Testing Hadronic Interaction Models using a Highly Granular Silicon-Tungsten Calorimeter

• Published in: arXiv.org
• Main Authors: The CALICE Collaboration, Bilki, B, Repond, J, Xia, L, Deng, Z, Y Li, Wang, Y, Yue, Q, Yang, Z, Price, T, Watson, N K, Thomson, M A, Ward, D R, Khoulaki, Y, Cârloganu, C, Khan, A, Kim, D H, Kong, D J, Oh, Y D, Blazey, G C, Francis, K, Lima, J G R, Zutshi, V, Misiejuk, A, Salvatore, F, Sudo, Y, Suehara, T, Tomita, T, Yoshioka, T, Apostolakis, J, Ivantchenko, V, Ribon, A, Uzhinskiy, V, Cauwenbergh, S, Tytgat, M, Zaganidis, N, J -Y Hostachy, Gadow, K, Göttlicher, P, Günter, C, Krüger, K, Lutz, B, Reinecke, M, Sefkow, F, Feege, N, Laurien, S, Matysek, M, Ramilli, M, Kaplan, A, Northacker, D, Onel, Y, B van Doren, Wing, M, Bobchenko, B, Chistov, R, Danilov, M, Drutskoy, A, Epifantsev, A, Markin, O, Mizuk, R, Popov, V, Rusinov, V, Tarkovsky, E, Besson, D, Popova, E, Gabriel, M, Simon, F, Soldner, C, Weuste, L, Amjad, M S, Callier, S, Cornebise, P, Doublet, Ph, Dulucq, F, Frisson, T, Kégl, B, van der Kolk, N, H Li, Martin-Chassard, G, Richard, F, Pöschl, R, Rouëné, J, Seguin-Moreau, N, Anduze, M, Becheva, E, Boudry, V, J-C Brient, Frotin, M, Gallus, P, Janata, M, Kvasnicka, J, Lednicky, D, Popule, J, Tomasek, M, Ruzicka, P, Sicho, P, Smolik, J, Vrba, V, Zalesak, J, Jeans, D
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 08.05.2015
• Subjects: Computer simulation; Interaction models; Mathematical models; Physics - High Energy Physics - Experiment; Physics - Instrumentation and Detectors; Silicon; Tungsten
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.1411.7215

A detailed study of hadronic interactions is presented using data recorded with the highly granular CALICE silicon-tungsten electromagnetic calorimeter. Approximately 350,000 selected negatively charged pion events at energies between 2 and 10 GeV have been studied. The predictions of several physics models available within the Geant4 simulation tool kit are compared to this data. A reasonable overall description of the data is observed; the Monte Carlo predictions are within 20% of the data, and for many observables much closer. The largest quantitative discrepancies are found in the longitudinal and transverse distributions of reconstructed energy.