/* ======================================================================== *\ ! ! * ! * 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): Harald Kornmayer 1/2001 (harald@mppmu.mpg.de) ! Author(s): Thomas Bretz 12/2000 (tbretz@uni-sw.gwdg.de) ! ! Copyright: MAGIC Software Development, 2000-2001 ! ! \* ======================================================================== */ ///////////////////////////////////////////////////////////////////////////// // // MImgCleanStd // // This is the standard image cleaning. If you want to know how it works // Please look at the three CleanSteps and Process // ///////////////////////////////////////////////////////////////////////////// #include "MImgCleanStd.h" #include "MLog.h" #include "MLogManip.h" #include "MParList.h" #include "MGeomCam.h" #include "MCerPhotPix.h" #include "MCerPhotEvt.h" ClassImp(MImgCleanStd) // -------------------------------------------------------------------------- // // Default constructor. Here you can specify the cleaning levels. If you // don't specify them the 'common standard' values 2.5 and 3.0 (sigma // above mean) are used // MImgCleanStd::MImgCleanStd(const Float_t lvl1, const Float_t lvl2, const char *name, const char *title) : fCleanLvl1(lvl1), fCleanLvl2(lvl2) { *fName = name ? name : "MImgCleanStd"; *fTitle = title ? title : "Task which does a standard image cleaning"; *fLog << "Cleaning initialized. Using noise level " << lvl1 << " and " << lvl2 << endl; } // -------------------------------------------------------------------------- // // This method looks for all pixels with an entry (photons) // that is three times bigger than the noise of the pixel // (std: 3 sigma, clean level 1) // void MImgCleanStd::CleanStep1() { const Int_t entries = fEvt->GetNumPixels(); // // check the number of all pixels against the noise level and // set them to 'unused' state if necessary // for (Int_t i=0; iIsPixelUsed(id2)) cnt++; } // // check if no next neighbor has the state 'used' // set this pixel to 'unused', too. // if (cnt==0) pix.SetPixelUnused(); } // // now we declare all pixels that survive as CorePixels // for (Int_t i=0; iGetNumPixels(); for (Int_t i=0; iIsPixelCore(id2)) continue; pix.SetPixelUsed(); break ; } } } // -------------------------------------------------------------------------- // // check if MEvtHeader exists in the Parameter list already. // if not create one and add them to the list // Bool_t MImgCleanStd::PreProcess (MParList *pList) { fCam = (MGeomCam*)pList->FindObject("MGeomCam"); if (!fCam) { *fLog << dbginf << "MGeomCam not found (no geometry information available)... aborting." << endl; return kFALSE; } fEvt = (MCerPhotEvt*)pList->FindObject("MCerPhotEvt"); if (!fEvt) { *fLog << dbginf << "MCerPhotEvt not found... aborting." << endl; return kFALSE; } return kTRUE; } // -------------------------------------------------------------------------- // // Cleans the image. // Bool_t MImgCleanStd::Process() { CleanStep1(); CleanStep2(); CleanStep3(); return kTRUE; }