452 lines
16 KiB
C++
452 lines
16 KiB
C++
/***************************************************************************
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PRunNonMusr.cpp
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Author: Andreas Suter
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e-mail: andreas.suter@psi.ch
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$Id$
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***************************************************************************/
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/***************************************************************************
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* Copyright (C) 2007 by Andreas Suter *
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* andreas.suter@psi.c *
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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* This program is distributed in the hope that it will be useful, *
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* but WITHOUT ANY WARRANTY; without even the implied warranty of *
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
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* GNU General Public License for more details. *
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* *
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* You should have received a copy of the GNU General Public License *
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* along with this program; if not, write to the *
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* Free Software Foundation, Inc., *
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* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
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***************************************************************************/
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#include <iostream>
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#include "PRunNonMusr.h"
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//--------------------------------------------------------------------------
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// Constructor
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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PRunNonMusr::PRunNonMusr() : PRunBase()
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{
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fFitStartTime = 0.0;
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fFitStopTime = 0.0;
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fNoOfFitBins = 0;
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fHandleTag = kEmpty;
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fRawRunData = 0;
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}
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//--------------------------------------------------------------------------
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// Constructor
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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* \param msrInfo pointer to the msr info structure
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* \param runNo number of the run of the msr-file
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*/
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PRunNonMusr::PRunNonMusr(PMsrHandler *msrInfo, PRunDataHandler *rawData, unsigned int runNo, EPMusrHandleTag tag) : PRunBase(msrInfo, rawData, runNo, tag)
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{
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// get the proper run
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fRawRunData = fRawData->GetRunData(fRunInfo->fRunName[0]);
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if (!fRawRunData) { // couldn't get run
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cout << endl << "PRunNonMusr::PRunNonMusr(): **ERROR** Couldn't get raw run data!";
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fValid = false;
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}
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// calculate fData
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if (!PrepareData())
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fValid = false;
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}
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//--------------------------------------------------------------------------
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// Destructor
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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PRunNonMusr::~PRunNonMusr()
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{
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}
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//--------------------------------------------------------------------------
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// CalcChiSquare
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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* \param par parameter vector iterated by minuit
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*/
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double PRunNonMusr::CalcChiSquare(const std::vector<double>& par)
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{
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double chisq = 0.0;
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double diff = 0.0;
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// calculate functions
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for (int i=0; i<fMsrInfo->GetNoOfFuncs(); i++) {
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fFuncValues[i] = fMsrInfo->EvalFunc(fMsrInfo->GetFuncNo(i), fRunInfo->fMap, par);
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}
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// calculate chi square
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double x;
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for (unsigned int i=0; i<fData.fValue.size(); i++) {
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x = fData.fX[i];
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if ((x>=fFitStartTime) && (x<=fFitStopTime)) {
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diff = fData.fValue[i] - fTheory->Func(x, par, fFuncValues);
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chisq += diff*diff / (fData.fError[i]*fData.fError[i]);
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}
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}
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//cout << endl << ">> chisq=" << chisq;
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return chisq;
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}
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//--------------------------------------------------------------------------
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// CalcMaxLikelihood
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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* \param par parameter vector iterated by minuit
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*/
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double PRunNonMusr::CalcMaxLikelihood(const std::vector<double>& par)
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{
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cout << endl << "PRunSingleHisto::CalcMaxLikelihood(): not implemented yet ..." << endl;
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return 1.0;
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}
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//--------------------------------------------------------------------------
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// CalcTheory
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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void PRunNonMusr::CalcTheory()
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{
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}
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//--------------------------------------------------------------------------
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// PrepareData
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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bool PRunNonMusr::PrepareData()
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{
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bool success = true;
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cout << endl << "in PRunNonMusr::PrepareData(): will feed fFitData";
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if (fRunInfo->fRunName.size() > 1) { // ADDRUN present which is not supported for NonMusr
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cout << endl << ">> PRunNonMusr::PrepareData(): **WARNING** ADDRUN NOT SUPPORTED FOR THIS FIT TYPE, WILL IGNORE IT." << endl;
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}
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if (fHandleTag == kFit)
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success = PrepareFitData();
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else if (fHandleTag == kView)
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success = PrepareViewData();
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else
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success = false;
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return success;
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}
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//--------------------------------------------------------------------------
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// PrepareFitData
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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bool PRunNonMusr::PrepareFitData()
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{
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bool success = true;
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// keep start/stop time for fit: here the meaning is of course start x, stop x
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fFitStartTime = fRunInfo->fFitRange[0];
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fFitStopTime = fRunInfo->fFitRange[1];
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// get x-, y-index
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unsigned int xIndex = GetXIndex();
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unsigned int yIndex = GetYIndex();
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// cout << endl << ">> xIndex=" << xIndex << ", yIndex=" << yIndex;
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// pack the raw data
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double value = 0.0;
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double err = 0.0;
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// cout << endl << ">> fRawRunData->fDataNonMusr.fData[" << xIndex << "].size()=" << fRawRunData->fDataNonMusr.fData[xIndex].size();
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for (unsigned int i=0; i<fRawRunData->fDataNonMusr.fData[xIndex].size(); i++) {
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// cout << endl << ">> i=" << i << ", packing=" << fRunInfo->fPacking;
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if (fRunInfo->fPacking == 1) {
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fData.fX.push_back(fRawRunData->fDataNonMusr.fData[xIndex][i]);
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fData.fValue.push_back(fRawRunData->fDataNonMusr.fData[yIndex][i]);
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fData.fError.push_back(fRawRunData->fDataNonMusr.fErrData[yIndex][i]);
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} else { // packed data, i.e. fRunInfo->fPacking > 1
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if ((i % fRunInfo->fPacking == 0) && (i != 0)) { // fill data
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// cout << endl << "-> i=" << i;
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fData.fX.push_back(fRawRunData->fDataNonMusr.fData[xIndex][i]-(fRawRunData->fDataNonMusr.fData[xIndex][i]-fRawRunData->fDataNonMusr.fData[xIndex][i-fRunInfo->fPacking])/2.0);
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fData.fValue.push_back(value);
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fData.fError.push_back(TMath::Sqrt(err));
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value = 0.0;
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err = 0.0;
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}
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// sum raw data values
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value += fRawRunData->fDataNonMusr.fData[yIndex][i];
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err += fRawRunData->fDataNonMusr.fErrData[yIndex][i]*fRawRunData->fDataNonMusr.fErrData[yIndex][i];
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}
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}
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// cout << endl << ">> fData.fValue.size()=" << fData.fValue.size();
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// count the number of bins to be fitted
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fNoOfFitBins=0;
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double x;
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for (unsigned int i=0; i<fData.fValue.size(); i++) {
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x = fData.fX[i];
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if ((x >= fFitStartTime) && (x <= fFitStopTime))
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fNoOfFitBins++;
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}
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// cout << endl << ">> fNoOfFitBins=" << fNoOfFitBins;
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return success;
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}
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//--------------------------------------------------------------------------
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// PrepareViewData
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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bool PRunNonMusr::PrepareViewData()
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{
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bool success = true;
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// cout << endl << ">> fRunInfo->fRunName = " << fRunInfo->fRunName[0].Data();
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// get x-, y-index
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unsigned int xIndex = GetXIndex();
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unsigned int yIndex = GetYIndex();
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// cout << endl << "PRunNonMusr::PrepareViewData: xIndex=" << xIndex << ", yIndex=" << yIndex << endl;
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// fill data histo
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// pack the raw data
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double value = 0.0;
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double err = 0.0;
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// cout << endl << ">> fRawRunData->fDataNonMusr.fData[" << xIndex << "].size()=" << fRawRunData->fDataNonMusr.fData[xIndex].size();
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for (unsigned int i=0; i<fRawRunData->fDataNonMusr.fData[xIndex].size(); i++) {
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// cout << endl << ">> i=" << i << ", packing=" << fRunInfo->fPacking;
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if (fRunInfo->fPacking == 1) {
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fData.fX.push_back(fRawRunData->fDataNonMusr.fData[xIndex][i]);
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fData.fValue.push_back(fRawRunData->fDataNonMusr.fData[yIndex][i]);
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fData.fError.push_back(fRawRunData->fDataNonMusr.fErrData[yIndex][i]);
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} else { // packed data, i.e. fRunInfo->fPacking > 1
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if ((i % fRunInfo->fPacking == 0) && (i != 0)) { // fill data
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// cout << endl << "-> i=" << i;
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fData.fX.push_back(fRawRunData->fDataNonMusr.fData[xIndex][i]-(fRawRunData->fDataNonMusr.fData[xIndex][i]-fRawRunData->fDataNonMusr.fData[xIndex][i-fRunInfo->fPacking])/2.0);
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fData.fValue.push_back(value);
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fData.fError.push_back(TMath::Sqrt(err));
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value = 0.0;
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err = 0.0;
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}
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// sum raw data values
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value += fRawRunData->fDataNonMusr.fData[yIndex][i];
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err += fRawRunData->fDataNonMusr.fErrData[yIndex][i]*fRawRunData->fDataNonMusr.fErrData[yIndex][i];
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}
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}
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// cout << endl << ">> fData.fValue.size()=" << fData.fValue.size();
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// count the number of bins to be fitted
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fNoOfFitBins = fData.fValue.size();
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// cout << endl << ">> fNoOfFitBins=" << fNoOfFitBins;
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// fill theory histo
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// feed the parameter vector
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std::vector<double> par;
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PMsrParamList *paramList = fMsrInfo->GetMsrParamList();
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for (unsigned int i=0; i<paramList->size(); i++)
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par.push_back((*paramList)[i].fValue);
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// calculate functions
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for (int i=0; i<fMsrInfo->GetNoOfFuncs(); i++) {
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fFuncValues[i] = fMsrInfo->EvalFunc(fMsrInfo->GetFuncNo(i), fRunInfo->fMap, par);
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}
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// cout << endl << ">> after parameter fill" << endl;
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// get plot range
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PMsrPlotList *plotList;
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PMsrPlotStructure plotBlock;
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plotList = fMsrInfo->GetMsrPlotList();
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// find the proper plot block
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// Here a small complication has to be handled: there are potentially multiple
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// run blocks and the run might be present in various of these run blocks. In
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// order to get a nice resolution on the theory the following procedure will be
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// followed: the smallest x-interval found will be used to for the fXTheory resolution
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// which is 1000 function points. The function will be calculated from the smallest
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// xmin found up to the largest xmax found.
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Double_t xMin = 0.0, xMax = 0.0;
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Double_t xAbsMin = 0.0, xAbsMax = 0.0;
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bool first = true;
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// cout << endl << ">> plotList->size()=" << plotList->size();
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for (unsigned int i=0; i<plotList->size(); i++) {
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plotBlock = plotList->at(i);
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// cout << endl << ">> plotBlock.fRuns.size()=" << plotBlock.fRuns.size() << endl;
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for (unsigned int j=0; j<plotBlock.fRuns.size(); j++) {
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// cout << endl << ">> j=" << j;
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// cout << endl << ">> fRunNo=" << fRunNo;
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// cout << endl << ">> plotBlock.fRuns[j].Re()=" << plotBlock.fRuns[j].Re();
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// cout << endl;
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if (fRunNo == plotBlock.fRuns[j].Re()-1) { // run found
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if (first) {
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first = false;
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xMin = plotBlock.fTmin;
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xMax = plotBlock.fTmax;
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xAbsMin = xMin;
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xAbsMax = xMax;
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// cout << endl << ">> first: xMin=" << xMin << ", xMax=" << xMax << endl;
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} else {
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if (fabs(xMax-xMin) > fabs(plotBlock.fTmax-plotBlock.fTmin)) {
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xMin = plotBlock.fTmin;
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xMax = plotBlock.fTmax;
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}
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if (xMin < xAbsMin)
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xAbsMin = xMin;
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if (xMax > xAbsMax)
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xAbsMax = xMax;
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// cout << endl << ">> !first: xMin=" << xMin << ", xMax=" << xMax << endl;
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}
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// cout << endl << ">> xMin=" << xMin << ", xMax=" << xMax << endl;
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}
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}
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}
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// cout << endl << ">> after the xmin/xmax loop." << endl;
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// typically take 1000 points to calculate the theory, except if there are more data points, than take that number
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double xStep;
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if (fData.fX.size() > 1000.0)
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xStep = (xMax-xMin)/fData.fX.size();
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else
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xStep = (xMax-xMin)/1000.0;
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double xx = xAbsMin;
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do {
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// fill x-vector
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fData.fXTheory.push_back(xx);
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// fill y-vector
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fData.fTheory.push_back(fTheory->Func(xx, par, fFuncValues));
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// calculate next xx
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xx += xStep;
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} while (xx < xAbsMax);
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// clean up
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par.clear();
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return success;
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}
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//--------------------------------------------------------------------------
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// GetXIndex
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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unsigned int PRunNonMusr::GetXIndex()
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{
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unsigned int index = 0;
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bool found = false;
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//cout << endl << ">> PRunNonMusr::GetXIndex: fRawRunData->fDataNonMusr.fXIndex = " << fRawRunData->fDataNonMusr.fXIndex;
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if (fRawRunData->fDataNonMusr.fXIndex >= 0) { // ascii-file format
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//cout << endl << ">> PRunNonMusr::GetXIndex: ascii-file format";
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index = fRawRunData->fDataNonMusr.fXIndex;
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found = true;
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} else { // db-file format
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//cout << endl << ">> PRunNonMusr::GetXIndex: db-file format";
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if (fRunInfo->fXYDataIndex[0] > 0) { // xy-data already indices
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//cout << endl << ">> PRunNonMusr::GetXIndex: xy-data are already indices, i.e. not labels";
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index = fRunInfo->fXYDataIndex[0]-1; // since xy-data start with 1 ...
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found = true;
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} else { // xy-data data tags which needs to be converted to an index
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//cout << endl << ">> fDataTags.size()=" << fRawRunData->fDataNonMusr.fDataTags.size();
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for (unsigned int i=0; i<fRawRunData->fDataNonMusr.fDataTags.size(); i++) {
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if (fRawRunData->fDataNonMusr.fDataTags[i].CompareTo(fRunInfo->fXYDataLabel[0]) == 0) {
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//cout << endl << ">> i=" << i << ", fRawRunData->fDataNonMusr.fDataTags[i]=" << fRawRunData->fDataNonMusr.fDataTags[i].Data();
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//cout << endl << ">> fRunInfo->fXYDataLabel[0]=" << fRunInfo->fXYDataLabel[0].Data();
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index = i;
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found = true;
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break;
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}
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}
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}
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}
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if (!found) {
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cout << endl << "PRunNonMusr::GetXIndex(): **ERROR** Couldn't obtain x-data index!";
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cout << endl;
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assert(0);
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}
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return index;
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}
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//--------------------------------------------------------------------------
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// GetYIndex
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//--------------------------------------------------------------------------
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/**
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* <p>
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*
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*/
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unsigned int PRunNonMusr::GetYIndex()
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{
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unsigned int index = 0;
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bool found = false;
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// cout << endl << ">> PRunNonMusr::GetYIndex:";
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if (fRawRunData->fDataNonMusr.fYIndex >= 0) { // ascii-file format
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index = fRawRunData->fDataNonMusr.fYIndex;
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found = true;
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} else { // db-file format
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if (fRunInfo->fXYDataIndex[1] > 0) { // xy-data already indices
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index = fRunInfo->fXYDataIndex[1]-1; // since xy-data start with 1 ...
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found = true;
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} else { // xy-data data tags which needs to be converted to an index
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for (unsigned int i=0; i<fRawRunData->fDataNonMusr.fDataTags.size(); i++) {
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if (fRawRunData->fDataNonMusr.fDataTags[i].CompareTo(fRunInfo->fXYDataLabel[1]) == 0) {
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// cout << endl << ">> i=" << i << ", fRawRunData->fDataNonMusr.fDataTags[i]=" << fRawRunData->fDataNonMusr.fDataTags[i].Data();
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// cout << endl << ">> fRunInfo->fXYDataLabel[1]=" << fRunInfo->fXYDataLabel[1].Data();
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index = i;
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found = true;
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break;
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}
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}
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}
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}
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if (!found) {
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cout << endl << "PRunNonMusr::GetYIndex(): **ERROR** Couldn't obtain y-data index!";
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cout << endl;
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assert(0);
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}
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return index;
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}
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