class RooStats::AsymptoticCalculator: public RooStats::HypoTestCalculatorGeneric

    HypoTestCalculatorGeneric(data, altModel, nullModel, 0)
 {
 }

 initialize the calculator by performin g a global fit and make the Asimov data set

 re-implement HypoTest computation using the asymptotic

 make the asimov data from the ModelConfig and list of poi - return data set annd snapshoot of global obs
 poiValues is the snapshot of POI used for finding the best buisance parameter values (conditioned at these values)
 genPoiValues is optionally a different set of POI values used for generating. By default the same POI are used for generating and for finding the nuisance parameters

 make a nominal asimov data from the ModelConfig and parameter values
 The parameter values (including the nunisance) could be given from a fit to data or be at the nominal values

 function given the null and the alt p value - return the expected one given the N - sigma value

 set test statistic for one sided (upper limits)

 set the test statistics for two sided (in case of upper limits
 for discovery does not make really sense)

 set the test statistics for one-sided discovery

 re-implementation of  setters since they are needed to re-initialize the calculator

 set using of qtilde, by default is controlled if RoORealVar is limited or not

 return snapshot of the best fit parameter

 return best fit parameter (firs of poi)

 return best fit value for all parameters

 // configure TestStatSampler for the Null run
 int PreNullHook(RooArgSet *parameterPoint, double obsTestStat) const;
 // configure TestStatSampler for the Alt run
 int PreAltHook(RooArgSet *parameterPoint, double obsTestStat) const;