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Titolo:
A pattern recognition method for the RICH-based HMPID detector in ALICE
Autore:
Elia, D; Colonna, N; Cozza, D; Di Bari, D; Di Mauro, A; Morsch, A; Nappi, E; Paic, G; Piuz, F; Stucchi, S; Tomasicchio, G;
Indirizzi:
Dipartimento IA Fis, I-70126 Bari, Italy Dipartimento IA Fis Bari Italy I-70126 mento IA Fis, I-70126 Bari, Italy Ist Nazl Fis Nucl, Sez Bari, I-70126 Bari, Italy Ist Nazl Fis Nucl Bari Italy I-70126 Nucl, Sez Bari, I-70126 Bari, Italy CERN, Geneva, Switzerland CERN Geneva SwitzerlandCERN, Geneva, Switzerland Ohio State Univ, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 State Univ, Columbus, OH 43210 USA
Titolo Testata:
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
fascicolo: 1-2, volume: 433, anno: 1999,
pagine: 262 - 267
SICI:
0168-9002(19990821)433:1-2<262:APRMFT>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
9
Recensione:
Indirizzi per estratti:
Indirizzo: Elia, D Dipartimento IA Fis, I-70126 Bari, Italy Dipartimento IA Fis Bari Italy I-70126 Fis, I-70126 Bari, Italy
Citazione:
D. Elia et al., "A pattern recognition method for the RICH-based HMPID detector in ALICE", NUCL INST A, 433(1-2), 1999, pp. 262-267

Abstract

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. (C) 1999 Elsevier Science B.V. All rights reserved.

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Documento generato il 28/11/20 alle ore 09:45:26