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1// @(#)root/hist:$Id$
2// Author: Christophe.Delaere@cern.ch 21/08/2002
4#ifndef ROOT_TConfidenceLevel
5#define ROOT_TConfidenceLevel
7#include "TObject.h"
11// TConfidenceLevel
13// This class serves as output for the TLimit::ComputeLimit method.
14// It is created just after the time-consuming part and can be stored
15// in a TFile for further processing. It contains
16// light methods to return CLs, CLb and other interesting quantities.
20class TConfidenceLevel : public TObject {
21 public:
23 TConfidenceLevel(Int_t mc, bool onesided = kTRUE);
24 virtual ~TConfidenceLevel();
25 inline void SetTSD(Double_t in) { fTSD = in; }
26 void SetTSB(Double_t * in);
27 void SetTSS(Double_t * in);
28 inline void SetLRS(Double_t * in) { fLRS = in; }
29 inline void SetLRB(Double_t * in) { fLRB = in; }
30 inline void SetBtot(Double_t in) { fBtot = in; }
31 inline void SetStot(Double_t in) { fStot = in; }
32 inline void SetDtot(Int_t in) { fDtot = in; }
33 inline Double_t GetStatistic() const { return -2 * (fTSD - fStot); }
34 void Draw(const Option_t *option="");
37 Double_t CLb(bool use_sMC = kFALSE) const;
38 Double_t CLsb(bool use_sMC = kFALSE) const;
39 Double_t CLs(bool use_sMC = kFALSE) const;
44 Double_t GetAverageCLs() const;
48 inline Int_t GetDtot() const { return fDtot; }
49 inline Double_t GetStot() const { return fStot; }
50 inline Double_t GetBtot() const { return fBtot; }
51 private:
52 // data members used for the limits calculation
61 Double_t *fTSB; //[fNNMC]
62 Double_t *fTSS; //[fNNMC]
63 Double_t *fLRS; //[fNNMC]
64 Double_t *fLRB; //[fNNMC]
65 Int_t *fISS; //[fNNMC]
66 Int_t *fISB; //[fNNMC]
67 // cumulative probabilities for defining the bands on plots
68 static const Double_t fgMCLM2S;
69 static const Double_t fgMCLM1S;
70 static const Double_t fgMCLMED;
71 static const Double_t fgMCLP1S;
72 static const Double_t fgMCLP2S;
73 static const Double_t fgMCL3S1S;
74 static const Double_t fgMCL5S1S;
75 static const Double_t fgMCL3S2S;
76 static const Double_t fgMCL5S2S;
77 ClassDef(TConfidenceLevel, 1) // output for TLimit functions
int Int_t
Definition RtypesCore.h:45
const Bool_t kFALSE
Definition RtypesCore.h:92
double Double_t
Definition RtypesCore.h:59
const Bool_t kTRUE
Definition RtypesCore.h:91
const char Option_t
Definition RtypesCore.h:66
#define ClassDef(name, id)
Definition Rtypes.h:325
Class to compute 95% CL limits.
static const Double_t fgMCL5S2S
void SetTSS(Double_t *in)
Set the TSS.
void SetStot(Double_t in)
void SetBtot(Double_t in)
void SetLRB(Double_t *in)
static const Double_t fgMCLM2S
Double_t GetExpectedCLb_sb(Int_t sigma=0) const
Get the expected Confidence Level for the background only if there is signal and background.
void SetTSB(Double_t *in)
Set the TSB.
Double_t Get3sProbability() const
Get 3s probability.
void SetLRS(Double_t *in)
static const Double_t fgMCLP2S
static const Double_t fgMCL3S2S
Double_t GetExpectedCLs_b(Int_t sigma=0) const
Double_t GetExpectedStatistic_b(Int_t sigma=0) const
Get the expected statistic value in the background only hypothesis.
static const Double_t fgMCLP1S
static const Double_t fgMCLMED
Default constructor.
Double_t GetStatistic() const
Double_t GetBtot() const
Double_t GetExpectedStatistic_sb(Int_t sigma=0) const
Get the expected statistic value in the signal plus background hypothesis.
Double_t GetAverageCLs() const
Get average CLs.
Double_t GetExpectedCLb_b(Int_t sigma=0) const
Get the expected Confidence Level for the background only if there is only background.
static const Double_t fgMCLM1S
Double_t CLsb(bool use_sMC=kFALSE) const
Get the Confidence Level for the signal plus background hypothesis.
void SetTSD(Double_t in)
static const Double_t fgMCL3S1S
Double_t Get5sProbability() const
Get 5s probability.
Double_t GetStot() const
virtual ~TConfidenceLevel()
The destructor.
void SetDtot(Int_t in)
Int_t GetDtot() const
Double_t CLb(bool use_sMC=kFALSE) const
Get the Confidence Level for the background only.
static const Double_t fgMCL5S1S
Double_t GetAverageCLsb() const
Get average CLsb.
Double_t GetExpectedCLsb_b(Int_t sigma=0) const
Get the expected Confidence Level for the signal plus background hypothesis if there is only backgrou...
Double_t CLs(bool use_sMC=kFALSE) const
Get the Confidence Level defined by CLs = CLsb/CLb.
Mother of all ROOT objects.
Definition TObject.h:37
const Double_t sigma
th1 Draw()