{"paper":{"title":"Report of the Topical Group on Particle Dark Matter for Snowmass 2021","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.CO","astro-ph.HE","hep-ex"],"primary_cat":"hep-ph","authors_text":"Aaron Manalaysay, Aditya Parikh, Alden Fan, Alexander St J. Murphy, Aritoki Suzuki, Benjamin V. Lehmann, Ben Loer, Brandon M. Roach, Cecilia Levy, C.E. Dahl, Ciaran A. J. O'Hare, C. J Martoff, Cristano Galbiati, Daniel Baxter, Daniel Carney, Daniel S. Akerib, David A. Williams, Doojin Kim, Edoardo Vitagliano, Gensheng Wang, Geon-Bo Kim, Gopolang Mohlabeng, Graciela B. Gelmini, Graham K. Giovanetti, Guillaume Giroux, Harry N. Nelson, Jodi Cooley, Jong-Chul Park, J. Patrick Harding, Kelly Stifter, Kerstin Perez, K.J. Palladino, Kuver Sinha, Lauren Hsu, Liang Yang, Luca Grandi, Maria Lu\\'isa Sarsa, M.E. Monzani, M. Szydagis, Nirmal Raj, Noah Kurinsky, Philip von Doetinchem, Priscilla Cushman, Rafael F. Lang, Ray Bunker, Rebecca K. Leane, Richard Gaitskell, Richard Schnee, Rouven Essig, Russell Neilson, Sally Shaw, Scott Haselschwardt, Scott Kravitz, Seodong Shin, S. E. Vahsen, Shawn Westerdale, Shengchao Li, Shunsaku Horiuchi, Stefano Profumo, Susana Cebri\\'an, Tarek Saab, Thomas Y. Chen, Tien-Tien Yu, Tim M.P. Tait, Tongyan Lin, Torsten Bringmann, Tracy R. Slatyer, Tsuguo Aramaki, V. A. Kudryavtsev, Volodymyr Takhistov, W. Hugh Lippincott, Xin Xiang, Yonatan Kahn, Yu-Dai Tsai","submitted_at":"2022-09-15T16:17:12Z","abstract_excerpt":"This report summarizes the findings of the CF1 Topical Subgroup to Snowmass 2021, which was focused on particle dark matter. One of the most important scientific goals of the next decade is to reveal the nature of dark matter (DM). To accomplish this goal, we must delve deep, to cover high priority targets including weakly-interacting massive particles (WIMPs), and search wide, to explore as much motivated DM parameter space as possible. A diverse, continuous portfolio of experiments at large, medium, and small scales that includes both direct and indirect detection techniques maximizes the pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.07426","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2209.07426/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}