| 1 | #include <TH1.h>
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| 2 | #include <TCanvas.h>
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| 3 | #include <TVector.h>
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| 4 | #include <TMatrix.h>
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| 5 | #include <iomanip.h>
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| 6 |
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| 7 | void optPad()
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| 8 | {
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| 9 | Int_t N = 10;
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| 10 | Double_t eps = 1.e-10;
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| 11 |
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| 12 | TMatrix g(N, N);
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| 13 | g.Zero();
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| 14 |
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| 15 | // hista is the normalized 1D histogram of sigmabar for ON data
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| 16 | // histb is the normalized 1D histogram of sigmabar for OFF data
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| 17 | // histc is the difference ON-OFF
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| 18 |
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| 19 | TH1D *hista = new TH1D("ON", "ON data before padding", N, 0., 5.);
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| 20 | TH1D *histb = new TH1D("OFF", "OFF data before padding", N, 0., 5.);
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| 21 | TH1D *histc = new TH1D("ON-OFF", "ON-OFF before padding", N, 0., 5.);
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| 22 | hista->SetMaximum( 5.0/(Double_t)N );
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| 23 | hista->SetMinimum(-1.0/(Double_t)N );
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| 24 | histb->SetMaximum( 5.0/(Double_t)N );
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| 25 | histb->SetMinimum(-1.0/(Double_t)N );
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| 26 | histc->SetMaximum( 5.0/(Double_t)N );
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| 27 | histc->SetMinimum(-1.0/(Double_t)N );
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| 28 |
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| 29 | // at the beginning, histap is a copy of hista
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| 30 | // at the end, it will be the 1D histogram for ON data after padding
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| 31 |
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| 32 | // at the beginning, histbp is a copy of histb
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| 33 | // at the end, it will be the 1D histogram for OFF data after padding
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| 34 |
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| 35 | // at the beginning, histcp is a copy of histc
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| 36 | // at the end, it should be zero
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| 37 |
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| 38 | TH1D *histap = new TH1D("ONp", "ON data after padding", N, 0., 5.);
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| 39 | TH1D *histbp = new TH1D("OFFp", "OFF data after padding", N, 0., 5.);
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| 40 | TH1D *histcp = new TH1D("ON-OFFp", "ON-OFF after padding", N, 0., 5.);
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| 41 | histap->SetMaximum( 5.0/(Double_t)N );
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| 42 | histap->SetMinimum(-1.0/(Double_t)N );
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| 43 | histbp->SetMaximum( 5.0/(Double_t)N );
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| 44 | histbp->SetMinimum(-1.0/(Double_t)N );
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| 45 | histcp->SetMaximum( 1.0/(Double_t)N);
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| 46 | histcp->SetMinimum(-1.0/(Double_t)N);
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| 47 |
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| 48 | Double_t shoulda[] = {1.0, 2.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 1.0};
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| 49 | Double_t shouldb[] = {0.0, 0.0, 1.0, 2.0, 3.0, 2.0, 1.0, 0.0, 1.0, 2.0};
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| 50 | for (Int_t i=1; i<=N; i++)
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| 51 | {
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| 52 | hista->SetBinContent(i, shoulda[i-1]);
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| 53 | histb->SetBinContent(i, shouldb[i-1]);
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| 54 | }
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| 55 |
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| 56 | // normalize histograms
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| 57 | Double_t suma, sumb, conta, contb;
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| 58 | suma = 0.0;
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| 59 | sumb = 0.0;
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| 60 | for (Int_t i=1; i<=N; i++)
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| 61 | {
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| 62 | conta = hista->GetBinContent(i);
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| 63 | contb = histb->GetBinContent(i);
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| 64 | suma += conta;
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| 65 | sumb += contb;
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| 66 | }
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| 67 |
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| 68 | for (Int_t i=1; i<=N; i++)
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| 69 | {
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| 70 | conta = hista->GetBinContent(i);
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| 71 | contb = histb->GetBinContent(i);
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| 72 |
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| 73 | hista->SetBinContent(i,conta/suma);
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| 74 | histb->SetBinContent(i,contb/sumb);
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| 75 | histc->SetBinContent(i, conta/suma - contb/sumb);
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| 76 |
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| 77 | histap->SetBinContent(i,conta/suma);
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| 78 | histbp->SetBinContent(i,contb/sumb);
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| 79 | histcp->SetBinContent(i, conta/suma - contb/sumb);
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| 80 | }
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| 81 |
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| 82 |
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| 83 | // g[k-1][j-1] (if <0.0) tells how many ON events in bin k should be padded
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| 84 | // from sigma_k to sigma_j
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| 85 |
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| 86 | // g[k-1][j-1] (if >0.0) tells how many OFF events in bin k should be padded
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| 87 | // from sigma_k to sigma_j
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| 88 |
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| 89 |
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| 90 | //-------- start j loop ------------------------------------------------
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| 91 | // loop over bins in histc, starting from the end
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| 92 | Double_t v, s, w, t, x, u, a, b, arg;
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| 93 |
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| 94 | for (Int_t j=N; j >= 1; j--)
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| 95 | {
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| 96 | v = histcp->GetBinContent(j);
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| 97 | if ( fabs(v) < eps ) continue;
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| 98 | if (v >= 0.0)
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| 99 | s = 1.0;
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| 100 | else
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| 101 | s = -1.0;
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| 102 |
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| 103 | //................ start k loop ......................................
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| 104 | // look for a bin k which may compensate the content of bin j
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| 105 | for (Int_t k=j-1; k >= 1; k--)
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| 106 | {
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| 107 | w = histcp->GetBinContent(k);
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| 108 | if ( fabs(w) < eps ) continue;
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| 109 | if (w >= 0.0)
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| 110 | t = 1.0;
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| 111 | else
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| 112 | t = -1.0;
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| 113 |
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| 114 | if (s==t) continue;
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| 115 |
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| 116 | x = v + w;
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| 117 | if (x >= 0.0)
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| 118 | u = 1.0;
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| 119 | else
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| 120 | u = -1.0;
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| 121 |
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| 122 | if (u == s)
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| 123 | {
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| 124 | arg = -w;
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| 125 | g(k-1, j-1) = arg;
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| 126 | cout << "k-1, j-1, arg = " << k-1 << ", " << j-1 << ", "
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| 127 | << arg << endl;
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| 128 |
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| 129 |
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| 130 | //......................................
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| 131 | // this is for checking the procedure
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| 132 | if (arg < 0.0)
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| 133 | {
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| 134 | a = histap->GetBinContent(k);
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| 135 | histap->SetBinContent(k, a+arg);
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| 136 | a = histap->GetBinContent(j);
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| 137 | histap->SetBinContent(j, a-arg);
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| 138 | }
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| 139 | else
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| 140 | {
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| 141 | b = histbp->GetBinContent(k);
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| 142 | histbp->SetBinContent(k, b-arg);
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| 143 | b = histbp->GetBinContent(j);
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| 144 | histbp->SetBinContent(j, b+arg);
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| 145 | }
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| 146 | //......................................
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| 147 |
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| 148 | histcp->SetBinContent(k, 0.0);
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| 149 | histcp->SetBinContent(j, x);
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| 150 |
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| 151 | //......................................
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| 152 | // redefine v
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| 153 | v = histcp->GetBinContent(j);
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| 154 | if ( fabs(v) < eps ) break;
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| 155 | if (v >= 0.0)
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| 156 | s = 1.0;
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| 157 | else
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| 158 | s = -1.0;
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| 159 | //......................................
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| 160 |
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| 161 | continue;
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| 162 | }
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| 163 |
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| 164 | arg = v;
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| 165 | g(k-1, j-1) = arg;
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| 166 | cout << "k-1, j-1, arg = " << k-1 << ", " << j-1 << ", "
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| 167 | << arg << endl;
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| 168 |
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| 169 | //......................................
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| 170 | // this is for checking the procedure
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| 171 | if (arg < 0.0)
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| 172 | {
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| 173 | a = histap->GetBinContent(k);
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| 174 | histap->SetBinContent(k, a+arg);
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| 175 | a = histap->GetBinContent(j);
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| 176 | histap->SetBinContent(j, a-arg);
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| 177 | }
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| 178 | else
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| 179 | {
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| 180 | b = histbp->GetBinContent(k);
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| 181 | histbp->SetBinContent(k, b-arg);
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| 182 | b = histbp->GetBinContent(j);
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| 183 | histbp->SetBinContent(j, b+arg);
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| 184 | }
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| 185 | //......................................
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| 186 |
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| 187 | histcp->SetBinContent(k, x);
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| 188 | histcp->SetBinContent(j, 0.0);
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| 189 |
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| 190 | break;
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| 191 | }
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| 192 | //................ end k loop ......................................
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| 193 |
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| 194 |
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| 195 | }
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| 196 | //-------- end j loop ------------------------------------------------
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| 197 | TVector index(N);
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| 198 | index.Zero();
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| 199 |
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| 200 | TVector map(N);
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| 201 | Int_t indexold = 0;
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| 202 |
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| 203 | cout << "=========================================================" << endl;
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| 204 | for (Int_t k=0; k<N-1; k++)
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| 205 | {
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| 206 | index(k) = (Double_t)indexold;
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| 207 | Int_t add = 0;
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| 208 | for (Int_t j=k+1; j<N; j++)
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| 209 | {
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| 210 | if (fabs(g(k,j)) > eps)
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| 211 | {
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| 212 | map(indexold) = g(k, j);
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| 213 |
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| 214 | cout << "k, j, indexold, map = " << k << ", " << j << ", "
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| 215 | << indexold << ", " << map(indexold) << endl;;
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| 216 |
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| 217 | indexold += 1;
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| 218 | add += 1;
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| 219 | }
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| 220 | }
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| 221 | if (add == 0) index(k) = 0;
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| 222 | cout << endl;
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| 223 | cout << "index(k), add = " << index(k) << ", " << add << endl;
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| 224 | }
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| 225 |
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| 226 | cout << "=========================================================" << endl;
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| 227 | cout << " " << endl;
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| 228 |
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| 229 | //------------------------------------------------------------------------
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| 230 |
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| 231 |
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| 232 | TCanvas *c1 = new TCanvas("c1","", 600, 900);
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| 233 | c1->Divide(2,3);
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| 234 |
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| 235 | c1->cd(1);
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| 236 | hista->Draw();
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| 237 |
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| 238 | c1->cd(2);
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| 239 | histap->Draw();
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| 240 |
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| 241 | c1->cd(3);
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| 242 | histb->Draw();
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| 243 |
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| 244 | c1->cd(4);
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| 245 | histbp->Draw();
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| 246 |
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| 247 | c1->cd(5);
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| 248 | histc->Draw();
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| 249 |
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| 250 | c1->cd(6);
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| 251 | histcp->Draw();
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| 252 |
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| 253 | }
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| 254 | //=========================================================================
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| 255 |
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| 256 |
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| 257 |
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 268 |
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