DTOccupancyClusterBuilder Class Reference

#include <DTOccupancyClusterBuilder.h>

Public Member Functions
void	addPoint (const DTOccupancyPoint &point)
	Add an occupancy point for a given layer. More...
void	buildClusters ()
	build the clusters More...
void	drawClusters (std::string canvasName)
	draw a TH2F histograms showing the clusters More...
	DTOccupancyClusterBuilder ()
	Constructor. More...
DTOccupancyCluster	getBestCluster () const
	get the cluster correspondig to "normal" cell occupancy. More...
bool	isProblematic (DTLayerId layerId) const
virtual	~DTOccupancyClusterBuilder ()
	Destructor. More...

Private Member Functions
bool	buildNewCluster ()
void	computeDistancesToCluster (const DTOccupancyCluster &cluster)
void	computePointToPointDistances ()
std::pair< DTOccupancyPoint, DTOccupancyPoint >	getInitialPair ()
void	sortClusters ()

Private Attributes
double	maxMean
double	maxRMS
std::vector< DTOccupancyCluster >	theClusters
std::map< double, std::pair< DTOccupancyPoint, DTOccupancyPoint > >	theDistances
std::map< double, DTOccupancyPoint >	theDistancesFromTheCluster
std::set< DTOccupancyPoint >	thePoints
std::set< DTLayerId >	theProblematicLayers

Detailed Description

Build clusters of layer occupancies (DTOccupancyCluster) to spot problematic layers. It's used by DTOccupancyTest.

Author

G. Cerminara - INFN Torino

Definition at line 19 of file DTOccupancyClusterBuilder.h.

Constructor & Destructor Documentation

DTOccupancyClusterBuilder()

DTOccupancyClusterBuilder::DTOccupancyClusterBuilder

(

)

Constructor.

Definition at line 21 of file DTOccupancyClusterBuilder.cc.

: maxMean(-1.), maxRMS(-1.) {}

~DTOccupancyClusterBuilder()

DTOccupancyClusterBuilder::~DTOccupancyClusterBuilder ( )

virtual

Destructor.

Definition at line 23 of file DTOccupancyClusterBuilder.cc.

{}

Member Function Documentation

addPoint()

void DTOccupancyClusterBuilder::addPoint

(

const DTOccupancyPoint &

point

)

Add an occupancy point for a given layer.

Definition at line 25 of file DTOccupancyClusterBuilder.cc.

References point, DiDispStaMuonMonitor_cfi::pt, theDistances, and thePoints.

                                                                      {
  // loop over points already stored
  for (set<DTOccupancyPoint>::const_iterator pt = thePoints.begin(); pt != thePoints.end(); ++pt) {
    theDistances[(*pt).distance(point)] = make_pair(*pt, point);
  }
  thePoints.insert(point);
}

buildClusters()

void DTOccupancyClusterBuilder::buildClusters

(

)

build the clusters

Definition at line 33 of file DTOccupancyClusterBuilder.cc.

References buildNewCluster(), LogTrace, DTOccupancyCluster::maxMean(), maxMean, DTOccupancyCluster::maxRMS(), maxRMS, DiDispStaMuonMonitor_cfi::pt, sortClusters(), theClusters, and thePoints.

                                              {
  while (buildNewCluster()) {
    if (thePoints.size() <= 1)
      break;
  }

  // build single point clusters with the remaining points
  for (set<DTOccupancyPoint>::const_iterator pt = thePoints.begin(); pt != thePoints.end(); ++pt) {
    DTOccupancyCluster clusterCandidate(*pt);
    theClusters.push_back(clusterCandidate);
    // store the range for building the histograms later
    if (clusterCandidate.maxMean() > maxMean)
      maxMean = clusterCandidate.maxMean();
    if (clusterCandidate.maxRMS() > maxRMS)
      maxRMS = clusterCandidate.maxRMS();
  }
  LogTrace("DTDQM|DTMonitorClient|DTOccupancyTest|DTOccupancyClusterBuilder")
      << " # of valid clusters: " << theClusters.size() << endl;
  sortClusters();
}

buildNewCluster()

bool DTOccupancyClusterBuilder::buildNewCluster ( )

private

Definition at line 103 of file DTOccupancyClusterBuilder.cc.

References DTOccupancyCluster::addPoint(), DTOccupancyCluster::averageMean(), DTOccupancyCluster::averageRMS(), computeDistancesToCluster(), computePointToPointDistances(), getInitialPair(), DTOccupancyCluster::isValid(), LogTrace, DTOccupancyCluster::maxMean(), maxMean, DTOccupancyCluster::maxRMS(), maxRMS, DTOccupancyCluster::nPoints(), theClusters, theDistancesFromTheCluster, and thePoints.

Referenced by buildClusters().

                                                {
  LogTrace("DTDQM|DTMonitorClient|DTOccupancyTest|DTOccupancyClusterBuilder")
      << "--------- New Cluster Candidate ----------------------" << endl;
  pair<DTOccupancyPoint, DTOccupancyPoint> initialPair = getInitialPair();
  LogTrace("DTDQM|DTMonitorClient|DTOccupancyTest|DTOccupancyClusterBuilder")
      << "   Initial Pair: " << endl
      << "           point1: mean " << initialPair.first.mean() << " rms " << initialPair.first.rms() << endl
      << "           point2: mean " << initialPair.second.mean() << " rms " << initialPair.second.rms() << endl;
  DTOccupancyCluster clusterCandidate(initialPair.first, initialPair.second);
  if (clusterCandidate.isValid()) {
    // remove already used pair
    thePoints.erase(initialPair.first);
    thePoints.erase(initialPair.second);
    if (!thePoints.empty()) {
      computeDistancesToCluster(clusterCandidate);
      while (clusterCandidate.addPoint(theDistancesFromTheCluster.begin()->second)) {
        thePoints.erase(theDistancesFromTheCluster.begin()->second);
        if (thePoints.empty())
          break;
        computeDistancesToCluster(clusterCandidate);
      }
    }
  } else {
    return false;
  }
  LogTrace("DTDQM|DTMonitorClient|DTOccupancyTest|DTOccupancyClusterBuilder")
      << "   # of layers: " << clusterCandidate.nPoints() << " avrg. mean: " << clusterCandidate.averageMean()
      << " avrg. rms: " << clusterCandidate.averageRMS() << endl;
  theClusters.push_back(clusterCandidate);
  // store the range for building the histograms later
  if (clusterCandidate.maxMean() > maxMean)
    maxMean = clusterCandidate.maxMean();
  if (clusterCandidate.maxRMS() > maxRMS)
    maxRMS = clusterCandidate.maxRMS();
  computePointToPointDistances();
  return true;
}

computeDistancesToCluster()

void DTOccupancyClusterBuilder::computeDistancesToCluster ( const DTOccupancyCluster &  cluster )

private

Definition at line 96 of file DTOccupancyClusterBuilder.cc.

References DTOccupancyCluster::distance(), DiDispStaMuonMonitor_cfi::pt, theDistancesFromTheCluster, and thePoints.

Referenced by buildNewCluster().

                                                                                           {
  theDistancesFromTheCluster.clear();
  for (set<DTOccupancyPoint>::const_iterator pt = thePoints.begin(); pt != thePoints.end(); ++pt) {
    theDistancesFromTheCluster[cluster.distance(*pt)] = *pt;
  }
}

computePointToPointDistances()

void DTOccupancyClusterBuilder::computePointToPointDistances ( )

private

Definition at line 85 of file DTOccupancyClusterBuilder.cc.

References theDistances, and thePoints.

Referenced by buildNewCluster().

                                                             {
  theDistances.clear();
  for (set<DTOccupancyPoint>::const_iterator pt_i = thePoints.begin(); pt_i != thePoints.end(); ++pt_i) {    // i loopo
    for (set<DTOccupancyPoint>::const_iterator pt_j = thePoints.begin(); pt_j != thePoints.end(); ++pt_j) {  // j loop
      if (*pt_i != *pt_j) {
        theDistances[pt_i->distance(*pt_j)] = make_pair(*pt_i, *pt_j);
      }
    }
  }
}

drawClusters()

void DTOccupancyClusterBuilder::drawClusters

(

std::string

canvasName

)

draw a TH2F histograms showing the clusters

Definition at line 54 of file DTOccupancyClusterBuilder.cc.

References svgfig::canvas(), timingPdfMaker::histo, HltBtagPostValidation_cff::histoName, maxMean, maxRMS, cms::cuda::stream, and theClusters.

                                                                 {
  int nBinsX = 100;
  int nBinsY = 100;
  int colorMap[12] = {632, 600, 800, 400, 820, 416, 432, 880, 616, 860, 900, 920};

  TCanvas* canvas = new TCanvas(canvasName.c_str(), canvasName.c_str());
  canvas->cd();
  for (vector<DTOccupancyCluster>::const_iterator cluster = theClusters.begin(); cluster != theClusters.end();
       ++cluster) {
    stringstream stream;
    stream << canvasName << "_" << cluster - theClusters.begin();
    string histoName = stream.str();
    TH2F* histo = (*cluster).getHisto(histoName,
                                      nBinsX,
                                      0,
                                      maxMean + 3 * maxMean / 100.,
                                      nBinsY,
                                      0,
                                      maxRMS + 3 * maxRMS / 100.,
                                      colorMap[cluster - theClusters.begin()]);
    if (cluster == theClusters.begin())
      histo->Draw("box");
    else
      histo->Draw("box,same");
  }
}

getBestCluster()

DTOccupancyCluster DTOccupancyClusterBuilder::getBestCluster

(

)

const

get the cluster correspondig to "normal" cell occupancy.

Definition at line 156 of file DTOccupancyClusterBuilder.cc.

References theClusters.

{ return theClusters.front(); }

getInitialPair()

std::pair< DTOccupancyPoint, DTOccupancyPoint > DTOccupancyClusterBuilder::getInitialPair ( )

private

Definition at line 81 of file DTOccupancyClusterBuilder.cc.

References theDistances.

Referenced by buildNewCluster().

                                                                                      {
  return theDistances.begin()->second;
}

isProblematic()

bool DTOccupancyClusterBuilder::isProblematic

(

DTLayerId

layerId

)

const

Definition at line 158 of file DTOccupancyClusterBuilder.cc.

References theProblematicLayers.

                                                                     {
  if (theProblematicLayers.find(layerId) != theProblematicLayers.end()) {
    return true;
  }
  return false;
}

sortClusters()

void DTOccupancyClusterBuilder::sortClusters ( )

private

Definition at line 141 of file DTOccupancyClusterBuilder.cc.

References clusterIsLessThan(), LogTrace, jetsAK4_CHS_cff::sort, theClusters, and theProblematicLayers.

Referenced by buildClusters().

                                             {
  LogTrace("DTDQM|DTMonitorClient|DTOccupancyTest|DTOccupancyClusterBuilder") << " sorting" << endl;
  sort(theClusters.begin(), theClusters.end(), clusterIsLessThan);
  // we save the detid of the clusters which are not the best one
  for (vector<DTOccupancyCluster>::const_iterator cluster = ++(theClusters.begin()); cluster != theClusters.end();
       ++cluster) {  // loop over clusters skipping the first
    set<DTLayerId> clusterLayers = (*cluster).getLayerIDs();
    LogTrace("DTDQM|DTMonitorClient|DTOccupancyTest|DTOccupancyClusterBuilder")
        << "     # layers in the cluster: " << clusterLayers.size() << endl;
    theProblematicLayers.insert(clusterLayers.begin(), clusterLayers.end());
  }
  LogTrace("DTDQM|DTMonitorClient|DTOccupancyTest|DTOccupancyClusterBuilder")
      << " # of problematic layers: " << theProblematicLayers.size() << endl;
}

Member Data Documentation

maxMean

double DTOccupancyClusterBuilder::maxMean

private

Definition at line 60 of file DTOccupancyClusterBuilder.h.

Referenced by buildClusters(), buildNewCluster(), and drawClusters().

maxRMS

double DTOccupancyClusterBuilder::maxRMS

private

Definition at line 61 of file DTOccupancyClusterBuilder.h.

Referenced by buildClusters(), buildNewCluster(), and drawClusters().

theClusters

std::vector<DTOccupancyCluster> DTOccupancyClusterBuilder::theClusters

private

Definition at line 57 of file DTOccupancyClusterBuilder.h.

Referenced by buildClusters(), buildNewCluster(), drawClusters(), getBestCluster(), and sortClusters().

theDistances

std::map<double, std::pair<DTOccupancyPoint, DTOccupancyPoint> > DTOccupancyClusterBuilder::theDistances

private

Definition at line 55 of file DTOccupancyClusterBuilder.h.

Referenced by addPoint(), computePointToPointDistances(), and getInitialPair().

theDistancesFromTheCluster

std::map<double, DTOccupancyPoint> DTOccupancyClusterBuilder::theDistancesFromTheCluster

private

Definition at line 56 of file DTOccupancyClusterBuilder.h.

Referenced by buildNewCluster(), and computeDistancesToCluster().

thePoints

std::set<DTOccupancyPoint> DTOccupancyClusterBuilder::thePoints

private

Definition at line 54 of file DTOccupancyClusterBuilder.h.

Referenced by addPoint(), buildClusters(), buildNewCluster(), computeDistancesToCluster(), and computePointToPointDistances().

theProblematicLayers

std::set<DTLayerId> DTOccupancyClusterBuilder::theProblematicLayers

private

Definition at line 58 of file DTOccupancyClusterBuilder.h.

Referenced by isProblematic(), and sortClusters().