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