Finding excesses in model parameter space

[2407.20329] Finding excesses in model parameter space Skip to main content Search Submit Donate Log in High Energy Physics - Phenomenology arXiv:2407.20329 (hep-ph) [Submitted on 29 Jul 2024 ( v1 ), last revised 26 Aug 2026 (this version, v2)] Title: Finding excesses in model parameter space Authors: Kierthika Chathirathas , Torben Ferber , Felix Kahlhoefer , Alessandro Morandini View PDF HTML (experimental) Abstract: Simulation-based inference (SBI) makes it possible to infer the parameters of a model from high-dimensional low-level features of the observed events. In this work we show how this method can be used to establish the presence of a weak signal on top of an unknown background, to discard background events and to determine the signal properties. The key idea is to use SBI methods to identify events that are similar to each other in the sense that they agree on the inferred model parameters. We illustrate this method for the case of axion-like particles decaying to photons at beam-dump experiments. For poor detector resolution the diphoton mass cannot be reliably reconstructed, so there is no simple high-level observable that can be used to perform a bump hunt. Since the SBI methods do not require explicit high-level observables, they offer a promising alternative to increase the sensitivity to new physics. Comments: 20 pages, 12 figures, code available at this https URL . Version published in Eur. Phys. J. C Subjects: High Energy Physics - Phenomenology (hep-ph) ; High Energy Physics - Experiment (hep-ex) Report number: TTP24-027, P3H-24-051 Cite as: arXiv:2407.20329 [hep-ph] (or arXiv:2407.20329v2 [hep-ph] for this version) https://doi.org/10.48550/arXiv.2407.20329 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Eur. Phys. J. C 85, 149 (2025) Related DOI : https://doi.org/10.1140/epjc/s10052-025-13795-w Focus to learn more DOI(s) linking to related resources Submission history From: Kierthika Chathirathas [ view email ] [v1] Mon, 29 Jul 2024 18:00:04 UTC (608 KB) [v2] Wed, 26 Aug 2026 21:02:55 UTC (513 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: hep-ph < prev | next > new | recent | 2024-07 Change to browse by: hep-ex References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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