sesamme.mcmc

Functions

log_likelihood(y, yerr, y_model, mask)	Evaluate the likelihood function by comparing the data and chosen model at every wavelength bin.
log_posterior(theta, x, y, yerr, model_cube, ...)	Calculates the (log of the) posterior probability as log(Ppos) = log(Pprior) + log(likelihood).
log_prior(theta)	Calculate a flat prior probability within the bounds prescribed below.
run_sesamme(filename, runname, x, y, yerr, ...)	Initiate an MCMC procedure and write the results to a file/extension name.
set_chain_size(m)	Updates the number of steps (chain length) of the MCMC run.
set_initial_positions(centers)	Updates the initial positions of the walker ensemble.
set_prior_bounds(prior_dict, ...)	Set boundaries on the priors for an MCMC run.
set_walker_size(m)	Updates the size of the walker ensemble.