A pattern recognition method for the RICH-based HMPID detector in ALICE

A pattern recognition method developed for the High Momentum Particle IDentification (HMPID) detector in the ALICE experiment at CERN is presented. The algorithm is based on the Hough transform with a mapping of the pad coordinate space directly to the Cherenkov angle parameter space. Cherenkov angl...

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Detalles Bibliográficos
Autores principales: Elia, D, Colonna, H, Cozza, D, Di Bari, D, Di Mauro, A, Morsch, Andreas, Nappi, E, Paic, G, Piuz, François, Stucchi, S, Tomasicchio, G
Lenguaje:eng
Publicado: 1999
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1016/S0168-9002(99)00307-1
http://cds.cern.ch/record/410847
Descripción
Sumario:A pattern recognition method developed for the High Momentum Particle IDentification (HMPID) detector in the ALICE experiment at CERN is presented. The algorithm is based on the Hough transform with a mapping of the pad coordinate space directly to the Cherenkov angle parameter space. Cherenkov angle reconstruction has been studied as a function of different particle densities in the photodetector using real data taken in the ALICE tests at the CERN SPS: a satisfactory resolution can be achieved even in events where the occupancy reaches more than 12, which is the situation we may be confronted with in central Pb-Pb interactions at LHC. (9 refs).

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