ML-based muon identification using a FNAL-NICADD scintillator chamber for the MID subsystem of ALICE 3

Abstract The ALICE Collaboration is planning to construct a new detector (ALICE 3) aiming at exploiting the potential of the high-luminosity Large Hadron Collider (LHC). The new detector will allow ALICE to participate in LHC Run 5 scheduled from 2036 to 2041. The muon-identifier subsystem (MID) is part of the ALICE 3 reference detector layout. The MID will consist of a standard magnetic iron absorber (≈4 nuclear interaction lengths) followed by muon chambers. The baseline option for the MID chambers considers plastic scintillation bars equipped with wave-length shifting fibers and readout with silicon photomultipliers. This paper reports on the performance of a MID chamber prototype using 3 GeV/ c pion- and muon-enriched beams delivered by the CERN Proton Synchrotron (PS). The prototype was built using extruded plastic scintillator produced by FNAL-NICADD (Fermi National Accelerator Laboratory - Northern Illinois Center for Accelerator and Detector Development). The prototype was experimentally evaluated using varying absorber thicknesses (60, 70, 80, 90, and 100 cm) to assess its performance. The analysis was performed using Machine Learning techniques and the performance was validated with GEANT 4 simulations. Potential improvements in both hardware and data analysis are discussed.

Authors

Institutions

Publication Details

Journal
Journal of Instrumentation
Published
2025-09-01
DOI
https://doi.org/10.1088/1748-0221/20/09/p09015
Citations
1
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
1.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ML-based muon identification using a FNAL-NICADD scintillator chamber for the MID subsystem of ALICE 3

Hector David Règules Medel, Paola Vargas Torres, A. Fernández Téllez, J. E. M. Mendez et al.
1 citations
Journal of Instrumentation
Particle physics theoretical and experimental studies
1.87
article

ML-based muon identification using a FNAL-NICADD scintillator chamber for the MID subsystem of ALICE 3

Hector David Règules Medel, Paola Vargas Torres, A. Fernández Téllez, J. E. M. Mendez, G. Tejeda Muñoz, Edmundo García Solis, Varlen Grabski, Róbert Vértesi, M. Rodríguez Cahuantzi, Solangel Rojas Torres, Yael Antonio Vásquez Beltran, A. Ortiz Velasquez, Antonio Paz, D. Varga, L. H. González-Trueba, R. Alfaro Molina, Juan Carlos Cabanillas Noris, G. G. Barnaföldi, Dániel Száraz
article en
1 citations

Abstract

Abstract The ALICE Collaboration is planning to construct a new detector (ALICE 3) aiming at exploiting the potential of the high-luminosity Large Hadron Collider (LHC). The new detector will allow ALICE to participate in LHC Run 5 scheduled from 2036 to 2041. The muon-identifier subsystem (MID) is part of the ALICE 3 reference detector layout. The MID will consist of a standard magnetic iron absorber (≈4 nuclear interaction lengths) followed by muon chambers. The baseline option for the MID chambers considers plastic scintillation bars equipped with wave-length shifting fibers and readout with silicon photomultipliers. This paper reports on the performance of a MID chamber prototype using 3 GeV/ c pion- and muon-enriched beams delivered by the CERN Proton Synchrotron (PS). The prototype was built using extruded plastic scintillator produced by FNAL-NICADD (Fermi National Accelerator Laboratory - Northern Illinois Center for Accelerator and Detector Development). The prototype was experimentally evaluated using varying absorber thicknesses (60, 70, 80, 90, and 100 cm) to assess its performance. The analysis was performed using Machine Learning techniques and the performance was validated with GEANT 4 simulations. Potential improvements in both hardware and data analysis are discussed.

Journal of InstrumentationVol. 20(09)
Instituto Tecnológico de Culiacán (MX), Tecnológico Nacional de México (MX), HUN-REN Wigner Research Centre for Physics (HU), Czech Technical University in Prague (CZ), Benemérita Universidad Autónoma de Puebla (MX), Chicago State University (US), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 12%
Particle physics theoretical and experimental studies
1.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.