FitFunction Class Reference

description More...

#include <FitFunction.h>

Inheritance diagram for FitFunction:

Public Types
enum	SignalFitModel { NONE = 0 , GAUSSIAN = 1 , CRYSTAL_BALL = 2 }
	description More...
enum	ModelOrder { FIRST = 0 , THIRD = 1 , FIFTH = 2 , SEVENTH = 3 }
	description More...
enum	BkgModel { CHEBYSHEV = 0 , EXP_CHEBYSHEV = 1 , LEGENDRE = 2 , EXP_LEGENDRE = 3 }
	description More...

Public Member Functions
	FitFunction (double m_mass_hypothesis, double m_window_size, double m_bin_size, ModelOrder m_model_order, SignalFitModel m_sig_model=FitFunction::SignalFitModel::NONE, bool m_exp_background=true)
	Constructor.
double	operator() (double *x, double *par)
	Calculates the value of the function at the specified x and with the specified parameters.

Protected Member Functions
virtual double	calculateBackground (double *x, double *par)=0
	Calculates the value of the background function at the specified x and with the specified parameters.
double	calculateSignal (double *x, double *par)
	Calculates the value of the signal function at the specified x and with the specified parameters.
double	getCorrectedX (double x)
	Gets a value of x corrected for window size and the mass hypothesis.

Protected Attributes
double	mass_hypothesis = 0
double	window_size = 0
double	bin_size = 0
int	order = 0
SignalFitModel	sig_model
ModelOrder	model_order
bool	exp_background = true

Private Attributes
int	sigParm = 0

Detailed Description

description

more details

Definition at line 12 of file FitFunction.h.

Member Enumeration Documentation

BkgModel

enum BkgModel

description

Enumerator
CHEBYSHEV
EXP_CHEBYSHEV
LEGENDRE
EXP_LEGENDRE

Definition at line 39 of file FitFunction.h.

ModelOrder

enum ModelOrder

description

Enumerator
FIRST
THIRD
FIFTH
SEVENTH

Definition at line 28 of file FitFunction.h.

SignalFitModel

enum SignalFitModel

description

Enumerator
NONE
GAUSSIAN
CRYSTAL_BALL

Definition at line 18 of file FitFunction.h.

Constructor & Destructor Documentation

FitFunction()

FitFunction ( double  m_mass_hypothesis, double  m_window_size, double  m_bin_size, ModelOrder  m_model_order, SignalFitModel  m_sig_model = FitFunction::SignalFitModel::NONE, bool  m_exp_background = true  )

inline

Constructor.

Parameters

m_mass_hypothesis
m_window_size
m_bin_size
m_model_order
m_sig_model
m_exp_background

Definition at line 56 of file FitFunction.h.

Member Function Documentation

calculateBackground()

virtual double calculateBackground ( double *  x, double *  par  )

protectedpure virtual

Calculates the value of the background function at the specified x and with the specified parameters.

Parameters

x
par

Returns

double

Implemented in ChebyshevFitFunction, and LegendreFitFunction.

calculateSignal()

double calculateSignal ( double *  x, double *  par  )

inlineprotected

Calculates the value of the signal function at the specified x and with the specified parameters.

Parameters

x
par

Returns

double

Definition at line 140 of file FitFunction.h.

getCorrectedX()

double getCorrectedX ( double  x )

inlineprotected

Gets a value of x corrected for window size and the mass hypothesis.

Parameters

x

Returns

double

Definition at line 161 of file FitFunction.h.

operator()()

double operator() ( double *  x, double *  par  )

inline

Calculates the value of the function at the specified x and with the specified parameters.

Parameters

x
par

Returns

double

Definition at line 92 of file FitFunction.h.

Member Data Documentation

bin_size

double bin_size = 0

protected

Size of each bin in the histogram.

Definition at line 108 of file FitFunction.h.

exp_background

bool exp_background = true

protected

Type of background fit to use.

Definition at line 120 of file FitFunction.h.

mass_hypothesis

double mass_hypothesis = 0

protected

Mass hypothesis

Definition at line 102 of file FitFunction.h.

model_order

ModelOrder model_order

protected

Order of the model to be used.

Definition at line 117 of file FitFunction.h.

order

int order = 0

protected

The model order as an integer.

Definition at line 111 of file FitFunction.h.

sig_model

SignalFitModel sig_model

protected

Signal fit function to be used.

Definition at line 114 of file FitFunction.h.

sigParm

int sigParm = 0

private

Specifies where the signal parameters begin.

Definition at line 167 of file FitFunction.h.

window_size

double window_size = 0

protected

Size of the search window.

Definition at line 105 of file FitFunction.h.

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

• analysis/include/FitFunction.h