Prototypes
double	log_dVC_dVL (double DL)

void	dVC_dVL_init (void)

static double	radial_integrand (double r, void *params)

double	log_radial_integrand (double r, void *params)

double	log_radial_integral (double r1, double r2, double p, double b, int k, int cosmology, int gaussian)

log_radial_integrator *	log_radial_integrator_init (double r1, double r2, int k, int cosmology, double pmax, size_t size, int gaussian)
	Distance integrator for marginalisation. More...

void	log_radial_integrator_free (log_radial_integrator *integrator)
	Free an integrator. More...

double	log_radial_integrator_eval (const log_radial_integrator *integrator, double p, double b, double log_p, double log_b)
	Evaluate the log distance integrator for given SNRs. More...

Macros
#define	omp ignore

Variables
static gsl_spline *	dVC_dVL_interp = NULL

Macro Definition Documentation

◆ omp

#define omp ignore

Definition at line 36 of file distance_integrator.c.

Function Documentation

◆ log_dVC_dVL()

double log_dVC_dVL ( double DL )

Definition at line 56 of file distance_integrator.c.

◆ dVC_dVL_init()

void dVC_dVL_init ( void )

Definition at line 69 of file distance_integrator.c.

◆ radial_integrand()

static double radial_integrand	(	double	r,
		void *	params
	)

static

Definition at line 82 of file distance_integrator.c.

◆ log_radial_integrand()

double log_radial_integrand	(	double	r,
		void *	params
	)

Definition at line 123 of file distance_integrator.c.

◆ log_radial_integral()

double log_radial_integral	(	double	r1,
		double	r2,
		double	p,
		double	b,
		int	k,
		int	cosmology,
		int	gaussian
	)

Definition at line 143 of file distance_integrator.c.

◆ log_radial_integrator_init()

log_radial_integrator * log_radial_integrator_init	(	double	r1,
		double	r2,
		int	k,
		int	cosmology,
		double	pmax,
		size_t	size,
		int	gaussian
	)

Distance integrator for marginalisation.

Assumes a besselI0-type marginalised phase likelihood.

Parameters

r1	Minimum distance (Mpc)
r2	Maximum distance (Mpc)
k	Exponent of distance prior \( p(r) propto r^k \)
cosmology	0: Euclidean, 1: use co-moving volume prior
pmax	The maximum optimal SNR to allow
size	Size of lookup table
gaussian	Use gaussian likelihood instead of phase-marginalised one

Definition at line 267 of file distance_integrator.c.

◆ log_radial_integrator_free()

void log_radial_integrator_free ( log_radial_integrator * integrator )

Free an integrator.

Definition at line 364 of file distance_integrator.c.

◆ log_radial_integrator_eval()

double log_radial_integrator_eval	(	const log_radial_integrator *	integrator,
		double	p,
		double	b,
		double	log_p,
		double	log_b
	)

Evaluate the log distance integrator for given SNRs.

With a template at reference distance (1Mpc), compute the marginal likelihood over distance. Uses the two SNRs \( p=sqrt(<h|h>) \) and \( b=<d|h> \).

Parameters

integrator	a log_radial_integrator
p	The optimal SNR \( p = sqrt(<h\|h>) \)
b	match between template and data \( b = <h\|d> \)
log_p	log(p)
log_b	log(b)

Definition at line 379 of file distance_integrator.c.

Variable Documentation

◆ dVC_dVL_interp

gsl_spline* dVC_dVL_interp = NULL