py21cmmc.likelihood

Module containing 21CMMC likelihoods.

Classes

Likelihood1DPowerCoeval([n_psbins, min_k, ...])	A Gaussian likelihood for the 1D power spectrum of a coeval cube.
Likelihood1DPowerLightcone(*args[, ...])	A likelihood very similar to Likelihood1DPowerCoeval, except for a lightcone.
Likelihood1DPowerLightconeUpper([datafile, ...])	Likelihood based on Chi^2 comparison of a 21 cm PS model to HERA H1C upper limit data.
LikelihoodBase()	Base class for Likelihoods in 21CMMC.
LikelihoodBaseFile([datafile, noisefile, ...])	Base class for likelihoods whose data is read from a file.
LikelihoodEDGES([use_width])	A likelihood based on chi^2 comparison to Global Signal of EDGES timing and fwhm.
LikelihoodForest([name, observation])	A likelihood based on chi^2 comparison to measured CDF of Lyman-alpha forest effective optical depth.
LikelihoodGlobalSignal([datafile, ...])	Chi^2 likelihood of Global Signal, where global signal is in mK as a function of MHz.
LikelihoodGreig(*args, **kwargs)	Likelihood using QSOs.
LikelihoodLuminosityFunction(*args[, name, ...])	Likelihood based on Chi^2 comparison to luminosity function data.
LikelihoodNeutralFraction([redshift, xHI, ...])	A likelihood based on the measured neutral fraction at a range of redshifts.
LikelihoodNeutralFractionTwoSided([...])	A likelihood based on the measured neutral fraction at a range of redshifts.
LikelihoodPlanck(*args[, tau_mean, ...])	A likelihood which utilises Planck optical depth data.
LikelihoodPlanckPowerSpectra(*args[, ...])	A likelihood template to use Planck power spectrum.