Transformer-Based Approach to Enhance Positron Tracking Performance in MEG II
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866911332617420800 |
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| author | Dispoto, Lapo Ignatov, Fedor Oya, Atsushi Uchiyama, Yusuke Venturini, Antoine |
| author_facet | Dispoto, Lapo Ignatov, Fedor Oya, Atsushi Uchiyama, Yusuke Venturini, Antoine |
| contents | We developed a Transformer-based pattern recognition method for positron track reconstruction in the MEG II experiment. The model acts as a classifier to remove pileup hits in the MEG II drift chamber, which operates under a high pileup occupancy of 35 - 50 %. The trained model significantly improved hit purity, leading to enhancements in tracking efficiency and resolution by 15 % and 5 %, respectively, at a muon stopping rate of $5\times 10^7 μ$/sec. This improvement translates into an approximately 10 % increase in the sensitivity of the $μ\to eγ$ branching ratio measurement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_19482 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Transformer-Based Approach to Enhance Positron Tracking Performance in MEG II Dispoto, Lapo Ignatov, Fedor Oya, Atsushi Uchiyama, Yusuke Venturini, Antoine High Energy Physics - Experiment Data Analysis, Statistics and Probability Instrumentation and Detectors We developed a Transformer-based pattern recognition method for positron track reconstruction in the MEG II experiment. The model acts as a classifier to remove pileup hits in the MEG II drift chamber, which operates under a high pileup occupancy of 35 - 50 %. The trained model significantly improved hit purity, leading to enhancements in tracking efficiency and resolution by 15 % and 5 %, respectively, at a muon stopping rate of $5\times 10^7 μ$/sec. This improvement translates into an approximately 10 % increase in the sensitivity of the $μ\to eγ$ branching ratio measurement. |
| title | Transformer-Based Approach to Enhance Positron Tracking Performance in MEG II |
| topic | High Energy Physics - Experiment Data Analysis, Statistics and Probability Instrumentation and Detectors |
| url | https://arxiv.org/abs/2512.19482 |