Details

Autor(en) / Beteiligte

• Apostolakis, J.
• Folger, G.
• Ribon, A.
• Sicking, E.
• Boumediene, D.
• Francais, V.
• Goto, K.
• Kawagoe, K.
• Kuhara, M.
• Suehara, T.
• Yoshioka, T.
• Pingault, A.
• Tytgat, M.
• Garillot, G.
• Grenier, G.
• Kurca, T.
• Laktineh, I.
• Liu, B.
• Li, B.
• Mirabito, L.
• Steen, A.
• Été, R.
• Krüger, K.
• Sefkow, F.
• Corriveau, F.
• Emberger, L.
• Graf, C.
• Simon, F.
• Pöschl, R.
• Kim, D.W.
• Park, S.W.
• Calvo Alamillo, E.
• Carrillo, C.
• Fouz, M.C.
• Garcia Cabrera, H.
• Marin, J.
• Navarrete, J.
• Puerta Pelayo, J.
• Verdugo, A.

Titel

Description and stability of a RPC-based calorimeter in electromagnetic and hadronic shower environments

Ist Teil von

• Journal of instrumentation, 2023-03, Vol.18 (3), p.P03035

Ort / Verlag

Bristol: IOP Publishing

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Abstract The CALICE Semi-Digital Hadron Calorimeter technological prototype completed in 2011 is a sampling calorimeter using Glass Resistive Plate Chamber (GRPC) detectors as the active medium. This technology is one of the two options proposed for the hadron calorimeter of the International Large Detector for the International Linear Collider. The prototype was exposed in 2015 to beams of muons, electrons, and pions of different energies at the CERN Super Proton Synchrotron. The use of this technology for future experiments requires a reliable simulation of its response that can predict its performance. GEANT4 combined with a digitization algorithm was used to simulate the prototype. It describes the full path of the signal: showering, gas avalanches, charge induction, and hit triggering. The simulation was tuned using muon tracks and electromagnetic showers for accounting for detector inhomogeneity and tested on hadronic showers collected in the test beam. This publication describes developments of the digitization algorithm. It is used to predict the stability of the detector performance against various changes in the data-taking conditions, including temperature, pressure, magnetic field, GRPC width variations, and gas mixture variations. These predictions are confronted with test beam data and provide an attempt to explain the detector properties. The data-taking conditions such as temperature and potential detector inhomogeneities affect energy density measurements but have small impact on detector efficiency.