musrfit/src/classes/PFitterFcn.cpp
2008-02-27 10:10:25 +00:00

113 lines
3.9 KiB
C++

/***************************************************************************
PFitterFcn.cpp
Author: Andreas Suter
e-mail: andreas.suter@psi.ch
$Id$
***************************************************************************/
/***************************************************************************
* Copyright (C) 2007 by Andreas Suter *
* andreas.suter@psi.c *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program; if not, write to the *
* Free Software Foundation, Inc., *
* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
***************************************************************************/
#include <iostream>
using namespace std;
#include "PFitterFcn.h"
//--------------------------------------------------------------------------
// Constructor
//--------------------------------------------------------------------------
/**
* <p>
*
* \param runList
* \param fitType
*/
PFitterFcn::PFitterFcn(PRunListCollection *runList, bool useChi2)
{
fUseChi2 = useChi2;
if (fUseChi2)
fUp = 1.0;
else
fUp = 0.5;
fRunListCollection = runList;
// check if max likelihood is used together with asymmetry/RRF/nonMusr data.
// if yes place a warning since this option is not implemented and a fall back
// to chi2 will be used.
if (!fUseChi2) {
if ((fRunListCollection->GetNoOfAsymmetry() > 0) ||
(fRunListCollection->GetNoOfRRF() > 0) ||
(fRunListCollection->GetNoOfNonMusr() > 0)) {
cout << endl << "**WARNING**: Maximum Log Likelihood Fit is only implemented for Single Histogram Fit";
cout << endl << " Will fall back to Chi Square Fit.";
cout << endl;
}
}
}
//--------------------------------------------------------------------------
// Destructor
//--------------------------------------------------------------------------
/**
* <p>
*/
PFitterFcn::~PFitterFcn()
{
}
//--------------------------------------------------------------------------
/**
* <p>
*
* \param par
*/
double PFitterFcn::operator()(const std::vector<double>& par) const
{
double value = 0.0;
if (fUseChi2) { // chi square
value += fRunListCollection->GetSingleHistoChisq(par);
value += fRunListCollection->GetAsymmetryChisq(par);
value += fRunListCollection->GetRRFChisq(par);
value += fRunListCollection->GetNonMusrChisq(par);
} else { // max likelihood
value += fRunListCollection->GetSingleHistoMaximumLikelihood(par);
value += fRunListCollection->GetAsymmetryMaximumLikelihood(par);
value += fRunListCollection->GetRRFMaximumLikelihood(par);
value += fRunListCollection->GetNonMusrMaximumLikelihood(par);
}
// cout << endl;
// for (unsigned int i=0; i<par.size(); i++) {
// cout << par[i] << ", ";
// }
//cout << endl << "chisq = " << value;
// cout << endl << "------" << endl;
return value;
}