py21cmmc.likelihood.Likelihood1DPowerLightconeUpper#

class py21cmmc.likelihood.Likelihood1DPowerLightconeUpper(datafile='', data=None, name='', *args, **kwargs)[source]#

Likelihood based on Chi^2 comparison of a 21 cm PS model to HERA H1C upper limit data.

Parameters:: datafile (str, optional) – Input data should be in a .npz file, and contain the following fields: * z_bands: the redshift of the observation bands * bandx: the power spectrum upper limits at redshift x * wfbandx: the window function for band x * kwfbandx: the k values [/Mpc] of the window function for band x

Methods

`__init__`([datafile, data, name])
`computeLikelihood`(model)	Compute the likelihood given 1D power spectrum values at the same k-bins as the data.
`compute_power`(box, length, n_psbins[, ...])	Compute power spectrum from coeval box.
`from_builtin_data`([datafile])	Create the class loading in built-in data.
`get_fiducial_model`()	Compute and return a model dictionary at the fiducial set of parameters.
`reduce_data`(ctx)	Get the computed core data in nice form.
`setup`()	Setup the object.
`store`(model, storage)	Store the model into backend storage.

Attributes

`chain`	Reference to the `LikelihoodComputationChain` containing this core.
`core_primary`	The first core that appears in the requirements.
`data_spline`	Splines of data power spectra.
`noise_spline`	Splines of noise power spectra.
`paired_core`	The 21cmEMU core that is paired with this likelihood.
`parameter_names`	Names of the parameters of the full chain.
`redshift`	The redshifts of coeval simulations.
`required_cores`