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| void | nc_cluster_mass_plcl_gsl_f () |
| void | nc_cluster_mass_plcl_gsl_f_new_variables () |
| void | nc_cluster_mass_plcl_gsl_J_new_variables () |
| void | nc_cluster_mass_plcl_peak_new_variables () |
| gdouble | nc_cluster_mass_plcl_pdf_only_lognormal () |
| gdouble | nc_cluster_mass_plcl_pdf () |
| gdouble | nc_cluster_mass_plcl_Msz_Ml_p_ndetone () |
| double | Al | Read / Write |
| gboolean | Al-fit | Read / Write |
| double | Asz | Read / Write |
| gboolean | Asz-fit | Read / Write |
| double | Bl | Read / Write |
| gboolean | Bl-fit | Read / Write |
| double | Bsz | Read / Write |
| gboolean | Bsz-fit | Read / Write |
| double | M0 | Read / Write / Construct Only |
| double | cor | Read / Write |
| gboolean | cor-fit | Read / Write |
| double | sigma-l | Read / Write |
| gboolean | sigma-l-fit | Read / Write |
| double | sigma-sz | Read / Write |
| gboolean | sigma-sz-fit | Read / Write |
| enum | NcClusterMassPlCLSParams |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_A_SZ |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_B_SZ |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_SD_SZ |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_A_L |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_B_L |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_SD_L |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_COR |
| #define | NC_CLUSTER_MASS_PLCL_DEFAULT_PARAMS_ABSTOL |
| #define | NC_CLUSTER_MASS_PLCL_MPL |
| #define | NC_CLUSTER_MASS_PLCL_SD_PL |
| #define | NC_CLUSTER_MASS_PLCL_MCL |
| #define | NC_CLUSTER_MASS_PLCL_SD_CL |
GEnum ╰── NcClusterMassPlCLSParams GObject ╰── NcmModel ╰── NcClusterMass ╰── NcClusterMassPlCL
FIXME 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.
void nc_cluster_mass_plcl_gsl_f (const gdouble *p,gdouble *hx,gint n,NcClusterMassPlCL *mszl,gdouble lnM,const gdouble *Mobs,const gdouble *Mobs_params);
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. FIXME
void nc_cluster_mass_plcl_gsl_f_new_variables (const gsl_vector *p,gsl_vector *hx,NcClusterMassPlCL *mszl,gdouble lnM_M0,const gdouble *Mobs,const gdouble *Mobs_params);
FIXME
[skip]
void nc_cluster_mass_plcl_gsl_J_new_variables (const gsl_vector *p,gsl_matrix *j,NcClusterMassPlCL *mszl,gdouble lnM_M0,const gdouble *Mobs,const gdouble *Mobs_params);
FIXME
[skip]
void nc_cluster_mass_plcl_peak_new_variables (gdouble N,gdouble *lb,gdouble *ub,NcClusterMassPlCL *mszl,gdouble lnM,const gdouble *Mobs,const gdouble *Mobs_params);
FIXME
gdouble nc_cluster_mass_plcl_pdf_only_lognormal (NcClusterMass *clusterm,gdouble lnM,gdouble lnMsz_M0,gdouble lnMl_M0);
gdouble nc_cluster_mass_plcl_pdf (NcClusterMass *clusterm,gdouble lnM_M0,gdouble w1,gdouble w2,const gdouble *Mobs,const gdouble *Mobs_params);
FIXME Integrals in $M_{sz}$ and $M_l$ 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 $\sigma_{CL}/M_0$.
This distribution is "partially" normalized. The constant normalization factor is included
only in nc_cluster_pseudo_counts_posterior_numerator_plcl().
gdouble nc_cluster_mass_plcl_Msz_Ml_p_ndetone (NcClusterMass *clusterm,gdouble lnMcut,const gdouble z,const gdouble Mpl,const gdouble Mcl,const gdouble sigma_pl,const gdouble sigma_cl);
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().
FIXME
“Al” property “Al” double
Lensing signal-mass scaling parameter. FIXME Set correct values (limits)
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: 0.9
“Al-fit” property “Al-fit” gboolean
\alpha_{L}:fit.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: FALSE
“Asz” property “Asz” double
SZ signal-mass scaling parameter. FIXME Set correct values (limits)
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: 1
“Asz-fit” property “Asz-fit” gboolean
\alpha_{SZ}:fit.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: FALSE
“Bl” property “Bl” double
Lensing signal-mass scaling parameter. FIXME Set correct values (limits)
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: 0
“Bl-fit” property “Bl-fit” gboolean
b_{L}:fit.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: FALSE
“Bsz” property “Bsz” double
SZ signal-mass scaling parameter. FIXME Set correct values (limits)
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: 0.2
“Bsz-fit” property “Bsz-fit” gboolean
b_{SZ}:fit.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: FALSE
“M0” property “M0” double
Reference mass (in h^(-1) * M_sun unit) in the SZ signal-mass scaling relation. FIXME Set correct values (limits)
Owner: NcClusterMassPlCL
Flags: Read / Write / Construct Only
Allowed values: >= 1e+13
Default value: 5.7e+14
“cor” property “cor” double
SZ-Lensing signal-mass correlation, $0.0 \leq \rho \leq 1.0$.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: 0.5
“cor-fit” property “cor-fit” gboolean
\rho:fit.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: FALSE
“sigma-l” property “sigma-l” double
\sigma_{L}.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: 0.2
“sigma-l-fit” property “sigma-l-fit” gboolean
\sigma_{L}:fit.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: FALSE
“sigma-sz” property “sigma-sz” double
\sigma_{SZ}.
Owner: NcClusterMassPlCL
Flags: Read / Write
Default value: 0.3