firecrown.connector.mapping.MappingCosmoSIS

class firecrown.connector.mapping.MappingCosmoSIS(*, require_nonlinear_pk=False)

Bases: Mapping

Mapping support for CosmoSIS.

Parameters:

require_nonlinear_pk (bool) –

Public Methods:

get_params_names()	Return the names of the expected cosmological parameters for this mapping.
transform_k_h_to_k(k_h)	Transform the given k_h (k over h) to k.
transform_p_k_h3_to_p_k(p_k_h3)	Transform the given \(p_k h^3 \to p_k\).
transform_h_to_h_over_h0(h)	Transform distances h to \(h/h_0\).
set_params_from_cosmosis(cosmosis_params)	Return a PyCCLCosmologyConstants object.
calculate_ccl_args(sample)	Calculate the arguments necessary for CCL for this sample.

Inherited from Mapping

__init__(*[, require_nonlinear_pk])	param require_nonlinear_pk:
get_params_names()	Return the names of the expected cosmological parameters for this mapping.
transform_k_h_to_k(k_h)	Transform the given k_h (k over h) to k.
transform_p_k_h3_to_p_k(p_k_h3)	Transform the given \(p_k h^3 \to p_k\).
transform_h_to_h_over_h0(h)	Transform distances h to \(h/h_0\).
set_params(*, Omega_c, Omega_b, h[, A_s, sigma8])	Sets the cosmological constants suitable a pyccl.core.CosmologyCalculator.
redshift_to_scale_factor(z)	Converts redshift to scale factor.
redshift_to_scale_factor_p_k(p_k)	Converts power spectrum from redshift to scale factor.
asdict()	Return a dictionary containing the cosmological constants.
get_H0()	Return the value of H0.

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calculate_ccl_args(sample)

Calculate the arguments necessary for CCL for this sample.

Parameters:

sample (<module ‘cosmosis.datablock’ from ‘/home/docs/checkouts/readthedocs.org/user_builds/firecrown/conda/latest/lib/python3.12/site-packages/cosmosis/datablock/__init__.py’>) –

get_params_names()

Return the names of the expected cosmological parameters for this mapping.

set_params_from_cosmosis(cosmosis_params)

Return a PyCCLCosmologyConstants object.

This object has parameters equivalent to those read from CosmoSIS when using CAMB.

Parameters:

cosmosis_params (NamedParameters) –

transform_h_to_h_over_h0(h)

Transform distances h to \(h/h_0\).

transform_k_h_to_k(k_h)

Transform the given k_h (k over h) to k.

transform_p_k_h3_to_p_k(p_k_h3)

Transform the given \(p_k h^3 \to p_k\).