本文整理汇总了C++中TH2::GetBinError方法的典型用法代码示例。如果您正苦于以下问题：C++ TH2::GetBinError方法的具体用法？C++ TH2::GetBinError怎么用？C++ TH2::GetBinError使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TH2的用法示例。
在下文中一共展示了TH2::GetBinError方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: abortException
void SF_TH2F_And_Eff::init(string filename,string effdata,string effmc,string errordata,string errormc)
{
f = TFile::Open(filename.c_str() ) ;
if (f == NULL){
Log(__FUNCTION__,"ERROR","file '" + filename + "' does not exist");
throw abortException() ;
}
TH2 * hDataEff = getHisto(effdata);
TH2 * hDataErr = NULL;
if (errordata != "" ) hDataErr = getHisto(errordata);
TH2 * hMcEff = getHisto(effmc);
TH2 * hMcErr = NULL;
if (errormc != "" ) hMcErr = getHisto(errormc);
for( int aetabin =1; aetabin <= hDataEff->GetNbinsX() ; ++aetabin)
for( int ptbin =1; ptbin <= hDataEff->GetNbinsY() ; ++ptbin)
{
float ptmin = hDataEff->GetYaxis()->GetBinLowEdge(ptbin);
float ptmax = hDataEff->GetYaxis()->GetBinLowEdge(ptbin+1);
float aetamin = hDataEff->GetXaxis()->GetBinLowEdge(aetabin);
float aetamax = hDataEff->GetXaxis()->GetBinLowEdge(aetabin+1);
float effData = hDataEff->GetBinContent(aetabin,ptbin);
float errData = 0.0 ;
if (hDataErr) err=hDataErr->GetBinContent(aetabin,ptbin);
else errData = hDataEff->GetBinError(aetabin,ptbin);
float effMc = hMcEff->GetBinContent(aetabin,ptbin);
float errMc = 0.0;
if (hMcEff) errMc = hMcEff->GetBinContent(aetabin,ptbin);
else errMc = hMcEff->GetBinError(aetabin,ptbin);
if (ptbin == hDataEff->GetNbinsY() ) ptmax = 8000.; // highest is open, current recommendation
if (aetabin == hDataEff->GetNbinsX() ) aetamax = aetamax+0.0001; // put it slightly larger to get 2.4 as well
add(ptmin,ptmax,aetamin,aetamax,effData,effMc,errData,errMc);
}
f->Close(); // delete?
delete f;
f = NULL;
}示例2: fullPedestalAnalysis
//.........这里部分代码省略.........
iChannel++;
TString objName;
uint32_t fedKey = SiStripFedKey(*fedId,SiStripFedKey::feUnit(*fedCh),SiStripFedKey::feChan(*fedCh)).key();
std::stringstream stream;
stream << std::hex << fedKey;
string fedKeyStr = stream.str();
if(fedKeyStr.size() == 4)
objName = Form("DQMData/SiStrip/ControlView/FecCrate%d/FecSlot%d/FecRing%d/CcuAddr%d/CcuChan%d/ExpertHisto_PedsFullNoise_FedKey0x0000%s_LldChannel%d_Noise2D",*fecCrate,*fecSlot,*fecRing,*ccuAdd,*ccuChan,fedKeyStr.c_str(),*lldChannel);
else if(fedKeyStr.size() == 5)
objName = Form("DQMData/SiStrip/ControlView/FecCrate%d/FecSlot%d/FecRing%d/CcuAddr%d/CcuChan%d/ExpertHisto_PedsFullNoise_FedKey0x000%s_LldChannel%d_Noise2D",*fecCrate,*fecSlot,*fecRing,*ccuAdd,*ccuChan,fedKeyStr.c_str(),*lldChannel);
else
cerr<<"hex number to short "<<fedKeyStr<<" --> please check "<<endl;
inputFile->GetObject(objName.Data(),histoNoise);
// extract single strip noise histogram --> loop on the y-axis
uint16_t apvID = 0;
uint16_t stripID = 0;
if(histoNoiseStrip == 0 or histoNoiseStrip == NULL){
histoNoiseStrip = new TH1F ("histoNoiseStrip","",histoNoise->GetNbinsX(),histoNoise->GetXaxis()->GetXmin(),histoNoise->GetXaxis()->GetXmax());
histoNoiseStrip->Sumw2();
}
for(int iBinY = 0; iBinY < histoNoise->GetNbinsY(); iBinY++){
histoNoiseStrip->Reset();
histoNoiseStrip->SetDirectory(0);
// two multiplexed APV per line
if(iBinY < histoNoise->GetNbinsY()/2) apvID = 1;
else apvID = 2;
// strip id
stripID++;
if(stripID > 128) stripID = 1;
// loop on x-axis bin
for(int iBinX = 0; iBinX < histoNoise->GetNbinsX(); iBinX++){
histoNoiseStrip->SetBinContent(iBinX+1,histoNoise->GetBinContent(iBinX+1,iBinY+1));
histoNoiseStrip->SetBinError(iBinX+1,histoNoise->GetBinError(iBinX+1,iBinY+1));
}
// to initialize branches
detid_ = 0; fedKey_ = 0; fecCrate_ = 0; fecSlot_ = 0; fecRing_ = 0; ccuAdd_ = 0; ccuChan_ = 0; lldChannel_ = 0; fedId_ = 0; fedCh_ = 0; apvId_ = 0; stripId_ = 0;
noiseMean_ = 0.; noiseRMS_ = 0.; noiseSkewness_ = 0.; noiseKurtosis_ = 0.;
fitGausMean_ = 0.; fitGausSigma_ = 0.;fitGausNormalization_ = 0.;
fitGausMeanError_ = 0.; fitGausSigmaError_ = 0.;fitGausNormalizationError_ = 0.;
fitChi2_ = 0.; fitChi2Probab_ = 0.; fitStatus_ = -1.;
noiseIntegral3Sigma_ = 0.; noiseIntegral3SigmaFromFit_ = 0.;
noiseIntegral4Sigma_ = 0.; noiseIntegral4SigmaFromFit_ = 0.;
noiseIntegral5Sigma_ = 0.; noiseIntegral5SigmaFromFit_ = 0.;
kSProbab_ = 0.; jBProbab_ = 0.;
kSValue_ = 0.; jBValue_ = 0.;
aDValue_= 0.; aDProbab_ = 0.;
nBin_ = 0.; xMin_ = 0.; xMax_ = 0.;
// basic info
detid_ = *detid;
fedKey_ = fedKey;
fecCrate_ = *fecCrate;
fecSlot_ = *fecSlot;
fecRing_ = *fecRing;
ccuAdd_ = *ccuAdd;
ccuChan_ = *ccuChan;
lldChannel_ = *lldChannel;
fedId_ = *fedId;
fedCh_ = *fedCh;
apvId_ = apvID;
stripId_ = stripID;
// basic info of nioise distribution
noiseMean_ = histoNoiseStrip->GetMean();