No Track left behind: Graph-based Vertexing for long-lived Particle Reconstruction
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911187780763648 |
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| author | Kriewald, Jonathan |
| author_facet | Kriewald, Jonathan |
| contents | Reconstruction of displaced vertices is a cornerstone of both precision flavour physics and searches for long-lived particles (LLPs) at colliders. While existing vertexing algorithms are highly optimised for primary and short-lived secondary vertices, they face limitations when confronted with the large displacements and heterogeneous topologies characteristic of LLP decays. In this work we present a new approach to displaced vertex reconstruction combining an initialisation-free robust vertex fitter with a graph-based track clustering strategy. The algorithm is implemented as a self-contained Delphes module and can be straightforwardly integrated into existing detector cards, providing a turn-key tool for phenomenological studies. This plug-and-play functionality fills a gap left by public software frameworks, which either lack displaced-vertex capabilities or are not readily usable in fast-simulation environments. We validate our approach in an IDEA-like FCC-ee detector, using Higgs-strahlung $e^+e^- \to Zh$ with exotic $h\to NN$ decays as a benchmark process. We demonstrate excellent efficiency, resolution, and purity across a broad range of lifetimes, and derive model-independent projections for the FCC-ee sensitivity to exotic Higgs branching fractions. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_00856 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | No Track left behind: Graph-based Vertexing for long-lived Particle Reconstruction Kriewald, Jonathan High Energy Physics - Phenomenology High Energy Physics - Experiment Reconstruction of displaced vertices is a cornerstone of both precision flavour physics and searches for long-lived particles (LLPs) at colliders. While existing vertexing algorithms are highly optimised for primary and short-lived secondary vertices, they face limitations when confronted with the large displacements and heterogeneous topologies characteristic of LLP decays. In this work we present a new approach to displaced vertex reconstruction combining an initialisation-free robust vertex fitter with a graph-based track clustering strategy. The algorithm is implemented as a self-contained Delphes module and can be straightforwardly integrated into existing detector cards, providing a turn-key tool for phenomenological studies. This plug-and-play functionality fills a gap left by public software frameworks, which either lack displaced-vertex capabilities or are not readily usable in fast-simulation environments. We validate our approach in an IDEA-like FCC-ee detector, using Higgs-strahlung $e^+e^- \to Zh$ with exotic $h\to NN$ decays as a benchmark process. We demonstrate excellent efficiency, resolution, and purity across a broad range of lifetimes, and derive model-independent projections for the FCC-ee sensitivity to exotic Higgs branching fractions. |
| title | No Track left behind: Graph-based Vertexing for long-lived Particle Reconstruction |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2510.00856 |