| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1824064 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2012 | 4 Pages |
Abstract
The behavior of RPC detectors is highly sensitive to environmental variables. A novel approach is presented to model the behavior 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.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Instrumentation
Authors
L. Benussi, S. Bianco, S. Colafranceschi, F.L. Fabbri, M. Giardoni, L. Passamonti, D. Piccolo, D. Pierluigi, A. Russo, G. Saviano, S. Buontempo, A. Cimmino, M. de Gruttola, F. Fabozzi, A.O.M. Iorio, L. Lista, P. Paolucci, P. Baesso, G. Belli, D. Pagano,