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Momentum Measurement of Charged Particles in FASER's Emulsion Detector at the LHC

FASER Collaboration, Roshan Mammen Abraham, Xiaocong Ai, Saul Alonso Monsalve, John Anders, Emma Kate Anderson, Claire Antel, Akitaka Ariga, Tomoko Ariga, Jeremy Atkinson, Florian U. Bernlochner, Tobias Boeckh, Eliot Bornand, Jamie Boyd, Lydia Brenner, Angela Burger, Franck Cadoux, Roberto Cardella, David W. Casper, Charlotte Cavanagh, Shiyang Chen, Xin Chen, Xing Cheng, Kohei Chinone, Dhruv Chouhan, Andrea Coccaro, 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, Ali Garabaglu, 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, Takumi Kanai, Hiroaki Kawahara, Alex Keyken, Felix Kling, Daniela Köck, Pantelis Kontaxakis, Jelle Koorn, Umut Kose, Peter Krack, Susanne Kuehn, Thanushan Kugathasan, Sebastian Laudage, Lorne Levinson, Botao Li, Jinfeng Liu, Yi Liu, Margaret S. Lutz, Jack MacDonald, Joern Mahlstedt, Toni Mäkelä, Anna Mascellani, Lawson McCoy, Josh McFayden, Andrea Pizarro Medina, Théo Moretti, Keiko Moriyama, Toshiyuki Nakano, Laurie Nevay, Motoya Nonaka, Yuma Ohara, Ken Ohashi, Kazuaki Okui, 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, Mansoora Shamim, Yosuke Takubo, Noshin Tarannum, Simon Thor, Eric Torrence, Oscar Ivan Valdes Martinez, Svetlana Vasina, Benedikt Vormwald, Chi Wang, Yuxiao Wang, Eli Welch, Aaron White, Monika Wielers, Benjamin James Wilson, Yue Xu, Heng Yang, Lekai Yao, Daichi Yoshikawa, Stefano Zambito, Shunliang Zhang, Yuxuan Zhang, Xingyu Zhao, Zijian Zhao

Abstract

We present a momentum measurement method based on multiple Coulomb scattering (MCS) in the FASER$ν$ emulsion detector. The measurement of charged-particle momenta is essential for studying neutrino interactions in the TeV energy range at the FASER experiment. This method exploits the sub-micron spatial resolution and long tracking length of the FASER$ν$ detector, enabling momentum determination from a few GeV up to a few TeV. The performance was evaluated using Geant4-based Monte Carlo simulations and validated with muon test beam data in the momentum range 100-300 GeV. As a first probe of the method for higher momentum muons, background muons recorded by the FASER$ν$ detector were examined, showing reconstructed momenta consistent with expectations from their angular spread.

Momentum Measurement of Charged Particles in FASER's Emulsion Detector at the LHC

Abstract

We present a momentum measurement method based on multiple Coulomb scattering (MCS) in the FASER emulsion detector. The measurement of charged-particle momenta is essential for studying neutrino interactions in the TeV energy range at the FASER experiment. This method exploits the sub-micron spatial resolution and long tracking length of the FASER detector, enabling momentum determination from a few GeV up to a few TeV. The performance was evaluated using Geant4-based Monte Carlo simulations and validated with muon test beam data in the momentum range 100-300 GeV. As a first probe of the method for higher momentum muons, background muons recorded by the FASER detector were examined, showing reconstructed momenta consistent with expectations from their angular spread.
Paper Structure (8 sections, 5 equations, 13 figures, 2 tables)

This paper contains 8 sections, 5 equations, 13 figures, 2 tables.

Figures (13)

  • Figure 1: Left: The second difference in $n_{\mathrm{cell}}$. Right: The schematic view of $n_{cell}$ = 1-3 and the shift of 1 plate when calculating the second difference (dotted line).
  • Figure 2: Examples of $s^{\mathrm{RMS}}$ measurements and momentum fitting for single tracks. Left: $p_{\mathrm{true}}$ = 100 GeV. Right: $p_{\mathrm{true}}$ = 1000 GeV. The black points are measured $s^{\mathrm{RMS}}$ (µm) for each cell length and red line is the fit of the function in \ref{['eq:srms']}. The black bars represent the effective statistical weights. In the fitting procedure, $1/w(n_{\mathrm{cell}})$ is used for each data point. $p_{\mathrm{rec}}$ = 102 GeV for $p_{\mathrm{true}}$ = 100 GeV, and 1002 GeV for 1000 GeV. For this example, the tracks are generated with Geant4 Geant4:2003, following the same setup as in \ref{['sec:Evaluation']}, are used. A total of 100 plates are considered, with a position smearing of $\sigma_{\mathrm{pos}}$ = 0.3µm and a base-track reconstruction efficiency of 90%.
  • Figure 3: Left: reconstructed momentum ($p_{\mathrm{rec}}$) distribution. Right: $1/p_{\mathrm{rec}}$ distribution. Both are for a single-energy MC sample with a true momentum of 2000 GeV. If the reconstructed momentum exceeded 7 TeV, it was set to 7 TeV. The red line in the right panel indicates a Gaussian fit performed within a range of the mean $\pm$ 1.5 RMS of the distribution, excluding tracks with $p_{\mathrm{rec}} = 7$ TeV.
  • Figure 4: The relative offset (left), resolution (center), and success rate (right) as a function of $p_{\mathrm{true}}$. Black circles, blue squares, and red triangles correspond to $n_{\mathrm{cell}}^{\mathrm{max}}$ = 16, 24, and 32, respectively. The relative offset is defined as $(p_{\mathrm{center}} - p_{\mathrm{true}})/p_{\mathrm{true}}$, and the success rate represents the fraction of tracks reconstructed with momenta below 7 TeV for each $p_{\mathrm{true}}$.
  • Figure 5: $p_{\mathrm{rec}}$ as a function of $p_{\mathrm{true}}$ using $n_{\mathrm{cell}}^{\mathrm{max}}$ = 24. The MC simulation assumes a flat momentum distribution from 1 GeV to 3000 GeV. The colour scale represents the number of entries in each bin. The black line indicates $p_{\mathrm{rec}} = p_{\mathrm{true}}$, and the red profile histograms show the $p_{\mathrm{center}}$ values with 1$\sigma$ uncertainties for each 100 GeV bin.
  • ...and 8 more figures