| 1 | /* ======================================================================== *\ | 
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| 2 | ! | 
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| 3 | ! * | 
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| 4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction | 
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| 5 | ! * Software. It is distributed to you in the hope that it can be a useful | 
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| 6 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes. | 
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| 7 | ! * It is distributed WITHOUT ANY WARRANTY. | 
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| 8 | ! * | 
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| 9 | ! * Permission to use, copy, modify and distribute this software and its | 
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| 10 | ! * documentation for any purpose is hereby granted without fee, | 
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| 11 | ! * provided that the above copyright notice appear in all copies and | 
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| 12 | ! * that both that copyright notice and this permission notice appear | 
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| 13 | ! * in supporting documentation. It is provided "as is" without express | 
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| 14 | ! * or implied warranty. | 
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| 15 | ! * | 
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| 16 | ! | 
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| 17 | ! | 
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| 18 | !   Author(s): Robert Wagner, 10/2002   <mailto:magicsoft@rwagner.de> | 
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| 19 | !   Author(s): Wolfgang Wittek, 01/2003 <mailto:wittek@mppmu.mpg.de> | 
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| 20 | !   Author(s): Thomas Bretz, 04/2003    <mailto:tbretz@astro.uni-wuerzburg.de> | 
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| 21 | ! | 
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| 22 | !   Copyright: MAGIC Software Development, 2000-2003 | 
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| 23 | ! | 
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| 24 | ! | 
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| 25 | \* ======================================================================== */ | 
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| 26 |  | 
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| 27 | ///////////////////////////////////////////////////////////////////////////// | 
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| 28 | //                                                                         // | 
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| 29 | //  MPadding                                                               // | 
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| 30 | //  (developped from MApplyPadding)                                        // | 
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| 31 | //                                                                         // | 
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| 32 | //  This task applies padding to a given Sigmabar target value.            // | 
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| 33 | //  The task checks whether the data stream it is applied to has to be     // | 
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| 34 | //  padded or not and if so, Gaussian noise with the difference in Sigma   // | 
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| 35 | //  is produced and added to the particular event. The number of photons,  // | 
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| 36 | //  its error and the pedestal sigmas are altered.                         // | 
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| 37 | //                                                                         // | 
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| 38 | //  The padding has to be done before the image cleaning because the       // | 
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| 39 | //  image cleaning depends on the pedestal sigmas.                         // | 
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| 40 | //                                                                         // | 
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| 41 | //  There are several ways of defining the sigmabar value to which the     // | 
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| 42 | //  events are padded:                                                     // | 
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| 43 | //                                                                         // | 
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| 44 | //  1) Set a fixed level (fFixedSigmabar) by calling 'SetTargetLevel'.     // | 
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| 45 | //                                                                         // | 
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| 46 | //  2) By calling 'SetDefiningHistogram', give a TH1D histogram            // | 
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| 47 | //     (fHSigmabarMax) which defines the Sigmabar as a function of Theta.  // | 
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| 48 | //                                                                         // | 
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| 49 | //  3) By calling 'SetSigmaThetaHist', give a TH2D histogram               // | 
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| 50 | //     (fHSigmaTheta) which contains the Sigmabar distribution for the     // | 
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| 51 | //     different bins in Theta. For a given event, the sigmabar value to   // | 
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| 52 | //     be used for the padding is thrown from this distribution.           // | 
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| 53 | //                                                                         // | 
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| 54 | //  Workaround :                                                           // | 
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| 55 | //  If none of these options is specified then PreProcess will try to read // | 
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| 56 | //  in a propriety format ASCII database for the CT1 test. The name of     // | 
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| 57 | //  this file is set by 'SetDatabaseFile'. From the data in this file a    // | 
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| 58 | //  TH1D histogram (fHSigmabarMax) is generated.                           // | 
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| 59 | //                                                                         // | 
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| 60 | //  This implementation is still PRELIMINARY and requires some workarounds // | 
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| 61 | //  put in SPECIFICALLY FOR THE CT1 TESTS, since a database to access is   // | 
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| 62 | //  missing. It is not the FINAL MAGIC VERSION.                            // | 
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| 63 | //                                                                         // | 
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| 64 | //  For random numbers gRandom is used.                                    // | 
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| 65 | //                                                                         // | 
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| 66 | ///////////////////////////////////////////////////////////////////////////// | 
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| 67 | #include "MPadding.h" | 
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| 68 |  | 
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| 69 | #include <stdio.h> | 
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| 70 |  | 
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| 71 | #include <TH1.h> | 
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| 72 | #include <TH2.h> | 
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| 73 | #include <TH3.h> | 
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| 74 | #include <TRandom.h> | 
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| 75 | #include <TCanvas.h> | 
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| 76 | #include <TProfile.h> | 
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| 77 |  | 
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| 78 | #include "MH.h" | 
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| 79 | #include "MBinning.h" | 
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| 80 |  | 
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| 81 | #include "MSigmabar.h" | 
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| 82 |  | 
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| 83 | #include "MMcEvt.hxx" | 
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| 84 |  | 
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| 85 | #include "MParList.h" | 
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| 86 |  | 
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| 87 | #include "MLog.h" | 
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| 88 | #include "MLogManip.h" | 
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| 89 |  | 
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| 90 | #include "MGeomCam.h" | 
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| 91 |  | 
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| 92 | #include "MCerPhotEvt.h" | 
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| 93 | #include "MCerPhotPix.h" | 
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| 94 |  | 
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| 95 | #include "MPedPhotCam.h" | 
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| 96 | #include "MPedPhotPix.h" | 
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| 97 |  | 
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| 98 | ClassImp(MPadding); | 
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| 99 |  | 
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| 100 | using namespace std; | 
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| 101 |  | 
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| 102 | // -------------------------------------------------------------------------- | 
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| 103 | // | 
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| 104 | // Default constructor. | 
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| 105 | // | 
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| 106 | MPadding::MPadding(const char *name, const char *title) | 
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| 107 | : fRunType(0), fGroup(0), fFixedSigmabar(0), fHSigMaxAllocated(kFALSE), fHSigmabarMax(NULL), fHSigmaTheta(NULL) | 
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| 108 | { | 
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| 109 | fName  = name  ? name  : "MPadding"; | 
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| 110 | fTitle = title ? title : "Task for the padding"; | 
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| 111 |  | 
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| 112 | //-------------------------------------------------------------------- | 
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| 113 | // plot pedestal sigmas for testing purposes | 
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| 114 | fHSigmaPedestal = new TH2D("SigPed", "Padded vs orig. sigma", | 
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| 115 | 100, 0.0, 5.0, 100, 0.0, 5.0); | 
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| 116 | fHSigmaPedestal->SetXTitle("Orig. Pedestal sigma"); | 
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| 117 | fHSigmaPedestal->SetYTitle("Padded Pedestal sigma"); | 
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| 118 |  | 
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| 119 | // plot no.of photons (before vs. after padding) for testing purposes | 
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| 120 | fHPhotons = new TH2D("Photons", "Photons after vs.before padding", | 
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| 121 | 100, -10.0, 90.0, 100, -10, 90); | 
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| 122 | fHPhotons->SetXTitle("No.of photons before padding"); | 
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| 123 | fHPhotons->SetYTitle("No.of photons after padding"); | 
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| 124 |  | 
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| 125 | // plot of added NSB | 
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| 126 | fHNSB = new TH1D("NSB", "Distribution of added NSB", 100, -10.0, 10.0); | 
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| 127 | fHNSB->SetXTitle("No.of added NSB photons"); | 
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| 128 | fHNSB->SetYTitle("No.of pixels"); | 
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| 129 |  | 
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| 130 | fHSigmaOld = new TH2D; | 
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| 131 | fHSigmaOld->SetNameTitle("fHSigmaOld", "Sigma before padding"); | 
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| 132 | fHSigmaOld->SetXTitle("Theta"); | 
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| 133 | fHSigmaOld->SetYTitle("Sigma"); | 
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| 134 |  | 
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| 135 | fHSigmaNew = new TH2D; | 
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| 136 | fHSigmaNew->SetNameTitle("fHSigmaNew", "Sigma after padding"); | 
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| 137 | fHSigmaNew->SetXTitle("Theta"); | 
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| 138 | fHSigmaNew->SetYTitle("Sigma"); | 
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| 139 | } | 
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| 140 |  | 
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| 141 | // -------------------------------------------------------------------------- | 
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| 142 | // | 
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| 143 | // Destructor. | 
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| 144 | // | 
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| 145 | MPadding::~MPadding() | 
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| 146 | { | 
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| 147 | delete fHSigmaPedestal; | 
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| 148 | delete fHPhotons; | 
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| 149 | delete fHNSB; | 
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| 150 | delete fHSigmaOld; | 
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| 151 | delete fHSigmaNew; | 
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| 152 | if (fHSigMaxAllocated && fHSigmabarMax) | 
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| 153 | delete fHSigmabarMax; | 
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| 154 | } | 
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| 155 |  | 
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| 156 | // -------------------------------------------------------------------------- | 
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| 157 | // | 
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| 158 | // You can provide a TH1D* histogram containing | 
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| 159 | //     - the target Sigmabar in bins of theta. | 
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| 160 | // Be sure to use the same binning as for the analysis | 
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| 161 | // | 
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| 162 | Bool_t MPadding::SetDefiningHistogram(TH1D *histo) | 
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| 163 | { | 
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| 164 | if (fHSigmabarMax) | 
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| 165 | { | 
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| 166 | *fLog << warn << "MPadding - SigmabarMax already set."; | 
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| 167 | return kFALSE; | 
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| 168 | } | 
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| 169 |  | 
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| 170 | fHSigmabarMax  = histo; | 
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| 171 |  | 
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| 172 | fFixedSigmabar = 0; | 
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| 173 | fHSigmaTheta   = NULL; | 
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| 174 |  | 
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| 175 | *fLog << inf << "MPadding - Use Defining Histogram."; | 
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| 176 |  | 
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| 177 | return kTRUE; | 
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| 178 | } | 
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| 179 |  | 
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| 180 | // -------------------------------------------------------------------------- | 
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| 181 | // | 
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| 182 | // You can provide a TH2D* histogram containing | 
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| 183 | //     - the Sigmabar distribution in bins of theta. | 
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| 184 | // | 
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| 185 | Bool_t MPadding::SetSigmaThetaHist(TH2D *histo) | 
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| 186 | { | 
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| 187 | if (fHSigmaTheta) | 
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| 188 | { | 
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| 189 | *fLog << warn << "MPadding - SigmaTheta already set."; | 
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| 190 | return kFALSE; | 
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| 191 | } | 
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| 192 |  | 
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| 193 | fHSigmaTheta   = histo; | 
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| 194 |  | 
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| 195 | fFixedSigmabar = 0; | 
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| 196 | if (fHSigMaxAllocated) | 
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| 197 | { | 
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| 198 | fHSigMaxAllocated = kFALSE; | 
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| 199 | delete fHSigmabarMax; | 
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| 200 | } | 
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| 201 | fHSigmabarMax  = NULL; | 
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| 202 |  | 
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| 203 | *fLog << inf << "MPadding - Use Sigma Theta Histogram."; | 
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| 204 |  | 
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| 205 | return kTRUE; | 
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| 206 | } | 
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| 207 |  | 
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| 208 | // -------------------------------------------------------------------------- | 
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| 209 | // | 
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| 210 | // | 
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| 211 | void MPadding::SetTargetLevel(Double_t sigmabar) | 
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| 212 | { | 
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| 213 | fFixedSigmabar = sigmabar; | 
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| 214 |  | 
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| 215 | fHSigmaTheta   = NULL; | 
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| 216 | if (fHSigMaxAllocated) | 
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| 217 | { | 
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| 218 | fHSigMaxAllocated = kFALSE; | 
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| 219 | delete fHSigmabarMax; | 
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| 220 | } | 
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| 221 | fHSigmabarMax = NULL; | 
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| 222 |  | 
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| 223 | *fLog << inf << "MPadding - Use fixed sigmabar: fFixedSigmabar = "; | 
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| 224 | *fLog << fFixedSigmabar << endl; | 
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| 225 | } | 
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| 226 |  | 
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| 227 | // -------------------------------------------------------------------------- | 
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| 228 | // | 
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| 229 | //  check if MEvtHeader exists in the Parameter list already. | 
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| 230 | //  if not create one and add them to the list | 
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| 231 | // | 
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| 232 | Int_t MPadding::PreProcess(MParList *pList) | 
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| 233 | { | 
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| 234 | fMcEvt = (MMcEvt*)pList->FindObject("MMcEvt"); | 
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| 235 | if (!fMcEvt) | 
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| 236 | { | 
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| 237 | *fLog << err << dbginf << "MMcEvt not found... aborting." << endl; | 
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| 238 | return kFALSE; | 
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| 239 | } | 
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| 240 |  | 
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| 241 | fPed = (MPedPhotCam*)pList->FindObject("MPedPhotCam"); | 
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| 242 | if (!fPed) | 
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| 243 | { | 
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| 244 | *fLog << err << dbginf << "MPedPhotCam not found... aborting." << endl; | 
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| 245 | return kFALSE; | 
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| 246 | } | 
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| 247 |  | 
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| 248 | fCam = (MGeomCam*)pList->FindObject("MGeomCam"); | 
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| 249 | if (!fCam) | 
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| 250 | { | 
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| 251 | *fLog << err << dbginf << "MGeomCam not found (no geometry information available)... aborting." << endl; | 
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| 252 | return kFALSE; | 
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| 253 | } | 
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| 254 |  | 
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| 255 | fEvt = (MCerPhotEvt*)pList->FindObject("MCerPhotEvt"); | 
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| 256 | if (!fEvt) | 
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| 257 | { | 
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| 258 | *fLog << err << dbginf << "MCerPhotEvt not found... aborting." << endl; | 
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| 259 | return kFALSE; | 
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| 260 | } | 
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| 261 |  | 
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| 262 | fSigmabar = (MSigmabar*)pList->FindCreateObj("MSigmabar"); | 
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| 263 | if (!fSigmabar) | 
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| 264 | { | 
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| 265 | *fLog << err << dbginf << "MSigmabar not found... aborting." << endl; | 
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| 266 | return kFALSE; | 
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| 267 | } | 
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| 268 |  | 
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| 269 | // Get Theta Binning | 
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| 270 | MBinning* binstheta  = (MBinning*)pList->FindObject("BinningTheta"); | 
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| 271 | if (!binstheta) | 
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| 272 | { | 
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| 273 | *fLog << err << dbginf << "BinningTheta not found... aborting." << endl; | 
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| 274 | return kFALSE; | 
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| 275 | } | 
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| 276 |  | 
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| 277 | // Get Sigma Binning | 
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| 278 | MBinning* binssigma  = (MBinning*)pList->FindObject("BinningSigmabar"); | 
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| 279 | if (!binssigma) | 
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| 280 | { | 
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| 281 | *fLog << err << dbginf << "BinningSigmabar not found... aborting." << endl; | 
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| 282 | return kFALSE; | 
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| 283 | } | 
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| 284 |  | 
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| 285 | MH::SetBinning(fHSigmaOld, binstheta, binssigma); | 
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| 286 | MH::SetBinning(fHSigmaNew, binstheta, binssigma); | 
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| 287 |  | 
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| 288 | //************************************************************************ | 
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| 289 | // Create fSigmabarMax histogram | 
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| 290 | // (only if no fixed Sigmabar target value and no histogram have been | 
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| 291 | // provided) | 
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| 292 | // | 
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| 293 | if (fFixedSigmabar==0 && !fHSigmabarMax && !fHSigmaTheta) | 
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| 294 | { | 
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| 295 | *fLog << inf << "MPadding - Creating fSigmabarMax histogram: "; | 
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| 296 | *fLog << "fFixedSigmabar=" << fFixedSigmabar << ", "; | 
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| 297 | *fLog << "fHSigmabarMax = " << fHSigmabarMax << endl; | 
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| 298 |  | 
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| 299 | // FIXME: Not deleted | 
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| 300 | fHSigmabarMax = new TH1D; | 
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| 301 | fHSigmabarMax->SetNameTitle("fHSigmabarMax", "Sigmabarmax for this analysis"); | 
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| 302 |  | 
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| 303 | fHSigMaxAllocated = kTRUE; | 
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| 304 |  | 
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| 305 | MH::SetBinning(fHSigmabarMax, binstheta); | 
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| 306 |  | 
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| 307 | // ------------------------------------------------- | 
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| 308 | // read in SigmabarParams | 
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| 309 | // workaround--proprietary file format--CT1test only BEGIN | 
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| 310 | // ------------------------------------------------- | 
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| 311 |  | 
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| 312 | FILE *f=fopen(fDatabaseFilename, "r"); | 
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| 313 | if(!f) { | 
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| 314 | *fLog << err << dbginf << "Database file '" << fDatabaseFilename; | 
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| 315 | *fLog << "' was not found (specified by MPadding::SetDatabaseFile) ...aborting." << endl; | 
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| 316 | return kFALSE; | 
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| 317 | } | 
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| 318 |  | 
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| 319 | TAxis &axe = *fHSigmabarMax->GetXaxis(); | 
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| 320 |  | 
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| 321 | char line[80]; | 
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| 322 | while ( fgets(line, sizeof(line), f) != NULL) { | 
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| 323 | if (line[0]=='#') | 
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| 324 | continue; | 
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| 325 |  | 
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| 326 | Float_t sigmabarMin, sigmabarMax, thetaMin, thetaMax, ra, dec2; | 
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| 327 | Int_t type, group, mjd, nr; | 
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| 328 |  | 
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| 329 | sscanf(line,"%d %d %f %f %d %d %f %f %f %f", | 
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| 330 | &type, &group, &ra, &dec2, &mjd, &nr, | 
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| 331 | &sigmabarMin, &sigmabarMax, &thetaMin, &thetaMax); | 
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| 332 |  | 
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| 333 | if (group!=fGroup && type!=1) //selected ON group or OFF | 
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| 334 | continue; | 
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| 335 |  | 
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| 336 | const Int_t from = axe.FindFixBin(thetaMin); | 
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| 337 | const Int_t to   = axe.FindFixBin(thetaMax); | 
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| 338 |  | 
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| 339 | // find out which bin(s) we have to look at | 
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| 340 | for (Int_t i=from; i<to+1; i++) | 
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| 341 | if (sigmabarMax > fHSigmabarMax->GetBinContent(i)) | 
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| 342 | fHSigmabarMax->SetBinContent(i, sigmabarMax); | 
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| 343 | }//while | 
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| 344 |  | 
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| 345 | } //fFixedSigmabar | 
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| 346 | //************************************************************************ | 
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| 347 |  | 
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| 348 | if (!fHSigmabarMax && !fHSigmaTheta && fFixedSigmabar==0) | 
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| 349 | { | 
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| 350 | *fLog << err << "ERROR: Sigmabar for padding not defined... aborting." << endl; | 
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| 351 | return kFALSE; | 
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| 352 | } | 
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| 353 |  | 
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| 354 | return kTRUE; | 
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| 355 | } | 
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| 356 |  | 
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| 357 | Double_t MPadding::CalcOtherSig(const Double_t mySig, const Double_t theta) const | 
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| 358 | { | 
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| 359 | // | 
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| 360 | // Get sigmabar which we have to pad to | 
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| 361 | // | 
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| 362 | const TAxis   &axe     = *fHSigmabarMax->GetXaxis(); | 
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| 363 | const Int_t    binnum  =  axe.FindFixBin(theta); | 
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| 364 | const Bool_t   inrange =  theta>=axe.GetXmin() && theta<=axe.GetXmax(); | 
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| 365 |  | 
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| 366 | if ((fHSigmabarMax || fHSigmaTheta) && !inrange) | 
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| 367 | { | 
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| 368 | *fLog << err << dbginf; | 
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| 369 | *fLog << "Theta of current event is beyond the limits, Theta = "; | 
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| 370 | *fLog << theta << " ...skipping." <<endl; | 
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| 371 | return -1; | 
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| 372 | } | 
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| 373 |  | 
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| 374 |  | 
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| 375 | // | 
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| 376 | // get target sigma for the current Theta from the histogram fHSigmabarMax | 
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| 377 | // | 
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| 378 | if (fHSigmabarMax != NULL) | 
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| 379 | return fHSigmabarMax->GetBinContent(binnum); | 
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| 380 |  | 
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| 381 | // | 
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| 382 | // for the current Theta, | 
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| 383 | // generate a sigma according to the histogram fHSigmaTheta | 
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| 384 | // | 
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| 385 | if (fHSigmaTheta != NULL) | 
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| 386 | { | 
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| 387 | Double_t otherSig = -1; | 
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| 388 |  | 
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| 389 | TH1D* fHSigma = fHSigmaTheta->ProjectionY("", binnum, binnum, ""); | 
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| 390 |  | 
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| 391 | if (fHSigma->GetEntries()>0) | 
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| 392 | otherSig = fHSigma->GetRandom(); | 
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| 393 |  | 
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| 394 | delete fHSigma; | 
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| 395 |  | 
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| 396 | return otherSig; | 
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| 397 | } | 
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| 398 |  | 
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| 399 | // | 
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| 400 | // use a fixed target sigma | 
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| 401 | // | 
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| 402 | return fFixedSigmabar; | 
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| 403 | } | 
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| 404 |  | 
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| 405 | // -------------------------------------------------------------------------- | 
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| 406 | // | 
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| 407 | // Do the padding  (mySig ==> otherSig) | 
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| 408 | // | 
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| 409 | Int_t MPadding::Padding(const Double_t quadraticDiff, const Double_t theta) | 
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| 410 | { | 
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| 411 | const UInt_t npix = fEvt->GetNumPixels(); | 
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| 412 |  | 
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| 413 | // pad only pixels   - which are used (before image cleaning) | 
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| 414 | //                   - and for which the no.of photons is != 0.0 | 
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| 415 | // | 
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| 416 | for (UInt_t i=0; i<npix; i++) | 
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| 417 | { | 
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| 418 | MCerPhotPix &pix = (*fEvt)[i]; | 
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| 419 | if ( !pix.IsPixelUsed() ) | 
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| 420 | continue; | 
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| 421 | /* | 
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| 422 | if ( pix.GetNumPhotons() == 0) | 
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| 423 | { | 
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| 424 | *fLog << "MPadding::Process(); no.of photons is 0 for used pixel" | 
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| 425 | << endl; | 
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| 426 | continue; | 
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| 427 | } | 
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| 428 | */ | 
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| 429 | const Double_t area = fCam->GetPixRatio(pix.GetPixId()); | 
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| 430 |  | 
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| 431 | // add additional NSB to the number of photons | 
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| 432 | const Double_t NSB = sqrt(quadraticDiff*area) * gRandom->Gaus(0, 1); | 
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| 433 | const Double_t oldphotons = pix.GetNumPhotons(); | 
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| 434 | const Double_t newphotons = oldphotons + NSB; | 
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| 435 | pix.SetNumPhotons( newphotons ); | 
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| 436 |  | 
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| 437 | fHNSB->Fill( NSB/sqrt(area) ); | 
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| 438 | fHPhotons->Fill( newphotons/sqrt(area), oldphotons/sqrt(area) ); | 
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| 439 |  | 
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| 440 | // error: add sigma of padded noise quadratically | 
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| 441 | const Double_t olderror = pix.GetErrorPhot(); | 
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| 442 | const Double_t newerror = sqrt( olderror*olderror + quadraticDiff*area ); | 
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| 443 | pix.SetErrorPhot( newerror ); | 
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| 444 |  | 
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| 445 | MPedPhotPix &ppix = (*fPed)[i]; | 
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| 446 |  | 
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| 447 | ppix.SetRms(0); | 
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| 448 |  | 
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| 449 | const Double_t oldsigma = ppix.GetRms(); | 
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| 450 | const Double_t newsigma = sqrt( oldsigma*oldsigma + quadraticDiff*area ); | 
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| 451 | ppix.SetRms( newsigma ); | 
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| 452 |  | 
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| 453 | fHSigmaPedestal->Fill( oldsigma, newsigma ); | 
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| 454 | fHSigmaOld->Fill( theta, oldsigma ); | 
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| 455 | fHSigmaNew->Fill( theta, newsigma ); | 
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| 456 | } //for | 
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| 457 |  | 
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| 458 | return kTRUE; | 
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| 459 | } | 
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| 460 |  | 
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| 461 |  | 
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| 462 | // -------------------------------------------------------------------------- | 
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| 463 | // | 
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| 464 | // Calculate Sigmabar for current event | 
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| 465 | // Then apply padding | 
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| 466 | // | 
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| 467 | // 1) have current event | 
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| 468 | // 2) get sigmabar(theta) | 
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| 469 | // 3) pad event | 
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| 470 | // | 
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| 471 | Int_t MPadding::Process() | 
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| 472 | { | 
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| 473 | const Double_t theta = kRad2Deg*fMcEvt->GetTelescopeTheta(); | 
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| 474 |  | 
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| 475 | // | 
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| 476 | // Calculate sigmabar of event | 
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| 477 | // | 
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| 478 | Double_t mySig = fSigmabar->Calc(*fCam, *fPed, *fEvt); | 
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| 479 |  | 
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| 480 | //$$$$$$$$$$$$$$$$$$$$$$$$$$ | 
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| 481 | mySig = 0.0;  // FIXME? | 
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| 482 | //$$$$$$$$$$$$$$$$$$$$$$$$$$ | 
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| 483 |  | 
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| 484 | const Double_t otherSig = CalcOtherSig(mySig, theta); | 
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| 485 |  | 
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| 486 | // Skip event if target sigma is zero | 
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| 487 | if (otherSig<=0) | 
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| 488 | return kCONTINUE; | 
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| 489 |  | 
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| 490 | // Determine quadratic difference other-mine | 
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| 491 | const Double_t quadraticDiff = otherSig*otherSig - mySig*mySig; | 
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| 492 |  | 
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| 493 | if (quadraticDiff < 0) { | 
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| 494 | *fLog << err << "ERROR - MPadding: Event has higher Sigmabar=" << mySig; | 
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| 495 | *fLog << " than Sigmabarmax=" << otherSig << " @ Theta =" << theta; | 
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| 496 | *fLog << " ...skipping." << endl; | 
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| 497 | return kCONTINUE; //skip | 
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| 498 | } | 
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| 499 |  | 
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| 500 | if (quadraticDiff == 0) | 
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| 501 | return kTRUE; //no padding necessary. | 
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| 502 |  | 
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| 503 | // | 
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| 504 | // quadratic difference is > 0, do the padding; | 
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| 505 | // | 
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| 506 | Padding(quadraticDiff, theta); | 
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| 507 |  | 
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| 508 | // Calculate Sigmabar again and crosscheck | 
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| 509 | //mySig = fSigmabar->Calc(*fCam, *fPed, *fEvt); | 
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| 510 |  | 
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| 511 | return kTRUE; | 
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| 512 | } | 
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| 513 |  | 
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| 514 | // -------------------------------------------------------------------------- | 
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| 515 | // | 
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| 516 | // Draws some histograms if IsGraphicalOutputEnabled | 
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| 517 | // | 
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| 518 | Bool_t MPadding::PostProcess() | 
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| 519 | { | 
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| 520 | if (!IsGraphicalOutputEnabled()) | 
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| 521 | return kTRUE; | 
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| 522 |  | 
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| 523 | TCanvas &c = *MH::MakeDefCanvas("Padding", "", 600, 900); | 
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| 524 | c.Divide(2,3); | 
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| 525 | gROOT->SetSelectedPad(NULL); | 
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| 526 |  | 
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| 527 | if (fHSigmabarMax != NULL) | 
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| 528 | { | 
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| 529 | c.cd(1); | 
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| 530 | fHSigmabarMax->DrawClone(); | 
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| 531 | } | 
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| 532 | else if (fHSigmaTheta != NULL) | 
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| 533 | { | 
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| 534 | c.cd(1); | 
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| 535 | fHSigmaTheta->DrawClone(); | 
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| 536 | } | 
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| 537 |  | 
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| 538 | c.cd(3); | 
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| 539 | fHSigmaPedestal->DrawClone(); | 
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| 540 |  | 
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| 541 | c.cd(5); | 
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| 542 | fHPhotons->DrawClone(); | 
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| 543 |  | 
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| 544 | c.cd(2); | 
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| 545 | fHNSB->DrawClone(); | 
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| 546 |  | 
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| 547 | c.cd(4); | 
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| 548 | fHSigmaOld->DrawClone(); | 
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| 549 |  | 
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| 550 | c.cd(6); | 
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| 551 | fHSigmaNew->DrawClone(); | 
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| 552 |  | 
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| 553 | return kTRUE; | 
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| 554 | } | 
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