A new approach in modeling the response of RPC detectors

The response of RPC detectors is highly sensitive to environmental variables. A novel approach is presented to model the response of RPC detectors in a variety of experimental conditions. The algorithm, based on Artificial Neural Networks, has been developed and tested on the CMS RPC gas gain monito...

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Detalles Bibliográficos
Autores principales: Benussi, L, Bianco, S, Colafranceschi, S, Fabbri, F L, Giardoni, M, Passamonti, L, Piccolo, D, Pierluigi, D, Russo, A, Saviano, G, Buontempo, S, Cimmino, A, de Gruttola, M, Fabozzi, F, Iorio, A O M, Lista, L, Paolucci, P, Baesso, P, Belli, G, Pagano, D, Ratti, S P, Vicini, A, Vitulo, P, Viviani, C, Sharma, A, Bhattacharyya, A K
Lenguaje:eng
Publicado: 2010
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1016/j.nima.2010.09.172
http://cds.cern.ch/record/1317992
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author Benussi, L
Bianco, S
Colafranceschi, S
Fabbri, F L
Giardoni, M
Passamonti, L
Piccolo, D
Pierluigi, D
Russo, A
Saviano, G
Buontempo, S
Cimmino, A
de Gruttola, M
Fabozzi, F
Iorio, A O M
Lista, L
Paolucci, P
Baesso, P
Belli, G
Pagano, D
Ratti, S P
Vicini, A
Vitulo, P
Viviani, C
Sharma, A
Bhattacharyya, A K
author_facet Benussi, L
Bianco, S
Colafranceschi, S
Fabbri, F L
Giardoni, M
Passamonti, L
Piccolo, D
Pierluigi, D
Russo, A
Saviano, G
Buontempo, S
Cimmino, A
de Gruttola, M
Fabozzi, F
Iorio, A O M
Lista, L
Paolucci, P
Baesso, P
Belli, G
Pagano, D
Ratti, S P
Vicini, A
Vitulo, P
Viviani, C
Sharma, A
Bhattacharyya, A K
author_sort Benussi, L
collection CERN
description The response of RPC detectors is highly sensitive to environmental variables. A novel approach is presented to model the response of RPC detectors in a variety of experimental conditions. The algorithm, based on Artificial Neural Networks, has been developed and tested on the CMS RPC gas gain monitoring system during commissioning.
id cern-1317992
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2010
record_format invenio
spelling cern-13179922019-09-30T06:29:59Zdoi:10.1016/j.nima.2010.09.172http://cds.cern.ch/record/1317992engBenussi, LBianco, SColafranceschi, SFabbri, F LGiardoni, MPassamonti, LPiccolo, DPierluigi, DRusso, ASaviano, GBuontempo, SCimmino, Ade Gruttola, MFabozzi, FIorio, A O MLista, LPaolucci, PBaesso, PBelli, GPagano, DRatti, S PVicini, AVitulo, PViviani, CSharma, ABhattacharyya, A KA new approach in modeling the response of RPC detectorsDetectors and Experimental TechniquesThe response of RPC detectors is highly sensitive to environmental variables. A novel approach is presented to model the response of RPC detectors in a variety of experimental conditions. The algorithm, based on Artificial Neural Networks, has been developed and tested on the CMS RPC gas gain monitoring system during commissioning.arXiv:1012.5508oai:cds.cern.ch:13179922010-12-30
spellingShingle Detectors and Experimental Techniques
Benussi, L
Bianco, S
Colafranceschi, S
Fabbri, F L
Giardoni, M
Passamonti, L
Piccolo, D
Pierluigi, D
Russo, A
Saviano, G
Buontempo, S
Cimmino, A
de Gruttola, M
Fabozzi, F
Iorio, A O M
Lista, L
Paolucci, P
Baesso, P
Belli, G
Pagano, D
Ratti, S P
Vicini, A
Vitulo, P
Viviani, C
Sharma, A
Bhattacharyya, A K
A new approach in modeling the response of RPC detectors
title A new approach in modeling the response of RPC detectors
title_full A new approach in modeling the response of RPC detectors
title_fullStr A new approach in modeling the response of RPC detectors
title_full_unstemmed A new approach in modeling the response of RPC detectors
title_short A new approach in modeling the response of RPC detectors
title_sort new approach in modeling the response of rpc detectors
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1016/j.nima.2010.09.172
http://cds.cern.ch/record/1317992
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