detrend¶
Package Contents¶
Classes¶
Optimizers class: |
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- class detrend.SingleBayesKeplerTess(input_file)¶
- load_fits_file(self, file_fits, olog=None)¶
- get_transit_epochs(self, data, info, visit_args, planet_args, olog=None)¶
- single_epoch_analysis(self, transit, info, star, visit_args, star_args, planet_args, emcee_args, ultranest_args, epoch_folder, olog=None)¶
- run(self)¶
- class detrend.SingleBayesASCII(input_file)¶
- get_ld_h1h2(self, visit_args)¶
- load_ascii_file(self, visit_args, olog=None)¶
- single_Bayes_ASCII(self, ascii_data, star_args, visit_args, planet_args, emcee_args, epoch_folder, olog=None, n_threads=1)¶
- run(self)¶
- class detrend.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.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.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)¶