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GObservation.cpp File Reference

Abstract observation base class implementation. More...

#include "GTools.hpp"
#include "GException.hpp"
#include "GIntegral.hpp"
#include "GDerivative.hpp"
#include "GVector.hpp"
#include "GMatrixSparse.hpp"
#include "GObservation.hpp"
#include "GResponse.hpp"
#include "GEventCube.hpp"
#include "GEventList.hpp"
#include "GEventBin.hpp"
#include "GModel.hpp"
#include "GModels.hpp"
#include "GModelPar.hpp"
#include "GModelSky.hpp"
#include "GModelData.hpp"

Go to the source code of this file.

Macros

#define G_LIKELIHOOD
 
#define G_MODEL
 
#define G_EVENTS   "GObservation::events()"
 
#define G_NPRED   "GObservation::npred(GModel&)"
 
#define G_NPRED_SPEC   "GObservation::npred_spec(GModel&, GTime&)"
 
#define G_LN_ENERGY_INT
 ln(E) variable substitution for integration More...
 

Variables

const double minmod = 1.0e-100
 Minimum model value. More...
 
const double minerr = 1.0e-100
 Minimum statistical error. More...
 

Detailed Description

Abstract observation base class implementation.

Author
Juergen Knoedlseder

Definition in file GObservation.cpp.

Macro Definition Documentation

#define G_EVENTS   "GObservation::events()"

Definition at line 53 of file GObservation.cpp.

Referenced by GObservation::events().

#define G_LIKELIHOOD
Value:
"GObservation::likelihood(GModels&, GVector*,"\
" GMatrixSparse*, double*)"

Definition at line 49 of file GObservation.cpp.

Referenced by GObservation::likelihood().

#define G_LN_ENERGY_INT

ln(E) variable substitution for integration

Definition at line 64 of file GObservation.cpp.

#define G_MODEL
Value:
"GObservation::model(GModels&, GPointing&,"\
" GInstDir&, GEnergy&, GTime&, GVector*)"

Definition at line 51 of file GObservation.cpp.

Referenced by GObservation::model().

#define G_NPRED   "GObservation::npred(GModel&)"

Definition at line 54 of file GObservation.cpp.

Referenced by GObservation::npred().

#define G_NPRED_SPEC   "GObservation::npred_spec(GModel&, GTime&)"

Definition at line 55 of file GObservation.cpp.

Variable Documentation

const double minerr = 1.0e-100

Minimum statistical error.

Definition at line 59 of file GObservation.cpp.

Referenced by GObservation::likelihood_gaussian_binned().