29 int main(
int argc, 
char **argv)
 
   40     JParser<> zap(
"Auxiliary program to determine standard deviation of a set of 1D histograms.");
 
   42     zap[
'f'] = 
make_field(inputFile,  
"<input file>:<object name>");
 
   48   catch(
const exception &error) {
 
   49     FATAL(error.what() << endl);
 
   59     DEBUG(
"Input: " << *input << endl);
 
   64       ERROR(
"File: " << input->getFullFilename() << 
" not opened." << endl);
 
   68     const TRegexp regexp(input->getObjectName());
 
   70     TIter iter(dir->GetListOfKeys());
 
   72     for (TKey* key; (key = (TKey*) iter.Next()) != NULL; ) {
 
   74       const TString tag(key->GetName());
 
   76       DEBUG(
"Key: " << tag << 
" match = " << tag.Contains(regexp) << endl);
 
   80       if (tag.Contains(regexp)) {
 
   84         if (!p->InheritsFrom(
"TH1")) {
 
   85           FATAL(
"Object " << p->GetName() << 
" not compatible with histogram operations." << endl);
 
   90           h3 = (TH1*) p->Clone(
"stdev");
 
   96           if (h3->GetXaxis()->GetNbins() != h1->GetXaxis()->GetNbins() ||
 
   97               h3->GetXaxis()->GetXmin () != h1->GetXaxis()->GetXmin () ||
 
   98               h3->GetXaxis()->GetXmax () != h1->GetXaxis()->GetXmax ()) {
 
   99             FATAL(
"Objects " << h3->GetName() << 
" and " << p->GetName() << 
" have different binning." << endl);
 
  103         listOfHistograms.push_back((TH1*) p);
 
  108   if (listOfHistograms.size() <= 1) {
 
  109     FATAL(
"Not enough histograms " << listOfHistograms.size() << endl);
 
  112   for (Int_t i = 1; i <= h3->GetNbinsX(); ++i) {
 
  118       Y += (*p)->GetBinContent(i);
 
  119       Z += (*p)->GetBinError(i) * (*p)->GetBinError(i);
 
  123     Y /= listOfHistograms.size();
 
  124     Z /= listOfHistograms.size();
 
  129       y += ((*p)->GetBinContent(i) - Y)*((*p)->GetBinContent(i) - Y) / ((*p)->GetBinError(i)*(*p)->GetBinError(i) + Z*Z);
 
  132     y  = sqrt(y / listOfHistograms.size());
 
  134     h3->SetBinContent(i, y);
 
  135     h3->SetBinError  (i, 0.0);