| 31 |
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|
| 32 |
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using namespace TMVA; |
| 33 |
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|
| 34 |
+ |
//-------------------------------------------------------------------- |
| 35 |
+ |
|
| 36 |
+ |
void fillUnderOverFlow(TH1F *h1, float value, float weight = 1) |
| 37 |
+ |
{ |
| 38 |
+ |
float min = h1->GetXaxis()->GetXmin(); |
| 39 |
+ |
float max = h1->GetXaxis()->GetXmax(); |
| 40 |
+ |
|
| 41 |
+ |
if (value > max) value = h1->GetBinCenter(h1->GetNbinsX()); |
| 42 |
+ |
if (value < min) value = h1->GetBinCenter(1); |
| 43 |
+ |
|
| 44 |
+ |
h1->Fill(value, weight); |
| 45 |
+ |
} |
| 46 |
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|
| 47 |
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//-------------------------------------------------------------------- |
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|
| 49 |
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void Classify_HWW( TString myMethodList = "" ) |
| 50 |
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{ |
| 51 |
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#ifdef __CINT__ |
| 52 |
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gROOT->ProcessLine( ".O0" ); // turn off optimization in CINT |
| 53 |
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#endif |
| 54 |
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|
| 55 |
+ |
//-------------------------------------------------------------------- |
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// path to weights dir (this is where MVA training info is stored) |
| 57 |
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// output root file will be stored at [path]/output |
| 58 |
+ |
//-------------------------------------------------------------------- |
| 59 |
+ |
|
| 60 |
+ |
//TString path = "Trainings/H130_WJetsFO3_tight_4vars/"; |
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TString path = "./"; |
| 62 |
+ |
|
| 63 |
+ |
//----------------------------------- |
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// select samples to run over |
| 65 |
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//----------------------------------- |
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|
| 67 |
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char* babyPath = "/tas/cerati/HtoWWmvaBabies/latest"; |
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|
| 69 |
+ |
vector<char*> samples; |
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+ |
samples.push_back("WWTo2L2Nu"); |
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+ |
samples.push_back("GluGluToWWTo4L"); |
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+ |
samples.push_back("WZ"); |
| 73 |
+ |
samples.push_back("ZZ"); |
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+ |
samples.push_back("TTJets"); |
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+ |
samples.push_back("tW"); |
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+ |
samples.push_back("WJetsToLNu"); |
| 77 |
+ |
samples.push_back("DY"); |
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+ |
samples.push_back("Higgs130"); |
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+ |
samples.push_back("WJetsFO3"); |
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// samples.push_back("Higgs160"); |
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+ |
// samples.push_back("Higgs200"); |
| 82 |
+ |
|
| 83 |
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//-------------------------------------------------------------------------------- |
| 84 |
+ |
// IMPORTANT: set the following variables to the same set used for MVA training!!! |
| 85 |
+ |
//-------------------------------------------------------------------------------- |
| 86 |
+ |
|
| 87 |
+ |
std::map<std::string,int> mvaVar; |
| 88 |
+ |
mvaVar[ "lephard_pt" ] = 1; |
| 89 |
+ |
mvaVar[ "lepsoft_pt" ] = 1; |
| 90 |
+ |
mvaVar[ "dil_dphi" ] = 1; |
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+ |
mvaVar[ "dil_mass" ] = 1; |
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+ |
mvaVar[ "event_type" ] = 0; |
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+ |
mvaVar[ "met_projpt" ] = 0; |
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+ |
mvaVar[ "met_pt" ] = 0; |
| 95 |
+ |
mvaVar[ "mt_lephardmet" ] = 0; |
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+ |
mvaVar[ "mt_lepsoftmet" ] = 0; |
| 97 |
+ |
mvaVar[ "dphi_lephardmet" ] = 0; |
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mvaVar[ "dphi_lepsoftmet" ] = 0; |
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mvaVar[ "lepsoft_fbrem" ] = 0; |
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mvaVar[ "lepsoft_eOverPIn" ] = 0; |
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mvaVar[ "lepsoft_qdphi" ] = 0; |
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|
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//--------------------------------------------------------------- |
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|
| 105 |
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// This loads the library |
| 196 |
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|
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// -------------------------------------------------------------------------------------------------- |
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|
| 136 |
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//----------------------------------- |
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//select samples to run over |
| 138 |
– |
//----------------------------------- |
| 139 |
– |
|
| 140 |
– |
vector<char*> samples; |
| 141 |
– |
samples.push_back("WWTo2L2Nu"); |
| 142 |
– |
samples.push_back("GluGluToWWTo4L"); |
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– |
samples.push_back("WZ"); |
| 144 |
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samples.push_back("ZZ"); |
| 145 |
– |
samples.push_back("TTJets"); |
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– |
samples.push_back("tW"); |
| 147 |
– |
samples.push_back("WJetsToLNu"); |
| 148 |
– |
samples.push_back("DY"); |
| 149 |
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samples.push_back("Higgs130"); |
| 150 |
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// samples.push_back("Higgs160"); |
| 151 |
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// samples.push_back("Higgs200"); |
| 152 |
– |
|
| 199 |
|
const unsigned int nsamples = samples.size(); |
| 200 |
< |
|
| 200 |
> |
|
| 201 |
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for( unsigned int i = 0 ; i < nsamples ; ++i ){ |
| 202 |
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|
| 203 |
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// --- Create the Reader object |
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Float_t lepsoft_pt; |
| 218 |
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Float_t dil_dphi; |
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Float_t dil_mass; |
| 220 |
< |
|
| 221 |
< |
reader->AddVariable( "lephard_pt" , &lephard_pt ); |
| 222 |
< |
reader->AddVariable( "lepsoft_pt" , &lepsoft_pt ); |
| 223 |
< |
reader->AddVariable( "dil_dphi" , &dil_dphi ); |
| 224 |
< |
reader->AddVariable( "dil_mass" , &dil_mass ); |
| 220 |
> |
Float_t event_type; |
| 221 |
> |
Float_t met_projpt; |
| 222 |
> |
Float_t met_pt; |
| 223 |
> |
Float_t mt_lephardmet; |
| 224 |
> |
Float_t mt_lepsoftmet; |
| 225 |
> |
Float_t dphi_lephardmet; |
| 226 |
> |
Float_t dphi_lepsoftmet; |
| 227 |
> |
Float_t lepsoft_fbrem; |
| 228 |
> |
Float_t lepsoft_eOverPIn; |
| 229 |
> |
Float_t lepsoft_qdphi; |
| 230 |
> |
|
| 231 |
> |
if( mvaVar["lephard_pt"]) reader->AddVariable( "lephard_pt" , &lephard_pt ); |
| 232 |
> |
if( mvaVar["lepsoft_pt"]) reader->AddVariable( "lepsoft_pt" , &lepsoft_pt ); |
| 233 |
> |
if( mvaVar["dil_dphi"]) reader->AddVariable( "dil_dphi" , &dil_dphi ); |
| 234 |
> |
if( mvaVar["dil_mass"]) reader->AddVariable( "dil_mass" , &dil_mass ); |
| 235 |
> |
if( mvaVar["event_type"]) reader->AddVariable( "event_type" , &event_type ); |
| 236 |
> |
if( mvaVar["met_projpt"]) reader->AddVariable( "met_projpt" , &met_pt ); |
| 237 |
> |
if( mvaVar["met_pt"]) reader->AddVariable( "met_pt" , &met_pt ); |
| 238 |
> |
if( mvaVar["mt_lephardmet"]) reader->AddVariable( "mt_lephardmet" , &mt_lephardmet ); |
| 239 |
> |
if( mvaVar["mt_lepsoftmet"]) reader->AddVariable( "mt_lepsoftmet" , &mt_lepsoftmet ); |
| 240 |
> |
if( mvaVar["dphi_lephardmet"]) reader->AddVariable( "dphi_lephardmet" , &dphi_lephardmet ); |
| 241 |
> |
if( mvaVar["dphi_lepsoftmet"]) reader->AddVariable( "dphi_lepsoftmet" , &dphi_lepsoftmet ); |
| 242 |
> |
if( mvaVar["lepsoft_fbrem"]) reader->AddVariable( "lepsoft_fbrem" , &lepsoft_fbrem ); |
| 243 |
> |
if( mvaVar["lepsoft_eOverPIn"]) reader->AddVariable( "lepsoft_eOverPIn" , &lepsoft_eOverPIn ); |
| 244 |
> |
if( mvaVar["lepsoft_qdphi"]) reader->AddVariable( "lepsoft_q * lepsoft_dPhiIn" , &lepsoft_qdphi ); |
| 245 |
> |
|
| 246 |
|
|
| 247 |
|
// Spectator variables declared in the training have to be added to the reader, too |
| 248 |
|
// Float_t spec1,spec2; |
| 265 |
|
// and the output root file is written to [path]/[output] |
| 266 |
|
//-------------------------------------------------------------------------------------- |
| 267 |
|
|
| 201 |
– |
//TString dir = "weights/"; |
| 202 |
– |
//TString path = "Trainings/H130_WWTo2L2Nu/"; |
| 203 |
– |
//TString path = "Trainings/H130_WWTo2L2Nu_WJetsToLNu/"; |
| 204 |
– |
TString path = "Trainings/H130_allbkg/"; |
| 268 |
|
TString dir = path + "weights/"; |
| 269 |
|
TString outdir = path + "output/"; |
| 207 |
– |
|
| 270 |
|
TString prefix = "TMVAClassification"; |
| 271 |
|
|
| 272 |
|
// Book method(s) |
| 286 |
|
TH1F *histNnC(0), *histNnT(0), *histBdt(0), *histBdtG(0), *histBdtD(0), *histRf(0), *histSVMG(0); |
| 287 |
|
TH1F *histSVMP(0), *histSVML(0), *histFDAMT(0), *histFDAGA(0), *histCat(0), *histPBdt(0); |
| 288 |
|
|
| 289 |
< |
if (Use["Likelihood"]) histLk = new TH1F( "MVA_Likelihood", "MVA_Likelihood", nbin, -1, 1 ); |
| 289 |
> |
if (Use["Likelihood"]) histLk = new TH1F( "MVA_Likelihood", "MVA_Likelihood", nbin, -1, 1 ); |
| 290 |
|
if (Use["LikelihoodD"]) histLkD = new TH1F( "MVA_LikelihoodD", "MVA_LikelihoodD", nbin, -1, 0.9999 ); |
| 291 |
|
if (Use["LikelihoodPCA"]) histLkPCA = new TH1F( "MVA_LikelihoodPCA", "MVA_LikelihoodPCA", nbin, -1, 1 ); |
| 292 |
|
if (Use["LikelihoodKDE"]) histLkKDE = new TH1F( "MVA_LikelihoodKDE", "MVA_LikelihoodKDE", nbin, -0.00001, 0.99999 ); |
| 305 |
|
if (Use["MLPBNN"]) histNnbnn = new TH1F( "MVA_MLPBNN", "MVA_MLPBNN", nbin, -1.25, 1.5 ); |
| 306 |
|
if (Use["CFMlpANN"]) histNnC = new TH1F( "MVA_CFMlpANN", "MVA_CFMlpANN", nbin, 0, 1 ); |
| 307 |
|
if (Use["TMlpANN"]) histNnT = new TH1F( "MVA_TMlpANN", "MVA_TMlpANN", nbin, -1.3, 1.3 ); |
| 308 |
< |
if (Use["BDT"]) histBdt = new TH1F( "MVA_BDT", "MVA_BDT", nbin, -0.8, 0.8 ); |
| 308 |
> |
if (Use["BDT"]) histBdt = new TH1F( "MVA_BDT", "MVA_BDT", nbin, -1. , 1. ); |
| 309 |
|
if (Use["BDTD"]) histBdtD = new TH1F( "MVA_BDTD", "MVA_BDTD", nbin, -0.8, 0.8 ); |
| 310 |
|
if (Use["BDTG"]) histBdtG = new TH1F( "MVA_BDTG", "MVA_BDTG", nbin, -1.0, 1.0 ); |
| 311 |
|
if (Use["RuleFit"]) histRf = new TH1F( "MVA_RuleFit", "MVA_RuleFit", nbin, -2.0, 2.0 ); |
| 317 |
|
if (Use["Category"]) histCat = new TH1F( "MVA_Category", "MVA_Category", nbin, -2., 2. ); |
| 318 |
|
if (Use["Plugin"]) histPBdt = new TH1F( "MVA_PBDT", "MVA_BDT", nbin, -0.8, 0.8 ); |
| 319 |
|
|
| 320 |
+ |
if (Use["Likelihood"]) histLk ->Sumw2(); |
| 321 |
+ |
if (Use["LikelihoodD"]) histLkD ->Sumw2(); |
| 322 |
+ |
if (Use["LikelihoodPCA"]) histLkPCA ->Sumw2(); |
| 323 |
+ |
if (Use["LikelihoodKDE"]) histLkKDE ->Sumw2(); |
| 324 |
+ |
if (Use["LikelihoodMIX"]) histLkMIX ->Sumw2(); |
| 325 |
+ |
if (Use["PDERS"]) histPD ->Sumw2(); |
| 326 |
+ |
if (Use["PDERSD"]) histPDD ->Sumw2(); |
| 327 |
+ |
if (Use["PDERSPCA"]) histPDPCA ->Sumw2(); |
| 328 |
+ |
if (Use["KNN"]) histKNN ->Sumw2(); |
| 329 |
+ |
if (Use["HMatrix"]) histHm ->Sumw2(); |
| 330 |
+ |
if (Use["Fisher"]) histFi ->Sumw2(); |
| 331 |
+ |
if (Use["FisherG"]) histFiG ->Sumw2(); |
| 332 |
+ |
if (Use["BoostedFisher"]) histFiB ->Sumw2(); |
| 333 |
+ |
if (Use["LD"]) histLD ->Sumw2(); |
| 334 |
+ |
if (Use["MLP"]) histNn ->Sumw2(); |
| 335 |
+ |
if (Use["MLPBFGS"]) histNnbfgs ->Sumw2(); |
| 336 |
+ |
if (Use["MLPBNN"]) histNnbnn ->Sumw2(); |
| 337 |
+ |
if (Use["CFMlpANN"]) histNnC ->Sumw2(); |
| 338 |
+ |
if (Use["TMlpANN"]) histNnT ->Sumw2(); |
| 339 |
+ |
if (Use["BDT"]) histBdt ->Sumw2(); |
| 340 |
+ |
if (Use["BDTD"]) histBdtD ->Sumw2(); |
| 341 |
+ |
if (Use["BDTG"]) histBdtG ->Sumw2(); |
| 342 |
+ |
if (Use["RuleFit"]) histRf ->Sumw2(); |
| 343 |
+ |
if (Use["SVM_Gauss"]) histSVMG ->Sumw2(); |
| 344 |
+ |
if (Use["SVM_Poly"]) histSVMP ->Sumw2(); |
| 345 |
+ |
if (Use["SVM_Lin"]) histSVML ->Sumw2(); |
| 346 |
+ |
if (Use["FDA_MT"]) histFDAMT ->Sumw2(); |
| 347 |
+ |
if (Use["FDA_GA"]) histFDAGA ->Sumw2(); |
| 348 |
+ |
if (Use["Category"]) histCat ->Sumw2(); |
| 349 |
+ |
if (Use["Plugin"]) histPBdt ->Sumw2(); |
| 350 |
+ |
|
| 351 |
|
// PDEFoam also returns per-event error, fill in histogram, and also fill significance |
| 352 |
|
if (Use["PDEFoam"]) { |
| 353 |
|
histPDEFoam = new TH1F( "MVA_PDEFoam", "MVA_PDEFoam", nbin, 0, 1 ); |
| 367 |
|
// we'll later on use only the "signal" events for the test in this example. |
| 368 |
|
// |
| 369 |
|
|
| 370 |
< |
char* prefix = "babies/v3"; |
| 370 |
> |
|
| 371 |
|
TChain *ch = new TChain("Events"); |
| 372 |
|
|
| 373 |
|
if( strcmp( samples.at(i) , "DY" ) == 0 ){ |
| 374 |
< |
ch -> Add( Form("%s/DYToMuMuM20_PU_testFinal_baby.root",prefix) ); |
| 375 |
< |
ch -> Add( Form("%s/DYToMuMuM10To20_PU_testFinal_baby.root",prefix) ); |
| 376 |
< |
ch -> Add( Form("%s/DYToEEM20_PU_testFinal_baby.root",prefix) ); |
| 377 |
< |
ch -> Add( Form("%s/DYToEEM10To20_PU_testFinal_baby.root",prefix) ); |
| 378 |
< |
ch -> Add( Form("%s/DYToTauTauM20_PU_testFinal_baby.root",prefix) ); |
| 379 |
< |
ch -> Add( Form("%s/DYToTauTauM10To20_PU_testFinal_baby.root",prefix) ); |
| 374 |
> |
ch -> Add( Form("%s/DYToMuMuM20_PU_testFinal_baby.root",babyPath) ); |
| 375 |
> |
ch -> Add( Form("%s/DYToMuMuM10To20_PU_testFinal_baby.root",babyPath) ); |
| 376 |
> |
ch -> Add( Form("%s/DYToEEM20_PU_testFinal_baby.root",babyPath) ); |
| 377 |
> |
ch -> Add( Form("%s/DYToEEM10To20_PU_testFinal_baby.root",babyPath) ); |
| 378 |
> |
ch -> Add( Form("%s/DYToTauTauM20_PU_testFinal_baby.root",babyPath) ); |
| 379 |
> |
ch -> Add( Form("%s/DYToTauTauM10To20_PU_testFinal_baby.root",babyPath) ); |
| 380 |
> |
} |
| 381 |
> |
if( strcmp( samples.at(i) , "WJetsFO3" ) == 0 ){ |
| 382 |
> |
ch -> Add( Form("%s/WJetsToLNu_FOv3_PU_testFinal_baby.root",babyPath) ); |
| 383 |
> |
ch -> Add( Form("%s/WToLNu_FOv3_testFinal_baby.root",babyPath) ); |
| 384 |
|
} |
| 385 |
|
else if( strcmp( samples.at(i) , "Higgs130" ) == 0 ){ |
| 386 |
< |
ch -> Add( Form("%s/HToWWTo2L2NuM130_PU_testFinal_baby.root",prefix) ); |
| 387 |
< |
ch -> Add( Form("%s/HToWWToLNuTauNuM130_PU_testFinal_baby.root",prefix) ); |
| 388 |
< |
ch -> Add( Form("%s/HToWWTo2Tau2NuM130_PU_testFinal_baby.root",prefix) ); |
| 386 |
> |
ch -> Add( Form("%s/HToWWTo2L2NuM130_PU_testFinal_baby.root",babyPath) ); |
| 387 |
> |
ch -> Add( Form("%s/HToWWToLNuTauNuM130_PU_testFinal_baby.root",babyPath) ); |
| 388 |
> |
ch -> Add( Form("%s/HToWWTo2Tau2NuM130_PU_testFinal_baby.root",babyPath) ); |
| 389 |
|
} |
| 390 |
|
else if( strcmp( samples.at(i) , "Higgs160" ) == 0 ){ |
| 391 |
< |
ch -> Add( Form("%s/HToWWTo2L2NuM160_PU_testFinal_baby.root",prefix) ); |
| 392 |
< |
ch -> Add( Form("%s/HToWWToLNuTauNuM160_PU_testFinal_baby.root",prefix) ); |
| 393 |
< |
ch -> Add( Form("%s/HToWWTo2Tau2NuM160_PU_testFinal_baby.root",prefix) ); |
| 391 |
> |
ch -> Add( Form("%s/HToWWTo2L2NuM160_PU_testFinal_baby.root",babyPath) ); |
| 392 |
> |
ch -> Add( Form("%s/HToWWToLNuTauNuM160_PU_testFinal_baby.root",babyPath) ); |
| 393 |
> |
ch -> Add( Form("%s/HToWWTo2Tau2NuM160_PU_testFinal_baby.root",babyPath) ); |
| 394 |
|
} |
| 395 |
|
else if( strcmp( samples.at(i) , "Higgs200" ) == 0 ){ |
| 396 |
< |
ch -> Add( Form("%s/HToWWTo2L2NuM200_PU_testFinal_baby.root",prefix) ); |
| 397 |
< |
ch -> Add( Form("%s/HToWWToLNuTauNuM200_PU_testFinal_baby.root",prefix) ); |
| 398 |
< |
ch -> Add( Form("%s/HToWWTo2Tau2NuM200_PU_testFinal_baby.root",prefix) ); |
| 396 |
> |
ch -> Add( Form("%s/HToWWTo2L2NuM200_PU_testFinal_baby.root",babyPath) ); |
| 397 |
> |
ch -> Add( Form("%s/HToWWToLNuTauNuM200_PU_testFinal_baby.root",babyPath) ); |
| 398 |
> |
ch -> Add( Form("%s/HToWWTo2Tau2NuM200_PU_testFinal_baby.root",babyPath) ); |
| 399 |
|
} |
| 400 |
|
else{ |
| 401 |
< |
ch -> Add( Form("%s/%s_PU_testFinal_baby.root",prefix,samples.at(i)) ); |
| 401 |
> |
ch -> Add( Form("%s/%s_PU_testFinal_baby.root",babyPath,samples.at(i)) ); |
| 402 |
|
} |
| 403 |
|
|
| 307 |
– |
|
| 308 |
– |
|
| 404 |
|
// --- Event loop |
| 405 |
|
|
| 406 |
|
// Prepare the event tree |
| 423 |
|
|
| 424 |
|
Float_t lephard_pt_; |
| 425 |
|
Float_t lepsoft_pt_; |
| 426 |
+ |
Float_t lepsoft_fr_; |
| 427 |
|
Float_t dil_dphi_; |
| 428 |
|
Float_t dil_mass_; |
| 429 |
< |
Int_t event_type_; |
| 429 |
> |
Float_t event_type_; |
| 430 |
|
Float_t met_projpt_; |
| 431 |
|
Int_t jets_num_; |
| 432 |
|
Int_t extralep_num_; |
| 433 |
|
Int_t lowptbtags_num_; |
| 434 |
|
Int_t softmu_num_; |
| 435 |
|
Float_t event_scale1fb_; |
| 436 |
< |
|
| 437 |
< |
theTree->SetBranchAddress( "lephard_pt_" , &lephard_pt_ ); |
| 438 |
< |
theTree->SetBranchAddress( "lepsoft_pt_" , &lepsoft_pt_ ); |
| 439 |
< |
theTree->SetBranchAddress( "dil_dphi_" , &dil_dphi_ ); |
| 440 |
< |
theTree->SetBranchAddress( "dil_mass_" , &dil_mass_ ); |
| 441 |
< |
theTree->SetBranchAddress( "event_type_" , &event_type_ ); |
| 442 |
< |
theTree->SetBranchAddress( "met_projpt_" , &met_projpt_ ); |
| 443 |
< |
theTree->SetBranchAddress( "jets_num_" , &jets_num_ ); |
| 444 |
< |
theTree->SetBranchAddress( "extralep_num_" , &extralep_num_ ); |
| 445 |
< |
theTree->SetBranchAddress( "lowptbtags_num_" , &lowptbtags_num_ ); |
| 446 |
< |
theTree->SetBranchAddress( "softmu_num_" , &softmu_num_ ); |
| 447 |
< |
theTree->SetBranchAddress( "event_scale1fb_" , &event_scale1fb_ ); |
| 436 |
> |
Float_t met_pt_; |
| 437 |
> |
Int_t lepsoft_passTighterId_; |
| 438 |
> |
Float_t mt_lephardmet_; |
| 439 |
> |
Float_t mt_lepsoftmet_; |
| 440 |
> |
Float_t dphi_lephardmet_; |
| 441 |
> |
Float_t dphi_lepsoftmet_; |
| 442 |
> |
Float_t lepsoft_fbrem_; |
| 443 |
> |
Float_t lepsoft_eOverPIn_; |
| 444 |
> |
Float_t lepsoft_q_; |
| 445 |
> |
Float_t lepsoft_dPhiIn_; |
| 446 |
> |
|
| 447 |
> |
theTree->SetBranchAddress( "lephard_pt_" , &lephard_pt_ ); |
| 448 |
> |
theTree->SetBranchAddress( "lepsoft_pt_" , &lepsoft_pt_ ); |
| 449 |
> |
theTree->SetBranchAddress( "lepsoft_fr_" , &lepsoft_fr_ ); |
| 450 |
> |
theTree->SetBranchAddress( "dil_dphi_" , &dil_dphi_ ); |
| 451 |
> |
theTree->SetBranchAddress( "dil_mass_" , &dil_mass_ ); |
| 452 |
> |
theTree->SetBranchAddress( "event_type_" , &event_type_ ); |
| 453 |
> |
theTree->SetBranchAddress( "met_projpt_" , &met_projpt_ ); |
| 454 |
> |
theTree->SetBranchAddress( "jets_num_" , &jets_num_ ); |
| 455 |
> |
theTree->SetBranchAddress( "extralep_num_" , &extralep_num_ ); |
| 456 |
> |
theTree->SetBranchAddress( "lowptbtags_num_" , &lowptbtags_num_ ); |
| 457 |
> |
theTree->SetBranchAddress( "softmu_num_" , &softmu_num_ ); |
| 458 |
> |
theTree->SetBranchAddress( "event_scale1fb_" , &event_scale1fb_ ); |
| 459 |
> |
theTree->SetBranchAddress( "lepsoft_passTighterId_" , &lepsoft_passTighterId_ ); |
| 460 |
> |
theTree->SetBranchAddress( "met_pt_" , &met_pt_ ); |
| 461 |
> |
theTree->SetBranchAddress( "mt_lephardmet_" , &mt_lephardmet_ ); |
| 462 |
> |
theTree->SetBranchAddress( "mt_lepsoftmet_" , &mt_lepsoftmet_ ); |
| 463 |
> |
theTree->SetBranchAddress( "dphi_lephardmet_" , &dphi_lephardmet_ ); |
| 464 |
> |
theTree->SetBranchAddress( "dphi_lepsoftmet_" , &dphi_lepsoftmet_ ); |
| 465 |
> |
theTree->SetBranchAddress( "lepsoft_fbrem_" , &lepsoft_fbrem_ ); |
| 466 |
> |
theTree->SetBranchAddress( "lepsoft_eOverPIn_" , &lepsoft_eOverPIn_ ); |
| 467 |
> |
theTree->SetBranchAddress( "lepsoft_q_" , &lepsoft_q_ ); |
| 468 |
> |
theTree->SetBranchAddress( "lepsoft_dPhiIn_" , &lepsoft_dPhiIn_ ); |
| 469 |
|
|
| 470 |
|
// Efficiency calculator for cut method |
| 471 |
|
Int_t nSelCutsGA = 0; |
| 477 |
|
TStopwatch sw; |
| 478 |
|
sw.Start(); |
| 479 |
|
|
| 480 |
< |
int npass = 0; |
| 481 |
< |
|
| 480 |
> |
int npass = 0; |
| 481 |
> |
float yield = 0.; |
| 482 |
> |
|
| 483 |
|
for (Long64_t ievt=0; ievt<theTree->GetEntries();ievt++) { |
| 484 |
|
|
| 485 |
|
if (ievt%1000 == 0) std::cout << "--- ... Processing event: " << ievt << std::endl; |
| 491 |
|
//------------------------------------------------------- |
| 492 |
|
|
| 493 |
|
//em |
| 494 |
< |
if( event_type_ == 1 || event_type == 2 ){ |
| 494 |
> |
if( event_type_ > 0.5 && event_type_ < 2.5 ){ |
| 495 |
|
if( met_projpt_ < 20. ) continue; |
| 496 |
|
} |
| 497 |
|
//ee/mm |
| 498 |
< |
if( event_type_ == 0 || event_type == 3 ){ |
| 498 |
> |
if( event_type_ < 0.5 || event_type_ > 2.5 ){ |
| 499 |
|
if( met_projpt_ < 35. ) continue; |
| 500 |
|
} |
| 501 |
|
|
| 502 |
< |
if( lephard_pt_ < 20. ) continue; |
| 503 |
< |
//if( lepsoft_pt_ < 10. ) continue; |
| 504 |
< |
if( lepsoft_pt_ < 20. ) continue; |
| 505 |
< |
if( jets_num_ > 0 ) continue; |
| 506 |
< |
if( extralep_num_ > 0 ) continue; |
| 507 |
< |
if( lowptbtags_num_ > 0 ) continue; |
| 508 |
< |
if( softmu_num_ > 0 ) continue; |
| 509 |
< |
if( dil_mass_ < 12. ) continue; |
| 510 |
< |
|
| 511 |
< |
float weight = event_scale1fb_ * 0.0355; |
| 512 |
< |
|
| 513 |
< |
lephard_pt = lephard_pt_; |
| 514 |
< |
lepsoft_pt = lepsoft_pt_; |
| 515 |
< |
dil_mass = dil_mass_; |
| 516 |
< |
dil_dphi = dil_dphi_; |
| 502 |
> |
if( lephard_pt_ < 20. ) continue; |
| 503 |
> |
if( lepsoft_pt_ < 10. ) continue; |
| 504 |
> |
//if( lepsoft_pt_ < 20. ) continue; |
| 505 |
> |
if( jets_num_ > 0 ) continue; |
| 506 |
> |
if( extralep_num_ > 0 ) continue; |
| 507 |
> |
if( lowptbtags_num_ > 0 ) continue; |
| 508 |
> |
if( softmu_num_ > 0 ) continue; |
| 509 |
> |
if( dil_mass_ < 12. ) continue; |
| 510 |
> |
if( lepsoft_passTighterId_ == 0 ) continue; |
| 511 |
> |
if( event_type_ < 1.5 ) continue; |
| 512 |
> |
if( dil_mass_ > 90. ) continue; |
| 513 |
> |
|
| 514 |
> |
float weight = event_scale1fb_ * lepsoft_fr_ * 0.5; |
| 515 |
> |
|
| 516 |
> |
//-------------------------------------------------------- |
| 517 |
> |
// important: here we associate branches to MVA variables |
| 518 |
> |
//-------------------------------------------------------- |
| 519 |
> |
|
| 520 |
> |
lephard_pt = lephard_pt_; |
| 521 |
> |
lepsoft_pt = lepsoft_pt_; |
| 522 |
> |
dil_mass = dil_mass_; |
| 523 |
> |
dil_dphi = dil_dphi_; |
| 524 |
> |
event_type = event_type_; |
| 525 |
> |
met_pt = met_pt_; |
| 526 |
> |
met_projpt = met_projpt_; |
| 527 |
> |
mt_lephardmet = mt_lephardmet_; |
| 528 |
> |
mt_lepsoftmet = mt_lepsoftmet_; |
| 529 |
> |
dphi_lephardmet = dphi_lephardmet_; |
| 530 |
> |
dphi_lepsoftmet = dphi_lepsoftmet_; |
| 531 |
> |
lepsoft_fbrem = lepsoft_fbrem_; |
| 532 |
> |
lepsoft_eOverPIn = lepsoft_eOverPIn_; |
| 533 |
> |
lepsoft_qdphi = lepsoft_q_ * lepsoft_dPhiIn_; |
| 534 |
|
|
| 535 |
|
npass++; |
| 536 |
+ |
yield+=weight; |
| 537 |
+ |
|
| 538 |
|
// var1 = userVar1 + userVar2; |
| 539 |
|
// var2 = userVar1 - userVar2; |
| 540 |
|
|
| 593 |
|
} |
| 594 |
|
} |
| 595 |
|
|
| 596 |
< |
std::cout << npass << " events passing selection" << std::endl; |
| 596 |
> |
std::cout << npass << " events passing selection, yield " << yield << std::endl; |
| 597 |
|
|
| 598 |
|
// Get elapsed time |
| 599 |
|
sw.Stop(); |
