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Titolo:
CHERENKOV RING FITTING TECHNIQUES FOR THE CERES RICH DETECTORS
Autore:
AGAKICHIEV G; DREES A; GLASSEL P; IRMSCHER D; OSOSKOV GA; PANEBRATTSEV Y; PFEIFFER A; SPECHT HJ; STEINER V; TSERRUYA I; ULLRICH T;
Indirizzi:
UNIV HEIDELBERG,NEUENHEIMER FELD 230 D-69120 HEIDELBERG GERMANY UNIV HEIDELBERG D-69120 HEIDELBERG GERMANY JOINT INST NUCL RES DUBNA 141980 RUSSIA WEIZMANN INST SCI IL-76100 REHOVOT ISRAEL
Titolo Testata:
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment
fascicolo: 1-2, volume: 371, anno: 1996,
pagine: 243 - 247
SICI:
0168-9002(1996)371:1-2<243:CRFTFT>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
5
Recensione:
Indirizzi per estratti:
Citazione:
G. Agakichiev et al., "CHERENKOV RING FITTING TECHNIQUES FOR THE CERES RICH DETECTORS", Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 371(1-2), 1996, pp. 243-247

Abstract

The CERES experiment studies the production of low-mass electron pairs in proton-proton, proton-nucleus and nucleus-nucleus collisions at the CERN-SPS. Particle identification and momentum measurement are solely based on two azimuthally symmetric RICH detectors. The off-line reconstruction of electron rings has to be preformed without prior knowledge of the cherenkov ring centers, a demand which is unique as compared to other RICH applications using the rings for particle identification or rejection only. During the last years the CERES collaboration has developed several algorithms to cope with the problems of ring recognition in a background-contaminated environment. Here we report on encouraging experiences with the robust ring fitting technique based on areweighted least-squares method and compare its performance with previously used algorithms based on the minimization of summed Gaussian weights.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 02/10/20 alle ore 01:24:02