Robs_mu_e_gamma Class Reference

A class for calculating the upper limit ratio for the process \( \mu \to e \gamma \). More...

#include <li_lj_gamma.h>

Inheritance diagram for Robs_mu_e_gamma:

Detailed Description

A class for calculating the upper limit ratio for the process \( \mu \to e \gamma \).

Author

HEPfit Collaboration

Copyright

GNU General Public License

Definition at line 74 of file li_lj_gamma.h.

Public Member Functions
double	computeThValue ()
	Robs_mu_e_gamma (const StandardModel &SM_i)
	Calculates the upper limit ratio of the process \( \mu \to e \gamma \). More...
Public Member Functions inherited from ThObservable
double	getBinMax ()
	A get method to get the maximum value of the bin. More...
double	getBinMin ()
	A get method to get the minimum value of the bin. More...
const StandardModel &	getModel ()
	A get method to get the model. More...
const std::vector< std::string >	getParametersForObservable ()
	A get method to get the parameters for the specific observable. More...
void	setBinMax (double max)
	A set method to set the maximum value of the bin. More...
void	setBinMin (double min)
	A set method to set the minimum value of the bin. More...
void	setParametersForObservable (std::vector< std::string > parametersForObservable_i)
	A set method to get the parameters for the specific observable. More...
	ThObservable (const StandardModel &SM_i)
	Constructor. More...
	ThObservable (const ThObservable &orig)
	The copy constructor. More...
virtual	~ThObservable ()
	The default destructor. More...

Additional Inherited Members
Protected Attributes inherited from ThObservable
double	max
	the bin maximum. More...
double	min
	The bin minimum. More...
std::vector< std::string >	parametersForObservable
	a vector of parameter namesfor the specific observable More...
const StandardModel &	SM
	A reference to an object of StandardMode class. More...

Constructor & Destructor Documentation

Robs_mu_e_gamma()

Robs_mu_e_gamma::Robs_mu_e_gamma

(

const StandardModel &

SM_i

)

Calculates the upper limit ratio of the process \( \mu \to e \gamma \).

Definition at line 37 of file li_lj_gamma.cpp.

: ThObservable(SM_i)
{}

Member Function Documentation

computeThValue()

double Robs_mu_e_gamma::computeThValue ( )

virtual

Returns

\(R=1+(BR_{\text{theo}}-BR_{\text{obs,90\%}})/BR_{\text{exp,90\%}}\cdot \sqrt{2}\text{InvErf}(0.90)\)

Implements ThObservable.

Definition at line 41 of file li_lj_gamma.cpp.

{
    double alph = SM.getAle();
    double mMU = SM.getLeptons(StandardModel::MU).getMass();
    gslpp::vector<gslpp::complex> ** allcoeff_me = SM.getMyLeptonFlavour()->ComputeCoeffli_lj_gamma(1);
    double BR_mu_e_gamma = (alph*pow(mMU,5) * ((*(allcoeff_me[LO])) * (*(allcoeff_me[LO])).conjugate()).abs() / (2.99598e-19) );
    double BR_mu_e_gamma_obs=4.2e-13;  //from 1605.05081v1 (TheMEG:2016wtm)
    double BR_mu_e_gamma_exp=5.3e-13;  //from 1605.05081v1 (TheMEG:2016wtm)
    double ntos=1.64485362695147; //90% CL
    
    return (1+(BR_mu_e_gamma-BR_mu_e_gamma_obs)/BR_mu_e_gamma_exp)*ntos;
}

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

• li_lj_gamma.h
• li_lj_gamma.cpp