Generative Unfolding of Jets and Their Substructure
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911254140944384 |
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| author | Petitjean, Antoine Butter, Anja Greif, Kevin Schweitzer, Sofia Palacios Plehn, Tilman Spinner, Jonas Whiteson, Daniel |
| author_facet | Petitjean, Antoine Butter, Anja Greif, Kevin Schweitzer, Sofia Palacios Plehn, Tilman Spinner, Jonas Whiteson, Daniel |
| contents | Unfolding, for example of distortions imparted by detectors, provides suitable and publishable representations of LHC data. Many methods for unbinned and high-dimensional unfolding using machine learning have been proposed, but no generative method scales to the several hundred dimensions necessary to fully characterize LHC collisions. This paper proposes a 3-stage generative unfolding framework that is capable of unfolding several hundred dimensions. It is effective to unfold the jet-level kinematics as well as the full substructure of light-flavor jets and of top jets, and is the first generative unfolding study to achieve high precision on high-dimensional jet substructure. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_19906 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Generative Unfolding of Jets and Their Substructure Petitjean, Antoine Butter, Anja Greif, Kevin Schweitzer, Sofia Palacios Plehn, Tilman Spinner, Jonas Whiteson, Daniel High Energy Physics - Phenomenology High Energy Physics - Experiment Unfolding, for example of distortions imparted by detectors, provides suitable and publishable representations of LHC data. Many methods for unbinned and high-dimensional unfolding using machine learning have been proposed, but no generative method scales to the several hundred dimensions necessary to fully characterize LHC collisions. This paper proposes a 3-stage generative unfolding framework that is capable of unfolding several hundred dimensions. It is effective to unfold the jet-level kinematics as well as the full substructure of light-flavor jets and of top jets, and is the first generative unfolding study to achieve high precision on high-dimensional jet substructure. |
| title | Generative Unfolding of Jets and Their Substructure |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2510.19906 |