detrend.optimizers

Module Contents

Classes

Optimizers	Optimizers class:
OptimizersKeplerTESS
OptimizersMultivisit

Attributes

comm
size
rank
printlog
fig_ext

detrend.optimizers.comm

detrend.optimizers.size

detrend.optimizers.rank

detrend.optimizers.printlog

detrend.optimizers.fig_ext = ['png', 'pdf']

class detrend.optimizers.Optimizers

Optimizers class: it contains al list of all the possible optimizers used for Bayesian analysis.

The Emcee function is used for MCMC analysis and t prints the results in the most appropriate format for emcee.

The Ultranest function uses Nested sampling and returns also the characteristic plots for this alsorithm.

emcee(self, inpars=None, dataset=None, olog=None, params_lm_loop=None, star=None)

ultranest(self, inpars=None, dataset=None, olog=None, params_lm_loop=None, star=None)

class detrend.optimizers.OptimizersKeplerTESS

emcee(self, olog=None, dataset=None, epoch_folder=None, params_lm_loop=None, star=None, epoch_name=None, stats_lm=None, visit_args=None, star_args=None, emcee_args=None)

ultranest(self, olog=None, dataset=None, epoch_folder=None, params_lm_loop=None, star=None, epoch_name=None, stats_lm=None, visit_args=None, star_args=None, ultranest_args=None)

class detrend.optimizers.OptimizersMultivisit

emcee(self, inpars=None, M=None, olog=None, new_params=None, T_0=None, T_ref=None, P_ref=None, log_omega0=None, log_S0=None, extra_priors=None)

ultranest(self, inpars=None, M=None, olog=None, new_params=None, T_0=None, T_ref=None, P_ref=None, log_omega0=None, log_S0=None, extra_priors=None)