logmslepton.
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#include <SFermiondeltas.h>
logmslepton.
Definition at line 658 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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| |
◆ logmslepton()
logmslepton constructor.
Definition at line 355 of file SFermiondeltas.cpp.
357{}
A base class for SUSY models.
A class for a model prediction of an observable.
◆ computeThValue()
| double logmslepton::computeThValue |
( |
| ) |
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virtual |
- Returns
- \(logmslepton\)
Implements ThObservable.
Definition at line 359 of file SFermiondeltas.cpp.
360{
363 double Me2average_32=sqrt(msLhat2(2,2)*msEhat2(1,1)).abs();
364
365 return log10(sqrt(Me2average_32));
366}
gslpp::matrix< gslpp::complex > getMsLhat2() const
gslpp::matrix< gslpp::complex > getMsEhat2() const
◆ mySUSY
| const SUSY& logmslepton::mySUSY |
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private |
The documentation for this class was generated from the following files: