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DivisiveVertexFinder.cc
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7 #include <utility>
8 #include <vector>
9 #include <map>
10 #include <algorithm>
11 #include <cmath>
12 
14  double zOffset, int ntrkMin,
15  bool useError, double zSeparation, bool wtAverage,
16  int verbosity)
17  : zOffset_(zOffset), zSeparation_(zSeparation), ntrkMin_(ntrkMin), useError_(useError),
18  wtAverage_(wtAverage),
19  divmeth_(zOffset, ntrkMin, useError, zSeparation, wtAverage),
20  verbose_(verbosity)
21 {
22 
23  pvComparer_ = new PVClusterComparer(track_pt_min, track_pt_max, track_chi2_max, track_prob_min);
24 
25 }
26 
28 
30  reco::VertexCollection &vertexes){ // output
32  Measurement1D vz;
33  if (wtAverage_) {
34  vz = pos.wtAverage(trks);
35  }
36  else {
37  vz = pos.average(trks);
38  }
40  err(2,2) = vz.error()*vz.error();
41 
42  reco::Vertex v( reco::Vertex::Point(0,0,vz.value()), err, 0, 1, trks.size() );
43  for (unsigned int i=0; i<trks.size(); i++) {
44  double vz = trks[i]->vz();
45  if(edm::isNotFinite(vz)) continue;
46  v.add(reco::TrackBaseRef(trks[i]));
47  }
48 
49  vertexes.push_back(v);
50 
51  return true;
52 }
53 
55  reco::VertexCollection &vertexes, const math::XYZPoint & bs){ // output
56  std::vector< PVCluster > in;
57  std::pair< std::vector< PVCluster >, std::vector< const reco::Track* > > out;
58 
59  // Convert input track collection into container needed by Wolfgang's templated code
60  // Need to save a map to reconvert from bare pointers, oy vey
61  std::map< const reco::Track*, reco::TrackRef > mapa;
62  // std::vector< std::vector< const reco::Track* > > trkps;
63  for (unsigned int i=0; i<trks.size(); ++i) {
64  double vz = trks[i]->vz();
65  if(edm::isNotFinite(vz)) continue;
66  std::vector< const reco::Track* > temp;
67  temp.clear();
68  temp.push_back( &(*trks[i]) );
69 
70  in.push_back( PVCluster( Measurement1D(trks[i]->dz(bs), trks[i]->dzError() ), temp ) );
71  mapa[temp[0]] = trks[i];
72  }
73 
74  if (verbose_ > 0 ) {
75  edm::LogInfo("DivisiveVertexFinder") << "size of input vector of clusters " << in.size();
76  for (unsigned int i=0; i<in.size(); ++i) {
77  edm::LogInfo("DivisiveVertexFinder") << "Track " << i << " addr " << in[i].tracks()[0]
78  << " dz " << in[i].tracks()[0]->dz(bs)
79  << " +- " << in[i].tracks()[0]->dzError()
80  << " prodID " << mapa[in[i].tracks()[0]].id()
81  << " dz from RefTrack " << mapa[in[i].tracks()[0]]->dz(bs)
82  << " +- " << mapa[in[i].tracks()[0]]->dzError();
83  }
84  }
85 
86  // Run the darn thing
88  out = divmeth_(in);
89 
90  if (verbose_ > 0) edm::LogInfo("DivisiveVertexFinder") << " DivisiveClusterizer1D found "
91  << out.first.size() << " vertexes";
92 
93  // Now convert the output yet again into something we can safely store in the event
94  for (unsigned int iv=0; iv<out.first.size(); ++iv) { // loop over output vertexes
96  err(2,2) = out.first[iv].position().error()*out.first[iv].position().error();
97 
98  reco::Vertex v( reco::Vertex::Point(0,0,out.first[iv].position().value()), err, 0, 1, out.second.size() );
99  if (verbose_ > 0 ) edm::LogInfo("DivisiveVertexFinder") << " DivisiveClusterizer1D vertex " << iv
100  << " has " << out.first[iv].tracks().size()
101  << " tracks and a position of " << v.z()
102  << " +- " << std::sqrt(v.covariance(2,2));
103  for (unsigned int itrk=0; itrk<out.first[iv].tracks().size(); ++itrk) {
104  v.add( reco::TrackBaseRef(mapa[out.first[iv].tracks()[itrk]] ) );
105  }
106  vertexes.push_back(v); // Done with horrible conversion, save it
107  }
108 
109  // Finally, sort the vertexes in decreasing sumPtSquared
110  // std::sort(vertexes.begin(), vertexes.end(), PVClusterComparer());
111  std::sort(vertexes.begin(), vertexes.end(), *pvComparer_);
112 
113  return true;
114 }
pixeltemp::DivisiveClusterizer1D< reco::Track > divmeth_
We use Wolfgang&#39;s templated class that implements the actual divisive method.
constexpr bool isNotFinite(T x)
Definition: isFinite.h:9
bool findVertexesAlt(const reco::TrackRefVector &trks, reco::VertexCollection &vertexes, const math::XYZPoint &bs)
PVClusterComparer * pvComparer_
double error() const
Definition: Measurement1D.h:27
math::Error< dimension >::type Error
covariance error matrix (3x3)
Definition: Vertex.h:43
std::vector< Vertex > VertexCollection
collection of Vertex objects
Definition: VertexFwd.h:9
T sqrt(T t)
Definition: SSEVec.h:18
math::XYZPoint Point
point in the space
Definition: Vertex.h:39
bool findVertexes(const reco::TrackRefVector &trks, reco::VertexCollection &vertexes)
Run the divisive algorithm and return a vector of vertexes for the input track collection.
Measurement1D average(const reco::TrackRefVector &trks) const
Calculate unweighted average of Z of tracks from const collection of track pointers.
XYZPointD XYZPoint
point in space with cartesian internal representation
Definition: Point3D.h:12
DivisiveVertexFinder(double track_pt_min, double track_pt_max, double track_chi2_max, double track_prob_min, double zOffset=5.0, int ntrkMin=5, bool useError=true, double zSeparation=0.05, bool wtAverage=true, int verbosity=0)
void setBeamSpot(const math::XYZPoint &bs)
double value() const
Definition: Measurement1D.h:25
size_type size() const
Size of the RefVector.
Definition: RefVector.h:107
Cluster1D< reco::Track > PVCluster
Definition: PVCluster.h:14
Measurement1D wtAverage(const reco::TrackRefVector &trks) const
Calculate Error-Weighted average of Z of tracks from const collection of track pointers.