prior

Module Contents

Classes

uniform_prior	Uniform distribution prior
gaussian_prior	Gaussian / normal distribution prior
const_prior	Constant value prior
prior_collection	Collection of prior objects. Transformation from unit cube to parameter

class prior.uniform_prior(bound_lo, bound_up)

Bases: object

Uniform distribution prior

Parameters:

bound_lofloat

Lower bound on the distribution

bound_upfloat

Upper bound on the distribution

__call__(cube)

__repr__()

Return repr(self).

class prior.gaussian_prior(mean, sigma)

Bases: object

Gaussian / normal distribution prior

Parameters:

meanfloat

Mean of the distribution

sigmafloat

Sigma of the distribution

__call__(cube)

__repr__()

Return repr(self).

class prior.const_prior(value)

Bases: object

Constant value prior

Parameters:

valuefloat

Constant value to return

__call__(cube)

__repr__()

Return repr(self).

class prior.prior_collection(priors_list)

Bases: object

Collection of prior objects. Transformation from unit cube to parameter space takes place with the prior_transform() function. Contains separate prior transform functions for use with different sampling software.

Parameters:

priors_listlist[prior]

List of priors that consitute the full set of parameters being modeled.

prior_transform_multinest(cube, ndim, nparam)

Prior transform function for use with PyMultiNest

prior_transform_ultranest(cube)

Prior transform function for use with Ultreanest

prior_transform_dynesty(u)

Prior transform function for use with Ultreanest