ML-based muon identification using a FNAL-NICADD scintillator chamber for the MID subsystem of ALICE 3
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908534345564160 |
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| author | Mendez, Jesus Eduardo Muñoz Ortiz, Antonio Jimenez, Alom Antonio Paz Torres, Paola Vargas Molina, Ruben Alfaro Trueba, Laura Helena González Grabski, Varlen Tellez, Arturo Fernandez Medel, Hector David Regules Cahuantzi, Mario Rodriguez Muñoz, Guillermo Tejeda Beltran, Yael Antonio Vasquez Noris, Juan Carlos Cabanillas Torres, Solangel Rojas Barnafoldi, Gergely Gabor Szaraz, Daniel Varga, Dezso Vertesi, Robert Solis, Edmundo Garciaa |
| author_facet | Mendez, Jesus Eduardo Muñoz Ortiz, Antonio Jimenez, Alom Antonio Paz Torres, Paola Vargas Molina, Ruben Alfaro Trueba, Laura Helena González Grabski, Varlen Tellez, Arturo Fernandez Medel, Hector David Regules Cahuantzi, Mario Rodriguez Muñoz, Guillermo Tejeda Beltran, Yael Antonio Vasquez Noris, Juan Carlos Cabanillas Torres, Solangel Rojas Barnafoldi, Gergely Gabor Szaraz, Daniel Varga, Dezso Vertesi, Robert Solis, Edmundo Garciaa |
| contents | 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 ($\approx4$ 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02817 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ML-based muon identification using a FNAL-NICADD scintillator chamber for the MID subsystem of ALICE 3 Mendez, Jesus Eduardo Muñoz Ortiz, Antonio Jimenez, Alom Antonio Paz Torres, Paola Vargas Molina, Ruben Alfaro Trueba, Laura Helena González Grabski, Varlen Tellez, Arturo Fernandez Medel, Hector David Regules Cahuantzi, Mario Rodriguez Muñoz, Guillermo Tejeda Beltran, Yael Antonio Vasquez Noris, Juan Carlos Cabanillas Torres, Solangel Rojas Barnafoldi, Gergely Gabor Szaraz, Daniel Varga, Dezso Vertesi, Robert Solis, Edmundo Garciaa Instrumentation and Detectors High Energy Physics - Experiment 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 ($\approx4$ 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. |
| title | ML-based muon identification using a FNAL-NICADD scintillator chamber for the MID subsystem of ALICE 3 |
| topic | Instrumentation and Detectors High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2507.02817 |