mrpy.extra.likelihoods.SampleLikeWeights

class mrpy.extra.likelihoods.SampleLikeWeights(weights, *args, **kwargs)

Compactified version of MRP_PO_Likelihood useful for simulated haloes.

Effectively, this is the same as MRP_PO_Likelihood, but instead of passing a full array of halo masses, one can pass an array of unique masses, and a weights array which specifies the number of each mass in the sample.

This should be useful for simulation-like data, which has many halos of the same mass.

Parameters:

weights : array_like

Array of the same length as m, giving the number of each mass in the distribution.

Other Parameters:  

args, kwargs :

Other parameters are necessary, to be passed through to MRP_PO_Likelihood.

Methods

__init__(weights, *args, **kwargs)
dndlog10m([log])	Return the MRP in log10 space at `m’.
dndm([log])	Return the MRP at m.
ngtm([log])	The number density greater than mmin.
rho_gtm([log])	The mass-weighted integral of the MRP, in reverse (ie.