The generator for sudakov-type distributions. More...

#include <exponential_generator.h>

Inheritance diagram for exsample::exponential_generator< Function, Random >:

Public Member Functions
	exponential_generator ()
	default constructor

void	initialize ()
	initialize this generator

void	finalize ()
	finalize this generator

double	generate (double enhance=1.)
	generate an event, returning the sign of the weight or zero for an event below the evolution cutoff

double	generate (double cutoff, double enhance)
	generate an event, returning the sign of the weight or zero for an event below the evolution cutoff

const std::vector< double > &	last_point () const
	return the last sampled phase space point

double	last_value () const
	return the last evaluated function

void	reject ()
	indicate that the last generated point has been rejected

bool	initialized () const
	return true, if this generator has been initialized

bool	did_split () const
	return true, if at least one split has been performed

Function &	function ()
	access the function

void	function (Function *f)
	set the function

adaption_info &	sampling_parameters ()
	access the adaption_info object

void	docompensate (bool yes=true)
	indicate, if compensation should be applied

void	detuning (double val)
	set the detuning parameter

template<class OStream >
void	put (OStream &os) const
	put to ostream

template<class IStream >
void	get (IStream &is)
	get from istream

Private Member Functions
bool	split ()
	check for and possibly split the last selected cell

void	get_exponent ()
	get the projection of the density integrating over every variable to be sampled, except the evolution variable for the indicated parameter point.

void	compensate ()
	compensate

std::set< std::vector< double > >	parameter_points ()
	get all parameter points to build all possible sub tree hashes

void	recursive_parameter_points (std::set< std::vector< double > > &, std::vector< double > &, size_t)
	get all parameter points to build all possible sub tree hashes

Private Attributes
Function *	function_
	function to be sampled

unsigned long	check_events_
	the number of events after which a cell is checked for splits

adaption_info	adaption_info_
	the adaption info object

binary_tree< cell >	root_cell_
	the root cell

rnd_generator< Random >	rnd_gen_
	the random number generator to be used

bool	did_split_
	wether a split has already been performed

bool	initialized_
	wether this generator has been initialized

std::size_t	evolution_variable_
	the position of the evolution variable

double	evolution_cutoff_
	the cutoff on the evolution variable

std::vector< bool >	sample_variables_
	flags of variables to be sampled including the evolution variable

std::vector< bool >	sample_other_variables_
	flags of variables to be sampled excluding the evolution variable

std::map< std::size_t, std::vector< double > >	parameter_splits_
	the splits in any parameter done so far (including the evolution variable)

binary_tree< cell >::iterator	last_cell_
	the last selected cell

std::vector< double >	last_point_
	the last sampled phasespace point

double	last_value_
	the last function value

bit_container< parameter_hash_bits >	last_parameter_bin_
	the last parameter bin id

std::map< bit_container< parameter_hash_bits >, linear_interpolator >	exponents_
	map parameter bin ids to exponent interpolations

std::vector< double >	last_exponent_integrand_
	the last exponent integrand

std::map< bit_container< parameter_hash_bits >, linear_interpolator >::iterator	last_exponent_
	the last exponent

bool	compensating_
	wether or not we are compensating

integral_accessor	integral_accessor_
	the integral accessor to be used

parametric_missing_accessor	missing_accessor_
	the missing events accessor to be used

parametric_selector	parametric_selector_
	the parametric selector to be used

parametric_selector	exponent_selector_
	the parametric selector to be used for parameter bins

parametric_sampling_selector< rnd_generator< Random > >	parametric_sampler_
	the parametric sampler to be used

unsigned long	attempts_
	the number of trials in the veto loo so far

unsigned long	accepts_
	the number of accepted events so far

unsigned long	splits_
	number of splits done

bool	docompensate_
	true, if compensation should be applied

double	detuning_
	a detuning factor to be applied to the overestimate

Detailed Description

template<class Function, class Random>
class exsample::exponential_generator< Function, Random >

The generator for sudakov-type distributions.

Definition at line 28 of file exponential_generator.h.

Constructor & Destructor Documentation

◆ exponential_generator()

template<class Function , class Random >

exsample::exponential_generator< Function, Random >::exponential_generator ( )

inline

default constructor

Definition at line 33 of file exponential_generator.h.

Member Function Documentation

◆ detuning()

template<class Function , class Random >

void exsample::exponential_generator< Function, Random >::detuning ( double val )

inline

set the detuning parameter

Definition at line 111 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::detuning_.

◆ did_split()

template<class Function , class Random >

bool exsample::exponential_generator< Function, Random >::did_split ( ) const

inline

return true, if at least one split has been performed

Definition at line 96 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::did_split_.

◆ docompensate()

template<class Function , class Random >

void exsample::exponential_generator< Function, Random >::docompensate ( bool yes = true )

inline

indicate, if compensation should be applied

Definition at line 108 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::docompensate_.

◆ finalize()

template<class Function , class Random >

void exsample::exponential_generator< Function, Random >::finalize ( )

inline

finalize this generator

Definition at line 54 of file exponential_generator.h.

◆ function() [1/2]

template<class Function , class Random >

Function & exsample::exponential_generator< Function, Random >::function ( )

inline

access the function

Definition at line 99 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::function_.

◆ function() [2/2]

template<class Function , class Random >

void exsample::exponential_generator< Function, Random >::function ( Function * f )

inline

set the function

Definition at line 102 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::function_.

◆ generate()

template<class Function , class Random >

double exsample::exponential_generator< Function, Random >::generate	(	double	cutoff,
		double	enhance
	)

inline

generate an event, returning the sign of the weight or zero for an event below the evolution cutoff

Definition at line 64 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::evolution_cutoff_, and exsample::exponential_generator< Function, Random >::generate().

◆ get_exponent()

template<class Function , class Random >

void exsample::exponential_generator< Function, Random >::get_exponent ( )

private

get the projection of the density integrating over every variable to be sampled, except the evolution variable for the indicated parameter point.

the k'th entry in last_exponent_integrand_ is the value in the evolution variable bin from evolution_splits_[k] to evolution_splits_[k+1]

◆ initialized()

template<class Function , class Random >

bool exsample::exponential_generator< Function, Random >::initialized ( ) const

inline

return true, if this generator has been initialized

Definition at line 93 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::initialized_.

◆ last_point()

template<class Function , class Random >

const std::vector< double > & exsample::exponential_generator< Function, Random >::last_point ( ) const

inline

return the last sampled phase space point

Definition at line 80 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::last_point_.

◆ last_value()

template<class Function , class Random >

double exsample::exponential_generator< Function, Random >::last_value ( ) const

inline

return the last evaluated function

Definition at line 83 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::last_value_.

◆ reject()

template<class Function , class Random >

void exsample::exponential_generator< Function, Random >::reject ( )

inline

indicate that the last generated point has been rejected

Definition at line 86 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::last_cell_.

◆ sampling_parameters()

template<class Function , class Random >

adaption_info & exsample::exponential_generator< Function, Random >::sampling_parameters ( )

inline

access the adaption_info object

Definition at line 105 of file exponential_generator.h.

References exsample::exponential_generator< Function, Random >::adaption_info_.

Member Data Documentation

◆ accepts_

template<class Function , class Random >

unsigned long exsample::exponential_generator< Function, Random >::accepts_

private

the number of accepted events so far

Definition at line 233 of file exponential_generator.h.

◆ adaption_info_

template<class Function , class Random >

adaption_info exsample::exponential_generator< Function, Random >::adaption_info_

private

the adaption info object

Definition at line 158 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::sampling_parameters().

◆ attempts_

template<class Function , class Random >

unsigned long exsample::exponential_generator< Function, Random >::attempts_

private

the number of trials in the veto loo so far

Definition at line 230 of file exponential_generator.h.

◆ check_events_

template<class Function , class Random >

unsigned long exsample::exponential_generator< Function, Random >::check_events_

private

the number of events after which a cell is checked for splits

Definition at line 155 of file exponential_generator.h.

◆ compensating_

template<class Function , class Random >

bool exsample::exponential_generator< Function, Random >::compensating_

private

wether or not we are compensating

Definition at line 212 of file exponential_generator.h.

◆ detuning_

template<class Function , class Random >

double exsample::exponential_generator< Function, Random >::detuning_

private

a detuning factor to be applied to the overestimate

Definition at line 242 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::detuning().

◆ did_split_

template<class Function , class Random >

bool exsample::exponential_generator< Function, Random >::did_split_

private

wether a split has already been performed

Definition at line 167 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::did_split().

◆ docompensate_

template<class Function , class Random >

bool exsample::exponential_generator< Function, Random >::docompensate_

private

true, if compensation should be applied

Definition at line 239 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::docompensate().

◆ evolution_cutoff_

template<class Function , class Random >

double exsample::exponential_generator< Function, Random >::evolution_cutoff_

private

the cutoff on the evolution variable

Definition at line 176 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::generate().

◆ evolution_variable_

template<class Function , class Random >

std::size_t exsample::exponential_generator< Function, Random >::evolution_variable_

private

the position of the evolution variable

Definition at line 173 of file exponential_generator.h.

◆ exponent_selector_

template<class Function , class Random >

parametric_selector exsample::exponential_generator< Function, Random >::exponent_selector_

private

the parametric selector to be used for parameter bins

Definition at line 224 of file exponential_generator.h.

◆ exponents_

template<class Function , class Random >

std::map<bit_container<parameter_hash_bits>,linear_interpolator > exsample::exponential_generator< Function, Random >::exponents_

private

map parameter bin ids to exponent interpolations

Definition at line 203 of file exponential_generator.h.

◆ function_

template<class Function , class Random >

Function* exsample::exponential_generator< Function, Random >::function_

private

function to be sampled

Definition at line 151 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::function().

◆ initialized_

template<class Function , class Random >

bool exsample::exponential_generator< Function, Random >::initialized_

private

wether this generator has been initialized

Definition at line 170 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::initialized().

◆ integral_accessor_

template<class Function , class Random >

integral_accessor exsample::exponential_generator< Function, Random >::integral_accessor_

private

the integral accessor to be used

Definition at line 215 of file exponential_generator.h.

◆ last_cell_

template<class Function , class Random >

binary_tree<cell>::iterator exsample::exponential_generator< Function, Random >::last_cell_

private

the last selected cell

Definition at line 191 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::reject().

◆ last_exponent_

template<class Function , class Random >

std::map<bit_container<parameter_hash_bits>,linear_interpolator>::iterator exsample::exponential_generator< Function, Random >::last_exponent_

private

the last exponent

Definition at line 209 of file exponential_generator.h.

◆ last_exponent_integrand_

template<class Function , class Random >

std::vector<double> exsample::exponential_generator< Function, Random >::last_exponent_integrand_

private

the last exponent integrand

Definition at line 206 of file exponential_generator.h.

◆ last_parameter_bin_

template<class Function , class Random >

bit_container<parameter_hash_bits> exsample::exponential_generator< Function, Random >::last_parameter_bin_

private

the last parameter bin id

Definition at line 200 of file exponential_generator.h.

◆ last_point_

template<class Function , class Random >

std::vector<double> exsample::exponential_generator< Function, Random >::last_point_

private

the last sampled phasespace point

Definition at line 194 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::last_point().

◆ last_value_

template<class Function , class Random >

double exsample::exponential_generator< Function, Random >::last_value_

private

the last function value

Definition at line 197 of file exponential_generator.h.

Referenced by exsample::exponential_generator< Function, Random >::last_value().

◆ missing_accessor_

template<class Function , class Random >

parametric_missing_accessor exsample::exponential_generator< Function, Random >::missing_accessor_

private

the missing events accessor to be used

Definition at line 218 of file exponential_generator.h.

◆ parameter_splits_

template<class Function , class Random >

std::map<std::size_t,std::vector<double> > exsample::exponential_generator< Function, Random >::parameter_splits_

private

the splits in any parameter done so far (including the evolution variable)

Definition at line 188 of file exponential_generator.h.

◆ parametric_sampler_

template<class Function , class Random >

parametric_sampling_selector<rnd_generator<Random> > exsample::exponential_generator< Function, Random >::parametric_sampler_

private

the parametric sampler to be used

Definition at line 227 of file exponential_generator.h.

◆ parametric_selector_

template<class Function , class Random >

parametric_selector exsample::exponential_generator< Function, Random >::parametric_selector_

private

the parametric selector to be used

Definition at line 221 of file exponential_generator.h.

◆ rnd_gen_

template<class Function , class Random >

rnd_generator<Random> exsample::exponential_generator< Function, Random >::rnd_gen_

private

the random number generator to be used

Definition at line 164 of file exponential_generator.h.

◆ root_cell_

template<class Function , class Random >

binary_tree<cell> exsample::exponential_generator< Function, Random >::root_cell_

private

the root cell

Definition at line 161 of file exponential_generator.h.

◆ sample_other_variables_

template<class Function , class Random >

std::vector<bool> exsample::exponential_generator< Function, Random >::sample_other_variables_

private

flags of variables to be sampled excluding the evolution variable

Definition at line 184 of file exponential_generator.h.

◆ sample_variables_

template<class Function , class Random >

std::vector<bool> exsample::exponential_generator< Function, Random >::sample_variables_

private

flags of variables to be sampled including the evolution variable

Definition at line 180 of file exponential_generator.h.

◆ splits_

template<class Function , class Random >

unsigned long exsample::exponential_generator< Function, Random >::splits_

private

number of splits done

Definition at line 236 of file exponential_generator.h.

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

exponential_generator.h

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ exponential_generator()

Member Function Documentation

◆ detuning()

◆ did_split()

◆ docompensate()

◆ finalize()

◆ function() [1/2]

◆ function() [2/2]

◆ generate()

◆ get_exponent()

◆ initialized()

◆ last_point()

◆ last_value()

◆ reject()

◆ sampling_parameters()

Member Data Documentation

◆ accepts_

◆ adaption_info_

◆ attempts_

◆ check_events_

◆ compensating_

◆ detuning_

◆ did_split_

◆ docompensate_

◆ evolution_cutoff_

◆ evolution_variable_

◆ exponent_selector_

◆ exponents_

◆ function_

◆ initialized_

◆ integral_accessor_

◆ last_cell_

◆ last_exponent_

◆ last_exponent_integrand_

◆ last_parameter_bin_

◆ last_point_

◆ last_value_

◆ missing_accessor_

◆ parameter_splits_

◆ parametric_sampler_

◆ parametric_selector_

◆ rnd_gen_

◆ root_cell_

◆ sample_other_variables_

◆ sample_variables_

◆ splits_