py21cmmc.likelihood.LikelihoodNeutralFraction

class py21cmmc.likelihood.LikelihoodNeutralFraction(redshift=5.9, xHI=0.06, xHI_sigma=0.05)

A likelihood based on the measured neutral fraction at a range of redshifts.

This likelihood is vectorized i.e., it accepts an array of astro_params.

The log-likelihood statistic is a simple chi^2 if the model has xHI > threshold, and 0 otherwise.

Methods

__init__([redshift, xHI, xHI_sigma])	Neutral fraction likelihood/prior.
computeLikelihood(model)	Compute the likelihood.
get_fiducial_model()	Compute and return a model dictionary at the fiducial set of parameters.
lnprob(model, data, sigma)	Compute the log prob given a model, data and error.
reduce_data(ctx)	Return a dictionary of model quantities from the context.
setup()	Perform post-init setup.

Attributes

chain	Reference to the LikelihoodComputationChain containing this core.
cmb_modules	All CMB core modules that are loaded.
coeval_modules	All coeval core modules that are loaded.
core_primary	The first core that appears in the requirements.
emu_modules	All emulator core modules that are loaded.
lightcone_modules	All lightcone core modules that are loaded.
parameter_names	Names of the parameters of the full chain.
required_cores
threshold