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.
@article{arxiv.1012.5508,
title = {A new approach in modeling the response of RPC detectors},
author = {L. Benussi and S. Bianco and S. Colafranceschi and F. L. Fabbri and M. Giardoni and L. Passamonti and D. Piccolo and D. Pierluigi and A. Russo and G. Saviano and S. Buontempo and A. Cimmino and M. de Gruttola and F Fabozzi and A. O. M. Iorio and L. Lista and P. Paolucci and P. Baesso and G. Belli and D. Pagano and S. P. Ratti and A. Vicini and P. Vitulo and C. Viviani and A. Sharma and A. K. Bhattacharyya},
journal= {arXiv preprint arXiv:1012.5508},
year = {2010}
}