{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/new-limits-on-light-dark-matter-proton-cross","title":"New limits on light dark matter - proton cross section from the cosmic large-scale structure","arxiv_id":"2111.10386","date":"2021-11-19","proceeding":null,"authors":["Keir K. Rogers","Cora Dvorkin","Hiranya V. Peiris"],"abstract":"We set the strongest limits to-date on the velocity-independent dark matter (DM) - proton cross section $\\sigma$ for DM masses $m = 10\\,\\mathrm{keV}$ to $100\\,\\mathrm{GeV}$, using large-scale structure traced by the Lyman-alpha forest: e.g., a 95% lower limit $\\sigma < 6 \\times 10^{-30}\\,\\mathrm{cm}^2$, for $m = 100\\,\\mathrm{keV}$. Our results complement direct detection, which has limited sensitivity to sub-GeV DM. We use an emulator of cosmological simulations, combined with data from the smallest cosmological scales used to-date, to model and search for the imprint of primordial DM-proton collisions. Cosmological bounds are improved by up to a factor of 25.","url_abs":"https://arxiv.org/abs/2111.10386v2","url_pdf":"https://arxiv.org/pdf/2111.10386v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"new-limits-on-light-dark-matter-proton-cross","repo_url":"https://github.com/MP-Gadget/MP-Gadget","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}