Recognition of Cherenkov patterns in high multiplicity environments

An algorithm for the recognition of Cherenkov patterns based on the Hough Transform Method (HTM), modified for signals with intrinsic width in presence of background, is presented. The method basically consists in a mapping of the pad coordinate space directly to the Cherenkov angle parameter space...

Descripción completa

Detalles Bibliográficos
Autores principales: Cozza, D, Di Bari, D, Di Mauro, A, Elia, D, Morsch, Andreas, Nappi, E, Paic, G, Piuz, François
Lenguaje:eng
Publicado: 2001
Materias:
Particle Physics - Experiment
Acceso en línea:https://dx.doi.org/10.1016/S0168-9002(01)01625-4
http://cds.cern.ch/record/485618
_version_ 1780896932751736832
author Cozza, D
Di Bari, D
Di Mauro, A
Elia, D
Morsch, Andreas
Nappi, E
Paic, G
Piuz, François
author_facet Cozza, D
Di Bari, D
Di Mauro, A
Elia, D
Morsch, Andreas
Nappi, E
Paic, G
Piuz, François
author_sort Cozza, D
collection CERN
description An algorithm for the recognition of Cherenkov patterns based on the Hough Transform Method (HTM), modified for signals with intrinsic width in presence of background, is presented. The method basically consists in a mapping of the pad coordinate space 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 in the HMPID (High Momentum Particle IDentification) RICH detector prototype test beam.
id cern-485618
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2001
record_format invenio
spelling cern-4856182019-09-30T06:29:59Zdoi:10.1016/S0168-9002(01)01625-4http://cds.cern.ch/record/485618engCozza, DDi Bari, DDi Mauro, AElia, DMorsch, AndreasNappi, EPaic, GPiuz, FrançoisRecognition of Cherenkov patterns in high multiplicity environmentsParticle Physics - ExperimentAn algorithm for the recognition of Cherenkov patterns based on the Hough Transform Method (HTM), modified for signals with intrinsic width in presence of background, is presented. The method basically consists in a mapping of the pad coordinate space 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 in the HMPID (High Momentum Particle IDentification) RICH detector prototype test beam.CERN-ALI-2001-001CERN-ALICE-PUB-2001-001oai:cds.cern.ch:4856182001-01-31
spellingShingle Particle Physics - Experiment
Cozza, D
Di Bari, D
Di Mauro, A
Elia, D
Morsch, Andreas
Nappi, E
Paic, G
Piuz, François
Recognition of Cherenkov patterns in high multiplicity environments
title Recognition of Cherenkov patterns in high multiplicity environments
title_full Recognition of Cherenkov patterns in high multiplicity environments
title_fullStr Recognition of Cherenkov patterns in high multiplicity environments
title_full_unstemmed Recognition of Cherenkov patterns in high multiplicity environments
title_short Recognition of Cherenkov patterns in high multiplicity environments
title_sort recognition of cherenkov patterns in high multiplicity environments
topic Particle Physics - Experiment
url https://dx.doi.org/10.1016/S0168-9002(01)01625-4
http://cds.cern.ch/record/485618
work_keys_str_mv AT cozzad recognitionofcherenkovpatternsinhighmultiplicityenvironments
AT dibarid recognitionofcherenkovpatternsinhighmultiplicityenvironments
AT dimauroa recognitionofcherenkovpatternsinhighmultiplicityenvironments
AT eliad recognitionofcherenkovpatternsinhighmultiplicityenvironments
AT morschandreas recognitionofcherenkovpatternsinhighmultiplicityenvironments
AT nappie recognitionofcherenkovpatternsinhighmultiplicityenvironments
AT paicg recognitionofcherenkovpatternsinhighmultiplicityenvironments
AT piuzfrancois recognitionofcherenkovpatternsinhighmultiplicityenvironments

Ejemplares similares