Class
NumCosmoClusterMassPlCL
Description [src]
class NumCosmo.ClusterMassPlCL : NumCosmo.ClusterMass
{
/* No available fields */
}Planck-CLASH Cluster Mass Distribution.
Planck-CLASH Cluster Mass Distribution (SZ - Lensing). Do not use this object to perform cluster abundance analyses. For now, it is suitable just for cluster pseudo counts.
Functions
nc_cluster_mass_plcl_gsl_J_new_variables
Fill the Jacobian matrix j with the analytic partial derivatives of the
components used by the optimizer. The function writes into the provided
matrix and does not return a value.
nc_cluster_mass_plcl_gsl_f
The $\chi^2$ is minimized with respect to the parameters $\ln\left(M_{SZ}/M_0\right)$ and
$\ln\left(M_{L}/M_0\right)$, therefore p = 2 (parameters are the two
transformed mass variables w1 and w2). This function computes the
components of the objective (chi^2-like) vector used by the minimizer.
nc_cluster_mass_plcl_gsl_f_new_variables
Populate hx with the residuals / components used by the solver. This
routine does not return a value; results are communicated through hx.
nc_cluster_mass_plcl_peak_new_variables
Compute search bounds for the transformed variables (w1, w2) used when
finding the integrand peak. When N == 0 the function returns the exact
peak (lb == ub). For N > 0 the bounds are widened by N times the observational uncertainties.
Instance methods
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
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.
Properties
NumCosmo.ClusterMassPlCL:Al
Lensing observable power-law slope in the lensing—mass scaling relation. Parameter bounds and default value are registered below.
NumCosmo.ClusterMassPlCL:Asz
SZ observable power-law slope in the SZ—mass scaling relation. Parameter bounds and default value are provided when the parameter is registered via ncm_model_class_set_sparam (see call below).
NumCosmo.ClusterMassPlCL:Bl
Lensing observable intercept parameter in the lensing—mass scaling relation. Bounds and default are provided in the registration call below.
NumCosmo.ClusterMassPlCL:Bsz
SZ observable intercept (or additive) parameter in the SZ—mass scaling relation. Parameter bounds and default value are provided when registered via ncm_model_class_set_sparam (see call below).
NumCosmo.ClusterMassPlCL:M0
Reference (pivot) mass used to render observed and model masses dimensionless (units: h^{-1} M_sun). The property default and allowed range are registered in the property declaration below (see g_param_spec_double). Change there if different pivot choices are required.
Properties inherited from NcmModel (9)
NumCosmoMath.Model:implementation
NumCosmoMath.Model:name
NumCosmoMath.Model:nick
NumCosmoMath.Model:params-types
NumCosmoMath.Model:reparam
NumCosmoMath.Model:scalar-params-len
NumCosmoMath.Model:sparam-array
NumCosmoMath.Model:submodel-array
NumCosmoMath.Model:vector-params-len
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.