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