#include <L1TOccupancyClient.h>
Public Member Functions | |
L1TOccupancyClient (const edm::ParameterSet &ps) | |
Constructor. | |
virtual | ~L1TOccupancyClient () |
Destructor. | |
Protected Member Functions | |
void | analyze (const edm::Event &e, const edm::EventSetup &c) |
Fake Analyze. | |
void | beginJob (void) |
BeginJob. | |
void | beginLuminosityBlock (const edm::LuminosityBlock &lumiSeg, const edm::EventSetup &context) |
void | beginRun (const edm::Run &r, const edm::EventSetup &c) |
BeginRun. | |
void | endJob () |
void | endLuminosityBlock (const edm::LuminosityBlock &lumiSeg, const edm::EventSetup &c) |
void | endRun (const edm::Run &r, const edm::EventSetup &c) |
double | xySymmetry (edm::ParameterSet ps, std::string test_name, std::vector< std::pair< int, double > > &deadChannels, std::vector< std::pair< int, double > > &statDev, bool &enoughStats) |
Private Member Functions | |
int | compareWithStrip (TH2F *histo, std::string test, int binStrip, int nBins, int axis, double avg, edm::ParameterSet ps, std::vector< std::pair< int, double > > &deadChannels) |
double | getAvrg (TH2F *h2f, std::string test, int axis, int nBins, int binStrip, int avrgMode) |
void | getBinCoordinateOnAxisWithValue (TH2F *h2f, double content, int &coord, int axis) |
void | printDeadChannels (std::vector< std::pair< int, double > > deadChannels, TH2F *h2f, std::vector< std::pair< int, double > > statDev, std::string test_name) |
Private Attributes | |
DQMStore * | dbe_ |
TFile * | file_ |
L1TOccupancyClientHistogramService * | hservice_ |
std::map< std::string, MonitorElement * > | meCertification |
std::map< std::string, MonitorElement * > | meDifferential |
std::map< std::string, MonitorElement * > | meResults |
std::vector< edm::ParameterSet * > | mValidTests |
edm::ParameterSet | parameters_ |
std::vector< edm::ParameterSet > | tests_ |
bool | verbose_ |
Definition at line 29 of file L1TOccupancyClient.h.
L1TOccupancyClient::L1TOccupancyClient | ( | const edm::ParameterSet & | ps | ) |
Constructor.
Definition at line 31 of file L1TOccupancyClient.cc.
References gather_cfg::cout, dbe_, edm::ParameterSet::getParameter(), and cmsCodeRules::cppFunctionSkipper::operator.
{ // Get parameters parameters_ = ps; verbose_ = ps.getParameter<bool> ("verbose"); tests_ = ps.getParameter<std::vector<ParameterSet> >("testParams"); if(verbose_){cout << "[L1TOccupancyClient:] Called constructor" << endl;} // Get back-end interface dbe_ = Service<DQMStore>().operator->(); }
L1TOccupancyClient::~L1TOccupancyClient | ( | ) | [virtual] |
void L1TOccupancyClient::analyze | ( | const edm::Event & | e, |
const edm::EventSetup & | c | ||
) | [protected, virtual] |
void L1TOccupancyClient::beginJob | ( | void | ) | [protected, virtual] |
BeginJob.
Reimplemented from edm::EDAnalyzer.
Definition at line 58 of file L1TOccupancyClient.cc.
References gather_cfg::cout, dbe_, cmsCodeRules::cppFunctionSkipper::operator, DQMStore::rmdir(), and DQMStore::setCurrentFolder().
{ if(verbose_){cout << "[L1TOccupancyClient:] Called BeginJob" << endl;} // get backend interface dbe_ = Service<DQMStore>().operator->(); if (dbe_) { dbe_->setCurrentFolder("L1T/L1TOccupancy"); dbe_->rmdir("L1T/L1TOccupancy"); } }
void L1TOccupancyClient::beginLuminosityBlock | ( | const edm::LuminosityBlock & | lumiSeg, |
const edm::EventSetup & | context | ||
) | [protected, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 286 of file L1TOccupancyClient.cc.
References gather_cfg::cout.
void L1TOccupancyClient::beginRun | ( | const edm::Run & | r, |
const edm::EventSetup & | c | ||
) | [protected, virtual] |
BeginRun.
Reimplemented from edm::EDAnalyzer.
Definition at line 88 of file L1TOccupancyClient.cc.
References DQMStore::book1D(), DQMStore::book2D(), gather_cfg::cout, dbe_, edm::ParameterSet::getParameter(), m, MonitorElement::Reset(), DQMStore::setCurrentFolder(), MonitorElement::setTitle(), and indexGen::title.
{ hservice_ = new L1TOccupancyClientHistogramService(parameters_,dbe_,verbose_); if(verbose_){ cout << "[L1TOccupancyClient:] Called beginRun" << endl; // In verbose mode we will produce an extra output file with several tests file_ = TFile::Open("DQM_L1TOccupancyClient_Snapshots_LS.root","RECREATE"); } dbe_->setCurrentFolder("L1T/L1TOccupancy/"); dbe_->setCurrentFolder("L1T/L1TOccupancy/Results"); dbe_->setCurrentFolder("L1T/L1TOccupancy/BadCellValues"); dbe_->setCurrentFolder("L1T/L1TOccupancy/Certification"); // Loop over all tests in defined for (vector<ParameterSet>::iterator it = tests_.begin(); it != tests_.end(); it++) { // If the test algorithm is XYSymmetry we create the necessary histograms if((*it).getUntrackedParameter<string>("algoName","XYSymmetry")=="XYSymmetry") { // Getting Parameters for the test string testName = (*it).getParameter<string> ("testName"); ParameterSet algoParameters = (*it).getParameter<ParameterSet> ("algoParams"); string histPath = algoParameters.getParameter<string>("histPath"); if(verbose_){ cout << "[L1TOccupancyClient:] Monitored histogram path: " << histPath << endl; // Creating verbose file directory structure // test_name/test_name_Results, // test_name/test_name_Histos // TDirectory *td = file_->mkdir(testName.c_str() ,testName.c_str()); //FIXME: sub never used gcc361 warning //TDirectory *sub = td ->mkdir((testName+"_Results").c_str(),string("_Results").c_str()); //sub = td->mkdir((testName+"_Histos").c_str() ,(testName+"_Histos").c_str()); //sub = td->mkdir((testName+"_Histos_AllLS").c_str(),(testName+"_Histos_AllLS").c_str()); } // Load histograms in service instance if(hservice_->loadHisto(testName,histPath)){ // Mask channels specified in python file hservice_->setMaskedBins(testName,algoParameters.getParameter<vector<ParameterSet> >("maskedAreas")); // Book MonitorElements // * Test results dbe_->setCurrentFolder("L1T/L1TOccupancy/Results"); string title = testName; MonitorElement* m = dbe_->book2D(title.c_str(),hservice_->getDifferentialHistogram(testName)); m->setTitle(title.c_str()); m->Reset(); meResults[title] = m; // * Which cells are masked as bad dbe_->setCurrentFolder("L1T/L1TOccupancy/HistogramDiff"); title = testName; m = dbe_->book2D(title.c_str(),hservice_->getDifferentialHistogram(testName)); m->Reset(); m->setTitle(title.c_str()); meDifferential[title] = m; // * Fraction of bad cells dbe_->setCurrentFolder("L1T/L1TOccupancy/Certification"); title = testName; m = dbe_->book1D(title.c_str(),title.c_str(),2500,-.5,2500.-.5); m->setTitle(title.c_str()); meCertification[title] = m; mValidTests.push_back(&(*it)); } } } }
int L1TOccupancyClient::compareWithStrip | ( | TH2F * | histo, |
std::string | test, | ||
int | binStrip, | ||
int | nBins, | ||
int | axis, | ||
double | avg, | ||
edm::ParameterSet | ps, | ||
std::vector< std::pair< int, double > > & | deadChannels | ||
) | [private] |
Definition at line 727 of file L1TOccupancyClient.cc.
References abs, gather_cfg::cout, alignCSCRings::e, edm::ParameterSet::getUntrackedParameter(), i, and infinity.
{ int dead = 0; // if(iAxis==1) { // Get and set parameters for working curves TF1* fmuup = new TF1("fmuup" ,"TMath::Log(TMath::PoissonI(x,[0])/TMath::PoissonI(x,[1]))",-10000.,10000.); TF1* fmulow = new TF1("fmulow","TMath::Log(TMath::PoissonI(x,[0])/TMath::PoissonI(x,[1]))",-10000.,10000.); fmuup ->SetParameter(0,iAvg*iPS.getUntrackedParameter<double>("factorup",2.0)); fmuup ->SetParameter(1,iAvg); fmulow->SetParameter(0,iAvg*iPS.getUntrackedParameter<double>("factorlow",0.1)); fmulow->SetParameter(1,iAvg); TF1* fchi = new TF1("fchi","[0]*x**2+[1]*x+[2]",0.,1500.); // Evaluate sigma up vector<double> defaultChi2up; defaultChi2up.push_back(5.45058e-05); defaultChi2up.push_back(0.268756); defaultChi2up.push_back(-11.7515); vector<double> params = iPS.getUntrackedParameter< vector<double> >("params_chi2_up",defaultChi2up); for(unsigned int i=0; i<params.size(); i++){fchi->SetParameter(i,params[i]);} double sigma_up = fchi->Eval(iAvg); // Evaluate sigma low vector<double> defaultChi2low; defaultChi2low.push_back(4.11095e-05); defaultChi2low.push_back(0.577451); defaultChi2low.push_back(-10.378); params = iPS.getUntrackedParameter< vector<double> >("params_chi2_low",defaultChi2low); for(unsigned int i=0; i<params.size(); i++){fchi->SetParameter(i,params[i]);} double sigma_low = fchi->Eval(iAvg); if(verbose_){cout << "binstrip= " << iBinStrip << ", sigmaup= " << sigma_up << ", sigmalow= " << sigma_low << endl;} for(int i=1;i<=iNBins;i++) { if(verbose_) { cout << " " << i << " binContent: up:" << fmuup ->Eval(iHist->GetBinContent(iBinStrip,i)) << " low: " << fmulow->Eval(iHist->GetBinContent(iBinStrip,i)) << endl; } // Evaluate chi2 for cells double muup = fmuup ->Eval(iHist->GetBinContent(iBinStrip,i)); double mulow = fmulow->Eval(iHist->GetBinContent(iBinStrip,i)); // If channel is masked -> set it to value -1 if(hservice_->isMasked(iTestName,iBinStrip,i)) { oChannels.push_back(pair<int,double>(iHist->GetBin(iBinStrip,i),-1.0)); } //else perform test else if(muup > sigma_up || mulow > sigma_low || ((fabs(muup) == std::numeric_limits<double>::infinity()) && ( fabs(mulow) == std::numeric_limits<double>::infinity()))) { dead++; oChannels.push_back(pair<int,double>(iHist->GetBin(iBinStrip,i),abs(iHist->GetBinContent(iBinStrip,i)-iAvg)/iAvg)); } } } // else if(iAxis==2){ //get and set parameters for working curves TF1* fmuup = new TF1("fmuup" ,"TMath::Log(TMath::PoissonI(x,[0])/TMath::PoissonI(x,[1]))",-10000.,10000.); TF1* fmulow = new TF1("fmulow","TMath::Log(TMath::PoissonI(x,[0])/TMath::PoissonI(x,[1]))",-10000.,10000.); fmuup ->SetParameter(0,iAvg*iPS.getUntrackedParameter<double>("factorup",2.0)); fmuup ->SetParameter(1,iAvg); fmulow->SetParameter(0,iAvg*iPS.getUntrackedParameter<double>("factorlow",0.1)); fmulow->SetParameter(1,iAvg); TF1* fchi = new TF1("fchi","[0]*x**2+[1]*x+[2]",0.,1500.); // Evaluate sigma up vector<double> defaultChi2up; defaultChi2up.push_back(5.45058e-05); defaultChi2up.push_back(0.268756); defaultChi2up.push_back(-11.7515); vector<double> params = iPS.getUntrackedParameter<vector<double> >("params_chi2_up",defaultChi2up); for(unsigned int i=0;i<params.size();i++){fchi->SetParameter(i,params[i]);} double sigma_up = fchi->Eval(iAvg); // Evaluate sigma low vector<double> defaultChi2low; defaultChi2low.push_back(4.11095e-05); defaultChi2low.push_back(0.577451); defaultChi2low.push_back(-10.378); params = iPS.getUntrackedParameter<vector<double> >("params_chi2_low",defaultChi2low); for(unsigned int i=0;i<params.size();i++){fchi->SetParameter(i,params[i]);} double sigma_low = fchi->Eval(iAvg); if(verbose_) {cout << "binstrip= " << iBinStrip << ", sigmaup= " << sigma_up << ", sigmalow= " << sigma_low << endl;} for(int i=1;i<=iNBins;i++) { if(verbose_) { cout << " " << i << " binContent: up:" << fmuup ->Eval(iHist->GetBinContent(i,iBinStrip)) << " low: " << fmulow->Eval(iHist->GetBinContent(i,iBinStrip)) << endl; } //evaluate chi2 for cells double muup = fmuup ->Eval(iHist->GetBinContent(i,iBinStrip)); double mulow = fmulow->Eval(iHist->GetBinContent(i,iBinStrip)); //if channel is masked -> set it to value -1 if(hservice_->isMasked(iTestName,i,iBinStrip)) { oChannels.push_back(pair<int,double>(iHist->GetBin(iBinStrip,i),-1.0)); } //else perform test else if(muup > sigma_up || mulow > sigma_low || ((fabs(muup) == std::numeric_limits<double>::infinity()) && (fabs(mulow) == std::numeric_limits<double>::infinity()))) { dead++; oChannels.push_back(pair<int,double>(iHist->GetBin(i,iBinStrip),abs(iHist->GetBinContent(i,iBinStrip)-iAvg)/iAvg)); } } } else {if(verbose_) {cout << "invalid axis" << endl;}} return dead; }
void L1TOccupancyClient::endJob | ( | void | ) | [protected, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 75 of file L1TOccupancyClient.cc.
References gather_cfg::cout.
void L1TOccupancyClient::endLuminosityBlock | ( | const edm::LuminosityBlock & | lumiSeg, |
const edm::EventSetup & | c | ||
) | [protected, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 297 of file L1TOccupancyClient.cc.
References newFWLiteAna::bin, gather_cfg::cout, edm::ParameterSet::getParameter(), getTH2F(), edm::ParameterSet::getUntrackedParameter(), i, edm::LuminosityBlockBase::id(), and edm::LuminosityBlockID::luminosityBlock().
{ int eventLS = lumiSeg.id().luminosityBlock(); if(verbose_) { cout << "[L1TOccupancyClient:] Called endLuminosityBlock()" << endl; cout << "[L1TOccupancyClient:] Lumisection: " << eventLS << endl; } // Loop over every test in python for (std::vector<ParameterSet*>::const_iterator it = mValidTests.begin(); it != mValidTests.end(); it++) { ParameterSet &test = (**it); string algo_name = test.getUntrackedParameter<string>("algoName","XYSymmetry"); string test_name = test.getParameter <string>("testName"); if(verbose_) {cout << "[L1TOccupancyClient:] Starting calculations for " << algo_name << " on:" << test_name << endl;} if(algo_name == "XYSymmetry") { ParameterSet ps = (**it).getParameter<ParameterSet>("algoParams"); string histPath = ps.getParameter<string>("histPath"); vector<pair<int,double> > deadChannels; vector<pair<int,double> > statDev; bool enoughStats = false; // Update histo's data with data of this LS hservice_->updateHistogramEndLS(test_name,histPath,eventLS); // Perform the test double dead = xySymmetry(ps,test_name,deadChannels,statDev,enoughStats); stringstream str; str << test_name << "_cumu_LS_" << eventLS; if(verbose_) { TH2F* cumulative_save = (TH2F*) hservice_->getDifferentialHistogram(test_name)->Clone(str.str().c_str()); cumulative_save->SetTitle(str.str().c_str()); TDirectory* td = file_->GetDirectory(test_name.c_str()); td->cd(string(test_name+"_Histos_AllLS").c_str()); cumulative_save->Write(); } // If we have enough statistics, we can write test result if(enoughStats) { // Make the result histogram printDeadChannels(deadChannels,meResults[test_name]->getTH2F(),statDev,test_name); if(verbose_) { TH2F* cumulative_save = (TH2F*) hservice_->getDifferentialHistogram(test_name)->Clone(str.str().c_str()); cumulative_save->SetTitle(str.str().c_str()); TDirectory* td = file_->GetDirectory(("DQM_L1TOccupancyClient_Snapshots_LS.root:/"+test_name).c_str()); td->cd(string(test_name+"_Histos").c_str()); cumulative_save->Write(); // save the result histo TH2F* h2f = meResults[test_name]->getTH2F(); stringstream str2; str2 << test_name << "_result_LS_" << eventLS; TH2F* dead_save = (TH2F*) h2f->Clone(str2.str().c_str()); td->cd(string(test_name+"_Results").c_str()); dead_save->SetTitle(str2.str().c_str()); dead_save->Write(); } // Updating test results meDifferential[test_name]->Reset(); meDifferential[test_name]->getTH2F()->Add(hservice_->getDifferentialHistogram(test_name)); vector<int> lsCertification = hservice_->getLSCertification(test_name); // Fill fraction of dead channels for(unsigned int i=0;i<lsCertification.size();i++){ int bin = meCertification[test_name]->getTH1()->FindBin(lsCertification[i]); meCertification[test_name]->getTH1()->SetBinContent(bin,1-dead); } // Reset differential histo hservice_->resetHisto(test_name); if(verbose_) {cout << "Now we have enough statstics for " << test_name << endl;} }else{if(verbose_){cout << "we don't have enough statstics for " << test_name << endl;}} }else {if(verbose_){cout << "No valid algorithm" << std::endl;}} } }
void L1TOccupancyClient::endRun | ( | const edm::Run & | r, |
const edm::EventSetup & | c | ||
) | [protected, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 176 of file L1TOccupancyClient.cc.
References newFWLiteAna::bin, gather_cfg::cout, edm::ParameterSet::getParameter(), getTH2F(), edm::ParameterSet::getUntrackedParameter(), and i.
{ if(verbose_){cout << "[L1TOccupancyClient:] Called endRun()" << endl;} // Loop over every test in python for (std::vector<ParameterSet*>::iterator it = mValidTests.begin(); it != mValidTests.end(); it++) { ParameterSet &test = (**it); string algo_name = test.getUntrackedParameter<string>("algoName","XYSymmetry"); string test_name = test.getParameter <string>("testName"); if(verbose_) {cout << "[L1TOccupancyClient:] Starting calculations for: " << algo_name << " on: " << test_name << endl;} if(algo_name == "XYSymmetry") { ParameterSet ps = (**it).getParameter<ParameterSet>("algoParams"); string histPath = ps.getParameter<string>("histPath"); vector<pair<int,double> > deadChannels; vector<pair<int,double> > statDev; bool enoughStats = false; // Make final block hservice_->updateHistogramEndRun(test_name); // Perform the test double dead = xySymmetry(ps,test_name,deadChannels,statDev,enoughStats); stringstream str; str << test_name << "_cumu_LS_EndRun"; if(verbose_) { TH2F* cumulative_save = (TH2F*) hservice_->getDifferentialHistogram(test_name)->Clone(str.str().c_str()); cumulative_save->SetTitle(str.str().c_str()); TDirectory* td = file_->GetDirectory(test_name.c_str()); td->cd(string(test_name+"_Histos_AllLS").c_str()); cumulative_save->Write(); } // If we have enough statistics, we can write test result if(enoughStats) { // Make the result histogram printDeadChannels(deadChannels,meResults[test_name]->getTH2F(),statDev,test_name); if(verbose_) { TH2F* cumulative_save = (TH2F*) hservice_->getDifferentialHistogram(test_name)->Clone(str.str().c_str()); cumulative_save->SetTitle(str.str().c_str()); TDirectory* td = file_->GetDirectory(("DQM_L1TOccupancyClient_Snapshots_LS.root:/"+test_name).c_str()); td->cd(string(test_name+"_Histos").c_str()); cumulative_save->Write(); // save the result histo TH2F* h2f = meResults[test_name]->getTH2F(); stringstream str2; str2 << test_name << "_result_LS_EndRun"; TH2F* dead_save = (TH2F*) h2f->Clone(str2.str().c_str()); td->cd(string(test_name+"_Results").c_str()); dead_save->SetTitle(str2.str().c_str()); dead_save->Write(); } // Updating test results meDifferential[test_name]->Reset(); meDifferential[test_name]->getTH2F()->Add(hservice_->getDifferentialHistogram(test_name)); vector<int> lsCertification = hservice_->getLSCertification(test_name); // Fill fraction of dead channels for(unsigned int i=0;i<lsCertification.size();i++){ int bin = meCertification[test_name]->getTH1()->FindBin(lsCertification[i]); meCertification[test_name]->getTH1()->SetBinContent(bin,1-dead); } // Reset differential histo hservice_->resetHisto(test_name); if(verbose_) {cout << "Now we have enough statstics for " << test_name << endl;} }else{ if(verbose_){cout << "we don't have enough statstics for " << test_name << endl;} // Getting LS which this test monitored vector<int> lsCertification = hservice_->getLSCertification(test_name); // Fill fraction of dead channels for(unsigned int i=0;i<lsCertification.size();i++){ int bin = meCertification[test_name]->getTH1()->FindBin(lsCertification[i]); meCertification[test_name]->getTH1()->SetBinContent(bin,-1); } } }else {if(verbose_){cout << "No valid algorithm" << std::endl;}} } if(verbose_){file_->Close();} delete hservice_; }
double L1TOccupancyClient::getAvrg | ( | TH2F * | h2f, |
std::string | test, | ||
int | axis, | ||
int | nBins, | ||
int | binStrip, | ||
int | avrgMode | ||
) | [private] |
Definition at line 600 of file L1TOccupancyClient.cc.
References gather_cfg::cout, timingPdfMaker::histo, i, NULL, trackerHitRTTI::proj, and makeHLTPrescaleTable::values.
{ double avg = 0.0; TH1D* proj = NULL; TH2F* histo = (TH2F*) iHist->Clone(); std::vector<double> values; int marked; if(iAxis==1) { switch(iAvgMode) { // arithmetic average case 1: marked = hservice_->maskBins(iTestName,histo,iBinStrip,iAxis); proj = histo->ProjectionX(); avg = proj->GetBinContent(iBinStrip)/(iNBins-marked); break; // median case 2: marked = hservice_->maskBins(iTestName,histo,iBinStrip,iAxis); proj = histo->ProjectionY("_py",iBinStrip,iBinStrip); for(int i=0;i<iNBins;i++) { values.push_back(proj->GetBinContent(i+1)); } avg = TMath::Median(iNBins,&values[0]); break; default: if(verbose_){cout << "Invalid averaging mode!" << endl;} break; } } else if(iAxis==2) { switch(iAvgMode) { // arithmetic average case 1: marked = hservice_->maskBins(iTestName,histo,iBinStrip,iAxis); proj = histo->ProjectionY(); avg = proj->GetBinContent(iBinStrip)/(iNBins-marked); break; // median case 2: marked = hservice_->maskBins(iTestName,histo,iBinStrip,iAxis); proj = histo->ProjectionX("_px",iBinStrip,iBinStrip); for(int i=0;i<iNBins;i++) { values.push_back(proj->GetBinContent(i+1)); } avg = TMath::Median(iNBins,&values[0]); break; default: if(verbose_) { cout << "invalid averaging mode!" << endl;} break; } } else { if(verbose_) {cout << "invalid axis" << endl;} } delete histo; delete proj; return avg; }
void L1TOccupancyClient::getBinCoordinateOnAxisWithValue | ( | TH2F * | h2f, |
double | content, | ||
int & | coord, | ||
int | axis | ||
) | [private] |
Definition at line 863 of file L1TOccupancyClient.cc.
References x, detailsBasic3DVector::y, and z.
{ int nBinsX = iHist->GetNbinsX(); //actual number of bins x int nBinsY = iHist->GetNbinsY(); //actual number of bins y if(iAxis==1){ int global = iHist->GetXaxis()->FindFixBin(iValue); // If parameter exceeds axis' value: set to maximum number of bins in x-axis if(global > nBinsX*nBinsY) {global = iHist->GetXaxis()->GetLast();} // Get coordinates of bin int y,z; iHist->GetBinXYZ(global,oBinCoordinate,y,z); } else if(iAxis==2){ int global = iHist->GetYaxis()->FindFixBin(iValue); // If parameter exceeds axis' value: set to maximum number of bins in x-axis if(global > nBinsX*nBinsY) {global = iHist->GetYaxis()->GetLast();} // Get coordinates of bin int x,z; iHist->GetBinXYZ(global,x,oBinCoordinate,z); } }
void L1TOccupancyClient::printDeadChannels | ( | std::vector< std::pair< int, double > > | deadChannels, |
TH2F * | h2f, | ||
std::vector< std::pair< int, double > > | statDev, | ||
std::string | test_name | ||
) | [private] |
Definition at line 675 of file L1TOccupancyClient.cc.
References newFWLiteAna::bin, gather_cfg::cout, x, detailsBasic3DVector::y, and z.
{ // Reset the dead channels histogram oHistDeadChannels->Reset(); if(verbose_) {cout << "suspect or masked channels of " << iTestName << ": ";} int x,y,z; float chi2 = 0.0; // put all bad (value=1) and masked (value=-1) cells in histo for (std::vector<pair<int,double> >::const_iterator it = iDeadChannels.begin(); it != iDeadChannels.end(); it++) { int bin = (*it).first; oHistDeadChannels->GetBinXYZ(bin,x,y,z); if(hservice_->isMasked(iTestName,x,y)){ oHistDeadChannels->SetBinContent(bin,-1); if(verbose_){printf("(%4i,%4i) Masked\n",x,y);} } else{ oHistDeadChannels->SetBinContent(bin, 1); if(verbose_){printf("(%4i,%4i) Failed test\n",x,y);} } } // FIXME: Is this needed? for (std::vector<pair<int,double> >::const_iterator it = statDev.begin(); it != statDev.end(); it++) { double dev = (*it).second; chi2 += dev; } //put total chi2 in float if(verbose_) { cout << "total number of suspect channels: " << (iDeadChannels.size()-(hservice_->getNBinsMasked(iTestName))) << endl; } }
double L1TOccupancyClient::xySymmetry | ( | edm::ParameterSet | ps, |
std::string | test_name, | ||
std::vector< std::pair< int, double > > & | deadChannels, | ||
std::vector< std::pair< int, double > > & | statDev, | ||
bool & | enoughStats | ||
) | [protected] |
Definition at line 408 of file L1TOccupancyClient.cc.
References gather_cfg::cout, edm::ParameterSet::getParameter(), edm::ParameterSet::getUntrackedParameter(), i, j, gen::k, siStripFEDMonitor_P5_cff::Max, and tests::test_DownloadDQM::tf.
{ // Getting differential histogram for this this thes TH2F* diffHist = hservice_->getDifferentialHistogram(iTestName); int pAxis = ps.getUntrackedParameter<int> ("axis",1); int pAverageMode = ps.getUntrackedParameter<int> ("averageMode",2); // 1=arith. mean, 2=median int nBinsX = diffHist->GetNbinsX(); // actual number of bins x int nBinsY = diffHist->GetNbinsY(); // actual number of bins y // Axis==1 : Means symmetry axis is vertical if(pAxis==1){ int maxBinStrip, centralBinStrip; // x-coordinate of strips maxBinStrip = nBinsX; // If takeCenter=true determine central bin of the pAxis // If takeCenter=false determine the bin to use based user input if(ps.getUntrackedParameter<bool>("takeCenter",true)){centralBinStrip = nBinsX / 2 + 1;} else { double pAxisSymmetryValue = ps.getParameter <double>("axisSymmetryValue"); getBinCoordinateOnAxisWithValue(diffHist, pAxisSymmetryValue, centralBinStrip, 1); } // Assuming odd number of strips --> first comparison is middle strip to itself int upBinStrip = centralBinStrip; int lowBinStrip = centralBinStrip; // If even number decrease lowBinstrip by one if(nBinsX%2==0){lowBinStrip--;} // Do we have enough statistics? Min(Max(strip_i,strip_j))>threshold double* maxAvgs = new double[maxBinStrip-upBinStrip+1]; int nActualStrips=0; //number of strips that are not fully masked for(int i=0, j=upBinStrip, k=lowBinStrip;j<=maxBinStrip;i++,j++,k--) { double avg1 = getAvrg(diffHist,iTestName,pAxis,nBinsY,j,pAverageMode); double avg2 = getAvrg(diffHist,iTestName,pAxis,nBinsY,k,pAverageMode); // Protection for when both strips are masked if(!hservice_->isStripMasked(iTestName,j,pAxis) && !hservice_->isStripMasked(iTestName,k,pAxis)) { maxAvgs[i] = TMath::Max(avg1,avg2); nActualStrips++; } } vector<double> defaultMu0up; defaultMu0up.push_back(13.7655); defaultMu0up.push_back(184.742); defaultMu0up.push_back(50735.3); defaultMu0up.push_back(-97.6793); TF1* tf = new TF1("myFunc","[0]*(TMath::Log(x*[1]+[2]))+[3]",10.,11000.); vector<double> params = ps.getUntrackedParameter< vector<double> >("params_mu0_up",defaultMu0up); for(unsigned int i=0;i<params.size();i++) {tf->SetParameter(i,params[i]);} int statsup = (int)tf->Eval(hservice_->getNBinsHistogram(iTestName)); vector<double> defaultMu0low; defaultMu0low.push_back(2.19664); defaultMu0low.push_back(1.94546); defaultMu0low.push_back(-99.3263); defaultMu0low.push_back(19.388); params = ps.getUntrackedParameter<vector<double> >("params_mu0_low",defaultMu0low); for(unsigned int i=0;i<params.size();i++) {tf->SetParameter(i,params[i]);} int statslow = (int)tf->Eval(hservice_->getNBinsHistogram(iTestName)); if(verbose_) { cout << "nbins: " << hservice_->getNBinsHistogram(iTestName) << endl; cout << "statsup= " << statsup << ", statslow= " << statslow << endl; } enoughStats = TMath::MinElement(nActualStrips,maxAvgs)>TMath::Max(statsup,statslow); if(verbose_) { cout << "stats: " << TMath::MinElement(nActualStrips,maxAvgs) << ", statsAvg: " << diffHist->GetEntries()/hservice_->getNBinsHistogram(iTestName) << ", threshold: " << TMath::Max(statsup,statslow) << endl; } //if enough statistics //make the test if(enoughStats) { for(;upBinStrip<=maxBinStrip;upBinStrip++,lowBinStrip--) { double avg = getAvrg(diffHist, iTestName, pAxis, nBinsY, upBinStrip, pAverageMode); compareWithStrip(diffHist,iTestName,lowBinStrip,nBinsY,pAxis,avg,ps,deadChannels); //compare with lower side avg = getAvrg(diffHist, iTestName, pAxis, nBinsY, lowBinStrip, pAverageMode); compareWithStrip(diffHist,iTestName,upBinStrip,nBinsY,pAxis,avg,ps,deadChannels); //compare with upper side } } } // pAxis==2 : Means symetry pAxis is horizontal else if(pAxis==2) { int maxBinStrip, centralBinStrip; //x-coordinate of strips maxBinStrip = nBinsY; // Determine center of diagram: either with set pAxis or middle of diagram if(ps.getUntrackedParameter<bool>("takeCenter",true)){centralBinStrip = nBinsY / 2 + 1;} else { double pAxisSymmetryValue = ps.getParameter<double>("axisSymmetryValue"); getBinCoordinateOnAxisWithValue(diffHist, pAxisSymmetryValue, centralBinStrip, 2); } //assuming odd number of strips --> first comparison is middle strip to itself int lowBinStrip = centralBinStrip, upBinStrip = centralBinStrip; //if even number if(nBinsX%2==0) { //decrease lowBinstrip by one lowBinStrip--; } //do we have enough statistics? Min(Max(strip_i,strip_j))>threshold double* maxAvgs = new double[maxBinStrip-upBinStrip+1]; int nActualStrips = 0; for(int i=0, j=upBinStrip, k=lowBinStrip;j<=maxBinStrip;i++,j++,k--) { double avg1 = getAvrg(diffHist, iTestName, pAxis, nBinsX, j, pAverageMode); double avg2 = getAvrg(diffHist, iTestName, pAxis, nBinsX, k, pAverageMode); if(!hservice_->isStripMasked(iTestName,j,pAxis) && !hservice_->isStripMasked(iTestName,k,pAxis)) { maxAvgs[i] = TMath::Max(avg1,avg2); nActualStrips++; } } vector<double> defaultMu0up; defaultMu0up.push_back(13.7655); defaultMu0up.push_back(184.742); defaultMu0up.push_back(50735.3); defaultMu0up.push_back(-97.6793); vector<double> params = ps.getUntrackedParameter<std::vector<double> >("params_mu0_up",defaultMu0up); TF1* tf = new TF1("myFunc","[0]*(TMath::Log(x*[1]+[2]))+[3]",10.,11000.); for(unsigned int i=0;i<params.size();i++) { tf->SetParameter(i,params[i]); } int statsup = (int)tf->Eval(hservice_->getNBinsHistogram(iTestName)); vector<double> defaultMu0low; defaultMu0low.push_back(2.19664); defaultMu0low.push_back(1.94546); defaultMu0low.push_back(-99.3263); defaultMu0low.push_back(19.388); params = ps.getUntrackedParameter<std::vector<double> >("params_mu0_low",defaultMu0low); for(unsigned int i=0;i<params.size();i++) { tf->SetParameter(i,params[i]); } int statslow = (int)tf->Eval(hservice_->getNBinsHistogram(iTestName)); if(verbose_) { cout << "statsup= " << statsup << ", statslow= " << statslow << endl; } enoughStats = TMath::MinElement(nActualStrips,maxAvgs)>TMath::Max(statsup,statslow); if(verbose_) { cout << "stats: " << TMath::MinElement(nActualStrips,maxAvgs) << ", statsAvg: " << diffHist->GetEntries()/hservice_->getNBinsHistogram(iTestName) << ", threshold: " << TMath::Max(statsup,statslow) << endl; } //if we have enough statistics //make the test if(enoughStats) { for(;upBinStrip<=maxBinStrip;upBinStrip++,lowBinStrip--) { double avg = getAvrg(diffHist, iTestName, pAxis, nBinsX, upBinStrip, pAverageMode); compareWithStrip(diffHist,iTestName, lowBinStrip,nBinsX,pAxis,avg,ps,deadChannels); //compare with lower side avg = getAvrg(diffHist, iTestName, pAxis, nBinsX, lowBinStrip, pAverageMode); compareWithStrip(diffHist,iTestName, upBinStrip,nBinsX,pAxis,avg,ps,deadChannels); //compare with upper side } } } else {if(verbose_){cout << "Invalid axis" << endl;}} return (deadChannels.size()-hservice_->getNBinsMasked(iTestName))*1.0/hservice_->getNBinsHistogram(iTestName); }
DQMStore* L1TOccupancyClient::dbe_ [private] |
Definition at line 65 of file L1TOccupancyClient.h.
TFile* L1TOccupancyClient::file_ [private] |
Definition at line 67 of file L1TOccupancyClient.h.
Definition at line 66 of file L1TOccupancyClient.h.
std::map<std::string,MonitorElement*> L1TOccupancyClient::meCertification [private] |
Definition at line 78 of file L1TOccupancyClient.h.
std::map<std::string,MonitorElement*> L1TOccupancyClient::meDifferential [private] |
Definition at line 77 of file L1TOccupancyClient.h.
std::map<std::string,MonitorElement*> L1TOccupancyClient::meResults [private] |
Definition at line 76 of file L1TOccupancyClient.h.
std::vector<edm::ParameterSet*> L1TOccupancyClient::mValidTests [private] |
Definition at line 74 of file L1TOccupancyClient.h.
Definition at line 64 of file L1TOccupancyClient.h.
std::vector<edm::ParameterSet> L1TOccupancyClient::tests_ [private] |
Definition at line 73 of file L1TOccupancyClient.h.
bool L1TOccupancyClient::verbose_ [private] |
Definition at line 70 of file L1TOccupancyClient.h.