23 Int_t nbinsx = hist->GetNbinsX();
29 std::vector<double> temp_HistoContents(nbins);
31 for (
int ix = 1; ix <= nbinsx; ix++) {
32 float binval = hist->GetBinContent(ix);
35 double fraction = binval / hist->Integral();
36 if (TMath::Abs(fraction) > 1e-5) {
38 << hist->GetName() <<
" : " << hist->GetTitle()
39 <<
" binval=" << binval <<
" " << fraction * 100
40 <<
"% of integral=" << hist->Integral()
41 <<
". Forcing bin to 0.");
50 ATH_MSG_ERROR(
"histogram " << hist->GetName() <<
" : " << hist->GetTitle()
51 <<
" integral=" <<
integral <<
" is <=0");
57 for (
int ix = 1; ix <= nbinsx; ix++)
61 for (ibin = 0; ibin < nbins; ++ibin) {
110 if (hist ==
nullptr) {
112 hist =
new TH1D(
"test1D",
"test1D", nbinsx, 0, 1);
114 for (
int ix = 1; ix <= nbinsx; ++ix) {
115 double val = (0.5 + gRandom->Rndm()) * (nbinsx + ix);
116 if (gRandom->Rndm() < 0.1)
118 hist->SetBinContent(ix, val);
119 hist->SetBinError(ix, 0);
123 nbinsx = hist->GetNbinsX();
128 for (
rnd[0] = 0;
rnd[0] < 0.9999;
rnd[0] += 0.25) {
133 TH1 *hist_val = (TH1 *)hist->Clone(
"hist_val");
134 hist_val->SetTitle(
"difference");
137 double weight = hist->Integral() / nrnd;
139 for (
int i = 0; i < nrnd; ++i) {
140 rnd[0] = gRandom->Rndm();
142 hist_val->Fill(value[0], weight);
144 hist_val->Add(hist, -1);
146 TH1F *hist_pull =
new TH1F(
"pull",
"pull", 200, -10, 10);
147 for (
int ix = 1; ix <= nbinsx; ++ix) {
148 float val = hist_val->GetBinContent(ix);
149 float err = hist_val->GetBinError(ix);
151 hist_pull->Fill(val / err);
157#if defined(__FastCaloSimStandAlone__)
158 new TCanvas(
"input",
"Input");
161 new TCanvas(
"validation",
"Validation");
164 new TCanvas(
"pull",
"Pull");