// @(#)root/physics:$Name:  $:$Id: TRolke.h,v 1.8 2006/10/20 16:01:21 brun Exp $
// Author: Jan Conrad    9/2/2004

/*************************************************************************
 * Copyright (C) 1995-2004, Rene Brun and Fons Rademakers.               *
 * All rights reserved.                                                  *
 *                                                                       *
 * For the licensing terms see $ROOTSYS/LICENSE.                         *
 * For the list of contributors see $ROOTSYS/README/CREDITS.             *
 *************************************************************************/

#ifndef ROOT_TRolke
#define ROOT_TRolke

#ifndef ROOT_TObject
#include "TObject.h"
#endif

class TRolke : public TObject {

protected:
   Double_t fCL;         // confidence level as a fraction [e.g. 90% = 0.9]
   Double_t fUpperLimit; // the calculated upper limit
   Double_t fLowerLimit; // the calculated lower limit
   Int_t fSwitch;        // 0: for unbounded likelihood
                         // 1: for bounded likelihood

   // The Calculator

   Double_t Interval(Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Double_t e, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b,Int_t m);

   // LIKELIHOOD ROUTINE

   Double_t Likelihood(Double_t mu, Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Double_t e, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b, Int_t m, Int_t what);

   //MODEL 1
   Double_t EvalLikeMod1(Double_t mu, Int_t x, Int_t y, Int_t z, Double_t e, Double_t tau, Double_t b, Int_t m, Int_t what);
   Double_t LikeMod1(Double_t mu,Double_t b, Double_t e, Int_t x, Int_t y, Int_t z, Double_t tau, Int_t m);
   void     ProfLikeMod1(Double_t mu,Double_t &b, Double_t &e,Int_t x,Int_t y, Int_t z,Double_t tau,Int_t m);
   Double_t LikeGradMod1(Double_t e, Double_t mu, Int_t x,Int_t y,Int_t z,Double_t tau,Int_t m);

   //MODEL 2
   Double_t EvalLikeMod2(Double_t mu, Int_t x, Int_t y, Double_t em, Double_t e,Double_t sde, Double_t tau, Double_t b, Int_t what);

   Double_t LikeMod2(Double_t mu, Double_t b, Double_t e,Int_t x,Int_t y,Double_t em,Double_t tau, Double_t v);

   //MODEL 3
   Double_t EvalLikeMod3(Double_t mu, Int_t x, Double_t bm, Double_t em, Double_t e, Double_t sde, Double_t sdb, Double_t b, Int_t what);
   Double_t LikeMod3(Double_t mu,Double_t b,Double_t e,Int_t x,Double_t bm,Double_t em,Double_t u,Double_t v);

   //MODEL 4
   Double_t EvalLikeMod4(Double_t mu, Int_t x, Int_t y, Double_t tau, Double_t b, Int_t what);
   Double_t LikeMod4(Double_t mu,Double_t b,Int_t x,Int_t y,Double_t tau);

   //MODEL 5
   Double_t EvalLikeMod5(Double_t mu, Int_t x, Double_t bm, Double_t sdb, Double_t b, Int_t what);
   Double_t LikeMod5(Double_t mu,Double_t b,Int_t x,Double_t bm,Double_t u);

   //MODEL 6
   Double_t EvalLikeMod6(Double_t mu, Int_t x, Int_t z, Double_t e, Double_t b, Int_t m, Int_t what);
   Double_t LikeMod6(Double_t mu,Double_t b,Double_t e,Int_t x,Int_t z,Int_t m);

   //MODEL 7
   Double_t EvalLikeMod7(Double_t mu, Int_t x, Double_t em, Double_t e, Double_t sde, Double_t b, Int_t what);
   Double_t LikeMod7(Double_t mu,Double_t b,Double_t e,Int_t x,Double_t em,Double_t v);

   //MISC
   static Double_t EvalPolynomial(Double_t x, const Int_t coef[], Int_t N);
   static Double_t EvalMonomial  (Double_t x, const Int_t coef[], Int_t N);
   Double_t LogFactorial(Int_t n);

public:

   TRolke(Double_t CL=0.9, Option_t *option = "");

   virtual ~TRolke();

   Double_t CalculateInterval(Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Double_t e, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b,Int_t m);
   Double_t GetUpperLimit(void) const { return fUpperLimit;}
   Double_t GetLowerLimit(void) const { return fLowerLimit;}
   Int_t    GetSwitch(void) const     { return fSwitch;}
   void     SetSwitch(Int_t sw) { fSwitch = sw; }
   Double_t GetCL(void) const         { return fCL;}
   void     SetCL(Double_t CL)  { fCL = CL; }

   ClassDef(TRolke,1) //calculate confidence limits using the Rolke method
};
#endif



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