void getLimitCL95(std::string oDir,
double ilum = 195600.,
double slum = 558.) {
//
// compute limit in a counting experiment
//
// read backgrounds etc from target dir
std::cout << "Backgrounds" << std::endl;
double bgZjets(0.), err_bgZjets(0.);
double bgWjets(0.), err_bgWjets(0.);
double bgQCD(0.), err_bgQCD(0.);
ifstream file;
double n, err_n;
std::string name;
file.open( (oDir+std::string("/zjets.txt")).c_str() );
while (file >> name >> n >> err_n) {
if (name == "Signal") {
bgZjets = n;
err_bgZjets = err_n;
}
}
file.close();
std::cout << "Z+jets : " << bgZjets << " +/- " << err_bgZjets << std::endl;
file.open( (oDir+std::string("/wjets.txt")).c_str() );
while (file >> name >> n >> err_n) {
if (name == "Signal") {
bgWjets = n;
err_bgWjets = err_n;
}
}
file.close();
std::cout << "W+jets : " << bgWjets << " +/- " << err_bgWjets << std::endl;
file.open( (oDir+std::string("/qcd.txt")).c_str() );
while (file >> name >> n >> err_n) {
if (name == "Signal") {
bgQCD = n;
err_bgQCD = err_n;
}
}
file.close();
std::cout << "QCD : " << bgQCD << " +/- " << err_bgQCD << std::endl;
// total BG
double bgTot = bgZjets + bgWjets + bgQCD;
double err_bgTot = sqrt( pow(err_bgZjets, 2) + pow(err_bgWjets, 2) + pow(err_bgQCD, 2) );
std::cout << "Total : " << bgTot << " +/- " << err_bgTot << std::endl;
std::cout << std::endl;
// observed
std::cout << "Observed" << std::endl;
int nObs = int(bgTot);
// file.open((oDir+std::string("/obs.txt")).c_str());
// while (file >> name >> n) {
// if (name == "Signal") {
// nObs = n;
// }
// }
// file.close();
std::cout << "Obs : " << nObs << std::endl;
std::cout << std::endl;
// read signal efficiencies from file
std::cout << "Signal efficiency" << std::endl;
std::vector<double> mH, xsH, effSignal, err_effSignal;
file.open( (oDir+std::string("/signal.txt")).c_str() );
std::string line;
getline(file, line);
int i=0;
double m, eff, err, a,b,c,d,x;
while (file >> name >> m >> eff >> err >> a >> b >> c >> d >> x) {
mH.push_back( m );
xsH.push_back( x );
effSignal.push_back( eff );
err_effSignal.push_back( err );
std::cout << "Signal " << m << " xs=" << x << " : " << eff << " +/- " << err << std::endl;
}
file.close();
std::cout << std::endl;
std::cout << "Going to compute limit for mH=" << mH[0] << ". VBF x-section=" << xsH[0] << std::endl;
std::cout << std::endl;
// optional: set some parameters
SetParameter("Optimize", false);
SetParameter("CorrelatedLumiSyst", false);
SetParameter("MakePlot", true);
SetParameter("GaussianStatistics", false);
SetParameter("NClsSteps", 10);
SetParameter("NToys", 1000);
SetParameter("CalculatorType", 0); // 0 for frequentist
SetParameter("TestStatType", 3); // LHC-style 1-sided profile likelihood
SetParameter("Verbosity", 3);
SetParameter("RandomSeed", 0);
SetParameter("ConfidenceLevel", 0.95);
SetParameter("NToysRatio", 2.0);
// will work with any method, example shown for Bayesian
LimitResult expected = GetExpectedLimit(ilum, slum,
effSignal[0], err_effSignal[0],
bgTot, err_bgTot,
100,
"bayesian");
std::cout << " expected limit (median) " << expected.GetExpectedLimit() << std::endl;
std::cout << " expected limit (-1 sig) " << expected.GetOneSigmaLowRange() << std::endl;
std::cout << " expected limit (+1 sig) " << expected.GetOneSigmaHighRange() << std::endl;
std::cout << " expected limit (-2 sig) " << expected.GetTwoSigmaLowRange() << std::endl;
std::cout << " expected limit (+2 sig) " << expected.GetTwoSigmaHighRange() << std::endl;
// write summary file
ofstream oFile;
oFile.open( (oDir+std::string("/RooStatsCL95.txt")).c_str() );
oFile << "Lumi=" << ilum << " +/- " << slum << std::endl;
oFile << std::endl;
oFile << "Backgrounds" << std::endl;
oFile << "Z+jets : " << bgZjets << " +/- " << err_bgZjets << std::endl;
oFile << "W+jets : " << bgWjets << " +/- " << err_bgWjets << std::endl;
oFile << "QCD : " << bgQCD << " +/- " << err_bgQCD << std::endl;
oFile << "Total : " << bgTot << " +/- " << err_bgTot << std::endl;
oFile << std::endl;
oFile << "Observed : " << nObs << std::endl;
oFile << std::endl;
oFile << "Signal point" << std::endl;
oFile << "mH=" << mH[0] << ". VBF x-section=" << xsH[0] << std::endl;
oFile << "eff=" << effSignal[0] << " +/- " << err_effSignal[0] << std::endl;
oFile << "yield (100% inv BF)=" << int(xsH[0]*ilum*effSignal[0]) << std::endl;
oFile << std::endl;
oFile << "Results" << std::endl;
oFile << " expected limit (median) " << expected.GetExpectedLimit() << std::endl;
oFile << " expected limit (-1 sig) " << expected.GetOneSigmaLowRange() << std::endl;
oFile << " expected limit (+1 sig) " << expected.GetOneSigmaHighRange() << std::endl;
oFile << " expected limit (-2 sig) " << expected.GetTwoSigmaLowRange() << std::endl;
oFile << " expected limit (+2 sig) " << expected.GetTwoSigmaHighRange() << std::endl;
oFile << std::endl;
oFile.close();
return;
}
void limit( std::string method = "bayesian" ){
//
// compute limit in a counting experiment
//
double ilum = 1.0;
double slum = 0.0;
double eff = 1.0;
double seff = 0.0;
double bkg = 1.44;
double sbkg = 0.74;
int data = 6;
// optional: set some parameters
SetParameter("Optimize", false);
SetParameter("CorrelatedLumiSyst", false);
SetParameter("MakePlot", true);
SetParameter("GaussianStatistics", false);
SetParameter("NClsSteps", 10);
SetParameter("NToys", 1000);
SetParameter("CalculatorType", 0); // 0 for frequentist
SetParameter("TestStatType", 3); // LHC-style 1-sided profile likelihood
SetParameter("Verbosity", 3);
SetParameter("RandomSeed", 0);
SetParameter("ConfidenceLevel", 0.95);
SetParameter("NToysRatio", 2.0);
SetParameter("MaxPoi", -1.0); // negative value - will guess automatically
SetParameter("MaxYield", -1.0); // negative value - will guess automatically
// bayesian limit
if (method.find("bayesian")!=std::string::npos){
double bayes_limit = GetBayesianLimit(ilum, slum,
eff, seff,
bkg, sbkg,
data);
std::cout << "observed 95% CL bayesian limit = " << bayes_limit << std::endl;
// expected limit
// will work with any method, example shown for Bayesian
LimitResult bayes_expected = GetExpectedLimit(ilum, slum,
eff, seff,
bkg, sbkg,
100,
"bayesian");
std::cout << " expected limit (median) " << bayes_expected.GetExpectedLimit() << std::endl;
std::cout << " expected limit (-1 sig) " << bayes_expected.GetOneSigmaLowRange() << std::endl;
std::cout << " expected limit (+1 sig) " << bayes_expected.GetOneSigmaHighRange() << std::endl;
std::cout << " expected limit (-2 sig) " << bayes_expected.GetTwoSigmaLowRange() << std::endl;
std::cout << " expected limit (+2 sig) " << bayes_expected.GetTwoSigmaHighRange() << std::endl;
}
// bayesian limit (MCMC)
if (method.find("mcmc")!=std::string::npos){
double bayes_limit = GetBayesianLimit(ilum, slum,
eff, seff,
bkg, sbkg,
data,
"mcmc");
std::cout << "observed 95% CL bayesian limit = " << bayes_limit << std::endl;
}
// CLs limit
if (method.find("cls")!=std::string::npos){
LimitResult cls_result = GetClsLimit(ilum, slum,
eff, seff,
bkg, sbkg,
data);
double cls_limit = cls_result.GetObservedLimit();
std::cout << "observed 95% CL limit = " << cls_limit << std::endl;
}
return;
}
