Accès ouvert déclaré
2026
preprint
Electromagnetic Shower Reconstruction and Identification in FASER's Emulsion Detector for LHC Forward Neutrino Measurements
FASER Collaboration, Roshan Mammen Abraham, Xiaocong Ai, Saul Alonso Monsalve, John Anders, Emma Kate Anderson, Akitaka Ariga, Tomoko Ariga, Jeremy Atkinson, Florian U. Bernlochner, Jianming Bian, Tobias Boeckh, Eliot Bornand, Jamie Boyd, Lydia Brenner, Angela Burger, Franck Cadoux, Roberto Cardella, David W. Casper, Charlotte Cavanagh, S K Chen, Xin Chen, X.H. Cheng, Dhruv Chouhan, Andrea Coccaro, Fabio Cufino, Stephane Débieux, Ansh Desai, Sergey Dmitrievsky, Radu Dobre, Monica D'Onofrio, Sinead Eley, Yannick Favre, Jonathan L. Feng, Carlo Alberto Fenoglio, Didier Ferrere, Max Fieg, Wissal Filali, Elena Firu, Haruhi Fujimori, Edward Galantay, Stephen Gibson, Sergio Gonzalez-Sevilla, Yuri Gornushkin, Yotam Granov, Jinjing Gu, Carl Gwilliam, Elie Hammou, Daiki Hayakawa, Michael Holzbock, Shih-Chieh Hsu, Zhen Hu, Giuseppe Iacobucci, Tomohiro Inada, Luca Iodice, Sune Jakobsen, Cesar Jesus-Valls, Arash Jofrehei, Hans Joos, Enrique Kajomovitz, Alex Keyken, Felix Kling, Daniela Köck, Pantelis Kontaxakis, Jelle Koorn, U. Köse, Peter Krack, Susanne Kuehn, Thanushan Kugathasan, Sebastian Laudage, Lorne Levinson, Botao Li, Jiaxi Liu, Jinfeng Liu, Yi Liu, Margaret S. Lutz, J. Mahlstedt, Toni Mäkelä, Yasuhiro Maruya, Anna Mascellani, Lawson McCoy, Josh McFayden, Andrea Pizarro Medina, H. Menjo, Théo Moretti, Toshiyuki Nakano, Laurie Nevay, Yuma Ohara, Ken Ohashi, Hidetoshi Otono, Lorenzo Paolozzi, Annabelle Parry, Pawan Pawan, Brian Petersen, Titi Preda, Markus Prim, Junkai Qin, Michaela Queitsch-Maitland, Juan Rojo, Hiroki Rokujo, André Rubbia, Osamu Sato, Paola Scampoli, Kristof Schmieden, Matthias Schott, Cristiano Sebastiani, Anna Sfyrla, Davide Sgalaberna, M. Shamim, Yosuke Takubo, Kakeru Tanaka, Noshin Tarannum, Simon Thor, Eric Torrence, S. Tufanli, Oscar Ivan Valdes Martinez, Svetlana Vasina, Emanuele Villa, Benedikt Vormwald, Chi Wang, Yuxiao Wang, Eli Welch, Aaron White, Monika Wielers, Benjamin James Wilson, Zhongyi Wu, Yan Xu, Heng Yang, Lekai Yao, Daichi Yoshikawa, Stefano Zambito, Shunliang Zhang, Yuxuan Zhang, X Zhao, Z. Zhao
0Citations signalées — pas une note de qualité
34Institutions déclarées
13Pays d’affiliation déclarés
Résumé fourni par la source
We present methods for electromagnetic shower reconstruction and identification in the FASERnu emulsion detector using 100 GeV and 200 GeV electron test-beam data from the CERN SPS H4 beamline. The reconstruction employs a clustering-based algorithm without energy-dependent tuning to determine shower axes. A multi-level identification chain comprising track pre-selection, a cut-based selection, and a BDT classifier achieves combined background rejection rates of 99.99% (100 GeV) and 99.94% (200 GeV). The method reaches total reconstruction and identification efficiencies of 58.9% (100 GeV) and 70.8% (200 GeV) evaluated from simulated samples. Energy reconstruction using the total number of reconstructed segments as the calorimetric estimator yields relative biases of +0.6% (100 GeV) and -0.8% (200 GeV), with resolutions of 25.4% and 22.6%, respectively. Systematic uncertainties on the energy reconstruction are dominated by variations in emulsion film detection efficiency, with totals of (+10.9%/-8.2%) at 100 GeV and (+10.3%/-6.9%) at 200 GeV. The methodology provides a validated framework for electron neutrino identification with the FASERnu detector at the LHC.
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Sujets associés
Particle physics theoretical and experimental studiesNeutrino Physics ResearchAstrophysics and Cosmic Phenomena