obtained from the data files. Currently the following meta information can be accessed if available: field in (G): B or b energy in (keV): En or en temperature in (K): since some data files contain a vector of temperature, they have to be accessed with an index, like T0 or t0, etc.
268 lines
9.1 KiB
C++
268 lines
9.1 KiB
C++
/***************************************************************************
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PRunBase.cpp
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Author: Andreas Suter
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e-mail: andreas.suter@psi.ch
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***************************************************************************/
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/***************************************************************************
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* Copyright (C) 2007-2020 by Andreas Suter *
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* andreas.suter@psi.ch *
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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 <TROOT.h>
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#include <TSystem.h>
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#include <TString.h>
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#include <TObjArray.h>
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#include <TObjString.h>
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#include <TFolder.h>
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#include "PRunBase.h"
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//--------------------------------------------------------------------------
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// Constructor
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//--------------------------------------------------------------------------
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/**
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* <p>Constructor. Needed otherwise vector's cannot be generated ;-)
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*/
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PRunBase::PRunBase()
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{
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fRunNo = -1;
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fRunInfo = nullptr;
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fRawData = nullptr;
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fMetaData.fField = PMUSR_UNDEFINED;
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fMetaData.fEnergy = PMUSR_UNDEFINED;
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fTimeResolution = -1.0;
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fFitStartTime = PMUSR_UNDEFINED;
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fFitEndTime = PMUSR_UNDEFINED;
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fValid = true;
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fHandleTag = kEmpty;
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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>Constructor.
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*
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* \param msrInfo pointer to the msr-file handler
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* \param rawData pointer to the raw-data handler
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* \param runNo msr-file run number
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* \param tag tag telling if fit, view, or rrf representation is whished.
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*/
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PRunBase::PRunBase(PMsrHandler *msrInfo, PRunDataHandler *rawData, UInt_t runNo, EPMusrHandleTag tag) :
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fHandleTag(tag), fMsrInfo(msrInfo), fRawData(rawData)
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{
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fValid = true;
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fRunNo = static_cast<Int_t>(runNo);
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if (runNo > fMsrInfo->GetMsrRunList()->size()) {
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fRunInfo = nullptr;
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return;
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}
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// keep the run header info for this run
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fRunInfo = &(*fMsrInfo->GetMsrRunList())[runNo];
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// check the parameter and map range of the functions
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if (!fMsrInfo->CheckMapAndParamRange(static_cast<UInt_t>(fRunInfo->GetMap()->size()), fMsrInfo->GetNoOfParams())) {
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std::cerr << std::endl << "**SEVERE ERROR** PRunBase::PRunBase: map and/or parameter out of range in FUNCTIONS." << std::endl;
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exit(0);
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}
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// init private variables
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fMetaData.fField = PMUSR_UNDEFINED;
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fMetaData.fEnergy = PMUSR_UNDEFINED;
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fTimeResolution = -1.0;
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for (Int_t i=0; i<fMsrInfo->GetNoOfFuncs(); i++)
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fFuncValues.push_back(0.0);
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// generate theory
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fTheory = new PTheory(fMsrInfo, runNo);
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if (fTheory == nullptr) {
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std::cerr << std::endl << "**SEVERE ERROR** PRunBase::PRunBase: Couldn't create an instance of PTheory :-(, will quit" << std::endl;
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exit(0);
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}
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if (!fTheory->IsValid()) {
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std::cerr << std::endl << "**SEVERE ERROR** PRunBase::PRunBase: Theory is not valid :-(, will quit" << std::endl;
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exit(0);
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}
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// set fit time ranges
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fFitStartTime = PMUSR_UNDEFINED;
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fFitEndTime = PMUSR_UNDEFINED;
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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>Destructor.
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*/
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PRunBase::~PRunBase()
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{
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fT0s.clear();
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for (UInt_t i=0; i<fAddT0s.size(); i++)
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fAddT0s[i].clear();
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fAddT0s.clear();
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fFuncValues.clear();
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}
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//--------------------------------------------------------------------------
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// SetFitRange (public)
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//--------------------------------------------------------------------------
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/**
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* <p> Sets the current fit range, and recalculated the number of fitted bins
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*
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* \param fitRange vector with fit ranges
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*/
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void PRunBase::SetFitRange(PDoublePairVector fitRange)
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{
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Double_t start=0.0, end=0.0;
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assert(fitRange.size()); // make sure fitRange is not empty
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if (fitRange.size()==1) { // one fit range for all
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start = fitRange[0].first;
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end = fitRange[0].second;
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} else {
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// check that fRunNo is found within fitRange
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UInt_t idx=static_cast<UInt_t>(fRunNo);
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if (idx < fitRange.size()) { // fRunNo present
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start = fitRange[idx].first;
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end = fitRange[idx].second;
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} else { // fRunNo NOT present
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std::cerr << std::endl << ">> PRunBase::SetFitRange(): **ERROR** msr-file run entry " << fRunNo << " not present in fit range vector.";
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std::cerr << std::endl << ">> Will not do anything! Please check, this shouldn't happen." << std::endl;
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return;
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}
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}
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// check that start is before end
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if (start > end) {
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std::cerr << std::endl << ">> PRunBase::SetFitRange(): **WARNING** start=" << start << " is > as end=" << end;
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std::cerr << std::endl << ">> Will swap them, since otherwise chisq/logLH == 0.0" << std::endl;
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fFitStartTime = end;
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fFitEndTime = start;
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} else {
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fFitStartTime = start;
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fFitEndTime = end;
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}
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}
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//--------------------------------------------------------------------------
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// CleanUp (public)
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//--------------------------------------------------------------------------
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/**
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* <p> Clean up all locally allocate memory
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*/
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void PRunBase::CleanUp()
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{
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if (fTheory) {
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delete fTheory;
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fTheory = nullptr;
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}
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}
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//--------------------------------------------------------------------------
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// CalculateKaiserFilterCoeff (protected)
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//--------------------------------------------------------------------------
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/**
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* <p>Calculates the Kaiser filter coefficients for a low pass filter with
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* a cut off frequency wc.
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* For details see "Zeitdiskrete Signalverarbeitung", A.V. Oppenheim, R.W. Schafer, J.R. Buck. Pearson 2004.
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*
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* \param wc cut off frequency
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* \param A defined as \f$ A = -\log_{10}(\delta) \f$, where \f$\delta\f$ is the tolerance band.
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* \param dw defined as \f$ \Delta\omega = \omega_{\rm S} - \omega_{\rm P} \f$, where \f$ \omega_{\rm S} \f$ is the
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* stop band frequency, and \f$ \omega_{\rm P} \f$ is the pass band frequency.
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*/
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void PRunBase::CalculateKaiserFilterCoeff(Double_t wc, Double_t A, Double_t dw)
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{
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Double_t beta;
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Double_t dt = fData.GetTheoryTimeStep();
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Int_t m;
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// estimate beta (see reference above, p.574ff)
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if (A > 50.0) {
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beta = 0.1102*(A-8.7);
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} else if ((A >= 21.0) && (A <= 50.0)) {
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beta = 0.5842*TMath::Power(A-21.0, 0.4) + 0.07886*(A-21.0);
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} else {
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beta = 0.0;
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}
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m = TMath::FloorNint((A-8.0)/(2.285*dw*TMath::Pi()));
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// make sure m is odd
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if (m % 2 == 0)
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m++;
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Double_t alpha = static_cast<Double_t>(m)/2.0;
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Double_t dval;
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Double_t dsum = 0.0;
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for (Int_t i=0; i<=m; i++) {
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dval = TMath::Sin(wc*(i-alpha)*dt)/(TMath::Pi()*(i-alpha)*dt);
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dval *= TMath::BesselI0(beta*TMath::Sqrt(1.0-TMath::Power((i-alpha)*dt/alpha, 2.0)))/TMath::BesselI0(beta);
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dsum += dval;
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fKaiserFilter.push_back(dval);
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}
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for (UInt_t i=0; i<=static_cast<UInt_t>(m); i++) {
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fKaiserFilter[i] /= dsum;
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}
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}
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//--------------------------------------------------------------------------
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// FilterTheo (protected)
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//--------------------------------------------------------------------------
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/**
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* <p>Filters the theory with a Kaiser FIR filter.
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*/
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void PRunBase::FilterTheo()
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{
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PDoubleVector theoFiltered;
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Double_t dval = 0.0;
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const PDoubleVector *theo = fData.GetTheory();
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for (UInt_t i=0; i<theo->size(); i++) {
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for (UInt_t j=0; j<fKaiserFilter.size(); j++) {
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if (i<j)
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dval = 0.0;
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else
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dval += fKaiserFilter[j]*theo->at(i-j);
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}
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theoFiltered.push_back(dval);
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dval = 0.0;
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}
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fData.ReplaceTheory(theoFiltered);
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// shift time start by half the filter length
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dval = fData.GetTheoryTimeStart() - 0.5*static_cast<Double_t>(fKaiserFilter.size())*fData.GetTheoryTimeStep();
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fData.SetTheoryTimeStart(dval);
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theoFiltered.clear();
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}
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