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#include <ManipHist.h>
Public Member Functions | |
| void | divideAndDrawEps () |
| void | divideAndDrawPs () |
| ManipHist () | |
| void | sumHistograms () |
| virtual | ~ManipHist () |
Protected Member Functions | |
| void | configBlockDivide (ConfigFile &) |
| void | configBlockSum (ConfigFile &) |
| TH1F & | divideHistograms (TH1F &, TH1F &, int) |
| double | ratioCorrelatedError (double &, double &, double &, double &) |
| double | ratioUncorrelatedError (double &, double &, double &, double &) |
Protected Attributes | |
| int | errorType_ |
| std::vector< double > | weights_ |
Definition at line 6 of file ManipHist.h.
| ManipHist::ManipHist | ( | ) | [inline] |
Definition at line 10 of file ManipHist.h.
{};
| virtual ManipHist::~ManipHist | ( | ) | [inline, virtual] |
Definition at line 12 of file ManipHist.h.
{};
| void ManipHist::configBlockDivide | ( | ConfigFile & | cfg | ) | [protected] |
Definition at line 25 of file ManipHist.cc.
References dtNoiseDBValidation_cfg::cerr, cmsRelvalreport::exit, and ConfigFile::read().
{
try{
//-----------------------------------------------
// histogram manipulations
//-----------------------------------------------
errorType_ = cfg.read<int>( "errorType" );
}
catch(...){
std::cerr << "ERROR during reading of config file" << std::endl;
std::cerr << " misspelled variables in cfg ?" << std::endl;
std::cerr << " [--called in configBlockDivide]" << std::endl;
std::exit(1);
}
}
| void ManipHist::configBlockSum | ( | ConfigFile & | cfg | ) | [protected] |
Definition at line 8 of file ManipHist.cc.
References dtNoiseDBValidation_cfg::cerr, cmsRelvalreport::exit, ConfigFile::read(), and readVector().
{
try{
//-----------------------------------------------
// histogram manipulations
//-----------------------------------------------
readVector( cfg.read<std::string>( "histWeights" ), weights_);
}
catch(...){
std::cerr << "ERROR during reading of config file" << std::endl;
std::cerr << " misspelled variables in cfg ?" << std::endl;
std::cerr << " [--called in configBlockSum]" << std::endl;
std::exit(1);
}
}
| void ManipHist::divideAndDrawEps | ( | ) |
Definition at line 141 of file ManipHist.cc.
References dtNoiseDBValidation_cfg::cerr, cmsDownloadME::href, UserOptions_cff::idx, and convertSQLitetoXML_cfg::output.
Referenced by main().
{
//-----------------------------------------------
// define canvas
//-----------------------------------------------
TCanvas *canv = new TCanvas("canv", "histograms", 600, 600);
setCanvasStyle( *canv );
//-----------------------------------------------
// number of files/directories in root file must
// be >1 otherwise return with error message
//-----------------------------------------------
if((sampleList_.size()!=2) && (dirNameList_.size()+fileList_.size()!=3)){
std::cerr << "ERROR number of indicated root files/directories " << std::endl;
std::cerr << " is insonsistent. Need sample & reference" << std::endl;
std::cerr << " file/directory being specified solitarily" << std::endl;
return;
}
//-----------------------------------------------
// loop histograms via the list of histogram
// names stored in histList_, open a new page
// for each histogram & plot each sample in
// the same canvas
//-----------------------------------------------
for(int idx=0; idx<(int)histList_.size(); ++idx){
//-----------------------------------------------
// open output files
//-----------------------------------------------
TString output( writeTo_.c_str() );
output += "/";
output += histList_[ idx ];
output += ".";
output += writeAs_;
TPostScript psFile( output, 113);
psFile.NewPage();
TH1F& hsam = *((TH1F*)(sampleList_[0])[idx] ); //recieve sample
TH1F& href = *((TH1F*)(sampleList_[1])[idx] ); //recieve reference
divideHistograms(hsam, href, errorType_);
setCanvLog( *canv, idx );
setCanvGrid( *canv, idx );
setHistStyles( hsam, idx, 0 ); //there is only one sample
hsam.Draw();
canv->RedrawAxis( );
canv->Update( );
psFile.Close();
}
canv->Close();
delete canv;
}
| void ManipHist::divideAndDrawPs | ( | ) |
Definition at line 86 of file ManipHist.cc.
References dtNoiseDBValidation_cfg::cerr, cmsDownloadME::href, UserOptions_cff::idx, and convertSQLitetoXML_cfg::output.
Referenced by main().
{
//-----------------------------------------------
// define canvas
//-----------------------------------------------
TCanvas *canv = new TCanvas("canv", "histograms", 600, 600);
setCanvasStyle( *canv );
//-----------------------------------------------
// number of files/directories in root file must
// be >1 otherwise return with error message
//-----------------------------------------------
if((sampleList_.size()!=2) && (dirNameList_.size()+fileList_.size()!=3)){
std::cerr << "ERROR number of indicated root files/directories " << std::endl;
std::cerr << " is insonsistent. Need sample & reference" << std::endl;
std::cerr << " file/directory being specified solitarily" << std::endl;
return;
}
//-----------------------------------------------
// open output file
//-----------------------------------------------
TString output( writeTo_.c_str() );
output += "/";
output += "inspectRatio";
output += ".";
output += writeAs_;
TPostScript psFile( output, 111); //112 for portrait
//-----------------------------------------------
// loop histograms via the list of histogram
// names stored in histList_, open a new page
// for each histogram & plot each sample in
// the same canvas, divide
//-----------------------------------------------
for(int idx=0; idx<(int)histList_.size(); ++idx){
psFile.NewPage();
TH1F& hsam = *((TH1F*)(sampleList_[0])[idx] ); //recieve sample
TH1F& href = *((TH1F*)(sampleList_[1])[idx] ); //recieve reference
divideHistograms(hsam, href, errorType_);
setCanvLog( *canv, idx );
setCanvGrid( *canv, idx );
setHistStyles( hsam, idx, 0 ); //there is only one sample
hsam.Draw();
canv->RedrawAxis( );
canv->Update( );
if(idx == (int)histList_.size()-1){
psFile.Close();
}
}
canv->Close();
delete canv;
}
| TH1F & ManipHist::divideHistograms | ( | TH1F & | nom, |
| TH1F & | denom, | ||
| int | err | ||
| ) | [protected] |
Definition at line 194 of file ManipHist.cc.
References UserOptions_cff::idx, n, and x.
{
//------------------------------------------------
// divide histograms bin by bin & add appropriate
// error according to specification in errorType_
//------------------------------------------------
for(int idx=0; idx<denom.GetNbinsX(); ++idx){
double dx=nom.GetBinError(idx+1), x=nom.GetBinContent(idx+1);
double dn=denom.GetBinError(idx+1), n=denom.GetBinContent(idx+1);
if(n==0){
nom.SetBinContent( idx+1, 0. );
nom.SetBinError ( idx+1, 0. );
}
else{
nom.SetBinContent( idx+1, x/n );
if(err==1){
nom.SetBinError( idx+1, ratioCorrelatedError (x, dx, n, dn) );
}
else{
nom.SetBinError( idx+1, ratioUncorrelatedError(x, dx, n, dn) );
}
}
}
return nom;
}
| double ManipHist::ratioCorrelatedError | ( | double & | x, |
| double & | dx, | ||
| double & | n, | ||
| double & | dn | ||
| ) | [protected] |
Definition at line 222 of file ManipHist.cc.
References n, and mathSSE::sqrt().
{
//------------------------------------------------
// Get error deps of correlated ratio eps=x/n:
//
// For gaussian distributed quantities the formular:
// * deps=eps*Sqrt((dx/x)^2+(1-2*eps)*(dn/n)^2))
// automatically turns into
// * deps=Sqrt(eps*(1-eps)/n)
//------------------------------------------------
if(x<=0) return 0;
if(n==0) return -1;
return (x/n<1) ? (x/n)*sqrt(std::fabs((dx*dx)/(n*n)+(1.-2.*(x/n))*(dn*dn)/(n*n))):
(n/x)*sqrt(std::fabs((dn*dn)/(x*x)+(1.-2.*(n/x))*(dx*dx)/(x*x)));
}
| double ManipHist::ratioUncorrelatedError | ( | double & | x, |
| double & | dx, | ||
| double & | n, | ||
| double & | dn | ||
| ) | [protected] |
Definition at line 239 of file ManipHist.cc.
References mathSSE::sqrt().
| void ManipHist::sumHistograms | ( | ) |
Definition at line 42 of file ManipHist.cc.
References hadd(), estimatePileup::hist, and UserOptions_cff::idx.
Referenced by main().
{
//-----------------------------------------------
// loop histograms via the list of histogram
// names stored in histList_, open a new page
// for each histogram & plot each sample in
// the same canvas
//-----------------------------------------------
for(int idx=0; idx<(int)histList_.size(); ++idx){
//-----------------------------------------------
// loop all samples via the list sampleList_, which
// containas the histograms of each sample as
// TObjects in TObjectArrays
//-----------------------------------------------
TH1F buffer;
std::vector<TObjArray>::const_iterator hist = sampleList_.begin();
for(int jdx=0; hist!=sampleList_.end(); ++hist, ++jdx){
TH1F& hadd = *((TH1F*)(*hist)[idx]);
//apply weights if required
if( jdx<((int)weights_.size()) ){
if( weights_[jdx]>0 ){
hadd.Scale(weights_[jdx]);
}
}
//buffer first histogram unchanged
if(jdx==0){
buffer = hadd;
}
//add histograms buffer last one
else{
hadd.Add(&buffer);
buffer = hadd;
}
}
//reset maximum for all histograms
hist = sampleList_.begin();
for(; hist!=sampleList_.end(); ++hist){
TH1F& hadd = *((TH1F*)(*hist)[idx]);
hadd.SetMaximum(buffer.GetMaximum());
}
}
}
int ManipHist::errorType_ [protected] |
Definition at line 37 of file ManipHist.h.
std::vector<double> ManipHist::weights_ [protected] |
Definition at line 38 of file ManipHist.h.
1.7.3