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| static double | qInnerIntegrand (double M2, void *viData) |
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| static double | etaInnerIntegrand (double M2, void *viData) |
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| static double | outerIntegrand (double M1, void *voData) |
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| static REAL8 | REAL8max (REAL8 a, REAL8 b) |
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| void | LALInferenceInitCBCPrior (LALInferenceRunState *runState) |
| | Initialize the prior based on command line arguments. More...
|
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| void | LALInferenceInitLIBPrior (LALInferenceRunState *runState) |
| | Initialize the LIB prior based on command line arguments. More...
|
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| static REAL8 | LALInferenceConstantCalibrationPrior (LALInferenceRunState *runState, LALInferenceVariables *params) |
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| UINT4 | LALInferenceCubeToConstantCalibrationPrior (LALInferenceRunState *runState, LALInferenceVariables *params, INT4 *idx, double *Cube, void UNUSED *context) |
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| REAL8 | logGlitchAmplitudeDensity (REAL8 A, REAL8 Q, REAL8 f) |
| | Return the log Prior for the glitch amplitude. More...
|
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| static REAL8 | LALInferenceGlitchPrior (LALInferenceRunState *runState, LALInferenceVariables *params) |
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| static REAL8 | LALInferencePSDPrior (LALInferenceRunState *runState, LALInferenceVariables *params) |
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| REAL8 | LALInferenceInspiralPrior (LALInferenceRunState *runState, LALInferenceVariables *params, LALInferenceModel *model) |
| | Return the logarithmic prior density of the variables specified, for the non-spinning/spinning inspiral signal case. More...
|
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| UINT4 | LALInferenceInspiralCubeToPrior (LALInferenceRunState *runState, LALInferenceVariables *params, LALInferenceModel *model, double *Cube, void *context) |
| | Convert the hypercube parameter to physical parameters, for the non-spinning/spinning inspiral signal case. More...
|
| |
| void | LALInferenceCyclicReflectiveBound (LALInferenceVariables *parameter, LALInferenceVariables *priorArgs) |
| | Apply cyclic and reflective boundaries to parameter to bring it back within the allowed prior ranges that are specified in priorArgs. More...
|
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| void | LALInferenceRotateInitialPhase (LALInferenceVariables *parameter) |
| | Rotate initial phase if polarisation angle is cyclic around ranges. More...
|
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| REAL8 | LALInferenceInspiralSkyLocPrior (LALInferenceRunState *runState, LALInferenceVariables *params, UNUSED LALInferenceModel *model) |
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| UINT4 | LALInferenceInspiralSkyLocCubeToPrior (LALInferenceRunState *runState, LALInferenceVariables *params, UNUSED LALInferenceModel *model, double *Cube, void *context) |
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| REAL8 | LALInferenceComputePriorMassNorm (const double MMin, const double MMax, const double MTotMax, const double McMin, const double McMax, const double massRatioMin, const double massRatioMax, const char *massRatioName) |
| | Computes the numerical normalization of the mass prior \(p(\mathcal{M}) \sim
\mathcal{M}^{-11/6}\) applying all cuts in the mass plane implied by the various component, total, and chirp mass limits, and the mass ratio limits. More...
|
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| void | LALInferenceAddMinMaxPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *min, REAL8 *max, LALInferenceVariableType type) |
| | Function to add the minimum and maximum values for the uniform prior onto the priorArgs. More...
|
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| void | LALInferenceRemoveMinMaxPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Function to remove the minimum and maximum values for the uniform prior onto the priorArgs. More...
|
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| int | LALInferenceCheckMinMaxPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Check for types of standard prior. More...
|
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| void | LALInferenceGetMinMaxPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *min, REAL8 *max) |
| | Get the minimum and maximum values of the uniform prior from the priorArgs list, given a name. More...
|
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| int | LALInferenceCheckGaussianPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Check for a Gaussian prior (with a mean and variance) More...
|
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| void | LALInferenceAddGaussianPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *mu, REAL8 *sigma, LALInferenceVariableType type) |
| | Function to add the mu and sigma values for the Gaussian prior onto the priorArgs. More...
|
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| void | LALInferenceRemoveGaussianPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Function to remove the mu and sigma values for the Gaussian prior onto the priorArgs. More...
|
| |
| void | LALInferenceGetGaussianPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *mu, REAL8 *sigma) |
| | Get the mu and sigma values of the Gaussian prior from the priorArgs list, given a name. More...
|
| |
| void | LALInferenceAddCorrelatedPrior (LALInferenceVariables *priorArgs, const char *name, gsl_matrix **cor, REAL8 *mu, REAL8 *sigma, UINT4 *idx) |
| | Function to add a correlation matrix and parameter index for a prior defined as part of a multivariate Gaussian distribution onto the priorArgs. More...
|
| |
| void | LALInferenceGetCorrelatedPrior (LALInferenceVariables *priorArgs, const char *name, gsl_matrix **cor, gsl_matrix **invcor, REAL8 *mu, REAL8 *sigma, UINT4 *idx) |
| | Get the correlation coefficient matrix and index for a parameter from the priorArgs list. More...
|
| |
| void | LALInferenceRemoveCorrelatedPrior (LALInferenceVariables *priorArgs) |
| | Remove the correlation coefficient matrix and index for a parameter from the priorArgs list. More...
|
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| int | LALInferenceCheckCorrelatedPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Check for the existance of a correlation coefficient matrix and index for a parameter from the priorArgs list. More...
|
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| void | LALInferenceAddGMMPrior (LALInferenceVariables *priorArgs, const char *name, REAL8Vector ***mus, gsl_matrix ***covs, REAL8Vector **weights, REAL8Vector **minrange, REAL8Vector **maxrange) |
| | Add a Gaussian Mixture Model prior. More...
|
| |
| void | LALInferenceGetGMMPrior (LALInferenceVariables *priorArgs, const char *name, REAL8Vector ***mus, REAL8Vector ***sigmas, gsl_matrix ***cors, gsl_matrix ***invcors, REAL8Vector **weights, REAL8Vector **minrange, REAL8Vector **maxrange, REAL8Vector **dets, UINT4 *idx, CHAR **fullname) |
| | Get the parameters defining a Gaussian Mixture Model prior. More...
|
| |
| int | LALInferenceCheckGMMPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Check for a Gaussian Mixture Model prior. More...
|
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| void | LALInferenceRemoveGMMPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Remove a Gaussian Mixture Model prior. More...
|
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| int | LALInferenceCheckFermiDiracPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Check for a Fermi-Dirac prior (with a r and sigma parameter) More...
|
| |
| void | LALInferenceAddFermiDiracPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *sigma, REAL8 *r, LALInferenceVariableType type) |
| | Add a Fermi-Dirac prior. More...
|
| |
| void | LALInferenceRemoveFermiDiracPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Function to remove the r and sigma values for the Fermi-Dirac prior onto the priorArgs. More...
|
| |
| void | LALInferenceGetFermiDiracPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *sigma, REAL8 *r) |
| | Get the r and sigma values of the Fermi-Dirac prior from the priorArgs list, given a name. More...
|
| |
| int | LALInferenceCheckLogUniformPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Check for a log-uniform prior (with xmin and xmax parameters) More...
|
| |
| void | LALInferenceAddLogUniformPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *xmin, REAL8 *xmax, LALInferenceVariableType type) |
| | Add a log-uniform prior. More...
|
| |
| void | LALInferenceRemoveLogUniformPrior (LALInferenceVariables *priorArgs, const char *name) |
| | Function to remove the min and max values for the log-uniform prior from the priorArgs. More...
|
| |
| void | LALInferenceGetLogUniformPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 *xmin, REAL8 *xmax) |
| | Get the xmin and xmax values of the log-uniform prior from the priorArgs list, given a name. More...
|
| |
| void | LALInferenceDrawFromPrior (LALInferenceVariables *output, LALInferenceVariables *priorArgs, gsl_rng *rdm) |
| | Draw variables from the prior ranges. More...
|
| |
| void | LALInferenceDrawNameFromPrior (LALInferenceVariables *output, LALInferenceVariables *priorArgs, char *name, LALInferenceVariableType type, gsl_rng *rdm) |
| | Draw an individual variable from its prior range. More...
|
| |
| UINT4 | within_malmquist (LALInferenceRunState *runState, LALInferenceVariables *params, LALInferenceModel *model) |
| |
| REAL8 | LALInferenceAnalyticNullPrior (LALInferenceRunState UNUSED *runState, LALInferenceVariables *params, LALInferenceModel UNUSED *model) |
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| UINT4 | LALInferenceAnalyticCubeToPrior (LALInferenceRunState *runState, LALInferenceVariables *params, UNUSED LALInferenceModel *model, double *Cube, void *context) |
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| REAL8 | LALInferenceFlatBoundedPrior (LALInferenceRunState *runState, LALInferenceVariables *params) |
| | Prior that checks for minimum and maximum prior range specified in runState->priorArgs and returns 0.0 if sample lies inside the boundaries, -DBL_MAX otherwise. More...
|
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| REAL8 | LALInferenceNullPrior (LALInferenceRunState UNUSED *runState, LALInferenceVariables UNUSED *params, LALInferenceModel UNUSED *model) |
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| UINT4 | LALInferenceCubeToPSDScaleParams (LALInferenceVariables *priorParams, LALInferenceVariables *params, INT4 *idx, double *Cube, void UNUSED *context) |
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| REAL8 | LALInferenceSineGaussianPrior (LALInferenceRunState *runState, LALInferenceVariables *params, LALInferenceModel *model) |
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| REAL8 | LALInferenceCubeToFlatPrior (double r, double x1, double x2) |
| | Prior that converts from a Cube parameter in [0,1] to the flat prior bounded by x1 and x2. More...
|
| |
| REAL8 | LALInferenceCubeToLogFlatPrior (double r, double x1, double x2) |
| | Prior that converts from a Cube parameter in [0,1] to the flat in log prior bounded by x1 and x2. More...
|
| |
| REAL8 | LALInferenceCubeToPowerPrior (double p, double r, double x1, double x2) |
| | Prior that converts from a Cube parameter in [0,1] to the power prior bounded by x1 and x2 with power p. More...
|
| |
| REAL8 | LALInferenceCubeToGaussianPrior (double r, double mean, double sigma) |
| | Prior that converts from a Cube parameter in [0,1] to the Gaussian prior with given mean and standard deviation. More...
|
| |
| REAL8 | LALInferenceCubeToSinPrior (double r, double x1, double x2) |
| | Prior that converts from a Cube parameter in [0,1] to the sine prior with given min (x1) and max (x2) values. More...
|
| |
| REAL8 | LALInferenceFermiDiracPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 value) |
| | Return the Fermi-Dirac distribution log prior. More...
|
| |
| REAL8 | LALInferenceGMMPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 value) |
| | Calculate the log probability for the Gaussian Mixture Model prior. More...
|
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| REAL8 | LALInferenceLogUniformPrior (LALInferenceVariables *priorArgs, const char *name, REAL8 value) |
| |
1.9.4