100 lines
4.2 KiB
C++
100 lines
4.2 KiB
C++
/***************************************************************************
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PRunBase.h
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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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#ifndef _PRUNBASE_H_
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#define _PRUNBASE_H_
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#include <vector>
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using namespace std;
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#include <TString.h>
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#include "PMusr.h"
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#include "PMsrHandler.h"
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#include "PRunDataHandler.h"
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#include "PTheory.h"
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//------------------------------------------------------------------------------------------
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/**
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* brauche ich eine base class um zwischen den verschiedenen run-modi unterscheiden zu können?
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* Ich meine:
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* - single histogram
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* - asymmetry
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* - RRF
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* - non muSR
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*
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* --> JA
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*
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* PTheory and PFunctions werden direkt für jeden run generiert, da man dann maps und functions
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* direkt für den spezifischen run umsetzen kann (da man eliminiert alle maps und functions). Dies
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* garantiert effiziente theory-Aufrufe da diese in chisq/maxlikelyhood x-fach aufgerufen werden.
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*/
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class PRunBase
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{
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public:
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PRunBase();
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PRunBase(PMsrHandler *msrInfo, PRunDataHandler *rawData, unsigned int runNo, EPMusrHandleTag tag);
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virtual ~PRunBase();
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virtual double CalcChiSquare(const vector<double>& par) = 0; // pure virtual, i.e. needs to be implemented by the deriving class!!
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virtual double CalcMaxLikelihood(const vector<double>& par) = 0; // pure virtual, i.e. needs to be implemented by the deriving class!!
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virtual void CalcTheory() = 0; // pure virtual, i.e. needs to be implemented by the deriving class!!
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virtual unsigned int GetRunNo() { return fRunNo; }
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virtual PRunData* GetData() { return &fData; }
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virtual void CleanUp();
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virtual bool IsValid() { return fValid; }
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protected:
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bool fValid;
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EPMusrHandleTag fHandleTag; ///< tag telling whether this is used for fit, view, ...
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int fRunNo; ///< number of the run within the msr file
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PMsrHandler *fMsrInfo; ///< msr-file handler
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PMsrRunStructure *fRunInfo; ///< run info used to filter out needed infos for the run
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PRunDataHandler *fRawData; ///< holds the raw run data
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PIntVector fParamNo; ///< vector of parameter numbers for the specifc run
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PRunData fData; ///< data to be fitted, viewed, i.e. binned data
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double fTimeResolution; ///< time resolution
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PIntVector fT0s; ///< all t0's of a run! The derived classes will handle it
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virtual bool PrepareData() = 0; // pure virtual, i.e. needs to be implemented by the deriving class!!
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PDoubleVector fFuncValues; ///< is keeping the values of the functions from the FUNCTIONS block
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PTheory *fTheory; ///< theory needed to calculate chi-square
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};
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#endif // _PRUNBASE_H_
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