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A NEW APPROACH IN MODELING THE RESPONSE OF RPC DETECTORS

The response of RPC detectors is highly sensitive to environmental parameters. 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 m...

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Detalles Bibliográficos
Autores principales: Benussi, Luigi, Bianco, Stefano, Fabbri, Fabrizio, Colafranceschi, Stefano, Piccolo, Davide, Saviano, Giovanna, Bhattacharyya, Anirban Krishna, Sharma, Abhishek
Lenguaje:eng
Publicado: 2010
Materias:
Acceso en línea:http://cds.cern.ch/record/1290990
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author Benussi, Luigi
Bianco, Stefano
Fabbri, Fabrizio
Colafranceschi, Stefano
Piccolo, Davide
Saviano, Giovanna
Bhattacharyya, Anirban Krishna
Sharma, Abhishek
author_facet Benussi, Luigi
Bianco, Stefano
Fabbri, Fabrizio
Colafranceschi, Stefano
Piccolo, Davide
Saviano, Giovanna
Bhattacharyya, Anirban Krishna
Sharma, Abhishek
author_sort Benussi, Luigi
collection CERN
description The response of RPC detectors is highly sensitive to environmental parameters. 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-1290990
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2010
record_format invenio
spelling cern-12909902019-09-30T06:29:59Zhttp://cds.cern.ch/record/1290990engBenussi, LuigiBianco, StefanoFabbri, FabrizioColafranceschi, StefanoPiccolo, DavideSaviano, GiovannaBhattacharyya, Anirban KrishnaSharma, AbhishekA NEW APPROACH IN MODELING THE RESPONSE OF RPC DETECTORSDetectors and Experimental TechniquesThe response of RPC detectors is highly sensitive to environmental parameters. 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.CMS-NOTE-2010-009oai:cds.cern.ch:12909902010-02-09
spellingShingle Detectors and Experimental Techniques
Benussi, Luigi
Bianco, Stefano
Fabbri, Fabrizio
Colafranceschi, Stefano
Piccolo, Davide
Saviano, Giovanna
Bhattacharyya, Anirban Krishna
Sharma, Abhishek
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 http://cds.cern.ch/record/1290990
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