本文整理汇总了C++中TH1F::SetContent方法的典型用法代码示例。如果您正苦于以下问题：C++ TH1F::SetContent方法的具体用法？C++ TH1F::SetContent怎么用？C++ TH1F::SetContent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TH1F的用法示例。
在下文中一共展示了TH1F::SetContent方法的7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: MakeVZEROTimeDelaysEntryRun2
void MakeVZEROTimeDelaysEntryRun2()
{
AliCDBManager *man = AliCDBManager::Instance();
man->SetDefaultStorage("local://./OCDB");
// Creation of the time delays OCDB object
const Double_t timeShift[66] = {0.0 , 263.453366 , 263.554201 , 263.455896 , 263.705908 , 263.178068 , 263.260511 , 263.352692 , 263.371615 , 264.275609 , 263.022590 , 263.923256 , 263.477724 , 263.328535 , 263.338143 , 263.684347 , 263.636735 , 264.240256 , 264.704787 , 263.341181 , 265.875077 , 264.362158 , 264.009584 , 263.985062 , 264.507631 , 264.711630 , 264.702209 , 264.983539 , 265.156149 , 265.340929 , 265.185957 , 265.402229 , 267.060006 , 260.193899 , 260.831277 , 260.870380 , 260.231921 , 259.848971 , 263.069287 , 262.829099 , 261.297212 , 260.468547 , 260.962657 , 260.754787 , 260.782074 , 260.244392 , 263.248285 , 262.224661 , 259.936356 , 262.307604 , 262.698634 , 262.259535 , 262.425491 , 262.041006 , 264.711811 , 264.537483 , 262.019158 , 263.940932 , 263.309260 , 263.819921 , 264.324985 , 263.419804 , 265.954522 , 266.150658 , 263.942502 , 0.0};
TH1F *delays = new TH1F("VZEROTimeDelays","VZERO Time delays",64,-0.5,63.5);
delays->SetContent(timeShift);
AliCDBMetaData *md= new AliCDBMetaData(); // metaData describing the object
md->SetResponsible("Brigitte Cheynis");
md->SetBeamPeriod(0);
md->SetAliRootVersion(gSystem->Getenv("ARVERSION"));
md->SetComment("Time delays channel by channel for Run2");
md->PrintMetaData();
AliCDBId id("VZERO/Calib/TimeDelays",215011,AliCDBRunRange::Infinity());
man->Put(delays, id, md);
delete md;
}示例2: MakeADLightYieldsEntry
void MakeADLightYieldsEntry(const char *outputCDB = "local://$ALICE_ROOT/../AliRoot/OCDB")
{
AliCDBManager *man = AliCDBManager::Instance();
man->SetDefaultStorage(outputCDB);
// Creation of the light yields OCDB object
const Double_t lightYieldCorr[18] = {0.0,
2.2e-4,2.2e-4,2.2e-4,2.2e-4, 2.2e-4,2.2e-4,2.2e-4,2.2e-4,
2.4e-4,2.4e-4,2.6e-4,2.6e-4, 2.4e-4,2.4e-4,2.6e-4,2.6e-4,
0.0};
TH1F *yields = new TH1F("ADLightYields", "AD Light Yields", 16, -0.5, 15.5);
yields->SetContent(lightYieldCorr);
AliCDBMetaData *md = new AliCDBMetaData(); // metaData describing the object
md->SetResponsible("Michal Broz");
md->SetBeamPeriod(0);
md->SetAliRootVersion(gSystem->Getenv("ARVERSION"));
md->SetComment("Light Yields channel by channel");
md->PrintMetaData();
AliCDBId id("AD/Calib/LightYields", 0, AliCDBRunRange::Infinity());
man->Put(yields, id, md);
delete md;
}示例3: MakeVZEROTimeDelaysEntry
void MakeVZEROTimeDelaysEntry()
{
AliCDBManager *man = AliCDBManager::Instance();
man->SetDefaultStorage("local://$ALICE_ROOT/OCDB");
// Creation of the time delays OCDB object
const Double_t timeShift[66] = {0.0 , 0.477957 , 0.0889999 , 0.757669 , 0.205439 , 0.239666 , -0.183705 , 0.442873 , -0.281366 , 0.260976 , 0.788995 , 0.974758 , 0.548532 , 0.495023 , 0.868472 , 0.661167 , 0.358307 , 0.221243 , 0.530179 , 1.26696 , 1.33082 , 1.27086 , 1.77133 , 1.10253 , 0.634806+0.885 , 2.14838 , 1.50212 , 1.59253 , 1.66122+0.740 , 1.16957 , 1.52056 , 1.47791 , 1.81905 , -1.94123 , -1.29124-0.350 , -2.16045 , -1.78939 , -3.11111 , -1.87178 , -1.57671-0.560 , -1.70311 , -1.81208 , -1.94475 , -2.53058+0.930 , -1.7042 , -2.08109 , -1.84416 , -0.61073 , -1.77145 , 0.16999 , -0.0585339 , 0.00401133 , 0.397726 , 0.851111 , 0.264187 , 0.59573 , -0.158263 , 0.584362 , 1.20835 , 0.927573 , 1.13895 , 0.64648 , 2.18747 , 1.68909 , 0.451194 , 0.0};
TH1F *delays = new TH1F("VZEROTimeDelays","VZERO Time delays",64,-0.5,63.5);
delays->SetContent(timeShift);
AliCDBMetaData *md= new AliCDBMetaData(); // metaData describing the object
md->SetResponsible("Brigitte Cheynis");
md->SetBeamPeriod(0);
md->SetAliRootVersion(gSystem->Getenv("ARVERSION"));
md->SetComment("Time delays channel by channel for year >= 2012");
md->PrintMetaData();
AliCDBId id("VZERO/Calib/TimeDelays",0,AliCDBRunRange::Infinity());
man->Put(delays, id, md);
delete md;
}示例4: MakeADTimeDelaysEntry
void MakeADTimeDelaysEntry(const char *outputCDB = "local://$ALICE_ROOT/../AliRoot/OCDB")
{
AliCDBManager *man = AliCDBManager::Instance();
man->SetDefaultStorage(outputCDB);
// Creation of the time delays OCDB object
//const Double_t timeShift[18] = {0.0, 203.2, 203.4, 203.5, 203.0, 203.4, 203.5, 203.1, 203.2, 194.2, 194.4, 194.5, 194.2, 194.7, 194.5, 194.3, 192.8, 0.0};
const Double_t timeShift[18] = {0.0, 61.6091, 61.1891, 60.5191, 61.3591, 60.7691, 62.0291, 61.1091, 61.4591, 62.3491, 62.7891, 59.7791, 60.0991, 63.3091, 62.7691, 59.6491, 61.5091, 0.0};
TH1F *delays = new TH1F("ADTimeDelays", "AD Time delays", 16, -0.5, 15.5);
delays->SetContent(timeShift);
AliCDBMetaData *md= new AliCDBMetaData(); // metaData describing the object
md->SetResponsible("Michal Broz");
md->SetBeamPeriod(0);
md->SetAliRootVersion(gSystem->Getenv("ARVERSION"));
md->SetComment("Time delays channel by channel");
md->PrintMetaData();
AliCDBStorage *storLoc = man->GetDefaultStorage();
AliCDBId id("AD/Calib/TimeDelays", 0, AliCDBRunRange::Infinity());
man->Put(delays, id, md);
delete md;
}示例5: MbPythiaTuneATLAS_Flat
AliGenerator* MbPythiaTuneATLAS_Flat()
{
AliGenPythia* pythia = MbPythiaTuneATLAS();
comment = comment.Append("; flat multiplicity distribution");
// set high multiplicity trigger
// this weight achieves a flat multiplicity distribution
Double_t cont[] =
{0,
0.234836, 0.103484, 0.00984802, 0.0199906, 0.0260018, 0.0208481, 0.0101477, 0.00146998, -0.00681513, -0.0114928,
-0.0113352, -0.0102012, -0.00895238, -0.00534961, -0.00261648, -0.000819048, 0.00130816, 0.00177978, 0.00373838, 0.00566255,
0.00628156, 0.00687458, 0.00668017, 0.00702917, 0.00810848, 0.00876167, 0.00832783, 0.00848518, 0.0107709, 0.0106849,
0.00933702, 0.00912525, 0.0106553, 0.0102785, 0.0101756, 0.010962, 0.00957103, 0.00970448, 0.0117133, 0.012271,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0};
Double_t err[] =
{0,
0.00168216, 0.000743548, 0.00103125, 0.00108605, 0.00117101, 0.00124577, 0.00129119, 0.00128341, 0.00121421, 0.00112431,
0.00100588, 0.000895078, 0.000790314, 0.000711673, 0.000634547, 0.000589133, 0.000542763, 0.000509552, 0.000487375, 0.000468906,
0.000460196, 0.000455806, 0.00044843, 0.000449317, 0.00045007, 0.000458016, 0.000461167, 0.000474742, 0.00050161, 0.00051637,
0.000542336, 0.000558854, 0.000599169, 0.000611982, 0.000663855, 0.000696322, 0.000722825, 0.000771686, 0.000838023, 0.000908317,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0};
TH1F *weight = new TH1F("newweight","newweight",120,-0.5,119.5);
weight->SetContent(cont);
weight->SetError(err);
Int_t limit = weight->GetRandom();
pythia->SetTriggerChargedMultiplicity(limit, 1.4);
comment = comment.Append(Form("; multiplicity threshold set to %d in |eta| < 1.4", limit));
return pythia;
}示例6: OneSidedFrequentistUpperLimitWithBands
//.........这里部分代码省略.........
firstPOI->setVal( tmpPoint->getRealValue(firstPOI->GetName()) );
// double thisTS = profile->getVal();
double thisTS = fc.GetTestStatSampler()->EvaluateTestStatistic(*toyData,tmpPOI);
// cout << "poi = " << firstPOI->getVal()
// << " max is " << arMax << " this profile = " << thisTS << endl;
// cout << "thisTS = " << thisTS<<endl;
if(thisTS<=arMax){
thisUL = firstPOI->getVal();
} else{
break;
}
}
/*
// loop over points in belt to find upper limit for this toy data
double thisUL = 0;
for(Int_t i=0; i<histOfThresholds->GetNbinsX(); ++i){
tmpPoint = (RooArgSet*) parameterScan->get(i)->clone("temp");
cout <<"---------------- "<<i<<endl;
tmpPoint->Print("v");
cout << "from hist " << histOfThresholds->GetBinCenter(i+1) <<endl;
double arMax = histOfThresholds->GetBinContent(i+1);
// cout << " threhold from Hist = aMax " << arMax<<endl;
// double arMax2 = belt->GetAcceptanceRegionMax(*tmpPoint);
// cout << "from scan arMax2 = "<< arMax2 << endl; // not the same due to TH1F not TH1D
// cout << "scan - hist" << arMax2-arMax << endl;
firstPOI->setVal( histOfThresholds->GetBinCenter(i+1));
// double thisTS = profile->getVal();
double thisTS = fc.GetTestStatSampler()->EvaluateTestStatistic(*toyData,tmpPOI);
// cout << "poi = " << firstPOI->getVal()
// << " max is " << arMax << " this profile = " << thisTS << endl;
// cout << "thisTS = " << thisTS<<endl;
// NOTE: need to add a small epsilon term for single precision vs. double precision
if(thisTS<=arMax + 1e-7){
thisUL = firstPOI->getVal();
} else{
break;
}
}
*/
histOfUL->Fill(thisUL);
// for few events, data is often the same, and UL is often the same
// cout << "thisUL = " << thisUL<<endl;
delete toyData;
}
histOfUL->Draw();
c1->SaveAs("one-sided_upper_limit_output.pdf");
// if you want to see a plot of the sampling distribution for a particular scan point:
/*
SamplingDistPlot sampPlot;
int indexInScan = 0;
tmpPoint = (RooArgSet*) parameterScan->get(indexInScan)->clone("temp");
firstPOI->setVal( tmpPoint->getRealValue(firstPOI->GetName()) );
toymcsampler->SetParametersForTestStat(tmpPOI);
SamplingDistribution* samp = toymcsampler->GetSamplingDistribution(*tmpPoint);
sampPlot.AddSamplingDistribution(samp);
sampPlot.Draw();
*/
// Now find bands and power constraint
Double_t* bins = histOfUL->GetIntegral();
TH1F* cumulative = (TH1F*) histOfUL->Clone("cumulative");
cumulative->SetContent(bins);
double band2sigDown, band1sigDown, bandMedian, band1sigUp,band2sigUp;
for(int i=1; i<=cumulative->GetNbinsX(); ++i){
if(bins[i]<RooStats::SignificanceToPValue(2))
band2sigDown=cumulative->GetBinCenter(i);
if(bins[i]<RooStats::SignificanceToPValue(1))
band1sigDown=cumulative->GetBinCenter(i);
if(bins[i]<0.5)
bandMedian=cumulative->GetBinCenter(i);
if(bins[i]<RooStats::SignificanceToPValue(-1))
band1sigUp=cumulative->GetBinCenter(i);
if(bins[i]<RooStats::SignificanceToPValue(-2))
band2sigUp=cumulative->GetBinCenter(i);
}
cout << "-2 sigma band " << band2sigDown << endl;
cout << "-1 sigma band " << band1sigDown << " [Power Constraint)]" << endl;
cout << "median of band " << bandMedian << endl;
cout << "+1 sigma band " << band1sigUp << endl;
cout << "+2 sigma band " << band2sigUp << endl;
// print out the interval on the first Parameter of Interest
cout << "\nobserved 95% upper-limit "<< interval->UpperLimit(*firstPOI) <<endl;
cout << "CLb strict [P(toy>obs|0)] for observed 95% upper-limit "<< CLb <<endl;
cout << "CLb inclusive [P(toy>=obs|0)] for observed 95% upper-limit "<< CLbinclusive <<endl;
delete profile;
delete nll;
}示例7: OneSidedFrequentistUpperLimitWithBands_intermediate
//.........这里部分代码省略.........
firstPOI->setVal(0.);
profile->getVal(); // this will do fit and set nuisance parameters to profiled values
RooArgSet* poiAndNuisance = new RooArgSet();
if(mc->GetNuisanceParameters())
poiAndNuisance->add(*mc->GetNuisanceParameters());
poiAndNuisance->add(*mc->GetParametersOfInterest());
w->saveSnapshot("paramsToGenerateData",*poiAndNuisance);
RooArgSet* paramsToGenerateData = (RooArgSet*) poiAndNuisance->snapshot();
cout << "\nWill use these parameter points to generate pseudo data for bkg only" << endl;
paramsToGenerateData->Print("v");
double CLb=0;
double CLbinclusive=0;
// Now we generate background only and find distribution of upper limits
TH1F* histOfUL = new TH1F("histOfUL","",100,0,firstPOI->getMax());
histOfUL->GetXaxis()->SetTitle("Upper Limit (background only)");
histOfUL->GetYaxis()->SetTitle("Entries");
for(int imc=0; imc<nToyMC; ++imc){
// set parameters back to values for generating pseudo data
w->loadSnapshot("paramsToGenerateData");
// in 5.30 there is a nicer way to generate toy data & randomize global obs
RooAbsData* toyData = toymcsampler->GenerateToyData(*paramsToGenerateData);
// get test stat at observed UL in observed data
firstPOI->setVal(observedUL);
double toyTSatObsUL = fc.GetTestStatSampler()->EvaluateTestStatistic(*toyData,tmpPOI);
// toyData->get()->Print("v");
// cout <<"obsTSatObsUL " <<obsTSatObsUL << "toyTS " << toyTSatObsUL << endl;
if(obsTSatObsUL < toyTSatObsUL) // (should be checked)
CLb+= (1.)/nToyMC;
if(obsTSatObsUL <= toyTSatObsUL) // (should be checked)
CLbinclusive+= (1.)/nToyMC;
// loop over points in belt to find upper limit for this toy data
double thisUL = 0;
for(Int_t i=0; i<parameterScan->numEntries(); ++i){
tmpPoint = (RooArgSet*) parameterScan->get(i)->clone("temp");
double arMax = belt->GetAcceptanceRegionMax(*tmpPoint);
firstPOI->setVal( tmpPoint->getRealValue(firstPOI->GetName()) );
double thisTS = fc.GetTestStatSampler()->EvaluateTestStatistic(*toyData,tmpPOI);
if(thisTS<=arMax){
thisUL = firstPOI->getVal();
} else{
break;
}
}
histOfUL->Fill(thisUL);
delete toyData;
}
histOfUL->Draw();
c1->SaveAs("one-sided_upper_limit_output.pdf");
// if you want to see a plot of the sampling distribution for a particular scan point:
// Now find bands and power constraint
Double_t* bins = histOfUL->GetIntegral();
TH1F* cumulative = (TH1F*) histOfUL->Clone("cumulative");
cumulative->SetContent(bins);
double band2sigDown=0, band1sigDown=0, bandMedian=0, band1sigUp=0,band2sigUp=0;
for(int i=1; i<=cumulative->GetNbinsX(); ++i){
if(bins[i]<RooStats::SignificanceToPValue(2))
band2sigDown=cumulative->GetBinCenter(i);
if(bins[i]<RooStats::SignificanceToPValue(1))
band1sigDown=cumulative->GetBinCenter(i);
if(bins[i]<0.5)
bandMedian=cumulative->GetBinCenter(i);
if(bins[i]<RooStats::SignificanceToPValue(-1))
band1sigUp=cumulative->GetBinCenter(i);
if(bins[i]<RooStats::SignificanceToPValue(-2))
band2sigUp=cumulative->GetBinCenter(i);
}
t.Stop();
t.Print();
cout << "-2 sigma band " << band2sigDown << endl;
cout << "-1 sigma band " << band1sigDown << endl;
cout << "median of band " << bandMedian << " [Power Constriant)]" << endl;
cout << "+1 sigma band " << band1sigUp << endl;
cout << "+2 sigma band " << band2sigUp << endl;
// print out the iterval on the first Parameter of Interest
cout << "\nobserved 95% upper-limit "<< interval->UpperLimit(*firstPOI) <<endl;
cout << "CLb strict [P(toy>obs|0)] for observed 95% upper-limit "<< CLb <<endl;
cout << "CLb inclusive [P(toy>=obs|0)] for observed 95% upper-limit "<< CLbinclusive <<endl;
delete profile;
delete nll;
}开发者ID:gerbaudo，项目名称:hlfv-fitmodel，代码行数:101，代码来源:OneSidedFrequentistUpperLimitWithBands_intermediate.C