| 1 | #ifndef MARS_MJOptimize
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| 2 | #define MARS_MJOptimize
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| 3 |
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| 4 | #ifndef MARS_MJob
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| 5 | #include "MJob.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 TMinuit;
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| 13 |
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| 14 | class MAlphaFitter;
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| 15 |
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| 16 | class MEvtLoop;
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| 17 | class MParList;
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| 18 | class MFilter;
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| 19 | class MFilterList;
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| 20 | class MFitParameters;
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| 21 | class MFitParametersCalc;
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| 22 |
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| 23 | class MHMatrix;
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| 24 | class MGeomCam;
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| 25 | class MRead;
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| 26 | class MReadTree;
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| 27 |
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| 28 | class MJOptimize : public MJob
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| 29 | {
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| 30 | public:
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| 31 | enum Optimizer_t
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| 32 | {
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| 33 | kMigrad, // Minimize by the method of Migrad
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| 34 | kSimplex, // Minimize by the method of Simplex
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| 35 | kMinimize, // Migrad + Simplex (if Migrad fails)
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| 36 | kMinos, // Minos error determination
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| 37 | kImprove, // Local minimum search
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| 38 | kSeek, // Minimize by the method of Monte Carlo
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| 39 | kNone // Skip optimization
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| 40 | };
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| 41 |
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| 42 | private:
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| 43 | Int_t fDebug; // -1 no output, 0 MJOptimize output, 1 PrintStatistics output
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| 44 | Int_t fNumEvents;
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| 45 |
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| 46 | TList fRules;
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| 47 | TList fFilter;
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| 48 | TList fPreCuts;
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| 49 |
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| 50 | TList fNamesOn;
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| 51 | TList fNamesOff;
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| 52 |
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| 53 | TString fNameOut;
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| 54 |
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| 55 | void AddPoint(TList *l, Int_t idx, Float_t val) const;
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| 56 | TList *GetPlots() const;
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| 57 |
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| 58 | void AddRulesToMatrix(MHMatrix &m) const;
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| 59 | void SetupFilters(MFilterList &list, MFilter *filter=0) const;
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| 60 | Bool_t FillMatrix(MReadTree &read, MParList &l, Bool_t userules=kFALSE);
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| 61 |
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| 62 | MEvtLoop *fEvtLoop; //!
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| 63 |
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| 64 | Bool_t AddSequences(MRead &read, TList &list) const;
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| 65 |
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| 66 | // Minuit Interface
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| 67 | static void fcn(Int_t &npar, Double_t *gin, Double_t &f, Double_t *par, Int_t iflag);
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| 68 | Double_t Fcn(const TArrayD &par, TMinuit *minuit=0);
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| 69 |
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| 70 | Int_t Minuit(TMinuit &minuit, const char *cmd) const;
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| 71 | Int_t Migrad(TMinuit &minuit) const { return Minuit(minuit, "MIGRAD"); }
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| 72 | Int_t Simplex(TMinuit &minuit) const { return Minuit(minuit, "SIMPLEX"); }
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| 73 | Int_t Minimize(TMinuit &minuit) const { return Minuit(minuit, "MINIMIZE"); }
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| 74 | Int_t Seek(TMinuit &minuit) const { return Minuit(minuit, "SEEK"); }
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| 75 | Int_t Improve(TMinuit &minuit) const { return Minuit(minuit, "IMPROVE"); }
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| 76 | Int_t Minos(TMinuit &minuit) const { return Minuit(minuit, "MINOS"); }
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| 77 |
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| 78 | TArrayD fParameters; //!
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| 79 | TArrayD fLimLo; //!
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| 80 | TArrayD fLimUp; //!
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| 81 | TArrayD fStep; //!
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| 82 |
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| 83 | Optimizer_t fType;
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| 84 | UInt_t fNumMaxCalls;
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| 85 | Float_t fTolerance;
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| 86 |
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| 87 | Bool_t Optimize(MEvtLoop &evtloop);
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| 88 |
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| 89 | public:
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| 90 | MJOptimize();
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| 91 |
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| 92 | // I/O
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| 93 | void AddSequenceOn(const char *fname, const char *dir="");
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| 94 | void AddSequenceOff(const char *fname, const char *dir="");
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| 95 |
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| 96 | void ResetSequences();
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| 97 |
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| 98 | // Interface for filter cuts
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| 99 | Int_t AddParameter(const char *rule);
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| 100 | void AddFilter(const char *rule);
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| 101 | void AddPreCut(const char *rule);
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| 102 |
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| 103 | // Steering of optimization
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| 104 | void SetNumEvents(UInt_t n);
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| 105 | void SetDebug(UInt_t n);
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| 106 | void SetNameOut(const char *name="") { fNameOut = name; }
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| 107 | void SetOptimizer(Optimizer_t o);
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| 108 | void SetNumMaxCalls(UInt_t num=0) { fNumMaxCalls=num; }
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| 109 | void SetTolerance(Float_t tol=0) { fTolerance=tol; }
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| 110 |
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| 111 | // Parameter access
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| 112 | void SetParameters(const TArrayD &par);
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| 113 | void SetParameter(Int_t idx, Double_t start, Double_t lo=0, Double_t up=0, Double_t step=-1)
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| 114 | {
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| 115 | if (fParameters.GetSize()<=idx)
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| 116 | {
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| 117 | fParameters.Set(idx+1);
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| 118 | fLimLo.Set(idx+1);
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| 119 | fLimUp.Set(idx+1);
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| 120 | fStep.Set(idx+1);
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| 121 | }
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| 122 |
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| 123 | fParameters[idx] = start;
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| 124 | fLimLo[idx] = lo;
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| 125 | fLimUp[idx] = up;
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| 126 | if (step<=0)
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| 127 | fStep[idx] = start==0 ? 0.1 : TMath::Abs(start*0.15);
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| 128 | else
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| 129 | fStep[idx] = step;
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| 130 | }
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| 131 | void FixParameter(Int_t idx, Double_t start)
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| 132 | {
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| 133 | if (fParameters.GetSize()<=idx)
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| 134 | {
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| 135 | fParameters.Set(idx+1);
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| 136 | fLimLo.Set(idx+1);
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| 137 | fLimUp.Set(idx+1);
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| 138 | fStep.Set(idx+1);
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| 139 | }
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| 140 |
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| 141 | fParameters[idx] = start;
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| 142 | fLimLo[idx] = 0;
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| 143 | fLimUp[idx] = 0;
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| 144 | fStep[idx] = 0;
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| 145 | }
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| 146 |
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| 147 | const TArrayD &GetParameters() const { return fParameters; }
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| 148 |
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| 149 | // Generalized optimizing routines
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| 150 | Bool_t Optimize(MParList &list);
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| 151 |
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| 152 | // Special optimizing routines
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| 153 | Bool_t Run(const char *fname, MFilter *filter, MAlphaFitter *fit=0);
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| 154 | Bool_t Run(const char *fname, MAlphaFitter *fit=0)
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| 155 | {
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| 156 | return Run(fname, 0, fit);
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| 157 | }
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| 158 |
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| 159 | Bool_t Run(MFilter *filter, MAlphaFitter *fit=0)
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| 160 | {
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| 161 | return Run(0, filter, fit);
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| 162 | }
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| 163 | Bool_t Run(MAlphaFitter *fit=0)
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| 164 | {
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| 165 | return Run(0, 0, fit);
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| 166 | }
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| 167 |
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| 168 | Bool_t RunOnOff(const char *fname, MFilter *filter, MAlphaFitter *fit=0, const char *tree="Events");
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| 169 | Bool_t RunOnOff(const char *fname, MAlphaFitter *fit=0, const char *tree="Events")
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| 170 | {
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| 171 | return RunOnOff(fname, 0, fit, tree);
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| 172 | }
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| 173 | Bool_t RunEnergy(const char *fname, const char *rule);
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| 174 |
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| 175 | Bool_t RunOnOff(MFilter *filter, MAlphaFitter *fit=0, const char *tree="Events")
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| 176 | {
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| 177 | return RunOnOff(0, filter, fit, tree);
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| 178 | }
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| 179 | Bool_t RunOnOff(MAlphaFitter *fit=0, const char *tree="Events")
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| 180 | {
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| 181 | return RunOnOff(fit, tree);
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| 182 | }
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| 183 | Bool_t RunEnergy(const char *rule)
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| 184 | {
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| 185 | return RunEnergy(0, rule);
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| 186 | }
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| 187 |
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| 188 | ClassDef(MJOptimize, 0) // Class for optimization of the Supercuts
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| 189 | };
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| 190 |
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| 191 | #endif
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