Inheritance diagram for JetCoreClusterSplitter:

Public Member Functions
	JetCoreClusterSplitter (const edm::ParameterSet &iConfig)

void	produce (edm::Event &iEvent, const edm::EventSetup &iSetup) override

	~JetCoreClusterSplitter () override

Public Member Functions inherited from edm::stream::EDProducer<>
	EDProducer ()=default

bool	hasAbilityToProduceInBeginLumis () const final

bool	hasAbilityToProduceInBeginRuns () const final

bool	hasAbilityToProduceInEndLumis () const final

bool	hasAbilityToProduceInEndRuns () const final

Private Member Functions
std::pair< float, float >	closestClusters (const std::vector< float > &distanceMap)

std::multimap< float, int >	distScore (const std::vector< std::vector< float >> &distanceMap)

std::vector< SiPixelCluster >	fittingSplit (const SiPixelCluster &aCluster, float expectedADC, int sizeY, int sizeX, float jetZOverRho, unsigned int nSplitted)

std::multimap< float, int >	secondDistDiffScore (const std::vector< std::vector< float >> &distanceMap)

std::multimap< float, int >	secondDistScore (const std::vector< std::vector< float >> &distanceMap)

bool	split (const SiPixelCluster &aCluster, edmNew::DetSetVector< SiPixelCluster >::FastFiller &filler, float expectedADC, int sizeY, int sizeX, float jetZOverRho)

Private Attributes
double	centralMIPCharge_

double	chargeFracMin_

double	chargePerUnit_

edm::EDGetTokenT< edm::View< reco::Candidate > >	cores_

double	deltaR_

double	forceXError_

double	forceYError_

double	fractionalWidth_

edm::EDGetTokenT< edmNew::DetSetVector< SiPixelCluster > >	pixelClusters_

std::string	pixelCPE_

double	ptMin_

bool	verbose

edm::EDGetTokenT< reco::VertexCollection >	vertices_

Additional Inherited Members
Public Types inherited from edm::stream::EDProducer<>
typedef CacheContexts< T... >	CacheTypes

typedef CacheTypes::GlobalCache	GlobalCache

typedef AbilityChecker< T... >	HasAbility

typedef CacheTypes::LuminosityBlockCache	LuminosityBlockCache

typedef LuminosityBlockContextT< LuminosityBlockCache, RunCache, GlobalCache >	LuminosityBlockContext

typedef CacheTypes::LuminosityBlockSummaryCache	LuminosityBlockSummaryCache

typedef CacheTypes::RunCache	RunCache

typedef RunContextT< RunCache, GlobalCache >	RunContext

typedef CacheTypes::RunSummaryCache	RunSummaryCache

Detailed Description

Definition at line 26 of file JetCoreClusterSplitter.cc.

Constructor & Destructor Documentation

JetCoreClusterSplitter::JetCoreClusterSplitter ( const edm::ParameterSet & iConfig )

Definition at line 64 of file JetCoreClusterSplitter.cc.

     : verbose(iConfig.getParameter<bool>("verbose")),
       pixelCPE_(iConfig.getParameter<std::string>("pixelCPE")),
       ptMin_(iConfig.getParameter<double>("ptMin")),
       deltaR_(iConfig.getParameter<double>("deltaRmax")),
       chargeFracMin_(iConfig.getParameter<double>("chargeFractionMin")),
       pixelClusters_(
           consumes<edmNew::DetSetVector<SiPixelCluster>>(iConfig.getParameter<edm::InputTag>("pixelClusters"))),
       vertices_(consumes<reco::VertexCollection>(iConfig.getParameter<edm::InputTag>("vertices"))),
       cores_(consumes<edm::View<reco::Candidate>>(iConfig.getParameter<edm::InputTag>("cores"))),
       forceXError_(iConfig.getParameter<double>("forceXError")),
       forceYError_(iConfig.getParameter<double>("forceYError")),
       fractionalWidth_(iConfig.getParameter<double>("fractionalWidth")),
       chargePerUnit_(iConfig.getParameter<double>("chargePerUnit")),
       centralMIPCharge_(iConfig.getParameter<double>("centralMIPCharge"))
 
 {
   produces<edmNew::DetSetVector<SiPixelCluster>>();
 }

JetCoreClusterSplitter::~JetCoreClusterSplitter ( )

override

Definition at line 84 of file JetCoreClusterSplitter.cc.

84 {}

Member Function Documentation

std::pair< float, float > JetCoreClusterSplitter::closestClusters ( const std::vector< float > & distanceMap )

private

Definition at line 208 of file JetCoreClusterSplitter.cc.

References mps_fire::i, and SiStripPI::max.

Referenced by distScore(), secondDistDiffScore(), and secondDistScore().

                                                                                                  {
   float minDist = std::numeric_limits<float>::max();
   float secondMinDist = std::numeric_limits<float>::max();
   for (unsigned int i = 0; i < distanceMap.size(); i++) {
     float dist = distanceMap[i];
     if (dist < minDist) {
       secondMinDist = minDist;
       minDist = dist;
     } else if (dist < secondMinDist) {
       secondMinDist = dist;
     }
   }
   return std::pair<float, float>(minDist, secondMinDist);
 }

std::multimap< float, int > JetCoreClusterSplitter::distScore ( const std::vector< std::vector< float >> & distanceMap )

private

Definition at line 242 of file JetCoreClusterSplitter.cc.

References closestClusters(), ztail::d, and dqmiolumiharvest::j.

                                                                                                         {
   std::multimap<float, int> scores;
   for (unsigned int j = 0; j < distanceMap.size(); j++) {
     std::pair<float, float> d = closestClusters(distanceMap[j]);
     scores.insert(std::pair<float, int>(-d.first, j));
   }
   return scores;
 }

std::vector< SiPixelCluster > JetCoreClusterSplitter::fittingSplit	(	const SiPixelCluster &	aCluster,
		float	expectedADC,
		int	sizeY,
		int	sizeX,
		float	jetZOverRho,
		unsigned int	nSplitted
	)

private

Definition at line 251 of file JetCoreClusterSplitter.cc.

References funct::abs(), ecalMGPA::adc(), centralMIPCharge_, chargePerUnit_, GetRecoTauVFromDQM_MC_cff::cl, gather_cfg::cout, DEFINE_FWK_MODULE, MillePedeFileConverter_cfg::e, relativeConstraints::empty, JetChargeProducer_cfi::exp, f, forceXError_, forceYError_, fractionalWidth_, mps_fire::i, createfilelist::int, dqmiolumiharvest::j, dqmdumpme::k, convertSQLitetoXML_cfg::output, AlCaHLTBitMon_ParallelJobs::p, SiPixelCluster::pixels(), edm::second(), secondDistScore(), RecoTauValidation_cfi::sizeX, RecoTauValidation_cfi::sizeY, mathSSE::sqrt(), x, and y.

Referenced by split().

                                                                                          {
   std::vector<SiPixelCluster> output;
 
   unsigned int meanExp = nSplitted;
   if (meanExp <= 1) {
     output.push_back(aCluster);
     return output;
   }
 
   std::vector<float> clx(meanExp);
   std::vector<float> cly(meanExp);
   std::vector<float> cls(meanExp);
   std::vector<float> oldclx(meanExp);
   std::vector<float> oldcly(meanExp);
   std::vector<SiPixelCluster::Pixel> originalpixels = aCluster.pixels();
   std::vector<std::pair<int, SiPixelCluster::Pixel>> pixels;
   for (unsigned int j = 0; j < originalpixels.size(); j++) {
     int sub = originalpixels[j].adc / chargePerUnit_ * expectedADC / centralMIPCharge_;
     if (sub < 1)
       sub = 1;
     int perDiv = originalpixels[j].adc / sub;
     if (verbose)
       std::cout << "Splitting  " << j << "  in [ " << pixels.size() << " , " << pixels.size() + sub
                 << " ], expected numb of clusters: " << meanExp << " original pixel (x,y) " << originalpixels[j].x
                 << " " << originalpixels[j].y << " sub " << sub << std::endl;
     for (int k = 0; k < sub; k++) {
       if (k == sub - 1)
         perDiv = originalpixels[j].adc - perDiv * k;
       pixels.push_back(std::make_pair(j, SiPixelCluster::Pixel(originalpixels[j].x, originalpixels[j].y, perDiv)));
     }
   }
   std::vector<int> clusterForPixel(pixels.size());
   // initial values
   for (unsigned int j = 0; j < meanExp; j++) {
     oldclx[j] = -999;
     oldcly[j] = -999;
     clx[j] = originalpixels[0].x + j;
     cly[j] = originalpixels[0].y + j;
     cls[j] = 0;
   }
   bool stop = false;
   int remainingSteps = 100;
   while (!stop && remainingSteps > 0) {
     remainingSteps--;
     // Compute all distances
     std::vector<std::vector<float>> distanceMapX(originalpixels.size(), std::vector<float>(meanExp));
     std::vector<std::vector<float>> distanceMapY(originalpixels.size(), std::vector<float>(meanExp));
     std::vector<std::vector<float>> distanceMap(originalpixels.size(), std::vector<float>(meanExp));
     for (unsigned int j = 0; j < originalpixels.size(); j++) {
       if (verbose)
         std::cout << "Original Pixel pos " << j << " " << pixels[j].second.x << " " << pixels[j].second.y << std::endl;
       for (unsigned int i = 0; i < meanExp; i++) {
         distanceMapX[j][i] = 1.f * originalpixels[j].x - clx[i];
         distanceMapY[j][i] = 1.f * originalpixels[j].y - cly[i];
         float dist = 0;
         //              float sizeX=2;
         if (std::abs(distanceMapX[j][i]) > sizeX / 2.f) {
           dist +=
               (std::abs(distanceMapX[j][i]) - sizeX / 2.f + 1.f) * (std::abs(distanceMapX[j][i]) - sizeX / 2.f + 1.f);
         } else {
           dist += (2.f * distanceMapX[j][i] / sizeX) * (2.f * distanceMapX[j][i] / sizeX);
         }
 
         if (std::abs(distanceMapY[j][i]) > sizeY / 2.f) {
           dist += 1.f * (std::abs(distanceMapY[j][i]) - sizeY / 2.f + 1.f) *
                   (std::abs(distanceMapY[j][i]) - sizeY / 2.f + 1.f);
         } else {
           dist += 1.f * (2.f * distanceMapY[j][i] / sizeY) * (2.f * distanceMapY[j][i] / sizeY);
         }
         distanceMap[j][i] = sqrt(dist);
         if (verbose)
           std::cout << "Cluster " << i << " Original Pixel " << j << " distances: " << distanceMapX[j][i] << " "
                     << distanceMapY[j][i] << " " << distanceMap[j][i] << std::endl;
       }
     }
     // Compute scores for sequential addition. The first index is the
     // distance, in whatever metrics we use, while the second is the
     // pixel index w.r.t which the distance is computed.
     std::multimap<float, int> scores;
 
     // Using different rankings to improve convergence (as Giulio proposed)
     scores = secondDistScore(distanceMap);
 
     // Iterate starting from the ones with furthest second best clusters, i.e.
     // easy choices
     std::vector<float> weightOfPixel(pixels.size());
     for (std::multimap<float, int>::iterator it = scores.begin(); it != scores.end(); it++) {
       int pixel_index = it->second;
       if (verbose)
         std::cout << "Original Pixel " << pixel_index << " with score " << it->first << std::endl;
       // find cluster that is both close and has some charge still to assign
       int subpixel_counter = 0;
       for (auto subpixel = pixels.begin(); subpixel != pixels.end(); ++subpixel, ++subpixel_counter) {
         if (subpixel->first > pixel_index) {
           break;
         } else if (subpixel->first != pixel_index) {
           continue;
         } else {
           float maxEst = 0;
           int cl = -1;
           for (unsigned int subcluster_index = 0; subcluster_index < meanExp; subcluster_index++) {
             float nsig = (cls[subcluster_index] - expectedADC) /
                          (expectedADC * fractionalWidth_);        // 20% uncertainty? realistic from Landau?
             float clQest = 1.f / (1.f + std::exp(nsig)) + 1e-6f;  // 1./(1.+exp(x*x-3*3))
             float clDest = 1.f / (distanceMap[pixel_index][subcluster_index] + 0.05f);
 
             if (verbose)
               std::cout << " Q: " << clQest << " D: " << clDest << " " << distanceMap[pixel_index][subcluster_index]
                         << std::endl;
             float est = clQest * clDest;
             if (est > maxEst) {
               cl = subcluster_index;
               maxEst = est;
             }
           }
           cls[cl] += subpixel->second.adc;
           clusterForPixel[subpixel_counter] = cl;
           weightOfPixel[subpixel_counter] = maxEst;
           if (verbose)
             std::cout << "Pixel weight j cl " << weightOfPixel[subpixel_counter] << " " << subpixel_counter << " " << cl
                       << std::endl;
         }
       }
     }
     // Recompute cluster centers
     stop = true;
     for (unsigned int subcluster_index = 0; subcluster_index < meanExp; subcluster_index++) {
       if (std::abs(clx[subcluster_index] - oldclx[subcluster_index]) > 0.01f)
         stop = false;  // still moving
       if (std::abs(cly[subcluster_index] - oldcly[subcluster_index]) > 0.01f)
         stop = false;
       oldclx[subcluster_index] = clx[subcluster_index];
       oldcly[subcluster_index] = cly[subcluster_index];
       clx[subcluster_index] = 0;
       cly[subcluster_index] = 0;
       cls[subcluster_index] = 1e-99;
     }
     for (unsigned int pixel_index = 0; pixel_index < pixels.size(); pixel_index++) {
       if (clusterForPixel[pixel_index] < 0)
         continue;
       if (verbose)
         std::cout << "j " << pixel_index << " x " << pixels[pixel_index].second.x << " * y "
                   << pixels[pixel_index].second.y << " * ADC " << pixels[pixel_index].second.adc << " * W "
                   << weightOfPixel[pixel_index] << std::endl;
       clx[clusterForPixel[pixel_index]] += pixels[pixel_index].second.x * pixels[pixel_index].second.adc;
       cly[clusterForPixel[pixel_index]] += pixels[pixel_index].second.y * pixels[pixel_index].second.adc;
       cls[clusterForPixel[pixel_index]] += pixels[pixel_index].second.adc;
     }
     for (unsigned int subcluster_index = 0; subcluster_index < meanExp; subcluster_index++) {
       if (cls[subcluster_index] != 0) {
         clx[subcluster_index] /= cls[subcluster_index];
         cly[subcluster_index] /= cls[subcluster_index];
       }
       if (verbose)
         std::cout << "Center for cluster " << subcluster_index << " x,y " << clx[subcluster_index] << " "
                   << cly[subcluster_index] << std::endl;
       cls[subcluster_index] = 0;
     }
   }
   if (verbose)
     std::cout << "maxstep " << remainingSteps << std::endl;
   // accumulate pixel with same cl
   std::vector<std::vector<SiPixelCluster::Pixel>> pixelsForCl(meanExp);
   for (int cl = 0; cl < (int)meanExp; cl++) {
     for (unsigned int j = 0; j < pixels.size(); j++) {
       if (clusterForPixel[j] == cl and pixels[j].second.adc != 0) {  // for each pixel of cluster
                                                                      // cl find the other pixels
                                                                      // with same x,y and
                                                                      // accumulate+reset their adc
         for (unsigned int k = j + 1; k < pixels.size(); k++) {
           if (pixels[k].second.adc != 0 and pixels[k].second.x == pixels[j].second.x and
               pixels[k].second.y == pixels[j].second.y and clusterForPixel[k] == cl) {
             if (verbose)
               std::cout << "Resetting all sub-pixel for location " << pixels[k].second.x << ", " << pixels[k].second.y
                         << " at index " << k << " associated to cl " << clusterForPixel[k] << std::endl;
             pixels[j].second.adc += pixels[k].second.adc;
             pixels[k].second.adc = 0;
           }
         }
         for (unsigned int p = 0; p < pixels.size(); ++p)
           if (verbose)
             std::cout << "index, x, y, ADC: " << p << ", " << pixels[p].second.x << ", " << pixels[p].second.y << ", "
                       << pixels[p].second.adc << " associated to cl " << clusterForPixel[p] << std::endl
                       << "Adding pixel " << pixels[j].second.x << ", " << pixels[j].second.y << " to cluster " << cl
                       << std::endl;
         pixelsForCl[cl].push_back(pixels[j].second);
       }
     }
   }
 
   //    std::vector<std::vector<std::vector<SiPixelCluster::PixelPos *> > >
   //pixelMap(meanExp,std::vector<std::vector<SiPixelCluster::PixelPos *>
   //>(512,std::vector<SiPixelCluster::Pixel *>(512,0)));
 
   for (int cl = 0; cl < (int)meanExp; cl++) {
     if (verbose)
       std::cout << "Pixels of cl " << cl << " ";
     for (unsigned int j = 0; j < pixelsForCl[cl].size(); j++) {
       SiPixelCluster::PixelPos newpix(pixelsForCl[cl][j].x, pixelsForCl[cl][j].y);
       if (verbose)
         std::cout << pixelsForCl[cl][j].x << "," << pixelsForCl[cl][j].y << "|";
       if (j == 0) {
         output.emplace_back(newpix, pixelsForCl[cl][j].adc);
       } else {
         output.back().add(newpix, pixelsForCl[cl][j].adc);
       }
     }
     if (verbose)
       std::cout << std::endl;
     if (!pixelsForCl[cl].empty()) {
       if (forceXError_ > 0)
         output.back().setSplitClusterErrorX(forceXError_);
       if (forceYError_ > 0)
         output.back().setSplitClusterErrorY(forceYError_);
     }
   }
   //    if(verbose) std::cout << "Weights" << std::endl;
   //    if(verbose) print(theWeights,aCluster,1);
   //    if(verbose) std::cout << "Unused charge" << std::endl;
   //    if(verbose) print(theBufferResidual,aCluster);
 
   return output;
 }

void JetCoreClusterSplitter::produce	(	edm::Event &	iEvent,
		const edm::EventSetup &	iSetup
	)

override

Definition at line 88 of file JetCoreClusterSplitter.cc.

References funct::abs(), edmNew::DetSetVector< T >::begin(), HltBtagPostValidation_cff::c, centralMIPCharge_, SiPixelCluster::charge(), chargeFracMin_, GetRecoTauVFromDQM_MC_cff::cl2, HLT_FULL_cff::cores, cores_, gather_cfg::cout, PbPb_ZMuSkimMuonDPG_cff::deltaR, deltaR_, edmNew::DetSetVector< T >::end(), f, trigObjTnPSource_cfi::filler, dqmdumpme::first, geometry, edm::EventSetup::get(), edm::Event::getByToken(), edmNew::DetSetVector< T >::id(), GlobalTrackingGeometry::idToDet(), GlobalTrackingGeometry::idToDetUnit(), metsig::jet, PixelClusterParameterEstimator::localParametersV(), SiPixelCluster::minPixelRow(), reco::Candidate::momentum(), eostools::move(), convertSQLitetoXML_cfg::output, pixelClusters_, pixelCPE_, reco::Vertex::position(), createTree::pp, edm::ESHandle< T >::product(), ptMin_, edm::Event::put(), MetAnalyzer::pv(), reco::Candidate::px(), reco::Candidate::py(), reco::Candidate::pz(), SiPixelCluster::setSplitClusterErrorX(), SiPixelCluster::setSplitClusterErrorY(), SiPixelCluster::sizeX(), SiPixelCluster::sizeY(), split(), mathSSE::sqrt(), GeomDet::surface(), Surface::toGlobal(), pwdgSkimBPark_cfi::vertices, vertices_, and PV3DBase< T, PVType, FrameType >::z().

                                                                                   {
   using namespace edm;
   edm::ESHandle<GlobalTrackingGeometry> geometry;
   iSetup.get<GlobalTrackingGeometryRecord>().get(geometry);
 
   Handle<edmNew::DetSetVector<SiPixelCluster>> inputPixelClusters;
   iEvent.getByToken(pixelClusters_, inputPixelClusters);
 
   Handle<std::vector<reco::Vertex>> vertices;
   iEvent.getByToken(vertices_, vertices);
   const reco::Vertex& pv = (*vertices)[0];
 
   Handle<edm::View<reco::Candidate>> cores;
   iEvent.getByToken(cores_, cores);
 
   edm::ESHandle<PixelClusterParameterEstimator> pe;
   const PixelClusterParameterEstimator* pp;
   iSetup.get<TkPixelCPERecord>().get(pixelCPE_, pe);
   pp = pe.product();
 
   auto output = std::make_unique<edmNew::DetSetVector<SiPixelCluster>>();
 
   edmNew::DetSetVector<SiPixelCluster>::const_iterator detIt = inputPixelClusters->begin();
   for (; detIt != inputPixelClusters->end(); detIt++) {
     edmNew::DetSetVector<SiPixelCluster>::FastFiller filler(*output, detIt->id());
     const edmNew::DetSet<SiPixelCluster>& detset = *detIt;
     const GeomDet* det = geometry->idToDet(detset.id());
     for (auto cluster = detset.begin(); cluster != detset.end(); cluster++) {
       const SiPixelCluster& aCluster = *cluster;
       bool hasBeenSplit = false;
       bool shouldBeSplit = false;
       GlobalPoint cPos =
           det->surface().toGlobal(pp->localParametersV(aCluster, (*geometry->idToDetUnit(detIt->id())))[0].first);
       GlobalPoint ppv(pv.position().x(), pv.position().y(), pv.position().z());
       GlobalVector clusterDir = cPos - ppv;
       for (unsigned int ji = 0; ji < cores->size(); ji++) {
         if ((*cores)[ji].pt() > ptMin_) {
           const reco::Candidate& jet = (*cores)[ji];
           GlobalVector jetDir(jet.px(), jet.py(), jet.pz());
           if (Geom::deltaR(jetDir, clusterDir) < deltaR_) {
             // check if the cluster has to be splitted
 
             bool isEndCap = (std::abs(cPos.z()) > 30.f);  // FIXME: check detID instead!
             float jetZOverRho = jet.momentum().Z() / jet.momentum().Rho();
             if (isEndCap)
               jetZOverRho = jet.momentum().Rho() / jet.momentum().Z();
             float expSizeY = std::sqrt((1.3f * 1.3f) + (1.9f * 1.9f) * jetZOverRho * jetZOverRho);
             if (expSizeY < 1.f)
               expSizeY = 1.f;
             float expSizeX = 1.5f;
             if (isEndCap) {
               expSizeX = expSizeY;
               expSizeY = 1.5f;
             }  // in endcap col/rows are switched
             float expCharge = std::sqrt(1.08f + jetZOverRho * jetZOverRho) * centralMIPCharge_;
 
             if (aCluster.charge() > expCharge * chargeFracMin_ &&
                 (aCluster.sizeX() > expSizeX + 1 || aCluster.sizeY() > expSizeY + 1)) {
               shouldBeSplit = true;
               if (verbose)
                 std::cout << "Trying to split: charge and deltaR " << aCluster.charge() << " "
                           << Geom::deltaR(jetDir, clusterDir) << " size x y " << aCluster.sizeX() << " "
                           << aCluster.sizeY() << " exp. size (x,y) " << expSizeX << " " << expSizeY << " detid "
                           << detIt->id() << std::endl;
               if (verbose)
                 std::cout << "jetZOverRho=" << jetZOverRho << std::endl;
 
               if (split(aCluster, filler, expCharge, expSizeY, expSizeX, jetZOverRho)) {
                 hasBeenSplit = true;
               }
             }
           }
         }
       }
       if (!hasBeenSplit) {
         SiPixelCluster c = aCluster;
         if (shouldBeSplit) {
           // blowup the error if we failed to split a splittable cluster (does
           // it ever happen)
           c.setSplitClusterErrorX(c.sizeX() * (100.f / 3.f));  // this is not really blowing up .. TODO: tune
           c.setSplitClusterErrorY(c.sizeY() * (150.f / 3.f));
         }
         filler.push_back(c);
         std::push_heap(filler.begin(), filler.end(), [](SiPixelCluster const& cl1, SiPixelCluster const& cl2) {
           return cl1.minPixelRow() < cl2.minPixelRow();
         });
       }
     }  // loop over clusters
     std::sort_heap(filler.begin(), filler.end(), [](SiPixelCluster const& cl1, SiPixelCluster const& cl2) {
       return cl1.minPixelRow() < cl2.minPixelRow();
     });
 
   }  // loop over det
   iEvent.put(std::move(output));
 }

std::multimap< float, int > JetCoreClusterSplitter::secondDistDiffScore ( const std::vector< std::vector< float >> & distanceMap )

private

Definition at line 223 of file JetCoreClusterSplitter.cc.

References closestClusters(), ztail::d, and dqmiolumiharvest::j.

                                                     {
   std::multimap<float, int> scores;
   for (unsigned int j = 0; j < distanceMap.size(); j++) {
     std::pair<float, float> d = closestClusters(distanceMap[j]);
     scores.insert(std::pair<float, int>(d.second - d.first, j));
   }
   return scores;
 }

std::multimap< float, int > JetCoreClusterSplitter::secondDistScore ( const std::vector< std::vector< float >> & distanceMap )

private

Definition at line 233 of file JetCoreClusterSplitter.cc.

References closestClusters(), ztail::d, and dqmiolumiharvest::j.

Referenced by fittingSplit().

                                                                                                               {
   std::multimap<float, int> scores;
   for (unsigned int j = 0; j < distanceMap.size(); j++) {
     std::pair<float, float> d = closestClusters(distanceMap[j]);
     scores.insert(std::pair<float, int>(-d.second, j));
   }
   return scores;
 }

bool JetCoreClusterSplitter::split	(	const SiPixelCluster &	aCluster,
		edmNew::DetSetVector< SiPixelCluster >::FastFiller &	filler,
		float	expectedADC,
		int	sizeY,
		int	sizeX,
		float	jetZOverRho
	)

private

Definition at line 184 of file JetCoreClusterSplitter.cc.

References edmNew::DetSetVector< T >::FastFiller::begin(), SiPixelCluster::charge(), GetRecoTauVFromDQM_MC_cff::cl2, edmNew::DetSetVector< T >::FastFiller::end(), fittingSplit(), mps_fire::i, SiPixelCluster::minPixelRow(), and edmNew::DetSetVector< T >::FastFiller::push_back().

Referenced by produce().

                                                       {
   // This function should test several configuration of splitting, and then
   // return the one with best chi2
 
   std::vector<SiPixelCluster> sp = fittingSplit(
       aCluster, expectedADC, sizeY, sizeX, jetZOverRho, std::floor(aCluster.charge() / expectedADC + 0.5f));
 
   // for the config with best chi2
   for (unsigned int i = 0; i < sp.size(); i++) {
     filler.push_back(sp[i]);
     std::push_heap(filler.begin(), filler.end(), [](SiPixelCluster const& cl1, SiPixelCluster const& cl2) {
       return cl1.minPixelRow() < cl2.minPixelRow();
     });
   }
 
   return (!sp.empty());
 }

Member Data Documentation

double JetCoreClusterSplitter::centralMIPCharge_

private

Definition at line 61 of file JetCoreClusterSplitter.cc.

Referenced by fittingSplit(), and produce().

double JetCoreClusterSplitter::chargeFracMin_

private

Definition at line 53 of file JetCoreClusterSplitter.cc.

Referenced by produce().

double JetCoreClusterSplitter::chargePerUnit_

private

Definition at line 60 of file JetCoreClusterSplitter.cc.

Referenced by fittingSplit().

edm::EDGetTokenT<edm::View<reco::Candidate> > JetCoreClusterSplitter::cores_

private

Definition at line 56 of file JetCoreClusterSplitter.cc.

Referenced by produce().

double JetCoreClusterSplitter::deltaR_

private

Definition at line 52 of file JetCoreClusterSplitter.cc.

Referenced by produce().

double JetCoreClusterSplitter::forceXError_

private

Definition at line 57 of file JetCoreClusterSplitter.cc.

Referenced by fittingSplit().

double JetCoreClusterSplitter::forceYError_

private

Definition at line 58 of file JetCoreClusterSplitter.cc.

Referenced by fittingSplit().

double JetCoreClusterSplitter::fractionalWidth_

private

Definition at line 59 of file JetCoreClusterSplitter.cc.

Referenced by fittingSplit().

edm::EDGetTokenT<edmNew::DetSetVector<SiPixelCluster> > JetCoreClusterSplitter::pixelClusters_

private

Definition at line 54 of file JetCoreClusterSplitter.cc.

Referenced by produce().

std::string JetCoreClusterSplitter::pixelCPE_

private

Definition at line 50 of file JetCoreClusterSplitter.cc.

Referenced by produce().

double JetCoreClusterSplitter::ptMin_

private

Definition at line 51 of file JetCoreClusterSplitter.cc.

Referenced by produce().

bool JetCoreClusterSplitter::verbose

private

Definition at line 49 of file JetCoreClusterSplitter.cc.

edm::EDGetTokenT<reco::VertexCollection> JetCoreClusterSplitter::vertices_

private

Definition at line 55 of file JetCoreClusterSplitter.cc.

Referenced by produce().

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation