| 1 | /* ======================================================================== *\ | 
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| 2 | ! | 
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| 3 | ! * | 
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| 4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction | 
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| 5 | ! * Software. It is distributed to you in the hope that it can be a useful | 
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| 6 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes. | 
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| 7 | ! * It is distributed WITHOUT ANY WARRANTY. | 
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| 8 | ! * | 
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| 9 | ! * Permission to use, copy, modify and distribute this software and its | 
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| 10 | ! * documentation for any purpose is hereby granted without fee, | 
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| 11 | ! * provided that the above copyright notice appear in all copies and | 
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| 12 | ! * that both that copyright notice and this permission notice appear | 
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| 13 | ! * in supporting documentation. It is provided "as is" without express | 
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| 14 | ! * or implied warranty. | 
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| 15 | ! * | 
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| 16 | ! | 
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| 17 | ! | 
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| 18 | !   Author(s): Thomas Bretz, 3/2004 <mailto:tbretz@astro.uni-wuerzburg.de> | 
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| 19 | ! | 
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| 20 | !   Copyright: MAGIC Software Development, 2000-2004 | 
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| 21 | ! | 
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| 22 | ! | 
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| 23 | \* ======================================================================== */ | 
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| 24 |  | 
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| 25 | ///////////////////////////////////////////////////////////////////////////// | 
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| 26 | // | 
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| 27 | // MTFitLoop | 
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| 28 | // | 
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| 29 | // This class optimized parameters which are calculated in an eventloop. | 
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| 30 | // For this it is unimportant whether the loop reads from a file a | 
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| 31 | // matrix or from somewhere else... | 
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| 32 | // | 
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| 33 | // The parameters which are optimized must be stored in a MParContainer | 
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| 34 | // which overwrites SetVariables(). Eg. a MDataPhrase or MF overwrites | 
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| 35 | // SetVariables(). In a MF all arguments given as [0], [1] are | 
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| 36 | // set by SetVariables (in MDataValue). | 
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| 37 | //  eg: In you loop you have a cut like this: | 
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| 38 | //      MF filter("MHillas.fWidth<[0]"); | 
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| 39 | //      filter.SetName("MyParameters"); | 
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| 40 | // | 
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| 41 | //  Now for each time the eventloop is executed | 
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| 42 | //  (MEvtLoop::Eventloop(fNumEvents)) the parameters from TMinuit are | 
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| 43 | //  passed to MF::SetVariables and changed. | 
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| 44 | // | 
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| 45 | // | 
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| 46 | ///////////////////////////////////////////////////////////////////////////// | 
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| 47 | #include "MTFitLoop.h" | 
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| 48 |  | 
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| 49 | #include <TArrayD.h> | 
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| 50 | #include <TMinuit.h> | 
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| 51 | #include <TStopwatch.h> | 
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| 52 |  | 
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| 53 | #include "MParList.h" | 
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| 54 | #include "MTaskList.h" | 
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| 55 | #include "MEvtLoop.h" | 
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| 56 |  | 
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| 57 | #include "MParameters.h" | 
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| 58 |  | 
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| 59 | #include "MRead.h" | 
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| 60 |  | 
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| 61 | #include "MLog.h" | 
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| 62 | #include "MLogManip.h" | 
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| 63 |  | 
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| 64 | ClassImp(MTFitLoop); | 
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| 65 |  | 
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| 66 | using namespace std; | 
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| 67 |  | 
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| 68 | //------------------------------------------------------------------------ | 
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| 69 | // | 
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| 70 | // fcn calculates the function to be minimized (using TMinuit::Migrad) | 
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| 71 | // | 
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| 72 | void MTFitLoop::fcn(Int_t &npar, Double_t *gin, Double_t &f, Double_t *par, Int_t iflag) | 
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| 73 | { | 
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| 74 | MTFitLoop *optim = (MTFitLoop*)gMinuit->GetObjectFit(); | 
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| 75 |  | 
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| 76 | TMinuit *minuit = gMinuit; | 
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| 77 | f = optim->Fcn(npar, gin, par, iflag); | 
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| 78 | gMinuit = minuit; | 
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| 79 |  | 
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| 80 | } | 
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| 81 | Double_t MTFitLoop::Fcn(Int_t &npar, Double_t *gin, Double_t *par, Int_t iflag) | 
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| 82 | { | 
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| 83 | MParList *plist = fEvtLoop->GetParList(); | 
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| 84 |  | 
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| 85 | MParameterD   *eval = (MParameterD*)  plist->FindCreateObj("MParameterD", fFitParameter); | 
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| 86 | MParContainer *pars = (MParContainer*)plist->FindObject(fParametersName); | 
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| 87 |  | 
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| 88 | MRead *read = (MRead*)plist->FindObject("MTaskList")->FindObject("MRead"); | 
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| 89 | if (read) | 
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| 90 | read->Rewind(); | 
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| 91 |  | 
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| 92 | if (fDebug>=1) | 
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| 93 | { | 
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| 94 | Double_t fmin, fedm, errdef; | 
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| 95 | Int_t n1, n2, istat; | 
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| 96 | gMinuit->mnstat(fmin, fedm, errdef, n1, n2, istat); | 
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| 97 | *fLog << inf << underline << "Minimization Status so far:" << endl; | 
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| 98 | *fLog << " Calls:     " << gMinuit->fNfcn << endl; | 
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| 99 | *fLog << " Func min:  " << fmin << endl; | 
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| 100 | *fLog << " Found edm: " << fedm << endl; | 
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| 101 | *fLog << " ErrDef:    " << errdef << endl; | 
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| 102 | *fLog << " Status:    "; | 
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| 103 | switch (istat) | 
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| 104 | { | 
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| 105 | case 0:  *fLog << "n/a" << endl; break; | 
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| 106 | case 1:  *fLog << "approximation only, not accurate" << endl; break; | 
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| 107 | case 2:  *fLog << "full matrix, but forced positive-definite" << endl; break; | 
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| 108 | case 3:  *fLog << "full accurate covariance matrix" << endl; break; | 
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| 109 | default: *fLog << "undefined" << endl; break; | 
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| 110 | } | 
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| 111 | } | 
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| 112 |  | 
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| 113 | if (fDebug>=0) | 
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| 114 | { | 
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| 115 | *fLog << inf << "Set(" << gMinuit->fMaxpar << "): "; | 
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| 116 | for (Int_t i=0; i<gMinuit->fMaxpar; i++) | 
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| 117 | *fLog << par[i] << " "; | 
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| 118 | *fLog << endl; | 
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| 119 | } | 
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| 120 |  | 
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| 121 | pars->SetVariables(TArrayD(gMinuit->fMaxpar, par)); | 
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| 122 |  | 
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| 123 | if (fDebug<3) | 
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| 124 | gLog.SetNullOutput(kTRUE); | 
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| 125 | fEvtLoop->Eventloop(fNumEvents); | 
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| 126 | if (fDebug<3) | 
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| 127 | gLog.SetNullOutput(kFALSE); | 
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| 128 |  | 
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| 129 | const Double_t f = eval->GetVal(); | 
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| 130 |  | 
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| 131 | if (fDebug>=0) | 
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| 132 | *fLog << inf << "F=" << f << endl; | 
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| 133 |  | 
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| 134 | if (fDebug>=1) | 
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| 135 | fEvtLoop->GetTaskList()->PrintStatistics(); | 
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| 136 |  | 
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| 137 | return f; | 
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| 138 | } | 
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| 139 |  | 
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| 140 | MTFitLoop::MTFitLoop(Int_t num) : fNum(num), fMaxIterations(1000) | 
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| 141 | { | 
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| 142 | fDebug     = -1; | 
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| 143 | fNumEvents = -1; | 
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| 144 | } | 
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| 145 |  | 
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| 146 | void MTFitLoop::Optimize(MEvtLoop &loop, TArrayD &pars) | 
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| 147 | { | 
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| 148 | *fLog << inf << "Event loop was setup" << endl; | 
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| 149 | MParList *parlist = loop.GetParList(); | 
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| 150 | if (!parlist) | 
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| 151 | return; | 
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| 152 |  | 
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| 153 | //    MParContainer *pars = (MParContainer*)parlist->FindObject(fParametersName); | 
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| 154 | //    if (!pars) | 
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| 155 | //        return; | 
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| 156 |  | 
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| 157 | fEvtLoop = &loop; | 
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| 158 |  | 
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| 159 | //    MParContainer ¶meters = *pars; | 
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| 160 |  | 
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| 161 | TMinuit *minsave = gMinuit; | 
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| 162 |  | 
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| 163 | gMinuit = new TMinuit(pars.GetSize()); | 
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| 164 | gMinuit->SetPrintLevel(-1); | 
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| 165 | gMinuit->SetMaxIterations(fMaxIterations); | 
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| 166 |  | 
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| 167 | gMinuit->SetFCN(fcn); | 
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| 168 | gMinuit->SetObjectFit(this); | 
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| 169 |  | 
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| 170 | // For chisq fits call this // seems to be something like %) | 
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| 171 | // | 
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| 172 | // The default tolerance is 0.1, and the minimization will stop"); | 
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| 173 | // when the estimated vertical distance to the minimum (EDM) is"); | 
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| 174 | // less than 0.001*[tolerance]*UP (see [SET ERRordef])."); | 
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| 175 | // | 
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| 176 | if (gMinuit->SetErrorDef(1)) | 
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| 177 | { | 
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| 178 | *fLog << err << dbginf << "SetErrorDef failed." << endl; | 
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| 179 | return; | 
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| 180 | } | 
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| 181 |  | 
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| 182 | // | 
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| 183 | // Set starting values and step sizes for parameters | 
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| 184 | // | 
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| 185 | for (Int_t i=0; i<pars.GetSize(); i++) | 
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| 186 | { | 
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| 187 | TString name = "par["; | 
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| 188 | name += i; | 
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| 189 | name += "]"; | 
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| 190 | Double_t vinit = pars[i]; | 
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| 191 | Double_t step  = fabs(pars[i]/3); | 
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| 192 |  | 
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| 193 | Double_t limlo = 0; // limlo=limup=0: no limits | 
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| 194 | Double_t limup = 2*vinit; | 
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| 195 |  | 
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| 196 | Bool_t rc = gMinuit->DefineParameter(i, name, vinit, step, 0, limup); | 
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| 197 | if (!rc) | 
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| 198 | continue; | 
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| 199 |  | 
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| 200 | *fLog << err << dbginf << "Error in defining parameter #" << i << endl; | 
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| 201 | return; | 
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| 202 | } | 
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| 203 |  | 
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| 204 | for (int i=0; i<pars.GetSize() && i<fFixedParams.GetSize(); i++) | 
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| 205 | if (fFixedParams[i]!=0) | 
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| 206 | gMinuit->FixParameter(i); | 
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| 207 |  | 
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| 208 | // Now ready for minimization step: | 
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| 209 |  | 
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| 210 | TStopwatch clock; | 
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| 211 | clock.Start(); | 
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| 212 | const Bool_t rc = gMinuit->Migrad(); | 
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| 213 | clock.Stop(); | 
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| 214 | clock.Print(); | 
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| 215 |  | 
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| 216 | if (rc) | 
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| 217 | { | 
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| 218 | *fLog << err << dbginf << "Migrad failed." << endl; | 
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| 219 | return; | 
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| 220 | } | 
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| 221 |  | 
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| 222 | *fLog << inf << "Resulting Chisq: " << gMinuit->fAmin << endl; | 
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| 223 |  | 
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| 224 | // | 
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| 225 | // Update values of fA, fB: | 
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| 226 | // | 
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| 227 | for (Int_t i=0; i<pars.GetSize(); i++) | 
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| 228 | { | 
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| 229 | Double_t x1, x2; | 
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| 230 | gMinuit->GetParameter(i,x1,x2); | 
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| 231 | pars[i] = x1; | 
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| 232 | cout << i << ": " << pars[i] << endl; | 
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| 233 | } | 
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| 234 |  | 
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| 235 | //list.SetVariables(pars); | 
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| 236 |  | 
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| 237 | gMinuit = minsave; | 
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| 238 | } | 
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