Go to the documentation of this file.00001
00002 #include "FWCore/Framework/interface/EDFilter.h"
00003 #include "FWCore/Utilities/interface/InputTag.h"
00004
00005 class PdfSystematicsAnalyzer: public edm::EDFilter {
00006 public:
00007 PdfSystematicsAnalyzer(const edm::ParameterSet& pset);
00008 virtual ~PdfSystematicsAnalyzer();
00009 virtual bool filter(edm::Event &, const edm::EventSetup&);
00010 virtual void beginJob() ;
00011 virtual void endJob() ;
00012 private:
00013 std::string selectorPath_;
00014 std::vector<edm::InputTag> pdfWeightTags_;
00015 unsigned int originalEvents_;
00016 unsigned int selectedEvents_;
00017 std::vector<int> pdfStart_;
00018 std::vector<double> weightedSelectedEvents_;
00019 std::vector<double> weighted2SelectedEvents_;
00020 std::vector<double> weightedEvents_;
00021 };
00022
00024 #include "FWCore/Framework/interface/MakerMacros.h"
00025 #include "FWCore/Framework/interface/Frameworkfwd.h"
00026 #include "FWCore/Framework/interface/Event.h"
00027 #include "FWCore/Framework/interface/EventSetup.h"
00028 #include "FWCore/Framework/interface/ESHandle.h"
00029 #include "DataFormats/Common/interface/Handle.h"
00030
00031 #include "FWCore/Common/interface/TriggerNames.h"
00032 #include "DataFormats/Common/interface/TriggerResults.h"
00033
00035 PdfSystematicsAnalyzer::PdfSystematicsAnalyzer(const edm::ParameterSet& pset) :
00036 selectorPath_(pset.getUntrackedParameter<std::string> ("SelectorPath","")),
00037 pdfWeightTags_(pset.getUntrackedParameter<std::vector<edm::InputTag> > ("PdfWeightTags")) {
00038 }
00039
00041 PdfSystematicsAnalyzer::~PdfSystematicsAnalyzer(){}
00042
00044 void PdfSystematicsAnalyzer::beginJob(){
00045 originalEvents_ = 0;
00046 selectedEvents_ = 0;
00047 edm::LogVerbatim("PDFAnalysis") << "PDF uncertainties will be determined for the following sets: ";
00048 for (unsigned int i=0; i<pdfWeightTags_.size(); ++i) {
00049 edm::LogVerbatim("PDFAnalysis") << "\t" << pdfWeightTags_[i].instance();
00050 pdfStart_.push_back(-1);
00051 }
00052 }
00053
00055 void PdfSystematicsAnalyzer::endJob(){
00056
00057 if (originalEvents_==0) {
00058 edm::LogVerbatim("PDFAnalysis") << "NO EVENTS => NO RESULTS";
00059 return;
00060 }
00061 if (selectedEvents_==0) {
00062 edm::LogVerbatim("PDFAnalysis") << "NO SELECTED EVENTS => NO RESULTS";
00063 return;
00064 }
00065
00066 edm::LogVerbatim("PDFAnalysis") << "\n>>>> Begin of PDF weight systematics summary >>>>";
00067 edm::LogVerbatim("PDFAnalysis") << "Total number of analyzed data: " << originalEvents_ << " [events]";
00068 double originalAcceptance = double(selectedEvents_)/originalEvents_;
00069 edm::LogVerbatim("PDFAnalysis") << "Total number of selected data: " << selectedEvents_ << " [events], corresponding to acceptance: [" << originalAcceptance*100 << " +- " << 100*sqrt( originalAcceptance*(1.-originalAcceptance)/originalEvents_) << "] %";
00070
00071 edm::LogVerbatim("PDFAnalysis") << "\n>>>>> PDF UNCERTAINTIES ON RATE >>>>>>";
00072 for (unsigned int i=0; i<pdfWeightTags_.size(); ++i) {
00073 bool nnpdfFlag = (pdfWeightTags_[i].instance().substr(0,5)=="NNPDF");
00074 unsigned int nmembers = weightedSelectedEvents_.size()-pdfStart_[i];
00075 if (i<pdfWeightTags_.size()-1) nmembers = pdfStart_[i+1] - pdfStart_[i];
00076 unsigned int npairs = (nmembers-1)/2;
00077 edm::LogVerbatim("PDFAnalysis") << "RATE Results for PDF set " << pdfWeightTags_[i].instance() << " ---->";
00078
00079 double events_central = weightedSelectedEvents_[pdfStart_[i]];
00080 edm::LogVerbatim("PDFAnalysis") << "\tEstimate for central PDF member: " << int(events_central) << " [events]";
00081 double events2_central = weighted2SelectedEvents_[pdfStart_[i]];
00082 edm::LogVerbatim("PDFAnalysis") << "\ti.e. [" << std::setprecision(4) << 100*(events_central-selectedEvents_)/selectedEvents_ << " +- " <<
00083 100*sqrt(events2_central-events_central+selectedEvents_*(1-originalAcceptance))/selectedEvents_
00084 << "] % relative variation with respect to original PDF";
00085
00086 if (npairs>0) {
00087 edm::LogVerbatim("PDFAnalysis") << "\tNumber of eigenvectors for uncertainty estimation: " << npairs;
00088 double wplus = 0.;
00089 double wminus = 0.;
00090 unsigned int nplus = 0;
00091 unsigned int nminus = 0;
00092 for (unsigned int j=0; j<npairs; ++j) {
00093 double wa = weightedSelectedEvents_[pdfStart_[i]+2*j+1]/events_central-1.;
00094 double wb = weightedSelectedEvents_[pdfStart_[i]+2*j+2]/events_central-1.;
00095 if (nnpdfFlag) {
00096 if (wa>0.) {
00097 wplus += wa*wa;
00098 nplus++;
00099 } else {
00100 wminus += wa*wa;
00101 nminus++;
00102 }
00103 if (wb>0.) {
00104 wplus += wb*wb;
00105 nplus++;
00106 } else {
00107 wminus += wb*wb;
00108 nminus++;
00109 }
00110 } else {
00111 if (wa>wb) {
00112 if (wa<0.) wa = 0.;
00113 if (wb>0.) wb = 0.;
00114 wplus += wa*wa;
00115 wminus += wb*wb;
00116 } else {
00117 if (wb<0.) wb = 0.;
00118 if (wa>0.) wa = 0.;
00119 wplus += wb*wb;
00120 wminus += wa*wa;
00121 }
00122 }
00123 }
00124 if (wplus>0) wplus = sqrt(wplus);
00125 if (wminus>0) wminus = sqrt(wminus);
00126 if (nnpdfFlag) {
00127 if (nplus>0) wplus /= sqrt(nplus);
00128 if (nminus>0) wminus /= sqrt(nminus);
00129 }
00130 edm::LogVerbatim("PDFAnalysis") << "\tRelative uncertainty with respect to central member: +" << std::setprecision(4) << 100.*wplus << " / -" << std::setprecision(4) << 100.*wminus << " [%]";
00131 } else {
00132 edm::LogVerbatim("PDFAnalysis") << "\tNO eigenvectors for uncertainty estimation";
00133 }
00134 }
00135
00136 edm::LogVerbatim("PDFAnalysis") << "\n>>>>> PDF UNCERTAINTIES ON ACCEPTANCE >>>>>>";
00137 for (unsigned int i=0; i<pdfWeightTags_.size(); ++i) {
00138 bool nnpdfFlag = (pdfWeightTags_[i].instance().substr(0,5)=="NNPDF");
00139 unsigned int nmembers = weightedEvents_.size()-pdfStart_[i];
00140 if (i<pdfWeightTags_.size()-1) nmembers = pdfStart_[i+1] - pdfStart_[i];
00141 unsigned int npairs = (nmembers-1)/2;
00142 edm::LogVerbatim("PDFAnalysis") << "ACCEPTANCE Results for PDF set " << pdfWeightTags_[i].instance() << " ---->";
00143
00144 double acc_central = 0.;
00145 double acc2_central = 0.;
00146 if (weightedEvents_[pdfStart_[i]]>0) {
00147 acc_central = weightedSelectedEvents_[pdfStart_[i]]/weightedEvents_[pdfStart_[i]];
00148 acc2_central = weighted2SelectedEvents_[pdfStart_[i]]/weightedEvents_[pdfStart_[i]];
00149 }
00150 double waverage = weightedEvents_[pdfStart_[i]]/originalEvents_;
00151 edm::LogVerbatim("PDFAnalysis") << "\tEstimate for central PDF member acceptance: [" << acc_central*100 << " +- " <<
00152 100*sqrt((acc2_central/waverage-acc_central*acc_central)/originalEvents_)
00153 << "] %";
00154 double xi = acc_central-originalAcceptance;
00155 double deltaxi = (acc2_central-(originalAcceptance+2*xi+xi*xi))/originalEvents_;
00156 if (deltaxi>0) deltaxi = sqrt(deltaxi);
00157 edm::LogVerbatim("PDFAnalysis") << "\ti.e. [" << std::setprecision(4) << 100*xi/originalAcceptance << " +- " << std::setprecision(4) << 100*deltaxi/originalAcceptance << "] % relative variation with respect to the original PDF";
00158
00159 if (npairs>0) {
00160 edm::LogVerbatim("PDFAnalysis") << "\tNumber of eigenvectors for uncertainty estimation: " << npairs;
00161 double wplus = 0.;
00162 double wminus = 0.;
00163 unsigned int nplus = 0;
00164 unsigned int nminus = 0;
00165 for (unsigned int j=0; j<npairs; ++j) {
00166 double wa = 0.;
00167 if (weightedEvents_[pdfStart_[i]+2*j+1]>0) wa = (weightedSelectedEvents_[pdfStart_[i]+2*j+1]/weightedEvents_[pdfStart_[i]+2*j+1])/acc_central-1.;
00168 double wb = 0.;
00169 if (weightedEvents_[pdfStart_[i]+2*j+2]>0) wb = (weightedSelectedEvents_[pdfStart_[i]+2*j+2]/weightedEvents_[pdfStart_[i]+2*j+2])/acc_central-1.;
00170 if (nnpdfFlag) {
00171 if (wa>0.) {
00172 wplus += wa*wa;
00173 nplus++;
00174 } else {
00175 wminus += wa*wa;
00176 nminus++;
00177 }
00178 if (wb>0.) {
00179 wplus += wb*wb;
00180 nplus++;
00181 } else {
00182 wminus += wb*wb;
00183 nminus++;
00184 }
00185 } else {
00186 if (wa>wb) {
00187 if (wa<0.) wa = 0.;
00188 if (wb>0.) wb = 0.;
00189 wplus += wa*wa;
00190 wminus += wb*wb;
00191 } else {
00192 if (wb<0.) wb = 0.;
00193 if (wa>0.) wa = 0.;
00194 wplus += wb*wb;
00195 wminus += wa*wa;
00196 }
00197 }
00198 }
00199 if (wplus>0) wplus = sqrt(wplus);
00200 if (wminus>0) wminus = sqrt(wminus);
00201 if (nnpdfFlag) {
00202 if (nplus>0) wplus /= sqrt(nplus);
00203 if (nminus>0) wminus /= sqrt(nminus);
00204 }
00205 edm::LogVerbatim("PDFAnalysis") << "\tRelative uncertainty with respect to central member: +" << std::setprecision(4) << 100.*wplus << " / -" << std::setprecision(4) << 100.*wminus << " [%]";
00206 } else {
00207 edm::LogVerbatim("PDFAnalysis") << "\tNO eigenvectors for uncertainty estimation";
00208 }
00209 }
00210 edm::LogVerbatim("PDFAnalysis") << ">>>> End of PDF weight systematics summary >>>>";
00211
00212 }
00213
00215 bool PdfSystematicsAnalyzer::filter(edm::Event & ev, const edm::EventSetup&){
00216
00217 edm::Handle<std::vector<double> > weightHandle;
00218 for (unsigned int i=0; i<pdfWeightTags_.size(); ++i) {
00219 if (!ev.getByLabel(pdfWeightTags_[i], weightHandle)) {
00220 if (originalEvents_==0) {
00221 edm::LogError("PDFAnalysis") << ">>> WARNING: some weights not found!";
00222 edm::LogError("PDFAnalysis") << ">>> But maybe OK, if you are prefiltering!";
00223 edm::LogError("PDFAnalysis") << ">>> If things are OK, this warning should disappear after a while!";
00224 }
00225 return false;
00226 }
00227 }
00228
00229 originalEvents_++;
00230
00231 bool selectedEvent = false;
00232 edm::Handle<edm::TriggerResults> triggerResults;
00233 if (!ev.getByLabel(edm::InputTag("TriggerResults"), triggerResults)) {
00234 edm::LogError("PDFAnalysis") << ">>> TRIGGER collection does not exist !!!";
00235 return false;
00236 }
00237
00238
00239 const edm::TriggerNames & trigNames = ev.triggerNames(*triggerResults);
00240 unsigned int pathIndex = trigNames.triggerIndex(selectorPath_);
00241 bool pathFound = (pathIndex<trigNames.size());
00242 if (pathFound) {
00243 if (triggerResults->accept(pathIndex)) selectedEvent = true;
00244 }
00245
00246
00247 if (selectedEvent) selectedEvents_++;
00248
00249 for (unsigned int i=0; i<pdfWeightTags_.size(); ++i) {
00250 if (!ev.getByLabel(pdfWeightTags_[i], weightHandle)) return false;
00251 std::vector<double> weights = (*weightHandle);
00252 unsigned int nmembers = weights.size();
00253
00254 if (pdfStart_[i]<0) {
00255 pdfStart_[i] = weightedEvents_.size();
00256 for (unsigned int j=0; j<nmembers; ++j) {
00257 weightedEvents_.push_back(0.);
00258 weightedSelectedEvents_.push_back(0.);
00259 weighted2SelectedEvents_.push_back(0.);
00260 }
00261 }
00262
00263 for (unsigned int j=0; j<nmembers; ++j) {
00264 weightedEvents_[pdfStart_[i]+j] += weights[j];
00265 if (selectedEvent) {
00266 weightedSelectedEvents_[pdfStart_[i]+j] += weights[j];
00267 weighted2SelectedEvents_[pdfStart_[i]+j] += weights[j]*weights[j];
00268 }
00269 }
00270
00271
00272
00273
00274
00275
00276
00277
00278
00279
00280
00281 }
00282
00283 return true;
00284 }
00285
00286 DEFINE_FWK_MODULE(PdfSystematicsAnalyzer);