Learning to Reconstruct Quirky Tracks
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914101456797696 |
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| author | Sha, Qiyu Murnane, Daniel Fieg, Max Tong, Shelley Zakharyan, Mark Fang, Yaquan Whiteson, Daniel |
| author_facet | Sha, Qiyu Murnane, Daniel Fieg, Max Tong, Shelley Zakharyan, Mark Fang, Yaquan Whiteson, Daniel |
| contents | Analysis of data from particle physics experiments traditionally sacrifices some sensitivity to new particles for the sake of practical computability, effectively ignoring some potentially striking signatures. However, recent advances in ML-based tracking allow for new inroads into previously inaccessible territory, such as reconstruction of tracks which do not follow helical trajectories. This paper presents a demonstration of the capacity of ML-based tracking to reconstruct the oscillating trajectories of quirks. The technique used is not specific to quirks, and opens the door to a program of searching for many kinds of non-standard tracks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_00269 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Learning to Reconstruct Quirky Tracks Sha, Qiyu Murnane, Daniel Fieg, Max Tong, Shelley Zakharyan, Mark Fang, Yaquan Whiteson, Daniel High Energy Physics - Experiment High Energy Physics - Phenomenology Analysis of data from particle physics experiments traditionally sacrifices some sensitivity to new particles for the sake of practical computability, effectively ignoring some potentially striking signatures. However, recent advances in ML-based tracking allow for new inroads into previously inaccessible territory, such as reconstruction of tracks which do not follow helical trajectories. This paper presents a demonstration of the capacity of ML-based tracking to reconstruct the oscillating trajectories of quirks. The technique used is not specific to quirks, and opens the door to a program of searching for many kinds of non-standard tracks. |
| title | Learning to Reconstruct Quirky Tracks |
| topic | High Energy Physics - Experiment High Energy Physics - Phenomenology |
| url | https://arxiv.org/abs/2410.00269 |