Maximum A Posteriori Fitting

radvel.fitting.maxlike_fitting(post: Posterior, verbose: bool = True, method: str = 'Powell') → Posterior

Maximum A Posteriori Fitting

Perform a maximum a posteriori fit.

Parameters:

• post (radvel.Posterior) – Posterior object with initial guesses

• verbose (bool [optional]) – Print messages and fitted values?

• method (string [optional]) – Minimization method. See documentation for scipy.optimize.minimize for available options.

Returns:

Posterior object with parameters updated to their maximum a posteriori values

Return type:

radvel.Posterior

radvel.fitting.model_comp(post: Posterior, params: list[str] = [], mc_list: list[OrderedDict] = [], verbose: bool = False) → list[OrderedDict]

Model Comparison

Vary the presence of additional parameters and check how the improve the model fit Save results as list of dictionaries of posterior statistics.

Parameters:

• post (radvel.Posterior) – posterior object for final best-fit solution with all planets

• params (list of strings) – (optional) type of comparison to make via bic/aic

• mc_list (list of OrderedDicts) – (optional) list of dictionaries from different model comparisons. Each value in the dictionary is a tuple with a statistic as the first element and a description as the second element.

• verbose (bool) – (optional) print out statistics

Returns:

List of dictionaries with fit statistics. Each value in the dictionary is a tuple with the statistic value as the first element and a description of that statistic in the second element.

Return type:

list of OrderedDicts