Commit d1cd172c96bc1bc466d973fc4a5a3bbea56b5db8
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53a83c05
I added Feature 605 - LogParabola spectrum
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949 additions
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12 deletions
include/GModelSpectralLogParabola.hpp
0 → 100644
| 1 | +/* | |
| 2 | + * GModelSpectralLogParabola.hpp | |
| 3 | + * | |
| 4 | + * Created on: Nov 30, 2012 | |
| 5 | + * Author: mmayer | |
| 6 | + */ | |
| 7 | + | |
| 8 | +#ifndef GMODELSPECTRALLOGPARABOLA_HPP_ | |
| 9 | +#define GMODELSPECTRALLOGPARABOLA_HPP_ | |
| 10 | + | |
| 11 | + | |
| 12 | +/* __ Includes ___________________________________________________________ */ | |
| 13 | +#include <string> | |
| 14 | +#include "GModelPar.hpp" | |
| 15 | +#include "GModelSpectral.hpp" | |
| 16 | +#include "GEnergy.hpp" | |
| 17 | +#include "GXmlElement.hpp" | |
| 18 | +#include "GIntegral.hpp" | |
| 19 | + | |
| 20 | + | |
| 21 | +/***********************************************************************//** | |
| 22 | + * @class GModelSpectralLogParabola | |
| 23 | + * | |
| 24 | + * @brief LogParabola spectrall model class | |
| 25 | + * | |
| 26 | + * This class implements a logparabole as the spectral component of the | |
| 27 | + * gamma-ray sky model. The power law is defined as | |
| 28 | + * \f[I(E)=norm (E/pivot)^{index-curvature\ln(E/pivot)}\f] | |
| 29 | + * where | |
| 30 | + * \f$norm\f$ is the normalization or prefactor, | |
| 31 | + * \f$pivot\f$ is the pivot energy, and | |
| 32 | + * \f$index\f$ is the spectral index. | |
| 33 | + * \f$curvature\f$ is the curvature | |
| 34 | + ***************************************************************************/ | |
| 35 | +class GModelSpectralLogParabola : public GModelSpectral { | |
| 36 | + | |
| 37 | +public: | |
| 38 | + // Constructors and destructors | |
| 39 | + GModelSpectralLogParabola(void); | |
| 40 | + explicit GModelSpectralLogParabola(const double& norm, const double& index, const double &curvature); | |
| 41 | + explicit GModelSpectralLogParabola(const GXmlElement& xml); | |
| 42 | + GModelSpectralLogParabola(const GModelSpectralLogParabola& model); | |
| 43 | + virtual ~GModelSpectralLogParabola(void); | |
| 44 | + | |
| 45 | + // Operators | |
| 46 | + virtual GModelSpectralLogParabola& operator=(const GModelSpectralLogParabola& model); | |
| 47 | + | |
| 48 | + // Implemented pure virtual methods | |
| 49 | + virtual void clear(void); | |
| 50 | + virtual GModelSpectralLogParabola* clone(void) const; | |
| 51 | + virtual std::string type(void) const { return "LogParabola"; } | |
| 52 | + virtual double eval(const GEnergy& srcEng) const; | |
| 53 | + virtual double eval_gradients(const GEnergy& srcEng) const; | |
| 54 | + virtual double flux(const GEnergy& emin, const GEnergy& emax) const; | |
| 55 | + virtual double eflux(const GEnergy& emin, const GEnergy& emax) const; | |
| 56 | + virtual GEnergy mc(const GEnergy& emin, const GEnergy& emax, GRan& ran) const; | |
| 57 | + virtual void read(const GXmlElement& xml); | |
| 58 | + virtual void write(GXmlElement& xml) const; | |
| 59 | + virtual std::string print(void) const; | |
| 60 | + | |
| 61 | + // Other methods | |
| 62 | + void autoscale(void); | |
| 63 | + double norm(void) const { return m_norm.real_value(); } | |
| 64 | + double index(void) const { return m_index.real_value(); } | |
| 65 | + double curvature(void) const { return m_curvature.real_value(); } | |
| 66 | + double pivot(void) const { return m_pivot.real_value(); } | |
| 67 | + | |
| 68 | +protected: | |
| 69 | + // Protected methods | |
| 70 | + void init_members(void); | |
| 71 | + void copy_members(const GModelSpectralLogParabola& model); | |
| 72 | + void free_members(void); | |
| 73 | + | |
| 74 | + //class to determine to the integral photon flux | |
| 75 | + class flux_kern: public GIntegrand{ | |
| 76 | + public: | |
| 77 | + //Constructor | |
| 78 | + flux_kern(double norm, double index, double curvature, double pivot): | |
| 79 | + m_norm(norm),m_index(index),m_curvature(curvature),m_pivot(pivot){}; | |
| 80 | + | |
| 81 | + //Method | |
| 82 | + double eval(double x){return m_norm*std::pow(x/m_pivot,m_index+m_curvature*std::log(x/m_pivot));} | |
| 83 | + | |
| 84 | + //Members | |
| 85 | + protected: | |
| 86 | + double m_norm; //!< Normalization | |
| 87 | + double m_index; //!< Spectral index at pivot | |
| 88 | + double m_curvature; //!< Curvature | |
| 89 | + double m_pivot; //!< Pivot energy | |
| 90 | + }; | |
| 91 | + | |
| 92 | + // class to determine the integral energyflux, derviation of flux_kern | |
| 93 | + class eflux_kern: public flux_kern{ | |
| 94 | + public: | |
| 95 | + //Constructor | |
| 96 | + eflux_kern(double norm, double index, double curvature, double pivot):flux_kern(norm,index,curvature,pivot){}; | |
| 97 | + | |
| 98 | + //Method | |
| 99 | + double eval(double x){return x*flux_kern::eval(x);} | |
| 100 | + }; | |
| 101 | + | |
| 102 | + | |
| 103 | + // Protected members | |
| 104 | + GModelPar m_norm; //!< Normalization factor | |
| 105 | + GModelPar m_index; //!< Spectral index | |
| 106 | + GModelPar m_curvature; //!< Curvature | |
| 107 | + GModelPar m_pivot; //!< Pivot energy | |
| 108 | +}; | |
| 109 | + | |
| 110 | + | |
| 111 | + | |
| 112 | +#endif /* GMODELSPECTRALLOGPARABOLA_HPP_ */ | ... | ... |
include/GammaLib.hpp
| ... | ... | @@ -133,9 +133,7 @@ |
| 133 | 133 | |
| 134 | 134 | /* __ Observation handling _______________________________________________ */ |
| 135 | 135 | #include "GEnergy.hpp" |
| 136 | -#include "GTimes.hpp" | |
| 137 | 136 | #include "GTime.hpp" |
| 138 | -#include "GTimeReference.hpp" | |
| 139 | 137 | #include "GCaldb.hpp" |
| 140 | 138 | #include "GObservations.hpp" |
| 141 | 139 | #include "GObservation.hpp" |
| ... | ... | @@ -183,6 +181,7 @@ |
| 183 | 181 | #include "GModelSpectralNodes.hpp" |
| 184 | 182 | #include "GModelSpectralPlaw.hpp" |
| 185 | 183 | #include "GModelSpectralPlaw2.hpp" |
| 184 | +#include "GModelSpectralLogParabola.hpp" | |
| 186 | 185 | #include "GModelTemporal.hpp" |
| 187 | 186 | #include "GModelTemporalRegistry.hpp" |
| 188 | 187 | #include "GModelTemporalConst.hpp" | ... | ... |
include/Makefile.am
| 1 | 1 | # Define package included headers (to be installed) |
| 2 | 2 | pkginclude_HEADERS = GammaLib.hpp \ |
| 3 | - GBase.hpp \ | |
| 4 | - GRegistry.hpp \ | |
| 5 | 3 | GException.hpp \ |
| 6 | 4 | GNodeArray.hpp \ |
| 7 | 5 | GTools.hpp \ |
| ... | ... | @@ -20,9 +18,7 @@ pkginclude_HEADERS = GammaLib.hpp \ |
| 20 | 18 | GWcsSTG.hpp \ |
| 21 | 19 | GWcsHPX.hpp \ |
| 22 | 20 | GEnergy.hpp \ |
| 23 | - GTimes.hpp \ | |
| 24 | 21 | GTime.hpp \ |
| 25 | - GTimeReference.hpp \ | |
| 26 | 22 | GCaldb.hpp \ |
| 27 | 23 | GObservations.hpp \ |
| 28 | 24 | GObservation.hpp \ |
| ... | ... | @@ -67,6 +63,7 @@ pkginclude_HEADERS = GammaLib.hpp \ |
| 67 | 63 | GModelSpectralPlaw.hpp \ |
| 68 | 64 | GModelSpectralPlaw2.hpp \ |
| 69 | 65 | GModelSpectralExpPlaw.hpp \ |
| 66 | + GModelSpectralLogParabola.hpp \ | |
| 70 | 67 | GModelSpectralFunc.hpp \ |
| 71 | 68 | GModelSpectralNodes.hpp \ |
| 72 | 69 | GModelSpectralConst.hpp \ |
| ... | ... | @@ -125,11 +122,10 @@ pkginclude_HEADERS = GammaLib.hpp \ |
| 125 | 122 | GIntegrand.hpp \ |
| 126 | 123 | GDerivative.hpp \ |
| 127 | 124 | GFunction.hpp \ |
| 128 | - GNumerics.hpp \ | |
| 129 | 125 | GOptimizer.hpp \ |
| 130 | 126 | GOptimizerLM.hpp \ |
| 131 | 127 | GOptimizerPars.hpp \ |
| 132 | 128 | GOptimizerFunction.hpp \ |
| 133 | 129 | GTestSuite.hpp \ |
| 134 | 130 | GTestSuites.hpp \ |
| 135 | - GTestCase.hpp | |
| 136 | 131 | \ No newline at end of file |
| 132 | + GTestCase.hpp | ... | ... |
pyext/GModelSpectralLogParabola.i
0 → 100644
| 1 | +/*************************************************************************** | |
| 2 | + * GModelSpectralLogParabola.i - LogParabola model class * | |
| 3 | + * ----------------------------------------------------------------------- * | |
| 4 | + * copyright (C) 2009-2011 by Jurgen Knodlseder * | |
| 5 | + * ----------------------------------------------------------------------- * | |
| 6 | + * * | |
| 7 | + * This program is free software: you can redistribute it and/or modify * | |
| 8 | + * it under the terms of the GNU General Public License as published by * | |
| 9 | + * the Free Software Foundation, either version 3 of the License, or * | |
| 10 | + * (at your option) any later version. * | |
| 11 | + * * | |
| 12 | + * This program is distributed in the hope that it will be useful, * | |
| 13 | + * but WITHOUT ANY WARRANTY; without even the implied warranty of * | |
| 14 | + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * | |
| 15 | + * GNU General Public License for more details. * | |
| 16 | + * * | |
| 17 | + * You should have received a copy of the GNU General Public License * | |
| 18 | + * along with this program. If not, see <http://www.gnu.org/licenses/>. * | |
| 19 | + * * | |
| 20 | + ***************************************************************************/ | |
| 21 | +/** | |
| 22 | + * @file GModelSpectralLogParabola.i | |
| 23 | + * @brief LogParabola spectral model class Python interface definition | |
| 24 | + * @author M. Mayer | |
| 25 | + */ | |
| 26 | +%{ | |
| 27 | +/* Put headers and other declarations here that are needed for compilation */ | |
| 28 | +#include "GModelSpectralLogParabola.hpp" | |
| 29 | +#include "GTools.hpp" | |
| 30 | +%} | |
| 31 | + | |
| 32 | + | |
| 33 | +/***********************************************************************//** | |
| 34 | + * @class GModelSpectralLogParabola | |
| 35 | + * | |
| 36 | + * @brief LogParabola spectral model class | |
| 37 | + ***************************************************************************/ | |
| 38 | +class GModelSpectralLogParabola : public GModelSpectral { | |
| 39 | +public: | |
| 40 | + // Constructors and destructors | |
| 41 | + GModelSpectralLogParabola(void); | |
| 42 | + explicit GModelSpectralLogParabola(const double& norm, const double& index,const double& curvature); | |
| 43 | + explicit GModelSpectralLogParabola(const GXmlElement& xml); | |
| 44 | + GModelSpectralLogParabola(const GModelSpectralLogParabola& model); | |
| 45 | + virtual ~GModelSpectralLogParabola(void); | |
| 46 | + | |
| 47 | + // Implemented pure virtual methods | |
| 48 | + virtual void clear(void); | |
| 49 | + virtual GModelSpectralLogParabola* clone(void) const; | |
| 50 | + virtual std::string type(void) const; | |
| 51 | + virtual double eval(const GEnergy& srcEng) const; | |
| 52 | + virtual double eval_gradients(const GEnergy& srcEng) const; | |
| 53 | + virtual double flux(const GEnergy& emin, const GEnergy& emax) const; | |
| 54 | + virtual double eflux(const GEnergy& emin, const GEnergy& emax) const; | |
| 55 | + virtual GEnergy mc(const GEnergy& emin, const GEnergy& emax, GRan& ran) const; | |
| 56 | + virtual void read(const GXmlElement& xml); | |
| 57 | + virtual void write(GXmlElement& xml) const; | |
| 58 | + | |
| 59 | + // Other methods | |
| 60 | + void autoscale(void); | |
| 61 | + double norm(void) const; | |
| 62 | + double index(void) const; | |
| 63 | + double curvature(void) const; | |
| 64 | + double pivot(void) const; | |
| 65 | +}; | |
| 66 | + | |
| 67 | + | |
| 68 | +/***********************************************************************//** | |
| 69 | + * @brief GModelSpectralLogParabola class extension | |
| 70 | + ***************************************************************************/ | |
| 71 | +%extend GModelSpectralLogParabola { | |
| 72 | + GModelSpectralLogParabola copy() { | |
| 73 | + return (*self); | |
| 74 | + } | |
| 75 | +}; | ... | ... |
pyext/gammalib/model.i
| ... | ... | @@ -27,12 +27,10 @@ |
| 27 | 27 | /* __ Include standard typemaps for vectors and strings __________________ */ |
| 28 | 28 | %include stl.i |
| 29 | 29 | |
| 30 | -/* __ Include interface classes __________________________________________ */ | |
| 31 | -%import(module="gammalib.base") "GBase.i"; | |
| 32 | -%import(module="gammalib.base") "GRegistry.i"; | |
| 33 | - | |
| 34 | 30 | /* __ Make sure that exceptions are catched ______________________________ */ |
| 35 | 31 | %import(module="gammalib.support") "GException.i"; |
| 32 | + | |
| 33 | +/* __ Inform about base classes __________________________________________ */ | |
| 36 | 34 | %import(module="gammalib.opt") "GOptimizerPars.i"; |
| 37 | 35 | |
| 38 | 36 | /* __ Model handling _____________________________________________________ */ |
| ... | ... | @@ -64,6 +62,7 @@ |
| 64 | 62 | %include "GModelSpectralNodes.i" |
| 65 | 63 | %include "GModelSpectralPlaw.i" |
| 66 | 64 | %include "GModelSpectralPlaw2.i" |
| 65 | +%include "GModelSpectralLogParabola.i" | |
| 67 | 66 | %include "GModelTemporal.i" |
| 68 | 67 | %include "GModelTemporalRegistry.i" |
| 69 | 68 | %include "GModelTemporalConst.i" | ... | ... |
src/model/GModelSpectralLogParabola.cpp
0 → 100644
| 1 | +/* | |
| 2 | + * GModelSpectralLogParabola.cpp | |
| 3 | + * | |
| 4 | + * Created on: Nov 30, 2012 | |
| 5 | + * Author: mimayer | |
| 6 | + */ | |
| 7 | + | |
| 8 | + | |
| 9 | +/*************************************************************************** | |
| 10 | + * GModelSpectralLogParabola.cpp - Spectral LogParabola model class * | |
| 11 | + * ----------------------------------------------------------------------- * | |
| 12 | + * copyright (C) 2009-2012 by Juergen Knoedlseder * | |
| 13 | + * ----------------------------------------------------------------------- * | |
| 14 | + * * | |
| 15 | + * This program is free software: you can redistribute it and/or modify * | |
| 16 | + * it under the terms of the GNU General Public License as published by * | |
| 17 | + * the Free Software Foundation, either version 3 of the License, or * | |
| 18 | + * (at your option) any later version. * | |
| 19 | + * * | |
| 20 | + * This program is distributed in the hope that it will be useful, * | |
| 21 | + * but WITHOUT ANY WARRANTY; without even the implied warranty of * | |
| 22 | + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * | |
| 23 | + * GNU General Public License for more details. * | |
| 24 | + * * | |
| 25 | + * You should have received a copy of the GNU General Public License * | |
| 26 | + * along with this program. If not, see <http://www.gnu.org/licenses/>. * | |
| 27 | + * * | |
| 28 | + ***************************************************************************/ | |
| 29 | +/** | |
| 30 | + * @file GModelSpectralPlaw.cpp | |
| 31 | + * @brief LogParabola spectral model class implementation | |
| 32 | + * @author M. Mayer | |
| 33 | + */ | |
| 34 | + | |
| 35 | +/* __ Includes ___________________________________________________________ */ | |
| 36 | +#ifdef HAVE_CONFIG_H | |
| 37 | +#include <config.h> | |
| 38 | +#endif | |
| 39 | +#include <cmath> | |
| 40 | +#include "GException.hpp" | |
| 41 | +#include "GTools.hpp" | |
| 42 | +#include "GModelSpectralLogParabola.hpp" | |
| 43 | +#include "GModelSpectralRegistry.hpp" | |
| 44 | + | |
| 45 | +/* __ Constants __________________________________________________________ */ | |
| 46 | + | |
| 47 | +/* __ Globals ____________________________________________________________ */ | |
| 48 | +const GModelSpectralLogParabola g_spectral_logparabola_seed; | |
| 49 | +const GModelSpectralRegistry g_spectral_logparabola_registry(&g_spectral_logparabola_seed); | |
| 50 | + | |
| 51 | +/* __ Method name definitions ____________________________________________ */ | |
| 52 | +#define G_FLUX "GModelSpectralLogParabola::flux(GEnergy&, GEnergy&)" | |
| 53 | +#define G_EFLUX "GModelSpectralLogParabola::eflux(GEnergy&, GEnergy&)" | |
| 54 | +#define G_MC "GModelSpectralLogParabola::mc(GEnergy&, GEnergy&, GRan&)" | |
| 55 | +#define G_READ "GModelSpectralLogParabola::read(GXmlElement&)" | |
| 56 | +#define G_WRITE "GModelSpectralLogParabola::write(GXmlElement&)" | |
| 57 | + | |
| 58 | +/* __ Macros _____________________________________________________________ */ | |
| 59 | + | |
| 60 | +/* __ Coding definitions _________________________________________________ */ | |
| 61 | + | |
| 62 | +/* __ Debug definitions __________________________________________________ */ | |
| 63 | + | |
| 64 | + | |
| 65 | +/*========================================================================== | |
| 66 | + = = | |
| 67 | + = Constructors/destructors = | |
| 68 | + = = | |
| 69 | + ==========================================================================*/ | |
| 70 | + | |
| 71 | +/***********************************************************************//** | |
| 72 | + * @brief Void constructor | |
| 73 | + ***************************************************************************/ | |
| 74 | +GModelSpectralLogParabola::GModelSpectralLogParabola(void) : GModelSpectral() | |
| 75 | +{ | |
| 76 | + // Initialise private members for clean destruction | |
| 77 | + init_members(); | |
| 78 | + | |
| 79 | + // Return | |
| 80 | + return; | |
| 81 | +} | |
| 82 | + | |
| 83 | + | |
| 84 | +/***********************************************************************//** | |
| 85 | + * @brief Constructor | |
| 86 | + * | |
| 87 | + * @param[in] norm Power law normalization. | |
| 88 | + * @param[in] index Power law index. | |
| 89 | + * @param[in] curvature | |
| 90 | + * | |
| 91 | + * Construct a LogParabola model from a normalization value, a spectral | |
| 92 | + * index and a curvature | |
| 93 | + ***************************************************************************/ | |
| 94 | +GModelSpectralLogParabola::GModelSpectralLogParabola(const double& norm, | |
| 95 | + const double& index, const double& curvature) : GModelSpectral() | |
| 96 | +{ | |
| 97 | + // Initialise members | |
| 98 | + init_members(); | |
| 99 | + | |
| 100 | + // Set parameters | |
| 101 | + m_norm.real_value(norm); | |
| 102 | + m_index.real_value(index); | |
| 103 | + m_curvature.real_value(curvature); | |
| 104 | + | |
| 105 | + // Return | |
| 106 | + return; | |
| 107 | +} | |
| 108 | + | |
| 109 | + | |
| 110 | +/***********************************************************************//** | |
| 111 | + * @brief XML constructor | |
| 112 | + * | |
| 113 | + * @param[in] xml XML element. | |
| 114 | + * | |
| 115 | + * Creates instance of a log parabola spectral model by extracting information | |
| 116 | + * from an XML element. See GModelSpectralLogParabola::read() for more information | |
| 117 | + * about the expected structure of the XML element. | |
| 118 | + ***************************************************************************/ | |
| 119 | +GModelSpectralLogParabola::GModelSpectralLogParabola(const GXmlElement& xml) : GModelSpectral() | |
| 120 | +{ | |
| 121 | + // Initialise members | |
| 122 | + init_members(); | |
| 123 | + | |
| 124 | + // Read information from XML element | |
| 125 | + read(xml); | |
| 126 | + | |
| 127 | + // Return | |
| 128 | + return; | |
| 129 | +} | |
| 130 | + | |
| 131 | + | |
| 132 | +/***********************************************************************//** | |
| 133 | + * @brief Copy constructor | |
| 134 | + * | |
| 135 | + * @param[in] model LogParabola model. | |
| 136 | + ***************************************************************************/ | |
| 137 | +GModelSpectralLogParabola::GModelSpectralLogParabola(const GModelSpectralLogParabola& model) | |
| 138 | + : GModelSpectral(model) | |
| 139 | +{ | |
| 140 | + // Initialise members | |
| 141 | + init_members(); | |
| 142 | + | |
| 143 | + // Copy members | |
| 144 | + copy_members(model); | |
| 145 | + | |
| 146 | + // Return | |
| 147 | + return; | |
| 148 | +} | |
| 149 | + | |
| 150 | + | |
| 151 | +/***********************************************************************//** | |
| 152 | + * @brief Destructor | |
| 153 | + ***************************************************************************/ | |
| 154 | +GModelSpectralLogParabola::~GModelSpectralLogParabola(void) | |
| 155 | +{ | |
| 156 | + // Free members | |
| 157 | + free_members(); | |
| 158 | + | |
| 159 | + // Return | |
| 160 | + return; | |
| 161 | +} | |
| 162 | + | |
| 163 | + | |
| 164 | +/*========================================================================== | |
| 165 | + = = | |
| 166 | + = Operators = | |
| 167 | + = = | |
| 168 | + ==========================================================================*/ | |
| 169 | + | |
| 170 | +/***********************************************************************//** | |
| 171 | + * @brief Assignment operator | |
| 172 | + * | |
| 173 | + * @param[in] model LogParabola model. | |
| 174 | + ***************************************************************************/ | |
| 175 | +GModelSpectralLogParabola& GModelSpectralLogParabola::operator=(const GModelSpectralLogParabola& model) | |
| 176 | +{ | |
| 177 | + // Execute only if object is not identical | |
| 178 | + if (this != &model) { | |
| 179 | + | |
| 180 | + // Copy base class members | |
| 181 | + this->GModelSpectral::operator=(model); | |
| 182 | + | |
| 183 | + // Free members | |
| 184 | + free_members(); | |
| 185 | + | |
| 186 | + // Initialise members | |
| 187 | + init_members(); | |
| 188 | + | |
| 189 | + // Copy members | |
| 190 | + copy_members(model); | |
| 191 | + | |
| 192 | + } // endif: object was not identical | |
| 193 | + | |
| 194 | + // Return | |
| 195 | + return *this; | |
| 196 | +} | |
| 197 | + | |
| 198 | + | |
| 199 | +/*========================================================================== | |
| 200 | + = = | |
| 201 | + = Public methods = | |
| 202 | + = = | |
| 203 | + ==========================================================================*/ | |
| 204 | + | |
| 205 | +/***********************************************************************//** | |
| 206 | + * @brief Clear instance | |
| 207 | +***************************************************************************/ | |
| 208 | +void GModelSpectralLogParabola::clear(void) | |
| 209 | +{ | |
| 210 | + // Free class members (base and derived classes, derived class first) | |
| 211 | + free_members(); | |
| 212 | + this->GModelSpectral::free_members(); | |
| 213 | + | |
| 214 | + // Initialise members | |
| 215 | + this->GModelSpectral::init_members(); | |
| 216 | + init_members(); | |
| 217 | + | |
| 218 | + // Return | |
| 219 | + return; | |
| 220 | +} | |
| 221 | + | |
| 222 | + | |
| 223 | +/***********************************************************************//** | |
| 224 | + * @brief Clone instance | |
| 225 | +***************************************************************************/ | |
| 226 | +GModelSpectralLogParabola* GModelSpectralLogParabola::clone(void) const | |
| 227 | +{ | |
| 228 | + return new GModelSpectralLogParabola(*this); | |
| 229 | +} | |
| 230 | + | |
| 231 | + | |
| 232 | +/***********************************************************************//** | |
| 233 | + * @brief Evaluate function | |
| 234 | + * | |
| 235 | + * @param[in] srcEng True energy of photon. | |
| 236 | + * | |
| 237 | + * The logparabola function is defined as | |
| 238 | + * \f[I(E)=norm (E/pivot)^{index-curvature*log(E/pivot)}\f] | |
| 239 | + * where | |
| 240 | + * \f$norm\f$ is the normalization or prefactor, | |
| 241 | + * \f$pivot\f$ is the pivot energy, and | |
| 242 | + * \f$index\f$ is the spectral index. | |
| 243 | + * \f$curvature\f$ is the curvature | |
| 244 | + * | |
| 245 | + * @todo For the moment the pivot energy is fixed to units of MeV. This may | |
| 246 | + * not be ideal and should eventually be improved in the future. | |
| 247 | + * Furthermore, the method expects that energy!=0. Otherwise Inf or NaN | |
| 248 | + * may result. | |
| 249 | + ***************************************************************************/ | |
| 250 | +double GModelSpectralLogParabola::eval(const GEnergy& srcEng) const | |
| 251 | +{ | |
| 252 | + // Compute function value | |
| 253 | + double energy = srcEng.MeV() / pivot(); | |
| 254 | + double exponent = index() + curvature()*log(energy); | |
| 255 | + double power = std::pow(energy,exponent); | |
| 256 | + double value = norm() * power; | |
| 257 | + | |
| 258 | + // Compile option: Check for NaN/Inf | |
| 259 | + #if defined(G_NAN_CHECK) | |
| 260 | + if (isnotanumber(value) || isinfinite(value)) { | |
| 261 | + std::cout << "*** ERROR: GModelSpectralPlaw::eval"; | |
| 262 | + std::cout << "(srcEng=" << srcEng << "):"; | |
| 263 | + std::cout << " NaN/Inf encountered"; | |
| 264 | + std::cout << " (value=" << value; | |
| 265 | + std::cout << ", energy=" << energy; | |
| 266 | + std::cout << ", index=" << index(); | |
| 267 | + std::cout << ", curvature=" << curvature(); | |
| 268 | + std::cout << ", pivot=" << pivot(); | |
| 269 | + std::cout << ", power=" << power; | |
| 270 | + std::cout << ")" << std::endl; | |
| 271 | + } | |
| 272 | + #endif | |
| 273 | + | |
| 274 | + // Return | |
| 275 | + return value; | |
| 276 | +} | |
| 277 | + | |
| 278 | + | |
| 279 | +/***********************************************************************//** | |
| 280 | + * @brief Evaluate function and gradients | |
| 281 | + * | |
| 282 | + * @param[in] srcEng True energy of photon. | |
| 283 | + * | |
| 284 | + * The logparabol function is defined as | |
| 285 | + * \f[I(E)=norm (E/pivot)^{index-curvature\ln(E/pivot)}\f] | |
| 286 | + * where | |
| 287 | + * \f$norm=n_s n_v\f$ is the normalization or prefactor, | |
| 288 | + * \f$pivot=p_s p_v\f$ is the pivot energy, and | |
| 289 | + * \f$index=i_s i_v\f$ is the spectral index. | |
| 290 | + * \f$curvature=i_s i_v\f$ is the curvature | |
| 291 | + * Note that each parameter is factorised into a scaling factor and a value | |
| 292 | + * and that the method is expected to return the gradient with respect to | |
| 293 | + * the parameter value (i.e. n_v, p_v, i_v, and c_v in this case). | |
| 294 | + * | |
| 295 | + * The partial derivatives of the parameter values are given by | |
| 296 | + *@todo implement formulae here | |
| 297 | + * | |
| 298 | + * @todo For the moment the pivot energy is fixed to units of MeV. This may | |
| 299 | + * not be ideal and should eventually be improved in the futur. | |
| 300 | + * Furthermore, the method expects that energy!=0. Otherwise Inf or NaN | |
| 301 | + * may result. | |
| 302 | + ***************************************************************************/ | |
| 303 | +double GModelSpectralLogParabola::eval_gradients(const GEnergy& srcEng) const | |
| 304 | +{ | |
| 305 | + // Compute function value | |
| 306 | + double energy = srcEng.MeV() / pivot(); | |
| 307 | + double exponent = index() + curvature()*std::log(energy); | |
| 308 | + double power = std::pow(energy,exponent); | |
| 309 | + double value = norm() * power; | |
| 310 | + | |
| 311 | + // Compute partial derivatives of the parameter values | |
| 312 | + double g_norm = (m_norm.isfree()) ? m_norm.scale() * power : 0.0; | |
| 313 | + double g_index = (m_index.isfree()) ? value * m_index.scale() * std::log(energy) : 0.0; | |
| 314 | + double g_curvature = (m_curvature.isfree()) ? value * m_curvature.scale() * std::pow(std::log(energy),2) : 0.0; | |
| 315 | + double g_pivot = (m_pivot.isfree()) ? -value/m_pivot.value() * (exponent + curvature()*std::log(energy)) : 0.0; | |
| 316 | + | |
| 317 | + // Set gradients (circumvent const correctness) | |
| 318 | + const_cast<GModelSpectralLogParabola*>(this)->m_norm.gradient(g_norm); | |
| 319 | + const_cast<GModelSpectralLogParabola*>(this)->m_index.gradient(g_index); | |
| 320 | + const_cast<GModelSpectralLogParabola*>(this)->m_curvature.gradient(g_curvature); | |
| 321 | + const_cast<GModelSpectralLogParabola*>(this)->m_pivot.gradient(g_pivot); | |
| 322 | + | |
| 323 | + // Compile option: Check for NaN/Inf | |
| 324 | + #if defined(G_NAN_CHECK) | |
| 325 | + if (isnotanumber(value) || isinfinite(value)) { | |
| 326 | + std::cout << "*** ERROR: GModelSpectralPlaw::eval_gradients"; | |
| 327 | + std::cout << "(srcEng=" << srcEng << "):"; | |
| 328 | + std::cout << " NaN/Inf encountered"; | |
| 329 | + std::cout << " (value=" << value; | |
| 330 | + std::cout << ", energy=" << energy; | |
| 331 | + std::cout << ", index=" << index(); | |
| 332 | + std::cout << ", curvature=" << curvature(); | |
| 333 | + std::cout << ", pivot=" << pivot(); | |
| 334 | + std::cout << ", power=" << power; | |
| 335 | + std::cout << ", g_norm=" << g_norm; | |
| 336 | + std::cout << ", g_index=" << g_index; | |
| 337 | + std::cout << ", g_curvature=" << g_curvature; | |
| 338 | + std::cout << ", g_pivot=" << g_pivot; | |
| 339 | + std::cout << ")" << std::endl; | |
| 340 | + } | |
| 341 | + #endif | |
| 342 | + | |
| 343 | + // Return | |
| 344 | + return value; | |
| 345 | +} | |
| 346 | + | |
| 347 | + | |
| 348 | +/***********************************************************************//** | |
| 349 | + * @brief Returns model photon flux between [emin, emax] (units: ph/cm2/s) | |
| 350 | + * | |
| 351 | + * @param[in] emin Minimum photon energy. | |
| 352 | + * @param[in] emax Maximum photon energy. | |
| 353 | + * | |
| 354 | + * Computes | |
| 355 | + * \f[\int_{E_{\rm min}}^{E_{\rm max}} I(E) dE\f] | |
| 356 | + * where | |
| 357 | + * \f$E_{\rm min}\f$ and \f$E_{\rm max}\f$ are the minimum and maximum | |
| 358 | + * energy, respectively, and | |
| 359 | + * \f$I(E)\f$ is the spectral model (units: ph/cm2/s/MeV). | |
| 360 | + * The integration is done numerically. | |
| 361 | + ***************************************************************************/ | |
| 362 | +double GModelSpectralLogParabola::flux(const GEnergy& emin, const GEnergy& emax) const | |
| 363 | +{ | |
| 364 | + //Initialise function to integrate | |
| 365 | + flux_kern flux(norm(),index(),curvature(),pivot()); | |
| 366 | + | |
| 367 | + //Initialise integral class with function | |
| 368 | + GIntegral integral(&flux); | |
| 369 | + | |
| 370 | + //Set integration precision | |
| 371 | + integral.eps(1.0e-8); | |
| 372 | + | |
| 373 | + //Calculate integral between emin and emax | |
| 374 | + double photonflux = integral.romb(emin.MeV(), emax.MeV()); | |
| 375 | + | |
| 376 | + //Return value | |
| 377 | + return photonflux; | |
| 378 | +} | |
| 379 | + | |
| 380 | + | |
| 381 | +/***********************************************************************//** | |
| 382 | + * @brief Returns model energy flux between [emin, emax] (units: erg/cm2/s) | |
| 383 | + * | |
| 384 | + * @param[in] emin Minimum photon energy. | |
| 385 | + * @param[in] emax Maximum photon energy. | |
| 386 | + * | |
| 387 | + * Computes | |
| 388 | + * \f[\int_{E_{\rm min}}^{E_{\rm max}} I(E) E dE\f] | |
| 389 | + * where | |
| 390 | + * \f$E_{\rm min}\f$ and \f$E_{\rm max}\f$ are the minimum and maximum | |
| 391 | + * energy, respectively, and | |
| 392 | + * \f$I(E)\f$ is the spectral model (units: ph/cm2/s/MeV). | |
| 393 | + * The integration is done numerically. | |
| 394 | + ***************************************************************************/ | |
| 395 | +double GModelSpectralLogParabola::eflux(const GEnergy& emin, const GEnergy& emax) const | |
| 396 | +{ | |
| 397 | + //Initialise function to integrate | |
| 398 | + eflux_kern eflux(norm(),index(),curvature(),pivot()); | |
| 399 | + | |
| 400 | + //Initialise integral class with function | |
| 401 | + GIntegral integral(&eflux); | |
| 402 | + | |
| 403 | + //Set integration precision | |
| 404 | + integral.eps(1.0e-8); | |
| 405 | + | |
| 406 | + //Calculate integral between emin and emax | |
| 407 | + double energyflux = integral.romb(emin.MeV(), emax.MeV()); | |
| 408 | + | |
| 409 | + //Return value | |
| 410 | + return energyflux; | |
| 411 | +} | |
| 412 | + | |
| 413 | + | |
| 414 | +/***********************************************************************//** | |
| 415 | + * @brief Returns Monte Carlo energy between [emin, emax] | |
| 416 | + * | |
| 417 | + * @param[in] emin Minimum photon energy. | |
| 418 | + * @param[in] emax Maximum photon energy. | |
| 419 | + * @param[in] ran Random number generator. | |
| 420 | + * | |
| 421 | + * Returns Monte Carlo energy by randomly drawing from a power law. | |
| 422 | + ***************************************************************************/ | |
| 423 | +GEnergy GModelSpectralLogParabola::mc(const GEnergy& emin, const GEnergy& emax, | |
| 424 | + GRan& ran) const | |
| 425 | +{ | |
| 426 | + // Allocate energy | |
| 427 | + GEnergy energy; | |
| 428 | + | |
| 429 | + // Dump warning that method is not yet implemented | |
| 430 | + throw GException::feature_not_implemented(G_MC); | |
| 431 | + | |
| 432 | + // Return energy | |
| 433 | + return energy; | |
| 434 | +} | |
| 435 | + | |
| 436 | + | |
| 437 | +/***********************************************************************//** | |
| 438 | + * @brief Autoscale normalization | |
| 439 | + * | |
| 440 | + * Based on the actual value of the m_norm parameter, set the scale of m_norm | |
| 441 | + * so that the value will be 1. If minimum and/or maximum value boundaries | |
| 442 | + * exist, the boundaries are also modified accordingly. | |
| 443 | + ***************************************************************************/ | |
| 444 | +void GModelSpectralLogParabola::autoscale(void) | |
| 445 | +{ | |
| 446 | + // Autoscale normalization to a value of 1.0 | |
| 447 | + if (m_norm.value() != 0.0) { | |
| 448 | + | |
| 449 | + // Get inverse scaling factor | |
| 450 | + double invscale = 1.0 / m_norm.value(); | |
| 451 | + | |
| 452 | + // Set values, error, min and max | |
| 453 | + m_norm.value(m_norm.value() * invscale); | |
| 454 | + m_norm.error(m_norm.error() * invscale); | |
| 455 | + if (m_norm.hasmin()) { | |
| 456 | + m_norm.min(m_norm.min() * invscale); | |
| 457 | + } | |
| 458 | + if (m_norm.hasmax()) { | |
| 459 | + m_norm.max(m_norm.max() * invscale); | |
| 460 | + } | |
| 461 | + | |
| 462 | + // Set scale | |
| 463 | + m_norm.scale(1.0 / invscale); | |
| 464 | + | |
| 465 | + } | |
| 466 | + | |
| 467 | + // Return | |
| 468 | + return; | |
| 469 | +} | |
| 470 | + | |
| 471 | + | |
| 472 | +/***********************************************************************//** | |
| 473 | + * @brief Read model from XML element | |
| 474 | + * | |
| 475 | + * @param[in] xml XML element containing logparabola model information. | |
| 476 | + * | |
| 477 | + * @exception GException::model_invalid_parnum | |
| 478 | + * Invalid number of model parameters found in XML element. | |
| 479 | + * @exception GException::model_invalid_parnames | |
| 480 | + * Invalid model parameter names found in XML element. | |
| 481 | + * | |
| 482 | + * Read the logparabola information from an XML element. The XML | |
| 483 | + * element is required to have 4 parameters with names "Prefactor", "Index", | |
| 484 | + * "Curvature" and "Scale". | |
| 485 | + * | |
| 486 | + * @todo Add parameter validity check | |
| 487 | + ***************************************************************************/ | |
| 488 | +void GModelSpectralLogParabola::read(const GXmlElement& xml) | |
| 489 | +{ | |
| 490 | + // Verify that XML element has exactly 3 parameters | |
| 491 | + if (xml.elements() != 4 || xml.elements("parameter") != 4) { | |
| 492 | + throw GException::model_invalid_parnum(G_READ, xml, | |
| 493 | + "LogParabola model requires exactly 4 parameters."); | |
| 494 | + } | |
| 495 | + | |
| 496 | + // Extract model parameters | |
| 497 | + int npar[] = {0, 0, 0,0}; | |
| 498 | + for (int i = 0; i < 4; ++i) { | |
| 499 | + | |
| 500 | + // Get parameter element | |
| 501 | + GXmlElement* par = static_cast<GXmlElement*>(xml.element("parameter", i)); | |
| 502 | + | |
| 503 | + // Handle prefactor | |
| 504 | + if (par->attribute("name") == "Prefactor" || | |
| 505 | + par->attribute("name")=="norm") { | |
| 506 | + m_norm.read(*par); | |
| 507 | + npar[0]++; | |
| 508 | + } | |
| 509 | + | |
| 510 | + // Handle index | |
| 511 | + else if (par->attribute("name") == "Index" || | |
| 512 | + par->attribute("name")=="alpha") { | |
| 513 | + m_index.read(*par); | |
| 514 | + npar[1]++; | |
| 515 | + } | |
| 516 | + | |
| 517 | + // Handle index | |
| 518 | + else if (par->attribute("name") == "Curvature" || | |
| 519 | + par->attribute("name")=="beta") { | |
| 520 | + m_curvature.read(*par); | |
| 521 | + npar[2]++; | |
| 522 | + } | |
| 523 | + | |
| 524 | + // Handle pivot energy | |
| 525 | + else if (par->attribute("name") == "Scale" || | |
| 526 | + par->attribute("name") == "Eb") { | |
| 527 | + m_pivot.read(*par); | |
| 528 | + npar[3]++; | |
| 529 | + } | |
| 530 | + | |
| 531 | + } // endfor: looped over all parameters | |
| 532 | + | |
| 533 | + // Verify that all parameters were found | |
| 534 | + if (npar[0] != 1 || npar[1] != 1 || npar[2] != 1 || npar[3] != 1) { | |
| 535 | + throw GException::model_invalid_parnames(G_READ, xml, | |
| 536 | + "LogParabola requires \"Prefactor\" or \"norm\", \"Index\" or \"alpha\",\"Curvature\" or \"beta\" and \"Scale\" or \"Eb\" parameters."); | |
| 537 | + } | |
| 538 | + | |
| 539 | + // Return | |
| 540 | + return; | |
| 541 | +} | |
| 542 | + | |
| 543 | + | |
| 544 | +/***********************************************************************//** | |
| 545 | + * @brief Write model into XML element | |
| 546 | + * | |
| 547 | + * @param[in] xml XML element into which model information is written. | |
| 548 | + * | |
| 549 | + * @exception GException::model_invalid_spectral | |
| 550 | + * Existing XML element is not of type "LogParabola" | |
| 551 | + * @exception GException::model_invalid_parnum | |
| 552 | + * Invalid number of model parameters or nodes found in XML element. | |
| 553 | + * @exception GException::model_invalid_parnames | |
| 554 | + * Invalid model parameter names found in XML element. | |
| 555 | + * | |
| 556 | + * Write the LogParabola model information into an XML element. The XML | |
| 557 | + * element has to be of type "LogParabola" and will have 4 parameter leafs | |
| 558 | + * named "Prefactor", "Index", "Curvature" and "Scale". | |
| 559 | + ***************************************************************************/ | |
| 560 | +void GModelSpectralLogParabola::write(GXmlElement& xml) const | |
| 561 | +{ | |
| 562 | + // Set model type | |
| 563 | + if (xml.attribute("type") == "") { | |
| 564 | + xml.attribute("type", "LogParabola"); | |
| 565 | + } | |
| 566 | + | |
| 567 | + // Verify model type | |
| 568 | + if (xml.attribute("type") != "LogParabola") { | |
| 569 | + throw GException::model_invalid_spectral(G_WRITE, xml.attribute("type"), | |
| 570 | + "Spectral model is not of type \"LogParabola\"."); | |
| 571 | + } | |
| 572 | + | |
| 573 | + // If XML element has 0 nodes then append 3 parameter nodes | |
| 574 | + if (xml.elements() == 0) { | |
| 575 | + xml.append(new GXmlElement("parameter name=\"Prefactor\"")); | |
| 576 | + xml.append(new GXmlElement("parameter name=\"Index\"")); | |
| 577 | + xml.append(new GXmlElement("parameter name=\"Curvature\"")); | |
| 578 | + xml.append(new GXmlElement("parameter name=\"Scale\"")); | |
| 579 | + } | |
| 580 | + | |
| 581 | + // Verify that XML element has exactly 3 parameters | |
| 582 | + if (xml.elements() != 4 || xml.elements("parameter") != 4) { | |
| 583 | + throw GException::model_invalid_parnum(G_WRITE, xml, | |
| 584 | + "LogParabola law model requires exactly 4 parameters."); | |
| 585 | + } | |
| 586 | + | |
| 587 | + // Set or update model parameter attributes | |
| 588 | + int npar[] = {0, 0, 0,0}; | |
| 589 | + for (int i = 0; i < 4; ++i) { | |
| 590 | + | |
| 591 | + // Get parameter element | |
| 592 | + GXmlElement* par = static_cast<GXmlElement*>(xml.element("parameter", i)); | |
| 593 | + | |
| 594 | + // Handle prefactor | |
| 595 | + if (par->attribute("name") == "Prefactor"){ | |
| 596 | + npar[0]++; | |
| 597 | + m_norm.write(*par); | |
| 598 | + } | |
| 599 | + | |
| 600 | + // Handle index | |
| 601 | + else if (par->attribute("name") == "Index") { | |
| 602 | + npar[1]++; | |
| 603 | + m_index.write(*par); | |
| 604 | + } | |
| 605 | + | |
| 606 | + // Handle index | |
| 607 | + else if (par->attribute("name") == "Curvature"){ | |
| 608 | + npar[2]++; | |
| 609 | + m_curvature.write(*par); | |
| 610 | + } | |
| 611 | + | |
| 612 | + // Handle pivot energy | |
| 613 | + else if (par->attribute("name") == "Scale") { | |
| 614 | + m_pivot.write(*par); | |
| 615 | + npar[3]++; | |
| 616 | + } | |
| 617 | + | |
| 618 | + } // endfor: looped over all parameters | |
| 619 | + | |
| 620 | + // Check of all required parameters are present | |
| 621 | + if (npar[0] != 1 || npar[1] != 1 || npar[2] != 1 || npar[3] != 1) { | |
| 622 | + throw GException::model_invalid_parnames(G_WRITE, xml, | |
| 623 | + "Require \"Prefactor\", \"Index\" , \"Curvature\" and \"Scale\" parameters."); | |
| 624 | + } | |
| 625 | + | |
| 626 | + // Return | |
| 627 | + return; | |
| 628 | +} | |
| 629 | + | |
| 630 | + | |
| 631 | +/***********************************************************************//** | |
| 632 | + * @brief Print powerlaw information | |
| 633 | + ***************************************************************************/ | |
| 634 | +std::string GModelSpectralLogParabola::print(void) const | |
| 635 | +{ | |
| 636 | + // Initialise result string | |
| 637 | + std::string result; | |
| 638 | + | |
| 639 | + // Append header | |
| 640 | + result.append("=== GModelSpectralLogParabola ===\n"); | |
| 641 | + result.append(parformat("Number of parameters")+str(size())); | |
| 642 | + for (int i = 0; i < size(); ++i) { | |
| 643 | + result.append("\n"+m_pars[i]->print()); | |
| 644 | + } | |
| 645 | + | |
| 646 | + // Return result | |
| 647 | + return result; | |
| 648 | +} | |
| 649 | + | |
| 650 | + | |
| 651 | +/*========================================================================== | |
| 652 | + = = | |
| 653 | + = Private methods = | |
| 654 | + = = | |
| 655 | + ==========================================================================*/ | |
| 656 | + | |
| 657 | +/***********************************************************************//** | |
| 658 | + * @brief Initialise class members | |
| 659 | + ***************************************************************************/ | |
| 660 | +void GModelSpectralLogParabola::init_members(void) | |
| 661 | +{ | |
| 662 | + // Initialise powerlaw normalisation | |
| 663 | + m_norm.clear(); | |
| 664 | + m_norm.name("Prefactor"); | |
| 665 | + m_norm.unit("ph/cm2/s/MeV"); | |
| 666 | + m_norm.scale(1.0); | |
| 667 | + m_norm.value(1.0); // default: 1.0 | |
| 668 | + m_norm.min(0.0); // min: 0.0 | |
| 669 | + m_norm.free(); | |
| 670 | + m_norm.gradient(0.0); | |
| 671 | + m_norm.hasgrad(true); | |
| 672 | + | |
| 673 | + // Initialise powerlaw index | |
| 674 | + m_index.clear(); | |
| 675 | + m_index.name("Index"); | |
| 676 | + m_index.scale(1.0); | |
| 677 | + m_index.value(-2.0); // default: -2.0 | |
| 678 | + m_index.range(-10.0,+10.0); // range: [-10,+10] | |
| 679 | + m_index.free(); | |
| 680 | + m_index.gradient(0.0); | |
| 681 | + m_index.hasgrad(true); | |
| 682 | + | |
| 683 | + m_curvature.clear(); | |
| 684 | + m_curvature.name("Curvature"); | |
| 685 | + m_curvature.scale(1.0); | |
| 686 | + m_curvature.value(-.1); // default: -2.0 | |
| 687 | + m_curvature.range(-10.0,+10.0); // range: [-10,+10] | |
| 688 | + m_curvature.free(); | |
| 689 | + m_curvature.gradient(0.0); | |
| 690 | + m_curvature.hasgrad(true); | |
| 691 | + | |
| 692 | + // Initialise pivot energy | |
| 693 | + m_pivot.clear(); | |
| 694 | + m_pivot.name("PivotEnergy"); | |
| 695 | + m_pivot.unit("MeV"); | |
| 696 | + m_pivot.scale(1.0); | |
| 697 | + m_pivot.value(100.0); // default: 100 | |
| 698 | + m_pivot.fix(); | |
| 699 | + m_pivot.gradient(0.0); | |
| 700 | + m_pivot.hasgrad(true); | |
| 701 | + | |
| 702 | + // Set parameter pointer(s) | |
| 703 | + m_pars.clear(); | |
| 704 | + m_pars.push_back(&m_norm); | |
| 705 | + m_pars.push_back(&m_index); | |
| 706 | + m_pars.push_back(&m_curvature); | |
| 707 | + m_pars.push_back(&m_pivot); | |
| 708 | + | |
| 709 | + // Return | |
| 710 | + return; | |
| 711 | +} | |
| 712 | + | |
| 713 | + | |
| 714 | +/***********************************************************************//** | |
| 715 | + * @brief Copy class members | |
| 716 | + * | |
| 717 | + * @param[in] model GModelSpectralPlaw members which should be copied. | |
| 718 | + ***************************************************************************/ | |
| 719 | +void GModelSpectralLogParabola::copy_members(const GModelSpectralLogParabola& model) | |
| 720 | +{ | |
| 721 | + // Copy members | |
| 722 | + m_norm = model.m_norm; | |
| 723 | + m_index = model.m_index; | |
| 724 | + m_curvature = model.m_curvature; | |
| 725 | + m_pivot = model.m_pivot; | |
| 726 | + | |
| 727 | + // Set parameter pointer(s) | |
| 728 | + m_pars.clear(); | |
| 729 | + m_pars.push_back(&m_norm); | |
| 730 | + m_pars.push_back(&m_index); | |
| 731 | + m_pars.push_back(&m_curvature); | |
| 732 | + m_pars.push_back(&m_pivot); | |
| 733 | + | |
| 734 | + // Return | |
| 735 | + return; | |
| 736 | +} | |
| 737 | + | |
| 738 | + | |
| 739 | +/***********************************************************************//** | |
| 740 | + * @brief Delete class members | |
| 741 | + ***************************************************************************/ | |
| 742 | +void GModelSpectralLogParabola::free_members(void) | |
| 743 | +{ | |
| 744 | + // Return | |
| 745 | + return; | |
| 746 | +} | |
| 747 | + | |
| 748 | + | |
| 749 | +/*========================================================================== | |
| 750 | + = = | |
| 751 | + = Friends = | |
| 752 | + = = | |
| 753 | + ==========================================================================*/ | |
| 754 | + | |
| 755 | + | ... | ... |
src/model/Makefile.am