Algorithms for Achieving Subpixel Resolution in Muon Tomography
Fuente:
arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866918261756526592 |
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| author | Romano, Matthew Mark Bae, JungHyun Cantonwine, Paul |
| author_facet | Romano, Matthew Mark Bae, JungHyun Cantonwine, Paul |
| contents | We show that machine learning methods produce superior particle position reconstruction accuracy in scintillation-based detectors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_20644 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Algorithms for Achieving Subpixel Resolution in Muon Tomography Romano, Matthew Mark Bae, JungHyun Cantonwine, Paul Instrumentation and Detectors We show that machine learning methods produce superior particle position reconstruction accuracy in scintillation-based detectors. |
| title | Algorithms for Achieving Subpixel Resolution in Muon Tomography |
| topic | Instrumentation and Detectors |
| url | https://arxiv.org/abs/2512.20644 |