M. De Gruttola
CERN
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Publication
Featured researches published by M. De Gruttola.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2012
L. Benussi; S. Bianco; S. Colafranceschi; F. Fabbri; F. Felli; M. Ferrini; M. Giardoni; T. Greci; A. Paolozzi; L. Passamonti; D. Piccolo; D. Pierluigi; Antonio 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; S. P. Ratti; A. Vicini; P. Vitulo; C. Viviani; R. Guida; Archana Sharma
Abstract The CMS RPC muon detector utilizes a gas recirculation system called closed loop (CL) to cope with large gas mixture volumes and costs. A systematic study of CL gas purifiers has been carried out over 400 days between July 2008 and August 2009 at CERN in a low-radiation test area, with the use of RPC chambers with currents monitoring, and gas analysis sampling points. The study aimed to fully clarify the presence of pollutants, the chemistry of purifiers used in the CL, and the regeneration procedure. Preliminary results on contaminants release and purifier characterization are reported.
Journal of Instrumentation | 2010
M. De Gruttola; S. Di Guida; D. Futyan; F. Glege; Giacomo Govi; V. Innocente; P. Paolucci; P. Picca; Antonio Pierro; D. Schlatter; Z. Xie
In the CMS experiment, the non event data needed to set up the detector, or being produced by it, and needed to calibrate the physical responses of the detector itself are stored in ORACLE databases. The large amount of data to be stored, the number of clients involved and the performance requirements make the database system an essential service for the experiment to run. This note describes the CMS condition database architecture, the data-flow and PopCon, the tool built in order to populate the offline databases. Finally, the first experience obtained during the 2008 and 2009 cosmic data taking are presented.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2012
L. Benussi; S. Bianco; S. Colafranceschi; F. Fabbri; M. Giardoni; L. Passamonti; D. Piccolo; D. Pierluigi; Antonio 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; S. P. Ratti; A. Vicini; P. Vitulo; C. Viviani; Archana Sharma; Anirban Krishna Bhattacharyya
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.
ieee-npss real-time conference | 2010
M. De Gruttola; S. Di Guida; V. Innocente; Antonio Pierro
