Class

NumCosmoClusterMassSelection

Description [src]

class NumCosmo.ClusterMassSelection : NumCosmo.ClusterMass
{
  /* No available fields */
}

Cluster mass distribution model based on Selection et al.

Instance methods

nc_cluster_mass_selection_completeness
No description available.

nc_cluster_mass_selection_get_cut

Computes the cut in richness.

nc_cluster_mass_selection_get_enable_rejection

Get if the enable_rejection property is on.

nc_cluster_mass_selection_get_mean

Computes the mean of the richness distribution with the cut correction.

nc_cluster_mass_selection_get_mean_richness

Computes the mean of the richness distribution.

nc_cluster_mass_selection_get_std

Computes the standard deviation of the richness distribution with the cut correction.

nc_cluster_mass_selection_get_std_richness

Computes the standard deviation of the richness distribution.

nc_cluster_mass_selection_ipurity
No description available.

nc_cluster_mass_selection_peek_completeness

Get the spline for the completeness as function of $\ln(M)$ and $z$.

nc_cluster_mass_selection_peek_ipurity

Get the spline for the inverse of purity as function of $\ln(M_obs)$ and $z$.

nc_cluster_mass_selection_set_completeness
No description available.

nc_cluster_mass_selection_set_enable_rejection

Set the enable_rejection property.

nc_cluster_mass_selection_set_ipurity
No description available.

nc_cluster_mass_selection_set_lnM_limits
No description available.

Methods inherited from NcClusterMass (15)
nc_cluster_mass_free

Atomically decrements the reference count of clusterm by one. If the reference count drops to 0, all memory allocated by clusterm is released.

nc_cluster_mass_intp

It computes the clusterm probability distribution of lnM lying in the range $[]$, namely, $$ intp = \int_{\ln M^{obs}{min}}^{\ln M^{obs}{max}} p \, d\ln M^{obs},$$ where $p$ is [nc_cluster_mass_p()].

nc_cluster_mass_intp_bin

Computes the integrated probability over the observed mass bin.

nc_cluster_mass_n_limits

Computes the mass limits for the cluster abundance calculation. The function which will call this one is responsible to allocate memory for lnM_lower and lnM_upper.

nc_cluster_mass_p

Computes the probability distribution $P(\ln M_{\mathrm{obs}}|\ln M, z)$.

nc_cluster_mass_p_bin_limits

Computes the integration limits for the true mass given the observed mass bin boundaries.

nc_cluster_mass_p_limits

Computes the integration limits for the true mass given the observed mass and its parameters.

nc_cluster_mass_p_vec_z_lnMobs

This method computes the probability distribution of lnM for each redshift in z given the true mass lnM and the observed mass proxies lnM_obs and their parameters lnM_obs_params.

nc_cluster_mass_plcl_Msz_Ml_p_ndetone

This function computes the i-th term of the posterior given flat priors for the selection function and mass function. See function nc_cluster_pseudo_counts_posterior_ndetone().

nc_cluster_mass_plcl_pdf

Compute the joint probability density used internally by the PL-CL mass model. Integrals in $M_{sz}$ and $M_l$ are performed in the dimensionless quantities $\ln (M_{sz} / M_0)$ and $\ln (M_l / M_0)$, respectively. The Gaussian distributions between $M_{Pl}$ and $M_{CL}$ are written in terms of the dimensionless quantities $M_{Pl}/M_0$, $M_{CL}/M_0$, $\sigma_{Pl}/M_0$ and $\sigma_{CL}/M_0$.

nc_cluster_mass_plcl_pdf_only_lognormal
No description available.

nc_cluster_mass_ref

Increases the reference count of clusterm by one.

nc_cluster_mass_resample

Generates a random sample of the observed mass proxies given the true mass and redshift.

nc_cluster_mass_resample_vec

Generates a random sample of the observed mass proxies given the true mass and redshift. This is a convenience wrapper around nc_cluster_mass_resample() that uses NcmVector for proper Python bindings support.

nc_cluster_mass_volume

Computes the effective volume in the observable mass space.

Methods inherited from NcmModel (89)

Please see NcmModel for a full list of methods.

Methods inherited from GObject (43)

Please see GObject for a full list of methods.

Properties

NumCosmo.ClusterMassSelection:M0

Pivot (reference) mass used to make observed and model masses dimensionless. The property default and allowed range are declared in the property registration below (see g_param_spec_double).

NumCosmo.ClusterMassSelection:completeness
No description available.

NumCosmo.ClusterMassSelection:cut
No description available.

NumCosmo.ClusterMassSelection:cut-fit
No description available.

NumCosmo.ClusterMassSelection:ipurity
No description available.

NumCosmo.ClusterMassSelection:lnM-limits
No description available.

NumCosmo.ClusterMassSelection:mup0
No description available.

NumCosmo.ClusterMassSelection:mup0-fit
No description available.

NumCosmo.ClusterMassSelection:mup1
No description available.

NumCosmo.ClusterMassSelection:mup1-fit
No description available.

NumCosmo.ClusterMassSelection:mup2
No description available.

NumCosmo.ClusterMassSelection:mup2-fit
No description available.

NumCosmo.ClusterMassSelection:sigmap0
No description available.

NumCosmo.ClusterMassSelection:sigmap0-fit
No description available.

NumCosmo.ClusterMassSelection:sigmap1
No description available.

NumCosmo.ClusterMassSelection:sigmap1-fit
No description available.

NumCosmo.ClusterMassSelection:sigmap2
No description available.

NumCosmo.ClusterMassSelection:sigmap2-fit
No description available.

NumCosmo.ClusterMassSelection:z0
No description available.

Properties inherited from NcmModel (9)
NumCosmoMath.Model:implementation
No description available.
NumCosmoMath.Model:name
No description available.
NumCosmoMath.Model:nick
No description available.
NumCosmoMath.Model:params-types
No description available.
NumCosmoMath.Model:reparam
No description available.
NumCosmoMath.Model:scalar-params-len
No description available.
NumCosmoMath.Model:sparam-array
No description available.
NumCosmoMath.Model:submodel-array
No description available.
NumCosmoMath.Model:vector-params-len
No description available.

Signals

Signals inherited from GObject (1)
GObject::notify

The notify signal is emitted on an object when one of its properties has its value set through g_object_set_property(), g_object_set(), et al.

Class structure

struct NumCosmoClusterMassSelectionClass {
  /* no available fields */
}

No description available.