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HK: Fachverband Physik der Hadronen und Kerne
HK 63: Schwerionenkollisionen und QCD Phasen
HK 63.2: Vortrag
Donnerstag, 7. März 2013, 14:30–14:45, HSZ-204
Detector Independent Cellular Automaton Algorithm for Track Reconstruction — Ivan Kisel1,2,3, •Igor Kulakov1,2,3, and Maksym Zyzak1,2,3 — 1Goethe-Universitat Frankfurt am Main — 2Frankfurt Institute for Advanced Studies — 3GSI Helmholtzzentrum fur Schwerionenforschung GmbH
Track reconstruction is one of the most challenging problems of data analysis in modern high energy physics (HEP) experiments, which have to process per second of the order of 107 events with high track multiplicity and density, registered by detectors of different types and, in many cases, located in non-homogeneous magnetic field. Creation of reconstruction package common for all experiments is considered to be important in order to consolidate efforts.
The cellular automaton (CA) track reconstruction approach has been used successfully in many HEP experiments. It is very simple, efficient, local and parallel. Meanwhile it is intrinsically independent of detector geometry and good candidate for common track reconstruction.
The CA implementation for the CBM experiment has been generalized and applied to the ALICE ITS and STAR HFT detectors. Tests with simulated collisions have been performed. The track reconstruction efficiencies are at the level of 95% for majority of the signal tracks for all detectors.
Supported by EU-FP7 HadronPhysics3, HIC for FAIR, HGS-HIRe for FAIR and Hessischen Ministerium fuer Wissenschaft und Kunst gefoerdert.