Example processor that does a simple nearest neighbour (NN) clustering on one or more CalorimeterHit collections. More...
#include <NNClusterProcessor.h>
Inheritance diagram for NNClusterProcessor:
Public Member Functions | |
| virtual Processor * | newProcessor () |
| virtual void | init () |
| Called at the begin of the job before anything is read. More... | |
| virtual void | processRunHeader (LCRunHeader *run) |
| Called for every run. | |
| virtual void | processEvent (LCEvent *evt) |
| Called for every event - the working horse. | |
| virtual void | check (LCEvent *evt) |
| virtual void | end () |
| Called after data processing for clean up. | |
Protected Attributes | |
| StringVec | _colNames {} |
| Input collection name. | |
| std::string | _outputColName {} |
| float | _distCut {} |
| float | _eCut {} |
| int | _nThetaPhi {} |
| int | _nRun {} |
| int | _nEvt {} |
Detailed Description
Example processor that does a simple nearest neighbour (NN) clustering on one or more CalorimeterHit collections.
It uses a simple euclididan distance cut.
- Parameters
-
HitCollections - Name of the input collection(s) (CalorimeterHit) OutputCollection - Name of the output collection (Cluster) DistanceCut - Cut for distance between hits in mm EnergyCut - Cut for hit energy in GeV
- Version
- $Id$
Member Function Documentation
|
virtual |
Called at the begin of the job before anything is read.
Use to initialize the processor, e.g. book histograms.
The documentation for this class was generated from the following file:
