An algorithm for the recognition of Cherenkov patterns based on the Hough Transform Method is presented. It basically consists in a mapping of the pad coordinate apace directly to the Cherenkov angle parameter space with a crucial increase of performance in the treatment of different pattern shapes and amount of background, The method has been developed in the framework of the ALICE experiment at CERN. for the analysis of data taken with the High Momentum Particle Identification Detector RICH prototype in the test beam. (C) 2002 Elsevier Science B.V. All rights reserved.

Recognition of Cherenkov patterns in high multiplicity environments

DI BARI, Domenico;
2002-01-01

Abstract

An algorithm for the recognition of Cherenkov patterns based on the Hough Transform Method is presented. It basically consists in a mapping of the pad coordinate apace directly to the Cherenkov angle parameter space with a crucial increase of performance in the treatment of different pattern shapes and amount of background, The method has been developed in the framework of the ALICE experiment at CERN. for the analysis of data taken with the High Momentum Particle Identification Detector RICH prototype in the test beam. (C) 2002 Elsevier Science B.V. All rights reserved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/122462
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