/* ======================================================================== *\ ! ! * ! * This file is part of MARS, the MAGIC Analysis and Reconstruction ! * Software. It is distributed to you in the hope that it can be a useful ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes. ! * It is distributed WITHOUT ANY WARRANTY. ! * ! * Permission to use, copy, modify and distribute this software and its ! * documentation for any purpose is hereby granted without fee, ! * provided that the above copyright notice appear in all copies and ! * that both that copyright notice and this permission notice appear ! * in supporting documentation. It is provided "as is" without express ! * or implied warranty. ! * ! ! ! Author(s): Javier Lopez 05/2001 ! Author(s): Thomas Bretz 05/2001 ! ! Copyright: MAGIC Software Development, 2000-2001 ! ! \* ======================================================================== */ ///////////////////////////////////////////////////////////////////////////// // // MHMcDifRate // // This class holds the information (histogram and fit function) // about the energy threshold for a particular trigger condition. // //////////////////////////////////////////////////////////////////////////// #include "MHMcDifRate.h" #include #include #include "MH.h" #include "MBinning.h" #include "MHMcCollectionArea.h" ClassImp(MHMcDifRate); // ------------------------------------------------------------------------- // // Default Constructor. // MHMcDifRate::MHMcDifRate(const char *name, const char *title) : fHist() { fName = name ? name : "MHMcDifRate"; fTitle = title ? title : "Differential Trigger Rate"; // - we initialize the histogram // - we have to give diferent names for the diferent histograms because // root don't allow us to have diferent histograms with the same name fHist.SetName(fName); fHist.SetTitle(fTitle); fHist.SetDirectory(NULL); fHist.SetXTitle("E [GeV]"); fHist.SetYTitle("dR/dE [Hz/GeV]"); } void MHMcDifRate::SetName(const char *name) { fName = name; fHist.SetName(name); fHist.SetDirectory(NULL); } void MHMcDifRate::SetTitle(const char *title) { fTitle = title; fHist.SetTitle(title); } //------------------------------------------------------------------------- // // Defualt Destructor // MHMcDifRate::~MHMcDifRate() { } // ------------------------------------------------------------------------ // // Drawing function. It creates its own canvas. // void MHMcDifRate::Draw(Option_t *option) { if (!gPad) MH::MakeDefCanvas(&fHist); gPad->SetLogx(); fHist.Draw(option); gPad->Modified(); gPad->Update(); } TObject *MHMcDifRate::DrawClone(Option_t *option) const { TCanvas *c = MH::MakeDefCanvas(&fHist); c->SetLogx(); // // This is necessary to get the expected bahviour of DrawClone // gROOT->SetSelectedPad(NULL); ((TH1D&)fHist).DrawCopy(option); c->Modified(); c->Update(); return c; } /* void MHMcDifRate::Calc(const TH2D &hsel, const TH2D &hall) { // // Set the binning from the two axis of one of the two histograms // MH::SetBinning(&fHist, ((TH2D&)hsel).GetXaxis(), ((TH2D&)hsel).GetYaxis()); // // This is necessary to initialize thze error calculation correctly // (Nothing important: The histogram set the size of its internal // array storing the errors to the correct size) // fHist.Sumw2(); // // Calculate the efficiency by dividing the number of selected // (eg. triggered) showers by the number of all showers per bin. // Both histograms are weighted with weight 1, and for the error // calculation we assume a binomial error calculation. // fHist.Divide((TH2D*)&hsel, (TH2D*)&hall, 1, 1, "B"); SetReadyToSave(); } */ // -------------------------------------------------------------------------- // // Calculate the DifRate and set the 'ReadyToSave' flag. // The DifRate is calculated as the number of selected showers // (eg. triggered ones) divided by the number of all showers. // For error calculation Binomial errors are computed. // void MHMcDifRate::Calc(const MHMcCollectionArea &cola, const TF1 &spect) { /*const*/ TH1D &hcol = (TH1D&)*cola.GetHist(); fHist.Reset(); // // Set the binning from the two axis of one of the two histograms // MH::SetBinning(&fHist, hcol.GetXaxis()); // // This is necessary to initialize thze error calculation correctly // (Nothing important: The histogram set the size of its internal // array storing the errors to the correct size) // fHist.Sumw2(); fHist.Add(&hcol); fHist.Multiply((TF1*)&spect); SetReadyToSave(); }