src.superphot_plus.samplers.licu_sampler

MCMC sampling using the light-curve package.

Module Contents

Classes

LiCuSampler

Fit light curves using the light-curve package's VillarFit

class LiCuSampler(**licu_kwargs)

Bases: superphot_plus.samplers.sampler.Sampler

Fit light curves using the light-curve package’s VillarFit

Parameters:

**licu_kwargs (dict) – Keyword arguments to pass to the light-curve package’s VillarFit, most notably ‘algorithm’, which can be ‘ceres’, ‘lmsder’, ‘mcmc’, ‘mcmc-ceres’ and ‘mcmc-lmsder’. Default is ‘ceres’. Please also consider setting ‘mcmc_niter’ which is the number of MCMC iterations defaults to 128. Boundaries and initial guesses are set by this code, so you don’t need to set them yourself.

run_single_curve(lightcurve: superphot_plus.lightcurve.Lightcurve, priors: superphot_plus.surveys.fitting_priors.MultibandPriors, **kwargs) → superphot_plus.posterior_samples.PosteriorSamples

Perform model fitting using light-curve on a single light curve.

Parameters:

• lightcurve (Lightcurve object) – The light curve of interest.

• priors (MultibandPriors object) – The priors to use for fitting.

Returns:

samples – Return the MCMC samples or None if the fitting is skipped or encounters an error.

Return type:

PosteriorSamples

abstract run_multi_curve(lightcurves, priors, **kwargs) → List[superphot_plus.posterior_samples.PosteriorSamples]

Not yet implemented.