jacscanomaly.CPPPSPLFitter

class jacscanomaly.CPPPSPLFitter(maxiter=1000, damping_parameter=1e-06, tol=0.001, u0_min=0.01, min_t0_support_points=3, t0_support_tE_coeff=3.0)

Experimental C++ PSPL fitter.

Nonlinear parameters are optimized with a small finite-difference Levenberg-Marquardt implementation in the compiled extension. The linear flux parameters are solved analytically at each evaluation.

Parameters:

• maxiter (int)

• damping_parameter (float)

• tol (float)

• u0_min (float)

• min_t0_support_points (int)

• t0_support_tE_coeff (float)

__init__(maxiter=1000, damping_parameter=1e-06, tol=0.001, u0_min=0.01, min_t0_support_points=3, t0_support_tE_coeff=3.0)

Parameters:

• maxiter (int)

• damping_parameter (float)

• tol (float)

• u0_min (float)

• min_t0_support_points (int)

• t0_support_tE_coeff (float)

Return type:

None

Methods

__init__([maxiter, damping_parameter, tol, ...])
fit(time, flux, ferr, p0)
plot_lc(**kwargs)
plot_residual(**kwargs)

Attributes

damping_parameter
maxiter
min_t0_support_points
t0_support_tE_coeff
tol
u0_min