LALInferenceLikelihood.c File Reference

Prototypes
static REAL8	LALInferenceFusedFreqDomainLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model, LALInferenceLikelihoodFlags marginalisationflags)
static double	integrate_interpolated_log (double h, REAL8 *log_ys, size_t n, double *imean, size_t *imax)
	Integrate interpolated log, returns the mean index in *imax if it is not a NULL pointer. More...
static int	get_calib_spline (LALInferenceVariables *vars, const char *ifoname, REAL8Vector **logfreqs, REAL8Vector **amps, REAL8Vector **phases)
void	LALInferenceInitLikelihood (LALInferenceRunState *runState)
	Initialisation function which reads runState->commaneLine and sets up the likelihood function accordingly. More...
LALInferenceVariables	LALInferenceGetInstrinsicParams (LALInferenceVariables *currentParams)
	Get the intrinsic parameters from currentParams. More...
static int	checkItemAndAdd (void *item, void **array)
REAL8	LALInferenceZeroLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData UNUSED *data, LALInferenceModel UNUSED *model)
	For testing purposes (for instance sampling the prior), likelihood that returns 0.0 = log(1) every time. More...
REAL8	LALInferenceUndecomposedFreqDomainLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model)
	(log-) likelihood function. More...
double	LALInferenceMarginalDistanceLogLikelihood (double dist_min, double dist_max, double OptimalSNR, double d_inner_h, int cosmology, int margphi)
	Compute delta-log-likelihood for given distance min, max and OptimalSNR and d_inner_h when evaluated at 1Mpc cosmology: 0 = Euclidean distance prior , 1 = uniform in comoving volume margphi: 0 = use gaussian likelihood, 1 = phase-marginalised bessel likelihood. More...
REAL8	LALInferenceFreqDomainStudentTLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model)
	Student-t (log-) likelihood function as described in Roever/Meyer/Christensen (2011): "Modelling coloured residual noise in gravitational-wave signal processing. More...
REAL8	LALInferenceComputeFrequencyDomainOverlap (LALInferenceIFOData *dataPtr, COMPLEX16Vector *freqData1, COMPLEX16Vector *freqData2)
	Computes the <x|y> overlap in the Fourier domain. More...
COMPLEX16	LALInferenceComputeFrequencyDomainComplexOverlap (LALInferenceIFOData *dataPtr, COMPLEX16Vector *freqData1, COMPLEX16Vector *freqData2)
	Computes the complex <x|y> overlap. More...
REAL8	LALInferenceNullLogLikelihood (LALInferenceIFOData *data)
	Identical to LALInferenceFreqDomainNullLogLikelihood, but returns the likelihood of a null template. More...
REAL8	LALInferenceMarginalisedPhaseLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model)
REAL8	LALInferenceMarginalisedTimeLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model)
	Returns the log-likelihood marginalised over the time dimension from the prior min to the prior max. More...
REAL8	LALInferenceMarginalisedTimePhaseLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model)
REAL8	LALInferenceFastSineGaussianLogLikelihood (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model)
	fast SineGaussian likelihood for LIB More...
void	LALInferenceNetworkSNR (LALInferenceVariables *currentParams, LALInferenceIFOData *data, LALInferenceModel *model)
	Calculate the SNR across the network. More...

Go to the source code of this file.

Macros
#define	omp   ignore

Enumerations
enum	LALInferenceLikelihoodFlags {   GAUSSIAN = 1 , STUDENTT = 2 , MARGPHI = 4 , MARGTIME = 8 ,   MARGTIMEPHI = 16 , MARGDIST = 32 }

Variables
const char *	non_intrinsic_params []

Macro Definition Documentation

omp

#define omp   ignore

Definition at line 65 of file LALInferenceLikelihood.c.

Enumeration Type Documentation

LALInferenceLikelihoodFlags

enum LALInferenceLikelihoodFlags

Enumerator
GAUSSIAN
STUDENTT
MARGPHI
MARGTIME
MARGTIMEPHI
MARGDIST

Definition at line 47 of file LALInferenceLikelihood.c.

Function Documentation

LALInferenceFusedFreqDomainLogLikelihood()

static REAL8 LALInferenceFusedFreqDomainLogLikelihood ( LALInferenceVariables *  currentParams, LALInferenceIFOData *  data, LALInferenceModel *  model, LALInferenceLikelihoodFlags  marginalisationflags  )

static

Definition at line 324 of file LALInferenceLikelihood.c.

integrate_interpolated_log()

static double integrate_interpolated_log ( double  h, REAL8 *  log_ys, size_t  n, double *  imean, size_t *  imax  )

static

Integrate interpolated log, returns the mean index in *imax if it is not a NULL pointer.

Stores the mean index in *imean (can be fractional).

The method used is the trapezoid method, which is quadratically accurate.

Definition at line 1588 of file LALInferenceLikelihood.c.

get_calib_spline()

static int get_calib_spline ( LALInferenceVariables *  vars, const char *  ifoname, REAL8Vector **  logfreqs, REAL8Vector **  amps, REAL8Vector **  phases  )

static

Definition at line 76 of file LALInferenceLikelihood.c.

checkItemAndAdd()

static int checkItemAndAdd ( void *  item, void **  array  )

static

Definition at line 264 of file LALInferenceLikelihood.c.

LALInferenceZeroLogLikelihood()

REAL8 LALInferenceZeroLogLikelihood	(	LALInferenceVariables *	currentParams,
		LALInferenceIFOData UNUSED *	data,
		LALInferenceModel UNUSED *	model
	)

For testing purposes (for instance sampling the prior), likelihood that returns 0.0 = log(1) every time.

Activated with the –zeroLogLike command flag.

Definition at line 282 of file LALInferenceLikelihood.c.

Variable Documentation

non_intrinsic_params

const char* non_intrinsic_params[]

Initial value:

= {"rightascension", "declination", "polarisation", "time",
                                "deltaLogL", "logL", "deltaloglH1", "deltaloglL1", "deltaloglV1",
                                "logw", "logPrior","hrss","loghrss", NULL}

Definition at line 232 of file LALInferenceLikelihood.c.