LogParabola spectral model class. More...

#include <GModelSpectralLogParabola.hpp>

Inheritance diagram for GModelSpectralLogParabola:

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 GModelSpectralLogParabola &	operator= (const GModelSpectralLogParabola &model)
	Assignment operator. More...

virtual void	clear (void)
	Clear log parabola model. More...

virtual GModelSpectralLogParabola *	clone (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 GModelSpectral &	operator= (const GModelSpectral &model)
	Assignment operator. More...

virtual GModelPar &	operator[] (const int &index)
	Returns model parameter. More...

virtual const GModelPar &	operator[] (const int &index) const
	Returns model parameter (const version) More...

virtual GModelPar &	operator[] (const std::string &name)
	Returns reference to model parameter. More...

virtual const GModelPar &	operator[] (const std::string &name) const
	Returns reference to model parameter (const version) More...

GModelPar &	at (const int &index)
	Returns model parameter. More...

const GModelPar &	at (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]	type	Model type.
[in]	prefactor	Name of prefactor parameter.
[in]	index	Name of index parameter.
[in]	pivot	Name of pivot parameter.
[in]	curvature	Name 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]	prefactor	Power law pre factor.
[in]	index	Power law index.
[in]	pivot	Pivot energy.
[in]	curvature	Curvature.

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] xml XML 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] model LogParabola 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

Copy class members.

Parameters

[in] model GModelSpectralLogParabola members which should be copied.

Definition at line 772 of file GModelSpectralLogParabola.cpp.

References 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_mc_emax, m_mc_emin, m_mc_exponent, m_mc_norm, m_mc_pow_emin, m_mc_pow_ewidth, m_norm, GModelSpectral::m_pars, m_pivot, and m_type.

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

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] curvature Spectral 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]	emin	Minimum photon energy.
[in]	emax	Maximum 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]	srcEng	True photon energy.
[in]	srcTime	True photon arrival time.
[in]	gradients	Compute 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]	emin	Minimum photon energy.
[in]	emax	Maximum 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 814 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] index Spectral index.

Sets the spectral index.

Definition at line 288 of file GModelSpectralLogParabola.hpp.

References m_index, and GOptimizerPar::value().

void GModelSpectralLogParabola::init_members ( void )

protected

Initialise class members.

Definition at line 691 of file GModelSpectralLogParabola.cpp.

References GEnergy::clear(), GOptimizerPar::clear(), GOptimizerPar::fix(), GOptimizerPar::free(), GOptimizerPar::gradient(), GOptimizerPar::has_grad(), 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_mc_emax, m_mc_emin, m_mc_exponent, m_mc_norm, m_mc_pow_emin, m_mc_pow_ewidth, m_norm, GModelSpectral::m_pars, m_pivot, m_type, GOptimizerPar::min(), GOptimizerPar::name(), GOptimizerPar::range(), GOptimizerPar::scale(), GOptimizerPar::unit(), and GOptimizerPar::value().

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

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]	emin	Minimum photon energy.
[in]	emax	Maximum photon energy.
[in]	time	True photon arrival time.
[in,out]	ran	Random number generator.

Returns: Energy.

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

Implements GModelSpectral.

Definition at line 500 of file GModelSpectralLogParabola.cpp.

References gammalib::check_energy_interval(), 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] model LogParabola 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] pivot Pivot 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] prefactor Pre 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] chatter Chattiness (defaults to NORMAL).

Returns: String containing LogParabola information.

Implements GModelSpectral.

Definition at line 657 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] xml XML element.

Read the spectral log parabola information from an XML element.

Implements GModelSpectral.

Definition at line 574 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_check_parnum(), 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] type Model 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] energy Energy.

Updates the precomputation cache for eval() method.

Definition at line 828 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]	emin	Minimum photon energy.
[in]	emax	Maximum photon energy.
[in]	time	True photon arrival time.

Updates the precomputation cache for Monte Carlo simulations.

Definition at line 872 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] xml XML element.

Write the LogParabola model information into an XML element.

Implements GModelSpectral.

Definition at line 615 of file GModelSpectralLogParabola.cpp.

References 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(), gammalib::xml_check_type(), and gammalib::xml_need_par().

Member Data Documentation

GModelPar GModelSpectralLogParabola::m_curvature

protected

Curvature.

Definition at line 173 of file GModelSpectralLogParabola.hpp.

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

GModelPar GModelSpectralLogParabola::m_index

protected

Spectral index.

Definition at line 172 of file GModelSpectralLogParabola.hpp.

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

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

Pivot energy.

Definition at line 174 of file GModelSpectralLogParabola.hpp.

Referenced by copy_members(), eval(), GModelSpectralLogParabola(), init_members(), mc(), pivot(), read(), update_eval_cache(), update_mc_cache(), and write().

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:

include/GModelSpectralLogParabola.hpp
src/model/GModelSpectralLogParabola.cpp

Classes

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation