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