ccl_lsst_specs.c File Reference

#include "ccl_core.h"
#include "ccl_utils.h"
#include "ccl_placeholder.h"
#include "math.h"
#include "stdio.h"
#include "stdlib.h"
#include "gsl/gsl_integration.h"
#include "gsl/gsl_spline.h"
#include "ccl_background.h"
#include "ccl_constants.h"
#include "ccl_error.h"
#include "ccl_lsst_specs.h"
#include "ccl_params.h"

Data Structures
struct	dNdz_sources_params
struct	pz_params
struct	norm_params

Functions
double	ccl_specs_sigmaz_clustering (double z)
double	ccl_specs_sigmaz_sources (double z)
double	ccl_specs_bias_clustering (ccl_cosmology *cosmo, double a, int *status)
user_pz_info *	ccl_specs_create_photoz_info (void *user_params, double(*user_pz_func)(double, double, void *, int *))
void	ccl_specs_free_photoz_info (user_pz_info *my_photoz_info)
void	ccl_specs_dNdz_tomog (double z, int dNdz_type, double bin_zmin, double bin_zmax, user_pz_info *user_info, double *tomoout, int *status)

Function Documentation

ccl_specs_bias_clustering()

double ccl_specs_bias_clustering	(	ccl_cosmology *	cosmo,
		double	a,
		int *	status
	)

Compute b(a), the bias of the clustering sample of a cosmology at a given scale factor This is input from LSS group.

Parameters

cosmo	Cosmological parameters
a	scale factor, normalized to a=1 today.
status	Status flag. 0 if there are no errors, nonzero otherwise. For specific cases see documentation for ccl_error.

Returns

b, the bias at a in cosmo

ccl_specs_create_photoz_info()

user_pz_info* ccl_specs_create_photoz_info	(	void *	user_params,
		double(*)(double, double, void *, int *)	user_pz_func
	)

This function creates a structure amalgamating the user-input information on the photo-z model, P(z) plus some parameters.

Parameters

user_params	User-defined parameters for the P(z) function
user_pz_func	P(z) function

Returns

a structure with the user-provided P(z) and parameters

ccl_specs_dNdz_tomog()

void ccl_specs_dNdz_tomog	(	double	z,
		int	dNdz_type,
		double	bin_zmin,
		double	bin_zmax,
		user_pz_info *	user_info,
		double *	tomoout,
		int *	status
	)

Return dNdz in a particular tomographic bin, convolved with a photo-z model (defined by the user), and normalized.

Parameters

z	redshift
dNdz_type	the choice of dN/dz from Chang+
bin_zmin	the minimum redshift of the tomorgraphic bin
bin_zmax	the maximum redshift of the tomographic bin
user_info	the user P(z) info struct
tomoout	the output dN/dz
status	Status flag. 0 if there are no errors, nonzero otherwise.

Returns

void

ccl_specs_free_photoz_info()

void ccl_specs_free_photoz_info

(

user_pz_info *

my_photoz_info

)

Free memory holding the structure containing user-input photoz information.

Parameters

my_photoz_info

that holds user-defined P(z) and parameters

Returns

void

ccl_specs_sigmaz_clustering()

double ccl_specs_sigmaz_clustering

(

double

z

)

Return sigma(z), the photo-z dispersion, for the clustering sample This is if you want to assume Gaussian uncertainties.

Parameters

z

redshift

Returns

sigma(z) for the clustering sample

ccl_specs_sigmaz_sources()

double ccl_specs_sigmaz_sources

(

double

z

)

Return sigma(z), the photo-z dispersion, for the lensing sample This is if you want to assume Gaussian uncertainties.

Parameters

z

redshift

Returns

sigma(z) for the lensing sample