9 "iter0",
"iter1",
"iter2",
"iter3",
"iter4",
"iter5",
"iter6",
"iter7",
"iter8",
"iter9",
"iter10",
10 "outInEcalSeededConv",
"inOutEcalSeededConv",
12 "standAloneMuon",
"globalMuon",
"cosmicStandAloneMuon",
"cosmicGlobalMuon",
13 "iter1LargeD0",
"iter2LargeD0",
"iter3LargeD0",
"iter4LargeD0",
"iter5LargeD0",
21 chi2_(0), vertex_(0,0,0), momentum_(0,0,0), ndof_(0), charge_(0), algorithm_(undefAlgorithm), quality_(0), nLoops_(0) {
31 chi2_( chi2 ), vertex_( vertex ), momentum_( momentum ), ndof_( ndof ), charge_( charge ), algorithm_(algorithm), quality_(0), nLoops_(nloops) {
< trclass="colgroup">< tdclass="colgroup"colspan=5 > Ecal cluster collections</td ></tr >< tr >< td >< ahref="classreco_1_1BasicCluster.html"> reco::BasicCluster</a ></td >< td >< ahref="DataFormats_EgammaReco.html"> reco::BasicClusterCollection</a ></td >< td >< ahref="#"> hybridSuperClusters</a ></td >< tdclass="description"> Basic clusters reconstructed with hybrid algorithm(barrel only)</td >< td >S.Rahatlou</td ></tr >< tr >< td >< a href
unsigned int index
index type
TrackBase()
default constructor
TrackQuality
track quality
void find(edm::Handle< EcalRecHitCollection > &hits, DetId thisDet, std::vector< EcalRecHitCollection::const_iterator > &hit, bool debug=false)
TrackAlgorithm
track algorithm
void setQuality(const TrackQuality, bool set=true)
static const std::string qualityNames[]
PerigeeCovarianceMatrix & fillCovariance(PerigeeCovarianceMatrix &v, const float *data)
math::XYZPoint Point
point in the space
static TrackQuality qualityByName(const std::string &name)
~TrackBase()
virtual destructor
tuple idx
DEBUGGING if hasattr(process,"trackMonIterativeTracking2012"): print "trackMonIterativeTracking2012 D...
This class analyses the reconstruction quality for a given track.
static const std::string algoNames[]
float covariance_[covarianceSize]
perigee 5x5 covariance matrix
CovarianceMatrix & fill(CovarianceMatrix &v) const
fill SMatrix
static TrackAlgorithm algoByName(const std::string &name)
math::XYZVector Vector
spatial vector
tuple size
Write out results.
math::Error< dimension >::type CovarianceMatrix
5 parameter covariance matrix