source: tags/Mars-V0.9.4.2/mhflux/MAlphaFitter.h

Last change on this file was 7185, checked in by tbretz, 19 years ago
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1#ifndef MARS_MAlphaFitter
2#define MARS_MAlphaFitter
3
4#ifndef MARS_MParContainer
5#include "MParContainer.h"
6#endif
7
8#ifndef ROOT_TArrayD
9#include <TArrayD.h>
10#endif
11
12#ifndef ROOT_TF1
13#include <TF1.h>
14#endif
15
16class TH1D;
17class TH3D;
18
19class MAlphaFitter : public MParContainer
20{
21public:
22 enum ScaleMode_t {
23 kNone, // No scaling
24 kEntries, // scale by the number of entries in on and off
25 kIntegral, // scale by the integral in on and off
26 kOffRegion, // scale by the integral between fScaleMin, fScaleMax in on and off
27 kBackground, // scale by the integral between fBgMin, fBgMax in on and off
28 kLeastSquare, // not yet implemented
29 kUserScale // scale by fixed factor set by SetScaleUser
30 };
31 enum Strategy_t {
32 kSignificance,
33 kSignificanceChi2,
34 kSignificanceLogExcess,
35 kSignificanceExcess,
36 kExcess,
37 kGaussSigma
38 };
39 enum SignalFunc_t {
40 kGauss, kThetaSq
41 };
42
43private:
44 // Fitting Setup
45 Float_t fSigInt; // minimum of range to fit the signal
46 Float_t fSigMax; // maximum of range to fit the signal
47 Float_t fBgMin; // minimum of range to fit the background
48 Float_t fBgMax; // minimum of range to fit the background
49 Float_t fScaleMin; // minimum of range to determin the scale factor of the background
50 Float_t fScaleMax; // maximum of range to determin the scale factor of the background
51 Int_t fPolynomOrder; // order of polyom to be fitted to the background
52 Bool_t fFitBackground; // Backround fit: yes/no
53 SignalFunc_t fSignalFunc; // Type of signal function
54 // Result
55 Double_t fSignificance; // significance of signal
56 Double_t fEventsExcess; // calculated number of excess events (signal-bg)
57 Double_t fEventsSignal; // calculated number of signal events
58 Double_t fEventsBackground; // calculated number of bg events (fScaleFactor already applied)
59
60 Double_t fChiSqSignal; // Reduced (chi^2/NDF) chisq of signal fit
61 Double_t fChiSqBg; // Reduced (chi^2/NDF) chisq of bg fit
62 Double_t fIntegralMax; // Calculated bin border to which it was integrated
63 Double_t fScaleFactor; // Scale factor determined for off-data
64
65 TArrayD fCoefficients; // Fit result
66
67 // Function
68 TF1 *fFunc; // fit function (gauss + polynom)
69
70 // Scaling setup
71 ScaleMode_t fScaleMode; // scaling mode
72 Double_t fScaleUser; // user scale factor
73
74 // Minimization strategy
75 Strategy_t fStrategy; // How to calc minimization value
76
77public:
78 // Implementing the function yourself is only about 5% faster
79 MAlphaFitter(const char *name=0, const char *title=0) : fSigInt(15),
80 fSigMax(75), fBgMin(45), fBgMax(85), fScaleMin(40), fScaleMax(80),
81 fPolynomOrder(2), fFitBackground(kTRUE), fSignalFunc(kGauss),
82 fCoefficients(3+fPolynomOrder+1),
83 fFunc(new TF1("", Form("gaus(0) + pol%d(3)", fPolynomOrder), 0, 90)),
84 fScaleMode(kOffRegion), fScaleUser(1), fStrategy(kSignificance)
85 {
86 fName = name ? name : "MAlphaFitter";
87 fTitle = title ? title : "Fit alpha";
88
89 gROOT->GetListOfFunctions()->Remove(fFunc);
90 fFunc->SetName("Dummy");
91
92 Clear();
93 }
94
95 MAlphaFitter(const MAlphaFitter &f) : fFunc(0)
96 {
97 f.Copy(*this);
98 }
99 ~MAlphaFitter()
100 {
101 delete fFunc;
102 }
103
104 // TObject
105 void Clear(Option_t *o="");
106 void Print(Option_t *o="") const; //*MENU*
107 void Copy(TObject &o) const;
108
109 // Setter
110 void SetScaleUser(Float_t scale) { fScaleUser = scale; fScaleMode=kUserScale; }
111 void SetScaleMode(ScaleMode_t mode) { fScaleMode = mode; }
112 void SetMinimizationStrategy(Strategy_t mode) { fStrategy = mode; }
113 void SetSignalIntegralMax(Float_t s) { fSigInt = s; }
114 void SetSignalFitMax(Float_t s) { fSigMax = s; }
115 void SetBackgroundFitMin(Float_t s) { fBgMin = s; }
116 void SetBackgroundFitMax(Float_t s) { fBgMax = s; }
117 void SetScaleMin(Float_t s) { fScaleMin = s; }
118 void SetScaleMax(Float_t s) { fScaleMax = s; }
119 void SetPolynomOrder(Int_t s)
120 {
121 if (s==fPolynomOrder)
122 return;
123
124 fPolynomOrder = s;
125
126 SetSignalFunction(fSignalFunc);
127 }
128 void SetSignalFunction(SignalFunc_t func)
129 {
130 delete fFunc;
131 switch (func)
132 {
133 case kGauss:
134 fFunc=new TF1 ("", Form("gaus(0) + pol%d(3)", fPolynomOrder));
135 break;
136 case kThetaSq:
137 fFunc=new TF1 ("", Form("[0]*exp(-0.5*((sqrt(x)-[1])/[2])^2) + pol%d(3)", fPolynomOrder));
138 break;
139 }
140 fSignalFunc=func;
141 gROOT->GetListOfFunctions()->Remove(fFunc);
142 fFunc->SetName("Dummy");
143 fCoefficients.Set(3+fPolynomOrder+1);
144 fCoefficients.Reset();
145 }
146 void EnableBackgroundFit(Bool_t b=kTRUE) { fFitBackground=b; }
147
148 // Getter
149 Double_t GetSignalIntegralMax() const { return fSigInt; }
150
151 Double_t GetEventsExcess() const { return fEventsExcess; }
152 Double_t GetEventsSignal() const { return fEventsSignal; }
153 Double_t GetEventsBackground() const { return fEventsBackground; }
154
155 Double_t GetSignificance() const { return fSignificance; }
156 Double_t GetChiSqSignal() const { return fChiSqSignal; }
157 Double_t GetChiSqBg() const { return fChiSqBg; }
158 Double_t GetScaleFactor() const { return fScaleFactor; }
159 Double_t GetMinimizationValue() const;
160
161 Double_t GetGausSigma() const { return fCoefficients[2]; }
162 Double_t GetGausMu() const { return fCoefficients[1]; }
163 Double_t GetGausA() const { return fCoefficients[0]; }
164 Double_t GetCoefficient(Int_t i) const { return fCoefficients[i]; }
165 const TArrayD &GetCoefficients() const { return fCoefficients; }
166 Double_t Eval(Double_t d) const { return fFunc ? fFunc->Eval(d) : 0; }
167
168 // Interface to fit
169 Bool_t Fit(TH1D &h, Bool_t paint=kFALSE);
170 Bool_t Fit(const TH1D &on, const TH1D &off, Double_t alpha, Bool_t paint=kFALSE);
171 Bool_t Fit(TH1D &on, TH1D *off, Double_t alpha, Bool_t paint=kFALSE)
172 {
173 return off ? Fit(on, *off, alpha, paint) : Fit(on, paint);
174 }
175 Bool_t Fit(TH1D &on, TH1D *off, Bool_t paint=kFALSE)
176 {
177 return off ? Fit(on, *off, 1, paint) : Fit(on, paint);
178 }
179 Bool_t ScaleAndFit(TH1D &on, TH1D *off, Bool_t paint=kFALSE)
180 {
181 const Double_t alpha = off ? Scale(*off, on) : 1;
182 return off ? Fit(on, *off, alpha, paint) : Fit(on, paint);
183 }
184
185 Bool_t FitAlpha(const TH3D &h, Bool_t paint=kFALSE);
186 Bool_t FitEnergy(const TH3D &h, UInt_t bin, Bool_t paint=kFALSE);
187 Bool_t FitTheta(const TH3D &h, UInt_t bin, Bool_t paint=kFALSE);
188 //Bool_t FitTime(const TH3D &h, UInt_t bin, Bool_t paint=kFALSE);
189
190 Bool_t FitAlpha(const TH3D &on, const TH3D &off, Bool_t paint=kFALSE);
191 Bool_t FitEnergy(const TH3D &on, const TH3D &off, UInt_t bin, Bool_t paint=kFALSE);
192 Bool_t FitTheta(const TH3D &on, const TH3D &off, UInt_t bin, Bool_t paint=kFALSE);
193 //Bool_t FitTime(const TH3D &on, const TH3D &off, UInt_t bin, Bool_t paint=kFALSE);
194
195 Bool_t FitAlpha(const TH3D &on, const TH3D *off, Bool_t paint=kFALSE)
196 {
197 return off ? FitAlpha(on, *off, paint) : FitAlpha(on, paint);
198 }
199 Bool_t FitEnergy(const TH3D &on, const TH3D *off, UInt_t bin, Bool_t paint=kFALSE)
200 {
201 return off ? FitEnergy(on, *off, bin, paint) : FitEnergy(on, bin, paint);
202 }
203 Bool_t FitTheta(const TH3D &on, const TH3D *off, UInt_t bin, Bool_t paint=kFALSE)
204 {
205 return off ? FitTheta(on, *off, bin, paint) : FitTheta(on, bin, paint);
206 }/*
207 Bool_t FitTime(const TH3D &on, const TH3D *off, UInt_t bin, Bool_t paint=kFALSE)
208 {
209 return off ? FitTime(on, *off, bin, paint) : FitTime(on, bin, paint);
210 }*/
211
212 Double_t Scale(TH1D &off, const TH1D &on) const;
213
214 // Interface to result
215 void PaintResult(Float_t x=0.04, Float_t y=0.94, Float_t size=0.035) const;
216
217 // MTask
218 Int_t ReadEnv(const TEnv &env, TString prefix, Bool_t print=kFALSE);
219
220 ClassDef(MAlphaFitter, 1)
221};
222
223#endif
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