:py:mod:`detrend`
=================

.. py:module:: detrend


Submodules
----------
.. toctree::
   :titlesonly:
   :maxdepth: 1

   detrend/index.rst
   optimizers/index.rst
   single_check/index.rst


Package Contents
----------------

Classes
~~~~~~~

.. autoapisummary::

   detrend.SingleBayes
   detrend.MultivisitAnalysis
   detrend.SingleBayesKeplerTess
   detrend.SingleBayesASCII
   detrend.Optimizers
   detrend.OptimizersKeplerTESS
   detrend.OptimizersMultivisit
   detrend.SingleCheck
   detrend.CheckEphemerids




.. py:class:: SingleBayes(input_file)

   .. py:method:: run(self)



.. py:class:: MultivisitAnalysis(input_file)

   .. py:method:: run(self)



.. py:class:: SingleBayesKeplerTess(input_file)

   .. py:method:: load_fits_file(self, file_fits, olog=None)


   .. py:method:: get_transit_epochs(self, data, info, visit_args, planet_args, olog=None)


   .. py:method:: single_epoch_analysis(self, transit, info, star, visit_args, star_args, planet_args, emcee_args, ultranest_args, epoch_folder, olog=None)


   .. py:method:: run(self)



.. py:class:: SingleBayesASCII(input_file)

   .. py:method:: get_ld_h1h2(self, visit_args)


   .. py:method:: load_ascii_file(self, visit_args, olog=None)


   .. py:method:: single_Bayes_ASCII(self, ascii_data, star_args, visit_args, planet_args, emcee_args, epoch_folder, olog=None, n_threads=1)


   .. py:method:: run(self)



.. py:class:: 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.

   .. py:method:: emcee(self, inpars=None, dataset=None, olog=None, params_lm_loop=None, star=None)


   .. py:method:: ultranest(self, inpars=None, dataset=None, olog=None, params_lm_loop=None, star=None)



.. py:class:: OptimizersKeplerTESS

   .. py:method:: 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)


   .. py:method:: 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)



.. py:class:: OptimizersMultivisit

   .. py:method:: 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)


   .. py:method:: 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)



.. py:class:: SingleCheck(input_file)

   .. py:method:: run(self)



.. py:class:: CheckEphemerids(input_file)

   .. py:method:: plot_lightcurve(self)