GLOW: A Unified Particle Flow Transformer
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915466625155072 |
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| author | Kobylianskii, Dmitrii Van Stroud, Samuel Wong, Kwok Yiu Hart, Max Dreyer, Etienne Gross, Eilam Facini, Gabriel Scanlon, Tim |
| author_facet | Kobylianskii, Dmitrii Van Stroud, Samuel Wong, Kwok Yiu Hart, Max Dreyer, Etienne Gross, Eilam Facini, Gabriel Scanlon, Tim |
| contents | We present GLOW, a transformer-based particle flow model that combines incidence matrix supervision from HGPflow with a MaskFormer architecture. Evaluated on CLIC detector simulations, GLOW achieves state-of-the-art performance and, together with prior work, demonstrates that a single unified transformer architecture can effectively address diverse reconstruction tasks in particle physics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_20092 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | GLOW: A Unified Particle Flow Transformer Kobylianskii, Dmitrii Van Stroud, Samuel Wong, Kwok Yiu Hart, Max Dreyer, Etienne Gross, Eilam Facini, Gabriel Scanlon, Tim High Energy Physics - Experiment High Energy Physics - Phenomenology We present GLOW, a transformer-based particle flow model that combines incidence matrix supervision from HGPflow with a MaskFormer architecture. Evaluated on CLIC detector simulations, GLOW achieves state-of-the-art performance and, together with prior work, demonstrates that a single unified transformer architecture can effectively address diverse reconstruction tasks in particle physics. |
| title | GLOW: A Unified Particle Flow Transformer |
| topic | High Energy Physics - Experiment High Energy Physics - Phenomenology |
| url | https://arxiv.org/abs/2508.20092 |