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Multi5x5BremRecoveryClusterAlgo.cc
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4 
6 {
7 
8  const float etaBorder = 1.479;
9  superclusters_v.clear();
10 
11  // create vectors of references to clusters of a specific origin...
12  reco::CaloClusterPtrVector islandClustersBarrel_v;
13  reco::CaloClusterPtrVector islandClustersEndCap_v;
14 
15  // ...and populate them:
16  for (reco::CaloCluster_iterator it = clustersCollection.begin(); it != clustersCollection.end(); it++)
17  {
18  reco::CaloClusterPtr cluster_p = *it;
19  if (cluster_p->algo() == reco::CaloCluster::multi5x5)
20  {
21  if (fabs(cluster_p->position().eta()) < etaBorder)
22  {
23  islandClustersBarrel_v.push_back(cluster_p);
24  }
25  else
26  {
27  islandClustersEndCap_v.push_back(cluster_p);
28  }
29  }
30  }
31 
32  // make the superclusters from the Barrel clusters - Island
33  makeIslandSuperClusters(islandClustersBarrel_v, eb_rdeta_, eb_rdphi_);
34  // make the superclusters from the EndCap clusters - Island
35  makeIslandSuperClusters(islandClustersEndCap_v, ec_rdeta_, ec_rdphi_);
36 
37  return superclusters_v;
38 }
39 
41 
43  double etaRoad, double phiRoad)
44 {
45 
46 
47  bool usedSeed[clusters_v.size()];
48  for (auto ic=0U; ic<clusters_v.size(); ++ic) usedSeed[ic]=false;
49 
50  float eta[clusters_v.size()], phi[clusters_v.size()], et[clusters_v.size()];
51  for (auto ic=0U; ic<clusters_v.size(); ++ic) {
52  eta[ic]=clusters_v[ic]->eta();
53  phi[ic]=clusters_v[ic]->phi();
54  et[ic]=clusters_v[ic]->energy() * sin(clusters_v[ic]->position().theta());
55  }
56 
57  for (auto is=0U; is<clusters_v.size(); ++is) {
58  // check this seed was not already used
59  if (usedSeed[is]) continue;
60  auto const & currentSeed = clusters_v[is];
61 
62  // Does our highest energy cluster have high enough energy?
63  // changed this to continue from break (to be robust against the order of sorting of the seed clusters)
64  if (et[is] < seedTransverseEnergyThreshold) continue;
65 
66  // if yes, make it a seed for a new SuperCluster:
67  double energy = (currentSeed)->energy();
68  math::XYZVector position_((currentSeed)->position().X(),
69  (currentSeed)->position().Y(),
70  (currentSeed)->position().Z());
71  position_ *= energy;
72  usedSeed[is]=true;
73 
74  LogTrace("EcalClusters") << "*****************************";
75  LogTrace("EcalClusters") << "******NEW SUPERCLUSTER*******";
76  LogTrace("EcalClusters") << "Seed R = " << (currentSeed)->position().Rho();
77 
78  reco::CaloClusterPtrVector constituentClusters;
79  constituentClusters.push_back(currentSeed);
80  auto ic = is + 1;
81 
82  while (ic < clusters_v.size()) {
83  auto const & currentCluster = clusters_v[ic];
84 
85  // if dynamic phi road is enabled then compute the phi road for a cluster
86  // of energy of existing clusters + the candidate cluster.
87  if (dynamicPhiRoad_)
88  phiRoad = phiRoadAlgo_->endcapPhiRoad(energy + (currentCluster)->energy());
89 
90  auto dphi = [](float p1,float p2) {
91  auto dp=std::abs(p1-p2); if (dp>float(M_PI)) dp-=float(2*M_PI);
92  return std::abs(dp);
93  };
94 
95  auto match = [&](int i, int j) {
96  return (dphi(phi[i],phi[j])< phiRoad) & (std::abs(eta[i]-eta[j])< etaRoad);
97  };
98 
99  // does the cluster match the phi road for this candidate supercluster
100  if (!usedSeed[ic] && match(is,ic)) {
101 
102  // add basic cluster to supercluster constituents
103  constituentClusters.push_back(currentCluster);
104  energy += (currentCluster)->energy();
105  position_ += (currentCluster)->energy() * math::XYZVector((currentCluster)->position().X(),
106  (currentCluster)->position().Y(),
107  (currentCluster)->position().Z()
108  );
109  // remove cluster from vector of available clusters
110  usedSeed[ic]=true;
111  LogTrace("EcalClusters") << "Cluster R = " << (currentCluster)->position().Rho();
112  }
113  ++ic;
114  }
115 
116  position_ /= energy;
117 
118  LogTrace("EcalClusters") <<"Final SuperCluster R = " << position_.Rho();
119 
120  reco::SuperCluster newSuperCluster(energy,
121  math::XYZPoint(position_.X(), position_.Y(), position_.Z()),
122  currentSeed,
123  constituentClusters);
124 
125  superclusters_v.push_back(newSuperCluster);
126  LogTrace("EcalClusters") << "created a new supercluster of: ";
127  LogTrace("EcalClusters") << "Energy = " << newSuperCluster.energy();
128  LogTrace("EcalClusters") << "Position in (R, phi, theta) = ("
129  << newSuperCluster.position().Rho() << ", "
130  << newSuperCluster.position().phi() << ", "
131  << newSuperCluster.position().theta() << ")" ;
132 
133 
134  }
135 
136  clusters_v.clear();
137 
138 }
const double Z[kNumberCalorimeter]
const math::XYZPoint & position() const
cluster centroid position
Definition: CaloCluster.h:124
int i
Definition: DBlmapReader.cc:9
void makeIslandSuperClusters(reco::CaloClusterPtrVector &clusters_v, double etaRoad, double phiRoad)
size_type size() const
Size of the RefVector.
Definition: PtrVectorBase.h:73
void push_back(Ptr< T > const &iPtr)
Definition: PtrVector.h:138
Sin< T >::type sin(const T &t)
Definition: Sin.h:22
reco::SuperClusterCollection makeSuperClusters(reco::CaloClusterPtrVector &clusters)
Geom::Theta< T > theta() const
#define X(str)
Definition: MuonsGrabber.cc:48
T eta() const
static int position[TOTALCHAMBERS][3]
Definition: ReadPGInfo.cc:509
const_iterator begin() const
Definition: PtrVector.h:127
std::vector< SuperCluster > SuperClusterCollection
collection of SuperCluser objectr
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
const_iterator end() const
Definition: PtrVector.h:132
int j
Definition: DBlmapReader.cc:9
double energy() const
cluster energy
Definition: CaloCluster.h:120
double p2[4]
Definition: TauolaWrapper.h:90
#define LogTrace(id)
#define M_PI
reco::SuperClusterCollection superclusters_v
double endcapPhiRoad(double energy)
XYZVectorD XYZVector
spatial vector with cartesian internal representation
Definition: Vector3D.h:30
auto dp
Definition: deltaR.h:24
XYZPointD XYZPoint
point in space with cartesian internal representation
Definition: Point3D.h:12
void clear()
Clear the PtrVector.
Definition: PtrVectorBase.h:79
double p1[4]
Definition: TauolaWrapper.h:89
std::pair< typename Association::data_type::first_type, double > match(Reference key, Association association, bool bestMatchByMaxValue)
Generic matching function.
Definition: Utils.h:6
Definition: DDAxes.h:10