A new approach in modeling the response of RPC detectors

Authors :: 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.
Publication Year :: 2010
Abstract: 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.

Subjects :: Physics - Instrumentation and Detectors
High Energy Physics - Experiment

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