sherlockpipe.bayesian_fit.fitter.DistributionParams

class sherlockpipe.bayesian_fit.fitter.DistributionParams(yerr: float = -7.0, yerr_lower_err: float = -15.0, yerr_upper_err: float = 0.0, lnsigma: float = 0.0, lnsigma_lower_err: float = -30.0, lnsigma_upper_err: float = 30.0, lnrho: float = 0.0, lnrho_lower_err: float = -30.0, lnrho_upper_err: float = 30.0)

Bases: object

Container for noise distribution parameters used by the GP detrend model in the Bayesian fit.

These values are estimated from out-of-transit data and control the flux error scale, GP amplitude (lnsigma), and GP timescale (lnrho).

__init__(yerr: float = -7.0, yerr_lower_err: float = -15.0, yerr_upper_err: float = 0.0, lnsigma: float = 0.0, lnsigma_lower_err: float = -30.0, lnsigma_upper_err: float = 30.0, lnrho: float = 0.0, lnrho_lower_err: float = -30.0, lnrho_upper_err: float = 30.0) → None

Methods

__init__([yerr, yerr_lower_err, ...])

Attributes

lnrho
lnrho_lower_err
lnrho_upper_err
lnsigma
lnsigma_lower_err
lnsigma_upper_err
yerr
yerr_lower_err
yerr_upper_err