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GModelSpectralLogParabola Class Reference

LogParabola spectral model class. More...

#include <GModelSpectralLogParabola.hpp>

Inheritance diagram for GModelSpectralLogParabola:
GModelSpectral GBase

Classes

class  eflux_kern
 
class  flux_kern
 

Public Member Functions

 GModelSpectralLogParabola (void)
 Void constructor. More...
 
 GModelSpectralLogParabola (const std::string &type, const std::string &prefactor, const std::string &index, const std::string &pivot, const std::string &curvature)
 Model type and parameter name constructor. More...
 
 GModelSpectralLogParabola (const double &prefactor, const double &index, const GEnergy &pivot, const double &curvature)
 Constructor. More...
 
 GModelSpectralLogParabola (const GXmlElement &xml)
 XML constructor. More...
 
 GModelSpectralLogParabola (const GModelSpectralLogParabola &model)
 Copy constructor. More...
 
virtual ~GModelSpectralLogParabola (void)
 Destructor. More...
 
virtual GModelSpectralLogParabolaoperator= (const GModelSpectralLogParabola &model)
 Assignment operator. More...
 
virtual void clear (void)
 Clear log parabola model. More...
 
virtual GModelSpectralLogParabolaclone (void) const
 Clone log parabola model. More...
 
virtual std::string classname (void) const
 Return class name. More...
 
virtual std::string type (void) const
 Return model type. More...
 
virtual double eval (const GEnergy &srcEng, const GTime &srcTime=GTime(), const bool &gradients=false) const
 Evaluate model. More...
 
virtual double flux (const GEnergy &emin, const GEnergy &emax) const
 Returns model photon flux between emin, emax More...
 
virtual double eflux (const GEnergy &emin, const GEnergy &emax) const
 Returns model energy flux between emin, emax More...
 
virtual GEnergy mc (const GEnergy &emin, const GEnergy &emax, const GTime &time, GRan &ran) const
 Returns Monte Carlo energy between [emin, emax]. More...
 
virtual void read (const GXmlElement &xml)
 Read model from XML element. More...
 
virtual void write (GXmlElement &xml) const
 Write model into XML element. More...
 
virtual std::string print (const GChatter &chatter=NORMAL) const
 Print LogParabola information. More...
 
void type (const std::string &type)
 Set model type. More...
 
double prefactor (void) const
 Return pre factor. More...
 
void prefactor (const double &prefactor)
 Set pre factor. More...
 
double index (void) const
 Return spectral index. More...
 
void index (const double &index)
 Set spectral index. More...
 
double curvature (void) const
 Return spectral curvature. More...
 
void curvature (const double &curvature)
 Set spectral curvature. More...
 
GEnergy pivot (void) const
 Return pivot energy. More...
 
void pivot (const GEnergy &pivot)
 Set pivot energy. More...
 
- Public Member Functions inherited from GModelSpectral
 GModelSpectral (void)
 Void constructor. More...
 
 GModelSpectral (const GModelSpectral &model)
 Copy constructor. More...
 
virtual ~GModelSpectral (void)
 Destructor. More...
 
virtual GModelSpectraloperator= (const GModelSpectral &model)
 Assignment operator. More...
 
virtual GModelParoperator[] (const int &index)
 Returns model parameter. More...
 
virtual const GModelParoperator[] (const int &index) const
 Returns model parameter (const version) More...
 
virtual GModelParoperator[] (const std::string &name)
 Returns reference to model parameter. More...
 
virtual const GModelParoperator[] (const std::string &name) const
 Returns reference to model parameter (const version) More...
 
GModelParat (const int &index)
 Returns model parameter. More...
 
const GModelParat (const int &index) const
 Returns model parameter (const version) More...
 
bool has_par (const std::string &name) const
 Checks if parameter name exists. More...
 
int size (void) const
 Return number of parameters. More...
 
void autoscale (void)
 Autoscale parameters. More...
 
- Public Member Functions inherited from GBase
virtual ~GBase (void)
 Destructor. More...
 

Protected Member Functions

void init_members (void)
 Initialise class members. More...
 
void copy_members (const GModelSpectralLogParabola &model)
 Copy class members. More...
 
void free_members (void)
 Delete class members. More...
 
void update_eval_cache (const GEnergy &energy) const
 Update eval precomputation cache. More...
 
void update_mc_cache (const GEnergy &emin, const GEnergy &emax, const GTime &time) const
 Update Monte Carlo pre computation cache. More...
 
- Protected Member Functions inherited from GModelSpectral
void init_members (void)
 Initialise class members. More...
 
void copy_members (const GModelSpectral &model)
 Copy class members. More...
 
void free_members (void)
 Delete class members. More...
 

Protected Attributes

std::string m_type
 Model type. More...
 
GModelPar m_norm
 Normalization factor. More...
 
GModelPar m_index
 Spectral index. More...
 
GModelPar m_curvature
 Curvature. More...
 
GModelPar m_pivot
 Pivot energy. More...
 
GEnergy m_last_energy
 Last energy value. More...
 
double m_last_index
 Last index parameter. More...
 
double m_last_curvature
 Last curvature parameters. More...
 
double m_last_pivot
 Last pivot parameter. More...
 
double m_last_e_norm
 Last E/Epivot value. More...
 
double m_last_log_e_norm
 Last ln(E/Epivot) value. More...
 
double m_last_exponent
 Last exponent. More...
 
double m_last_power
 Last power value. More...
 
double m_mc_emin
 Minimum energy. More...
 
double m_mc_emax
 Maximum energy. More...
 
double m_mc_exponent
 Exponent (index+1) More...
 
double m_mc_pow_emin
 Power of minimum energy. More...
 
double m_mc_pow_ewidth
 Power of energy width. More...
 
double m_mc_norm
 Norm of powerlaw model at logparabola pivot energy. More...
 
- Protected Attributes inherited from GModelSpectral
std::vector< GModelPar * > m_pars
 Parameter pointers. More...
 

Detailed Description

LogParabola spectral model class.

This class implements a log parabola spectrum. The spectrum is defined by

\[ S_{\rm E}(E | t) = {\tt m\_norm} \left( \frac{E}{\tt m\_pivot} \right)^{{\tt m\_index} + {\tt m\_curvature} \, \ln \frac{E}{\tt m\_pivot}} \]

where

  • \({\tt m\_norm}\) is the normalization or prefactor,
  • \({\tt m\_index}\) is the spectral index,
  • \({\tt m\_curvature}\) is the spectral curvature, and
  • \({\tt m\_pivot}\) is the pivot energy.

Definition at line 64 of file GModelSpectralLogParabola.hpp.

Constructor & Destructor Documentation

GModelSpectralLogParabola::GModelSpectralLogParabola ( void  )

Void constructor.

Definition at line 87 of file GModelSpectralLogParabola.cpp.

References init_members().

Referenced by clone().

GModelSpectralLogParabola::GModelSpectralLogParabola ( const std::string &  type,
const std::string &  prefactor,
const std::string &  index,
const std::string &  pivot,
const std::string &  curvature 
)

Model type and parameter name constructor.

Parameters
[in]typeModel type.
[in]prefactorName of prefactor parameter.
[in]indexName of index parameter.
[in]pivotName of pivot parameter.
[in]curvatureName of curvature parameter.

Definition at line 106 of file GModelSpectralLogParabola.cpp.

References init_members(), m_curvature, m_index, m_norm, m_pivot, m_type, GOptimizerPar::name(), and type().

GModelSpectralLogParabola::GModelSpectralLogParabola ( const double &  prefactor,
const double &  index,
const GEnergy pivot,
const double &  curvature 
)

Constructor.

Parameters
[in]prefactorPower law pre factor.
[in]indexPower law index.
[in]pivotPivot energy.
[in]curvatureCurvature.

Construct a LogParabola model from

  • a pre factor (in ph/cm2/s/MeV),
  • a spectral index,
  • a pivot energy, and
  • a curvature.

Definition at line 144 of file GModelSpectralLogParabola.cpp.

References GModelSpectral::autoscale(), init_members(), m_curvature, m_index, m_norm, m_pivot, GEnergy::MeV(), and GOptimizerPar::value().

GModelSpectralLogParabola::GModelSpectralLogParabola ( const GXmlElement xml)
explicit

XML constructor.

Parameters
[in]xmlXML element.

Constructs log parabola spectral model by extracting information from an XML element. See the read() method for more information about the expected structure of the XML element.

Definition at line 176 of file GModelSpectralLogParabola.cpp.

References init_members(), and read().

GModelSpectralLogParabola::GModelSpectralLogParabola ( const GModelSpectralLogParabola model)

Copy constructor.

Parameters
[in]modelLogParabola model.

Definition at line 195 of file GModelSpectralLogParabola.cpp.

References copy_members(), and init_members().

GModelSpectralLogParabola::~GModelSpectralLogParabola ( void  )
virtual

Destructor.

Definition at line 212 of file GModelSpectralLogParabola.cpp.

References free_members().

Member Function Documentation

std::string GModelSpectralLogParabola::classname ( void  ) const
inlinevirtual

Return class name.

Returns
String containing the class name ("GModelSpectralLogParabola").

Implements GModelSpectral.

Definition at line 202 of file GModelSpectralLogParabola.hpp.

void GModelSpectralLogParabola::clear ( void  )
virtual

Clear log parabola model.

Implements GModelSpectral.

Definition at line 267 of file GModelSpectralLogParabola.cpp.

References GModelSpectral::free_members(), free_members(), GModelSpectral::init_members(), and init_members().

GModelSpectralLogParabola * GModelSpectralLogParabola::clone ( void  ) const
virtual

Clone log parabola model.

Returns
Pointer to deep copy of log parabola spectrum.

Implements GModelSpectral.

Definition at line 287 of file GModelSpectralLogParabola.cpp.

References GModelSpectralLogParabola().

void GModelSpectralLogParabola::copy_members ( const GModelSpectralLogParabola model)
protected
double GModelSpectralLogParabola::curvature ( void  ) const
inline

Return spectral curvature.

Returns
Spectral curvature.

Returns the spectral curvature.

Definition at line 303 of file GModelSpectralLogParabola.hpp.

References m_curvature, and GOptimizerPar::value().

Referenced by eflux(), flux(), mc(), read(), update_eval_cache(), update_mc_cache(), and write().

void GModelSpectralLogParabola::curvature ( const double &  curvature)
inline

Set spectral curvature.

Parameters
[in]curvatureSpectral curvature.

Sets the spectral curvature.

Definition at line 317 of file GModelSpectralLogParabola.hpp.

References m_curvature, and GOptimizerPar::value().

double GModelSpectralLogParabola::eflux ( const GEnergy emin,
const GEnergy emax 
) const
virtual

Returns model energy flux between emin, emax

Parameters
[in]eminMinimum photon energy.
[in]emaxMaximum photon energy.
Returns
Energy flux (erg/cm2/s).

Computes

\[ \int_{\tt emin}^{\tt emax} S_{\rm E}(E | t) E \, dE \]

where

  • [emin, emax] is an energy interval, and
  • \(S_{\rm E}(E | t)\) is the spectral model (ph/cm2/s/MeV). The integration is done numerically.

Implements GModelSpectral.

Definition at line 458 of file GModelSpectralLogParabola.cpp.

References curvature(), GIntegral::eps(), index(), GEnergy::MeV(), gammalib::MeV2erg, pivot(), prefactor(), and GIntegral::romberg().

double GModelSpectralLogParabola::eval ( const GEnergy srcEng,
const GTime srcTime = GTime(),
const bool &  gradients = false 
) const
virtual

Evaluate model.

Parameters
[in]srcEngTrue photon energy.
[in]srcTimeTrue photon arrival time.
[in]gradientsCompute gradients?
Returns
Model value (ph/cm2/s/MeV).

Computes

\[ S_{\rm E}(E | t) = {\tt m\_norm} \left( \frac{E}{\tt m\_pivot} \right)^{{\tt m\_index} + {\tt m\_curvature} \, \ln \frac{E}{\tt m\_pivot}} \]

where

  • \({\tt m\_norm}\) is the normalization or prefactor,
  • \({\tt m\_index}\) is the spectral index,
  • \({\tt m\_curvature}\) is the spectral curvature, and
  • \({\tt m\_pivot}\) is the pivot energy.

If the gradients flag is true the method will also compute the partial derivatives of the model with respect to the parameters using

\[ \frac{\delta S_{\rm E}(E | t)}{\delta {\tt m\_norm}} = \frac{S_{\rm E}(E | t)}{{\tt m\_norm}} \]

\[ \frac{\delta S_{\rm E}(E | t)}{\delta {\tt m\_index}} = S_{\rm E}(E | t) \, \ln(E/{\tt m_pivot}) \]

\[ \frac{\delta S_{\rm E}(E | t)}{\delta {\tt m\_curvature}} = S_{\rm E}(E | t) \, (\ln(E/{\tt m_pivot})^2) \]

\[ \frac{\delta S_{\rm E}(E | t)}{\delta {\tt m\_pivot}} = -S_{\rm E}(E | t) \, \left( \frac{2 {\tt m\_curvature} \ln(E/{\tt m_pivot}) + {\tt m\_index}} {{\tt m\_pivot}} \right) \]

Todo:
The method expects that energy!=0. Otherwise Inf or NaN may result.

Implements GModelSpectral.

Definition at line 343 of file GModelSpectralLogParabola.cpp.

References GOptimizerPar::factor_gradient(), GOptimizerPar::factor_value(), GOptimizerPar::is_free(), gammalib::is_infinite(), gammalib::is_notanumber(), m_curvature, m_index, m_last_exponent, m_last_log_e_norm, m_last_power, m_norm, m_pivot, GOptimizerPar::scale(), update_eval_cache(), and GOptimizerPar::value().

Referenced by update_mc_cache().

double GModelSpectralLogParabola::flux ( const GEnergy emin,
const GEnergy emax 
) const
virtual

Returns model photon flux between emin, emax

Parameters
[in]eminMinimum photon energy.
[in]emaxMaximum photon energy.
Returns
Photon flux (ph/cm2/s).

Computes

\[ \int_{\tt emin}^{\tt emax} S_{\rm E}(E | t) dE \]

where

  • [emin, emax] is an energy interval, and
  • \(S_{\rm E}(E | t)\) is the spectral model (ph/cm2/s/MeV). The integration is done numerically.

Implements GModelSpectral.

Definition at line 412 of file GModelSpectralLogParabola.cpp.

References curvature(), GIntegral::eps(), index(), GEnergy::MeV(), pivot(), prefactor(), and GIntegral::romberg().

void GModelSpectralLogParabola::free_members ( void  )
protected

Delete class members.

Definition at line 827 of file GModelSpectralLogParabola.cpp.

Referenced by clear(), operator=(), and ~GModelSpectralLogParabola().

double GModelSpectralLogParabola::index ( void  ) const
inline

Return spectral index.

Returns
Spectral index.

Returns the spectral index.

Definition at line 274 of file GModelSpectralLogParabola.hpp.

References m_index, and GOptimizerPar::value().

Referenced by eflux(), flux(), mc(), read(), update_eval_cache(), update_mc_cache(), and write().

void GModelSpectralLogParabola::index ( const double &  index)
inline

Set spectral index.

Parameters
[in]indexSpectral index.

Sets the spectral index.

Definition at line 288 of file GModelSpectralLogParabola.hpp.

References m_index, and GOptimizerPar::value().

GEnergy GModelSpectralLogParabola::mc ( const GEnergy emin,
const GEnergy emax,
const GTime time,
GRan ran 
) const
virtual

Returns Monte Carlo energy between [emin, emax].

Parameters
[in]eminMinimum photon energy.
[in]emaxMaximum photon energy.
[in]timeTrue photon arrival time.
[in,out]ranRandom number generator.
Returns
Energy.
Exceptions
GException::erange_invalidEnergy range is invalid (emin < emax required).

Returns Monte Carlo energy by randomly drawing from the spectral model.

Implements GModelSpectral.

Definition at line 503 of file GModelSpectralLogParabola.cpp.

References curvature(), exp(), G_MC, index(), log(), m_mc_exponent, m_mc_norm, m_mc_pow_emin, m_mc_pow_ewidth, m_pivot, GEnergy::MeV(), pow(), prefactor(), GRan::uniform(), update_mc_cache(), and GOptimizerPar::value().

GModelSpectralLogParabola & GModelSpectralLogParabola::operator= ( const GModelSpectralLogParabola model)
virtual

Assignment operator.

Parameters
[in]modelLogParabola model.
Returns
LogParabola model.

Definition at line 234 of file GModelSpectralLogParabola.cpp.

References copy_members(), free_members(), init_members(), and GModelSpectral::operator=().

GEnergy GModelSpectralLogParabola::pivot ( void  ) const
inline

Return pivot energy.

Returns
Pivot energy.

Returns the pivot energy.

Definition at line 332 of file GModelSpectralLogParabola.hpp.

References m_pivot, GEnergy::MeV(), and GOptimizerPar::value().

Referenced by eflux(), flux(), read(), update_eval_cache(), and write().

void GModelSpectralLogParabola::pivot ( const GEnergy pivot)
inline

Set pivot energy.

Parameters
[in]pivotPivot energy.

Sets the pivot energy.

Definition at line 348 of file GModelSpectralLogParabola.hpp.

References m_pivot, GEnergy::MeV(), and GOptimizerPar::value().

double GModelSpectralLogParabola::prefactor ( void  ) const
inline

Return pre factor.

Returns
Pre factor (ph/cm2/s/MeV).

Returns the pre factor.

Definition at line 245 of file GModelSpectralLogParabola.hpp.

References m_norm, and GOptimizerPar::value().

Referenced by eflux(), flux(), mc(), and update_mc_cache().

void GModelSpectralLogParabola::prefactor ( const double &  prefactor)
inline

Set pre factor.

Parameters
[in]prefactorPre factor (ph/cm2/s/MeV).

Sets the pre factor.

Definition at line 259 of file GModelSpectralLogParabola.hpp.

References m_norm, and GOptimizerPar::value().

std::string GModelSpectralLogParabola::print ( const GChatter chatter = NORMAL) const
virtual

Print LogParabola information.

Parameters
[in]chatterChattiness (defaults to NORMAL).
Returns
String containing LogParabola information.

Implements GModelSpectral.

Definition at line 670 of file GModelSpectralLogParabola.cpp.

References GModelSpectral::m_pars, gammalib::parformat(), SILENT, GModelSpectral::size(), and gammalib::str().

void GModelSpectralLogParabola::read ( const GXmlElement xml)
virtual

Read model from XML element.

Parameters
[in]xmlXML element.

Read the spectral log parabola information from an XML element.

Implements GModelSpectral.

Definition at line 579 of file GModelSpectralLogParabola.cpp.

References curvature(), G_READ, index(), m_curvature, m_index, m_norm, m_pivot, GOptimizerPar::max(), GOptimizerPar::min(), GOptimizerPar::name(), norm(), pivot(), GModelPar::read(), GOptimizerPar::value(), gammalib::xml_get_par(), and gammalib::xml_has_par().

Referenced by GModelSpectralLogParabola().

std::string GModelSpectralLogParabola::type ( void  ) const
inlinevirtual

Return model type.

Returns
Model type.

Returns the type of the log parabola spectral model.

Implements GModelSpectral.

Definition at line 216 of file GModelSpectralLogParabola.hpp.

References m_type.

Referenced by GModelSpectralLogParabola(), type(), and write().

void GModelSpectralLogParabola::type ( const std::string &  type)
inline

Set model type.

Parameters
[in]typeModel type.

Set the type of the log parabola spectral model.

Definition at line 230 of file GModelSpectralLogParabola.hpp.

References m_type, and type().

void GModelSpectralLogParabola::update_eval_cache ( const GEnergy energy) const
protected

Update eval precomputation cache.

Parameters
[in]energyEnergy.

Updates the precomputation cache for eval() method.

Definition at line 841 of file GModelSpectralLogParabola.cpp.

References curvature(), index(), log(), m_curvature, m_index, m_last_curvature, m_last_e_norm, m_last_energy, m_last_exponent, m_last_index, m_last_log_e_norm, m_last_pivot, m_last_power, m_pivot, GEnergy::MeV(), pivot(), pow(), and GOptimizerPar::value().

Referenced by eval().

void GModelSpectralLogParabola::update_mc_cache ( const GEnergy emin,
const GEnergy emax,
const GTime time 
) const
protected

Update Monte Carlo pre computation cache.

Parameters
[in]eminMinimum photon energy.
[in]emaxMaximum photon energy.
[in]timeTrue photon arrival time.

Updates the precomputation cache for Monte Carlo simulations.

Definition at line 885 of file GModelSpectralLogParabola.cpp.

References curvature(), eval(), index(), log(), m_mc_emax, m_mc_emin, m_mc_exponent, m_mc_norm, m_mc_pow_emin, m_mc_pow_ewidth, m_pivot, GEnergy::MeV(), pow(), prefactor(), and GOptimizerPar::value().

Referenced by mc().

void GModelSpectralLogParabola::write ( GXmlElement xml) const
virtual

Write model into XML element.

Parameters
[in]xmlXML element.
Exceptions
GException::model_invalid_spectralExisting XML element is not of type "LogParabola"

Write the LogParabola model information into an XML element.

Implements GModelSpectral.

Definition at line 620 of file GModelSpectralLogParabola.cpp.

References GXmlElement::attribute(), curvature(), G_WRITE, index(), m_curvature, m_index, m_norm, m_pivot, GOptimizerPar::max(), GOptimizerPar::min(), GOptimizerPar::name(), norm(), pivot(), type(), GOptimizerPar::value(), GModelPar::write(), and gammalib::xml_need_par().

Member Data Documentation

GModelPar GModelSpectralLogParabola::m_curvature
protected
GModelPar GModelSpectralLogParabola::m_index
protected
double GModelSpectralLogParabola::m_last_curvature
mutableprotected

Last curvature parameters.

Definition at line 179 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), and update_eval_cache().

double GModelSpectralLogParabola::m_last_e_norm
mutableprotected

Last E/Epivot value.

Definition at line 181 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), and update_eval_cache().

GEnergy GModelSpectralLogParabola::m_last_energy
mutableprotected

Last energy value.

Definition at line 177 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), and update_eval_cache().

double GModelSpectralLogParabola::m_last_exponent
mutableprotected

Last exponent.

Definition at line 183 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), eval(), init_members(), and update_eval_cache().

double GModelSpectralLogParabola::m_last_index
mutableprotected

Last index parameter.

Definition at line 178 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), and update_eval_cache().

double GModelSpectralLogParabola::m_last_log_e_norm
mutableprotected

Last ln(E/Epivot) value.

Definition at line 182 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), eval(), init_members(), and update_eval_cache().

double GModelSpectralLogParabola::m_last_pivot
mutableprotected

Last pivot parameter.

Definition at line 180 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), and update_eval_cache().

double GModelSpectralLogParabola::m_last_power
mutableprotected

Last power value.

Definition at line 184 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), eval(), init_members(), and update_eval_cache().

double GModelSpectralLogParabola::m_mc_emax
mutableprotected

Maximum energy.

Definition at line 188 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), and update_mc_cache().

double GModelSpectralLogParabola::m_mc_emin
mutableprotected

Minimum energy.

Definition at line 187 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), and update_mc_cache().

double GModelSpectralLogParabola::m_mc_exponent
mutableprotected

Exponent (index+1)

Definition at line 189 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), mc(), and update_mc_cache().

double GModelSpectralLogParabola::m_mc_norm
mutableprotected

Norm of powerlaw model at logparabola pivot energy.

Definition at line 192 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), mc(), and update_mc_cache().

double GModelSpectralLogParabola::m_mc_pow_emin
mutableprotected

Power of minimum energy.

Definition at line 190 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), mc(), and update_mc_cache().

double GModelSpectralLogParabola::m_mc_pow_ewidth
mutableprotected

Power of energy width.

Definition at line 191 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), init_members(), mc(), and update_mc_cache().

GModelPar GModelSpectralLogParabola::m_norm
protected

Normalization factor.

Definition at line 171 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), eval(), GModelSpectralLogParabola(), init_members(), prefactor(), read(), and write().

GModelPar GModelSpectralLogParabola::m_pivot
protected
std::string GModelSpectralLogParabola::m_type
protected

Model type.

Definition at line 170 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), GModelSpectralLogParabola(), init_members(), and type().


The documentation for this class was generated from the following files: