src.superphot_plus.surveys.fitting_priors

Data class for per-band curve priors

Module Contents

Classes

PriorFields	Holder for per-parameter field characterization
CurvePriors	Set of priors for fitting a single curve.
MultibandPriors	Set of per-band curve priors

class PriorFields

Holder for per-parameter field characterization

clip_a: float = 0

clip_b: float = 0

mean: float = 0

std: float = 0

to_numpy()

Fields as a length-4 numpy array.

class CurvePriors

Set of priors for fitting a single curve.

amp: PriorFields

beta: PriorFields

gamma: PriorFields

t_0: PriorFields

tau_rise: PriorFields

tau_fall: PriorFields

extra_sigma: PriorFields

__post_init__()

Additional logic to coerce string dictionaries into the appropriate data type.

to_numpy()

Fields as a 7x4 numpy array

class MultibandPriors

Set of per-band curve priors

property ordered_bands

Returns included bands in band_order.

property ref_band_index

Returns index of reference band.

property aux_bands

Returns auxilliary (non-reference) bands in band_order.

bands: Dict[str, CurvePriors]

Per-band curve priors.

band_order: str = 'ugrizy'

Ordering of bands.

reference_band: str = 'r'

Reference band.

__post_init__()

Additional logic to coerce string dictionaries into the appropriate data type.

filter_by_band(band_list, in_place=True)

Return MultibandPriors object with only some bands.

to_numpy()

Fields as a (7*bands)x4 numpy array