beta function interface More...

#include <betafunction.hpp>

Inheritance diagram for flexiblesusy::Beta_function:

Collaboration diagram for flexiblesusy::Beta_function:

Public Member Functions
virtual Eigen::ArrayXd	beta () const =0

	Beta_function ()=default

	Beta_function (Beta_function &&)=default

	Beta_function (const Beta_function &)=default

virtual Eigen::ArrayXd	get () const =0

int	get_loops () const

int	get_number_of_parameters () const

double	get_scale () const

int	get_thresholds () const

double	get_zero_threshold () const

Beta_function &	operator= (Beta_function &&)=default

Beta_function &	operator= (const Beta_function &)=default

void	reset ()

virtual void	run (double, double, double eps=-1.0)

virtual void	run_to (double, double eps=-1.0)

virtual void	set (const Eigen::ArrayXd &)=0

void	set_loops (int l)

void	set_number_of_parameters (int pars)

void	set_scale (double s)

void	set_thresholds (int t)

void	set_zero_threshold (double t)

virtual	~Beta_function ()=default

Private Member Functions
Eigen::ArrayXd	derivatives (double, const Eigen::ArrayXd &)

double	get_tolerance (double eps) const

Private Attributes
int	loops {0}
	to what loop order does the RG evolution run More...

double	min_tolerance {1.e-11}
	minimum tolerance allowed More...

int	num_pars {0}
	number of parameters More...

double	scale {0.}
	current renormalization scale More...

int	thresholds {0}
	threshold correction loop order More...

double	tolerance {1.e-4}
	running tolerance More...

double	zero_threshold {1.e-11}
	threshold for treating values as zero More...

Detailed Description

beta function interface

Beta_function is the abstract base class for the beta functions of the parameter classes of the generated models. It defines the basic RG running interface. The run() and run_to() functions use the Runge-Kutta algorithm to integrate the RGEs up to a given scale.

Definition at line 41 of file betafunction.hpp.

Constructor & Destructor Documentation

◆ Beta_function() [1/3]

flexiblesusy::Beta_function::Beta_function ( )

default

◆ Beta_function() [2/3]

flexiblesusy::Beta_function::Beta_function ( const Beta_function & )

default

◆ Beta_function() [3/3]

flexiblesusy::Beta_function::Beta_function ( Beta_function && )

default

◆ ~Beta_function()

virtual flexiblesusy::Beta_function::~Beta_function ( )

virtualdefault

Member Function Documentation

◆ beta()

virtual Eigen::ArrayXd flexiblesusy::Beta_function::beta ( ) const

pure virtual

Implemented in softsusy::QedQcd.

Referenced by derivatives().

◆ derivatives()

Eigen::ArrayXd flexiblesusy::Beta_function::derivatives	(	double	x,
		const Eigen::ArrayXd &	y
	)

private

Takes logarithm of renormalisation scale as first argument and parameters of RGE passed in as an Eigen::ArrayXd object of dynamic size in the second argument. Returns the beta functions as an Eigen::ArrayXd object.

Parameters

x	logarithm of renormalization scale to calculate beta functions at
y	array of model parameters

Returns: array of beta functions

Definition at line 108 of file betafunction.cpp.

References beta(), set(), and set_scale().

Referenced by run().

◆ get()

virtual Eigen::ArrayXd flexiblesusy::Beta_function::get ( ) const

pure virtual

Implemented in softsusy::QedQcd.

Referenced by run().

◆ get_loops()

int flexiblesusy::Beta_function::get_loops ( ) const

inline

Definition at line 58 of file betafunction.hpp.

References loops.

Referenced by softsusy::QedQcd::extractPoleMb(), softsusy::QedQcd::massBeta(), softsusy::operator<<(), softsusy::operator==(), softsusy::QedQcd::qcdBeta(), and run().

◆ get_number_of_parameters()

int flexiblesusy::Beta_function::get_number_of_parameters ( ) const

inline

Definition at line 57 of file betafunction.hpp.

References num_pars.

◆ get_scale()

double flexiblesusy::Beta_function::get_scale ( ) const

inline

Definition at line 56 of file betafunction.hpp.

References scale.

Referenced by softsusy::QedQcd::extractPoleMb(), softsusy::QedQcd::massBeta(), softsusy::operator<<(), softsusy::operator==(), softsusy::QedQcd::qcdBeta(), and softsusy::QedQcd::qedBeta().

◆ get_thresholds()

int flexiblesusy::Beta_function::get_thresholds ( ) const

inline

Definition at line 59 of file betafunction.hpp.

References thresholds.

Referenced by softsusy::QedQcd::massBeta(), softsusy::operator<<(), and softsusy::operator==().

◆ get_tolerance()

double flexiblesusy::Beta_function::get_tolerance ( double eps ) const

private

Helper function, which returns the RG running precision, determined from the argument eps. If eps is less than zero, the default running precision is returned. Otherwise, if eps is positive and less than the minimum allowed running precision, the minimum allowed running precision is returned. Otherwise, the value of eps is returned.

Parameters

eps	value to determine the RG running precision from

Returns: RG running precision

Definition at line 127 of file betafunction.cpp.

References min_tolerance, and tolerance.

Referenced by run(), and run_to().

◆ get_zero_threshold()

double flexiblesusy::Beta_function::get_zero_threshold ( ) const

inline

Definition at line 60 of file betafunction.hpp.

References zero_threshold.

◆ operator=() [1/2]

Beta_function & flexiblesusy::Beta_function::operator= ( Beta_function && )

default

◆ operator=() [2/2]

Beta_function & flexiblesusy::Beta_function::operator= ( const Beta_function & )

default

◆ reset()

void flexiblesusy::Beta_function::reset ( )

Definition at line 38 of file betafunction.cpp.

References loops, min_tolerance, num_pars, scale, thresholds, tolerance, and zero_threshold.

◆ run()

void flexiblesusy::Beta_function::run	(	double	x1,
		double	x2,
		double	eps = `-1.0`
	)

virtual

Runs parameter objects of the generated models from scale x1, passed as first argument, to scale x2 passed as second argument.

Parameters

x1	renormalization scale to start RG running from
x2	renormalization scale to run parameters to
eps	RG running precision

Definition at line 70 of file betafunction.cpp.

References derivatives(), flexiblesusy::end(), get(), get_loops(), get_tolerance(), flexiblesusy::anonymous_namespace{betafunction.cpp}::integrator, flexiblesusy::log(), min_tolerance, set(), and set_scale().

Referenced by run_to().

◆ run_to()

void flexiblesusy::Beta_function::run_to	(	double	x2,
		double	eps = `-1.0`
	)

virtual

Runs parameter objects of the generated models from current scale to the scale x2 passed as in an argument.

Parameters

x2	renormalization scale to run parameters to
eps	RG running precision

Definition at line 56 of file betafunction.cpp.

References get_tolerance(), run(), and scale.

Referenced by softsusy::QedQcd::runto_safe().

◆ set()

virtual void flexiblesusy::Beta_function::set ( const Eigen::ArrayXd & )

pure virtual

Implemented in softsusy::QedQcd.

Referenced by derivatives(), and run().

◆ set_loops()

void flexiblesusy::Beta_function::set_loops ( int l )

inline

Definition at line 52 of file betafunction.hpp.

References loops.

Referenced by softsusy::QedQcd::QedQcd().

◆ set_number_of_parameters()

void flexiblesusy::Beta_function::set_number_of_parameters ( int pars )

inline

Definition at line 51 of file betafunction.hpp.

References num_pars.

Referenced by softsusy::QedQcd::QedQcd().

◆ set_scale()

void flexiblesusy::Beta_function::set_scale ( double s )

inline

Definition at line 50 of file betafunction.hpp.

References scale.

Referenced by derivatives(), flexiblesusy::anonymous_namespace{slha_io.cpp}::process_sminputs_tuple(), softsusy::QedQcd::QedQcd(), and run().

◆ set_thresholds()

void flexiblesusy::Beta_function::set_thresholds ( int t )

inline

Definition at line 53 of file betafunction.hpp.

References thresholds.

Referenced by softsusy::QedQcd::QedQcd().

◆ set_zero_threshold()

void flexiblesusy::Beta_function::set_zero_threshold ( double t )

inline

Definition at line 54 of file betafunction.hpp.

References zero_threshold.

Member Data Documentation

◆ loops

int flexiblesusy::Beta_function::loops {0}

private

to what loop order does the RG evolution run

Definition at line 73 of file betafunction.hpp.

Referenced by get_loops(), reset(), and set_loops().

◆ min_tolerance

double flexiblesusy::Beta_function::min_tolerance {1.e-11}

private

minimum tolerance allowed

Definition at line 77 of file betafunction.hpp.

Referenced by get_tolerance(), reset(), and run().

◆ num_pars

int flexiblesusy::Beta_function::num_pars {0}

private

number of parameters

Definition at line 72 of file betafunction.hpp.

Referenced by get_number_of_parameters(), reset(), and set_number_of_parameters().

◆ scale

double flexiblesusy::Beta_function::scale {0.}

private

current renormalization scale

Definition at line 75 of file betafunction.hpp.

Referenced by get_scale(), softsusy::QedQcd::guess_alpha_SM5(), reset(), run_to(), softsusy::QedQcd::runto_safe(), set_scale(), and softsusy::QedQcd::to().

◆ thresholds

int flexiblesusy::Beta_function::thresholds {0}

private

threshold correction loop order

Definition at line 74 of file betafunction.hpp.

Referenced by get_thresholds(), reset(), and set_thresholds().

◆ tolerance

double flexiblesusy::Beta_function::tolerance {1.e-4}

private

running tolerance

Definition at line 76 of file betafunction.hpp.

Referenced by get_tolerance(), and reset().

◆ zero_threshold

double flexiblesusy::Beta_function::zero_threshold {1.e-11}

private

threshold for treating values as zero

Definition at line 78 of file betafunction.hpp.

Referenced by get_zero_threshold(), reset(), and set_zero_threshold().

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

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ Beta_function() [1/3]

◆ Beta_function() [2/3]

◆ Beta_function() [3/3]

◆ ~Beta_function()

Member Function Documentation

◆ beta()

◆ derivatives()

◆ get()

◆ get_loops()

◆ get_number_of_parameters()

◆ get_scale()

◆ get_thresholds()

◆ get_tolerance()

◆ get_zero_threshold()

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ reset()

◆ run()

◆ run_to()

◆ set()

◆ set_loops()

◆ set_number_of_parameters()

◆ set_scale()

◆ set_thresholds()

◆ set_zero_threshold()

Member Data Documentation

◆ loops

◆ min_tolerance

◆ num_pars

◆ scale

◆ thresholds

◆ tolerance

◆ zero_threshold