firecrown.models.cluster.kernel

The cluster kernel module.

This module holds the classes that define the kernels that can be included in the cluster abundance integrand.

Attributes

`REDMAPPER_DEFAULT_AC_NC`
`REDMAPPER_DEFAULT_BC_NC`
`REDMAPPER_DEFAULT_AC_MC`
`REDMAPPER_DEFAULT_BC_MC`
`REDMAPPER_DEFAULT_AP_NC`
`REDMAPPER_DEFAULT_BP_NC`
`REDMAPPER_DEFAULT_AP_RC`
`REDMAPPER_DEFAULT_BP_RC`

Classes

`KernelType`	The kernels that can be included in the cluster abundance integrand.
`Completeness`	The completeness kernel for the numcosmo simulated survey.
`Purity`	The purity kernel for the numcosmo simulated survey.
`TrueMass`	The true mass kernel.
`SpectroscopicRedshift`	The spec-z kernel.

Module Contents

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_AC_NC = 0.38

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_BC_NC = 1.2634

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_AC_MC = 13.31

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_BC_MC = 0.2025

class firecrown.models.cluster.kernel.KernelType(*args, **kwds)[source]

Bases: enum.Enum

Inheritance diagram of firecrown.models.cluster.kernel.KernelType

The kernels that can be included in the cluster abundance integrand.

MASS = 1

Z = 2

MASS_PROXY = 3

Z_PROXY = 4

COMPLETENESS = 5

PURITY = 6

class firecrown.models.cluster.kernel.Completeness[source]

Bases: firecrown.updatable.Updatable

Inheritance diagram of firecrown.models.cluster.kernel.Completeness

The completeness kernel for the numcosmo simulated survey.

This kernel will affect the integrand by accounting for the incompleteness of a cluster selection.

ac_nc

bc_nc

ac_mc

bc_mc

distribution(log_mass, z)[source]

Evaluates and returns the completeness contribution to the integrand.

Parameters:

log_mass (numpy.typing.NDArray[numpy.float64])
z (numpy.typing.NDArray[numpy.float64])

Return type:

numpy.typing.NDArray[numpy.float64]

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_AP_NC = 3.9193

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_BP_NC = -0.3323

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_AP_RC = 1.1839

firecrown.models.cluster.kernel.REDMAPPER_DEFAULT_BP_RC = -0.4077

class firecrown.models.cluster.kernel.Purity[source]

Bases: firecrown.updatable.Updatable

Inheritance diagram of firecrown.models.cluster.kernel.Purity

The purity kernel for the numcosmo simulated survey.

This kernel will affect the integrand by accounting for the purity of a cluster selection.

ap_nc

bp_nc

ap_rc

bp_rc

distribution(z, mass_proxy, mass_proxy_limits=None)[source]

Evaluates and returns the purity contribution to the integrand.

Parameters:

z (numpy.typing.NDArray[numpy.float64])
mass_proxy (numpy.typing.NDArray[numpy.float64])
mass_proxy_limits (Optional[tuple[float, float]])

Return type:

numpy.typing.NDArray[numpy.float64]

class firecrown.models.cluster.kernel.TrueMass[source]

The true mass kernel.

Assuming we measure the true mass, this will always be 1.

distribution()[source]

Evaluates and returns the mass distribution contribution to the integrand.

We have set this to 1.0 (i.e. it does not affect the mass distribution)

Return type:: numpy.typing.NDArray[numpy.float64]

class firecrown.models.cluster.kernel.SpectroscopicRedshift[source]

The spec-z kernel.

Assuming the spectroscopic redshift has no uncertainties, this is akin to multiplying by 1.

distribution()[source]

Evaluates and returns the z distribution contribution to the integrand.

We have set this to 1.0 (i.e. it does not affect the redshift distribution)

Return type:: numpy.typing.NDArray[numpy.float64]