mslepton.
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#include <SFermiondeltas.h>
mslepton.
Definition at line 680 of file SFermiondeltas.h.
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| double | max |
| | the bin maximum.
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| double | min |
| | The bin minimum.
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| std::vector< std::string > | parametersForObservable |
| | a vector of parameter namesfor the specific observable
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| |
| const StandardModel & | SM |
| | A reference to an object of StandardMode class.
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| |
◆ mslepton()
mslepton constructor.
Definition at line 368 of file SFermiondeltas.cpp.
370{}
A base class for SUSY models.
A class for a model prediction of an observable.
◆ computeThValue()
| double mslepton::computeThValue |
( |
| ) |
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virtual |
- Returns
- \(mslepton\)
Implements ThObservable.
Definition at line 372 of file SFermiondeltas.cpp.
373{
376 double Me2average_32=(sqrt(msLhat2(2,2)).abs()+sqrt(msEhat2(1,1)).abs())/2.0;
377
378 return Me2average_32;
379}
gslpp::matrix< gslpp::complex > getMsLhat2() const
gslpp::matrix< gslpp::complex > getMsEhat2() const
◆ mySUSY
| const SUSY& mslepton::mySUSY |
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private |
The documentation for this class was generated from the following files: