861294366 6140.000535868968 0.0099839566576509 25.026575661688916 0.04969677432173234 | ||
chi2 = 1559.7269272614674 |
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Fitted parameters: | ||
t_0 : 2456836.16049 0.06449 0.06147 | ||
u_0 : 0.91317 0.08863 0.06308 | ||
t_E : 23.00179 1.08252 1.36160 | ||
pi_E_N : -0.24558 0.02746 0.03641 | ||
pi_E_E : 0.25284 0.01993 0.01458 | ||
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Smallest chi2 model: | ||
2456836.1677156785 0.895675183048813 23.285476727841555 -0.2372979702893409 0.24911302577456898 | ||
4227.374316561218 |