#include <L1TOccupancyClient.h>

Inheritance diagram for L1TOccupancyClient:

Public Member Functions
	L1TOccupancyClient (const edm::ParameterSet &ps)
	Constructor. More...

virtual	~L1TOccupancyClient ()
	Destructor. More...

Public Member Functions inherited from DQMEDHarvester
virtual void	analyze (edm::Event const &, edm::EventSetup const &) final

virtual void	beginLuminosityBlock (edm::LuminosityBlock const &, edm::EventSetup const &) final

virtual void	beginRun (edm::Run const &, edm::EventSetup const &)

	DQMEDHarvester (void)

virtual void	endJob () final

virtual void	endLuminosityBlock (edm::LuminosityBlock const &, edm::EventSetup const &) final

virtual void	endRun (edm::Run const &, edm::EventSetup const &)

Public Member Functions inherited from edm::one::EDAnalyzer< edm::one::WatchRuns, edm::one::WatchLuminosityBlocks, edm::one::SharedResources >
	EDAnalyzer ()=default

Public Member Functions inherited from edm::one::EDAnalyzerBase
void	callWhenNewProductsRegistered (std::function< void(BranchDescription const &)> const &func)

	EDAnalyzerBase ()

ModuleDescription const &	moduleDescription () const

virtual	~EDAnalyzerBase ()

Public Member Functions inherited from edm::EDConsumerBase
std::vector< ConsumesInfo >	consumesInfo () const

	EDConsumerBase ()

ProductHolderIndexAndSkipBit	indexFrom (EDGetToken, BranchType, TypeID const &) const

void	itemsMayGet (BranchType, std::vector< ProductHolderIndexAndSkipBit > &) const

void	itemsToGet (BranchType, std::vector< ProductHolderIndexAndSkipBit > &) const

std::vector < ProductHolderIndexAndSkipBit > const &	itemsToGetFromEvent () const

void	labelsForToken (EDGetToken iToken, Labels &oLabels) const

void	modulesDependentUpon (const std::string &iProcessName, std::vector< const char * > &oModuleLabels) const

void	modulesWhoseProductsAreConsumed (std::vector< ModuleDescription const * > &modules, ProductRegistry const &preg, std::map< std::string, ModuleDescription const * > const &labelsToDesc, std::string const &processName) const

bool	registeredToConsume (ProductHolderIndex, bool, BranchType) const

bool	registeredToConsumeMany (TypeID const &, BranchType) const

void	updateLookup (BranchType iBranchType, ProductHolderIndexHelper const &)

virtual	~EDConsumerBase ()

Protected Member Functions
void	book (DQMStore::IBooker &ibooker, DQMStore::IGetter &igetter)

void	dqmEndJob (DQMStore::IBooker &ibooker, DQMStore::IGetter &igetter) override

void	dqmEndLuminosityBlock (DQMStore::IBooker &ibooker, DQMStore::IGetter &igetter, const edm::LuminosityBlock &lumiSeg, const edm::EventSetup &c)

double	xySymmetry (const edm::ParameterSet &ps, std::string test_name, std::vector< std::pair< int, double > > &deadChannels, std::vector< std::pair< int, double > > &statDev, bool &enoughStats)

Protected Member Functions inherited from edm::EDConsumerBase
template<typename ProductType , BranchType B = InEvent>
EDGetTokenT< ProductType >	consumes (edm::InputTag const &tag)

EDGetToken	consumes (const TypeToGet &id, edm::InputTag const &tag)

template<BranchType B>
EDGetToken	consumes (TypeToGet const &id, edm::InputTag const &tag)

ConsumesCollector	consumesCollector ()
	Use a ConsumesCollector to gather consumes information from helper functions. More...

template<typename ProductType , BranchType B = InEvent>
void	consumesMany ()

void	consumesMany (const TypeToGet &id)

template<BranchType B>
void	consumesMany (const TypeToGet &id)

template<typename ProductType , BranchType B = InEvent>
EDGetTokenT< ProductType >	mayConsume (edm::InputTag const &tag)

EDGetToken	mayConsume (const TypeToGet &id, edm::InputTag const &tag)

template<BranchType B>
EDGetToken	mayConsume (const TypeToGet &id, edm::InputTag const &tag)

Private Member Functions
int	compareWithStrip (TH2F *histo, std::string test, int binStrip, int nBins, int axis, double avg, const 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 (const std::vector< std::pair< int, double > > &deadChannels, TH2F *h2f, const std::vector< std::pair< int, double > > &statDev, std::string test_name)

Private Attributes
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_

Additional Inherited Members
Public Types inherited from edm::one::EDAnalyzerBase
typedef EDAnalyzerBase	ModuleType

Public Types inherited from edm::EDConsumerBase
typedef ProductLabels	Labels

Static Public Member Functions inherited from edm::one::EDAnalyzerBase
static const std::string &	baseType ()

static void	fillDescriptions (ConfigurationDescriptions &descriptions)

static void	prevalidate (ConfigurationDescriptions &descriptions)

Detailed Description

Definition at line 30 of file L1TOccupancyClient.h.

Constructor & Destructor Documentation

L1TOccupancyClient::L1TOccupancyClient ( const edm::ParameterSet & ps )

Constructor.

Definition at line 31 of file L1TOccupancyClient.cc.

References gather_cfg::cout, and edm::ParameterSet::getParameter().

                                                                {
 
   
   // Get parameters
   parameters_ = ps;
   verbose_    = ps.getParameter<bool>                      ("verbose");
   tests_      = ps.getParameter<std::vector<ParameterSet> >("testParams");
 
   if(verbose_){cout << "[L1TOccupancyClient:] Called constructor" << endl;}
 }

L1TOccupancyClient::~L1TOccupancyClient ( )

virtual

Destructor.

Definition at line 46 of file L1TOccupancyClient.cc.

References gather_cfg::cout.

                                        {
   if(verbose_){cout << "[L1TOccupancyClient:] Called destructor" << endl;}
 }

Member Function Documentation

void L1TOccupancyClient::book	(	DQMStore::IBooker &	ibooker,
		DQMStore::IGetter &	igetter
	)

protected

Definition at line 57 of file L1TOccupancyClient.cc.

References DQMStore::IBooker::book1D(), DQMStore::IBooker::book2D(), gather_cfg::cout, edm::ParameterSet::getParameter(), visualization-live-secondInstance_cfg::m, MonitorElement::Reset(), DQMStore::IBooker::setCurrentFolder(), MonitorElement::setTitle(), and indexGen::title.

                                                                                {
 
   hservice_ = new L1TOccupancyClientHistogramService(parameters_,ibooker,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");
   }
   
   ibooker.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(igetter, testName,histPath)){
 
       
       
         // Mask channels specified in python file
         hservice_->setMaskedBins(testName,algoParameters.getParameter<vector<ParameterSet> >("maskedAreas")); 
 
       // Book MonitorElements
       // * Test results
       ibooker.setCurrentFolder("L1T/L1TOccupancy/Results");
       string          title = testName;
       MonitorElement* m     = ibooker.book2D(title.c_str(),hservice_->getDifferentialHistogram(testName));
       m->setTitle(title.c_str()); 
       m->Reset();
       meResults[title] = m; 
 
       // * Which cells are masked as bad
       ibooker.setCurrentFolder("L1T/L1TOccupancy/HistogramDiff");
       title = testName;
       m = ibooker.book2D(title.c_str(),hservice_->getDifferentialHistogram(testName));
       m->Reset();
       m->setTitle(title.c_str());
       meDifferential[title] = m;
       
       // * Fraction of bad cells
       ibooker.setCurrentFolder("L1T/L1TOccupancy/Certification");
       title = testName;
       m = ibooker.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,
		const edm::ParameterSet &	ps,
		std::vector< std::pair< int, double > > &	deadChannels
	)

private

Definition at line 697 of file L1TOccupancyClient.cc.

References funct::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::dqmEndJob	(	DQMStore::IBooker &	ibooker,
		DQMStore::IGetter &	igetter
	)

overrideprotectedvirtual

Implements DQMEDHarvester.

Definition at line 145 of file L1TOccupancyClient.cc.

References newFWLiteAna::bin, gather_cfg::cout, edm::ParameterSet::getParameter(), getTH2F(), edm::ParameterSet::getUntrackedParameter(), i, and run_regression::test.

                                                                                     {
 
   book(ibooker, igetter);
   
   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_;
 
 }

void L1TOccupancyClient::dqmEndLuminosityBlock	(	DQMStore::IBooker &	ibooker,
		DQMStore::IGetter &	igetter,
		const edm::LuminosityBlock &	lumiSeg,
		const edm::EventSetup &	c
	)

protectedvirtual

Reimplemented from DQMEDHarvester.

Definition at line 265 of file L1TOccupancyClient.cc.

References newFWLiteAna::bin, gather_cfg::cout, edm::ParameterSet::getParameter(), getTH2F(), edm::ParameterSet::getUntrackedParameter(), i, edm::LuminosityBlockBase::id(), edm::LuminosityBlockID::luminosityBlock(), and run_regression::test.

                                                                                                                                                            {
 
   book(ibooker, igetter);
   
   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(igetter, 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;}}
   }
 }

double L1TOccupancyClient::getAvrg	(	TH2F *	h2f,
		std::string	test,
		int	axis,
		int	nBins,
		int	binStrip,
		int	avrgMode
	)

private

Definition at line 570 of file L1TOccupancyClient.cc.

References gather_cfg::cout, timingPdfMaker::histo, i, NULL, and makeHLTPrescaleTable::values.

                                                                                                                     {
 
   double avg = 0.0;
   TH1D* proj = NULL;
   TH2F* histo = new TH2F(*iHist);
 
   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 proj;
   delete histo;
   return avg;
 }

void L1TOccupancyClient::getBinCoordinateOnAxisWithValue	(	TH2F *	h2f,
		double	content,
		int &	coord,
		int	axis
	)

private

Definition at line 833 of file L1TOccupancyClient.cc.

References x().

                                                                                                                    {
 
   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	(	const std::vector< std::pair< int, double > > &	deadChannels,
		TH2F *	h2f,
		const std::vector< std::pair< int, double > > &	statDev,
		std::string	test_name
	)

private

Definition at line 645 of file L1TOccupancyClient.cc.

References newFWLiteAna::bin, gather_cfg::cout, and x().

                                                                                                                                                                                   {
 
   // 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	(	const 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 377 of file L1TOccupancyClient.cc.

References gather_cfg::cout, edm::ParameterSet::getParameter(), edm::ParameterSet::getUntrackedParameter(), i, j, relval_steps::k, and Max().

                                                                               {
   
   // 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
     std::unique_ptr<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("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.get())>TMath::Max(statsup,statslow);
     if(verbose_) {
       cout << "stats: " << TMath::MinElement(nActualStrips,maxAvgs.get()) << ", 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
     std::unique_ptr<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("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.get())>TMath::Max(statsup,statslow);
     if(verbose_) {
       cout << "stats: " << TMath::MinElement(nActualStrips,maxAvgs.get()) << ", 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);
 }

Member Data Documentation

TFile* L1TOccupancyClient::file_

private

Definition at line 57 of file L1TOccupancyClient.h.

L1TOccupancyClientHistogramService* L1TOccupancyClient::hservice_

private

Definition at line 56 of file L1TOccupancyClient.h.

std::map<std::string,MonitorElement*> L1TOccupancyClient::meCertification

private

Definition at line 68 of file L1TOccupancyClient.h.

std::map<std::string,MonitorElement*> L1TOccupancyClient::meDifferential

private

Definition at line 67 of file L1TOccupancyClient.h.

std::map<std::string,MonitorElement*> L1TOccupancyClient::meResults

private

Definition at line 66 of file L1TOccupancyClient.h.

std::vector<edm::ParameterSet*> L1TOccupancyClient::mValidTests

private

Definition at line 64 of file L1TOccupancyClient.h.

edm::ParameterSet L1TOccupancyClient::parameters_

private

Definition at line 55 of file L1TOccupancyClient.h.

Referenced by Mixins._TypedParameterizable::clone(), Types.PSet::clone(), and Mixins._TypedParameterizable::copy().

std::vector<edm::ParameterSet> L1TOccupancyClient::tests_

private

Definition at line 63 of file L1TOccupancyClient.h.

bool L1TOccupancyClient::verbose_

private

Definition at line 60 of file L1TOccupancyClient.h.

Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation