22 Int_t nbinsx =
hist->GetNbinsX();
28 std::vector<double> temp_HistoContents(
nbins);
30 for (
int ix = 1; ix <= nbinsx; ix++) {
31 float binval =
hist->GetBinContent(ix);
34 double fraction = binval /
hist->Integral();
35 if (TMath::Abs(fraction) > 1
e-5) {
37 <<
hist->GetName() <<
" : " <<
hist->GetTitle()
38 <<
" binval=" << binval <<
" " << fraction * 100
39 <<
"% of integral=" <<
hist->Integral()
40 <<
". Forcing bin to 0.");
50 <<
" integral=" <<
integral <<
" is <=0");
56 for (
int ix = 1; ix <= nbinsx; ix++)
60 for (ibin = 0; ibin <
nbins; ++ibin) {
86 (int_rnd - basecont)) /
97 if (
hist ==
nullptr) {
99 hist =
new TH1D(
"test1D",
"test1D", nbinsx, 0, 1);
101 for (
int ix = 1; ix <= nbinsx; ++ix) {
102 double val = (0.5 + gRandom->Rndm()) * (nbinsx + ix);
103 if (gRandom->Rndm() < 0.1)
106 hist->SetBinError(ix, 0);
110 nbinsx =
hist->GetNbinsX();
115 for (rnd[0] = 0; rnd[0] < 0.9999; rnd[0] += 0.25) {
120 TH1 *hist_val = (TH1 *)
hist->Clone(
"hist_val");
121 hist_val->SetTitle(
"difference");
126 for (
int i = 0;
i < nrnd; ++
i) {
127 rnd[0] = gRandom->Rndm();
131 hist_val->Add(
hist, -1);
133 TH1F *hist_pull =
new TH1F(
"pull",
"pull", 200, -10, 10);
134 for (
int ix = 1; ix <= nbinsx; ++ix) {
135 float val = hist_val->GetBinContent(ix);
136 float err = hist_val->GetBinError(ix);
138 hist_pull->Fill(
val /
err);
144 #if defined(__FastCaloSimStandAlone__)
145 new TCanvas(
"input",
"Input");
148 new TCanvas(
"validation",
"Validation");
151 new TCanvas(
"pull",
"Pull");