Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data

• Published in: Journal of instrumentation 2023-11, Vol.18 (11), p.P11017
• Main Authors: Waltenberger, W., Janssen, T., Morton, A., Favart, L., Carvalho, W., Litov, L., Mittal, M., Zhao, J., Li, Q., Lu, M., Leggat, D., Lassila-Perini, K., Simkina, P., Sarkar, U., Apparu, D., Depasse, P., Stahl, A., Yang, Y., Zimermmane Castro Santos, A., Garbers, C., Panagiotou, A., Tziaferi, E., Bestintzanos, I., Chhetri, A., Bhattacharya, S., Naskar, K., Kar, C., Pompili, A., Battilana, C., Fanfani, A., Siroli, G.P., Pazzini, J., Zanetti, M., Aimè, C., Vitulo, P., Arcidiacono, R., Bellora, A., Maselli, S., Lee, K., Yoon, I., Lee, Y., Potrebko, A., Aguilar-Benitez, M., Piedra Gomez, J., Auffray, E., Bermúdez Martínez, A., David, A., Florent, A., Forthomme, L., Peruzzi, M., Petrilli, A., Horisberger, R., Sanz Becerra, D.A., Chao, Y., Levchuk, L., Salvi, G., Bonomally, S., Radburn-Smith, B.C., Scott, E., Tapper, A., Kanuganti, A.R., Benelli, G., Kwon, T., Wong, W.Y., Bachtis, M., Xie, S., Wagner, S.R., Patterson, J.R., Dickinson, J., Mantilla, C., McBride, P., Strait, J., Avery, P., Hagopian, V., Merlo, J.-P., Davis, J., Le Mahieu, C., Smith, C., Allmond, B., Modak, A., Baden, A., Palmer, C., D'Alfonso, M., Li, J., Goldouzian, R., Elmer, P., Stickland, D., Neumeister, N., Paspalaki, G., Baty, A., Garcia-Bellido, A., Sheldon, P., Velkovska, J., Cox, B., Savin, A., Dudko, L., Murzin, V., Skovpen, Y., Teryaev, O., Toropin, A.
• Format: Article
• Language: English
• Subjects: Algorithms; Calorimeters; Data reduction methods; INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Large Hadron Collider; PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; Protons; Reconstruction; Solenoids
• ISSN: 1748-0221; 1748-0221
• DOI: 10.1088/1748-0221/18/11/P11017

A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015–2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.