LauParameter.hh
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117 LauParameter(const TString& parName, Double_t parValue, Double_t min, Double_t max, Bool_t parFixed);
127 LauParameter(const TString& parName, Double_t parValue, Double_t parError, Double_t min, Double_t max);
174 inline Double_t unblindValue() const {return (blinder_==0) ? value_ : blinder_->unblind(value_);}
331 void valueAndErrors(Double_t newValue, Double_t newError, Double_t newNegError = 0.0, Double_t newPosError = 0.0);
Bool_t fixed() const Check whether the parameter is fixed or floated. Definition: LauParameter.hh:228 std::map< LauParameter *, Double_t > clones_ The clones of this parameter. Definition: LauParameter.hh:545 File containing declaration of LauBlind class. Double_t maxValue() const The maximum value allowed for the parameter. Definition: LauParameter.hh:216 Double_t constraintWidth() const The width of the Gaussian constraint. Definition: LauParameter.hh:252 Double_t minValue() const The minimum value allowed for the parameter. Definition: LauParameter.hh:210 std::vector< std::vector< LauParameter > > LauParArray Type to define an array of parameters. Definition: LauParameter.hh:558 void valueAndRange(Double_t newValue, Double_t newMinValue, Double_t newMaxValue) Set the value and range for the parameter. Definition: LauParameter.cc:483 void checkRange() Method to check whether value provided is whithin the range and that the minimum and maximum limits m... Definition: LauParameter.hh:468 File containing declaration of LauAbsRValue class. std::ostream & operator<<(std::ostream &os, const LauComplex &z) Definition: LauComplex.cc:57 Double_t constraintMean() const The mean of the Gaussian constraint. Definition: LauParameter.hh:246 Bool_t gaussConstraint() const Check whether a Gaussian constraints is applied. Definition: LauParameter.hh:240 Bool_t secondStage() const Check whether the parameter should be floated only in the second stage of a two stage fit... Definition: LauParameter.hh:234 void randomiseValue() Randomise the value of the parameter (if it is floating). Definition: LauParameter.cc:696 void valueAndErrors(Double_t newValue, Double_t newError, Double_t newNegError=0.0, Double_t newPosError=0.0) Set the value and errors on the parameter. Definition: LauParameter.cc:410 void clone(LauParameter *theparent) Mark this as a clone of the given parent. Definition: LauParameter.hh:477 void blindParameter(const TString &blindingString, const Double_t width) Blind the parameter. Definition: LauParameter.cc:542 Bool_t secondStage_ Flag whether it is floated only in the second stage of the fit. Definition: LauParameter.hh:521 LauParameter * createClone(Double_t constFactor=1.0) Method to create a clone from the parent parameter using the copy constructor. Definition: LauParameter.cc:627 void addGaussianConstraint(Double_t newGaussMean, Double_t newGaussWidth) Add a Gaussian constraint (or modify an existing one) Definition: LauParameter.cc:520 Class for blinding and unblinding a number based on a blinding string. Definition: LauBlind.hh:42 Double_t globalCorrelationCoeff() const The parameter global correlation coefficient. Definition: LauParameter.hh:258 Pure abstract base class for defining a parameter containing an R value. Definition: LauAbsRValue.hh:43 void errors(Double_t newError, Double_t newNegError, Double_t newPosError) Set the error values on the parameter. Definition: LauParameter.cc:398 LauParameter & operator=(const LauParameter &rhs) Copy assignment operator. Definition: LauParameter.cc:315 Generated by 1.8.5 |