src.superphot_plus.posterior_samples

Container for posterior samples from lightcurve fitting

Module Contents

Classes

PosteriorSamples

Container for posterior samples from lightcurve fitting
class PosteriorSamples(samples, name=None, sampling_method=None, sn_class=None, sample_mean=None, max_flux=None, redshift=None, **kwargs)[source]

Container for posterior samples from lightcurve fitting

sample_mean()[source]

Convenience method to get some summary statistics about the posterior samples.

Returns:

sample_mean – Mean of samples along the 0 axis.

Return type:

np.array

save_to_file(output_dir)[source]

Save the posterior samples to a directory, using the lightcurve’s name.

Parameters:

output_dir (str, optional) – Output directory path. Defaults to FITS_DIR.

classmethod from_file(input_dir, name, sampling_method=None, **kwargs)[source]

Create a PosteriorSamples object from a file.

Parameters:

  • input_dir (str, optional) – Input directory path. Defaults to FITS_DIR.

  • name (str) – Lightcurve name.

  • sampling_method (str, optional) – Variety of sampler. Can be included in the sample file name.

  • sn_class (int, optional) – the classification of the supernova, if known.