Development of clustering algorithms for Compressed Baryonic Matter experiment
- 14 Downloads
A clustering problem for the coordinate detectors in the Compressed Baryonic Matter (CBM) experiment is discussed. Because of the high interaction rate and huge datasets to be dealt with, clustering algorithms are required to be fast and efficient and capable of processing events with high track multiplicity. At present there are two different approaches to the problem. In the first one each fired pad bears information about its charge, while in the second one a pad can or cannot be fired, thus rendering the separation of overlapping clusters a difficult task. To deal with the latter, two different clustering algorithms were developed, integrated into the CBMROOT software environment, and tested with various types of simulated events. Both of them are found to be highly efficient and accurate.
KeywordsCluster Algorithm Nucleus Letter Interaction Rate Vertex Detector Huge Dataset
Unable to display preview. Download preview PDF.
- 1.Compressed Baryonic Matter in Laboratory Experiments, The CBM Physics Book (2011). http://wwwalt.gsi.de/documents/DOC-2009-Sep-120-1.pdf
- 4.GEM based R&D for Muon Chambers of CBM experiment at FAIR (2013). http://indico.cern.ch/getFile.py/access?contribId=63&sessionId=12&resId=1&materialId=slides&confId=258852).
- 5.Samir Amar-Youcef: Design and performance studies of the Micro-Vertex-Detector for the CBM experiment at FAIR (2011). https://www-alt.gsi.de/documents/DOC-2012-May-10-1.pdf