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dc.contributor.authorAbercrombie, Daniel Robert
dc.contributor.authorAllen, Brandon Leigh
dc.contributor.authorGomez-Ceballos, Guillelmo
dc.contributor.authorDemiragli, Zeynep
dc.contributor.authorHsu, Dylan George
dc.contributor.authorIiyama, Yutaro
dc.contributor.authorKovalskyi, Dmytro
dc.contributor.authorNarayanan, Siddharth Madhavan
dc.contributor.authorPaus, Christoph M. E.
dc.date.accessioned2021-10-27T19:54:01Z
dc.date.available2021-10-27T19:54:01Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/133656
dc.description.abstract© 2019 The Authors This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches. A prioritized, compact set of benchmark models is proposed, accompanied by studies of the parameter space of these models and a repository of generator implementations. This report also addresses how to apply the Effective Field Theory formalism for collider searches and present the results of such interpretations.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.DARK.2019.100371
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElsevier
dc.titleDark Matter benchmark models for early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Nuclear Science
dc.relation.journalPhysics of the Dark Universe
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2020-11-20T14:17:43Z
dspace.orderedauthorsAbercrombie, D; Akchurin, N; Akilli, E; Maestre, JA; Allen, B; Gonzalez, BA; Andrea, J; Arbey, A; Azuelos, G; Azzi, P; Backović, M; Bai, Y; Banerjee, S; Beacham, J; Belyaev, A; Boveia, A; Brennan, AJ; Buchmueller, O; Buckley, MR; Busoni, G; Buttignol, M; Cacciapaglia, G; Caputo, R; Carpenter, L; Castro, NF; Ceballos, GG; Cheng, Y; Chou, JP; Gonzalez, AC; Cowden, C; D’Eramo, F; De Cosa, A; De Gruttola, M; De Roeck, A; De Simone, A; Deandrea, A; Demiragli, Z; DiFranzo, A; Doglioni, C; du Pree, T; Erbacher, R; Erdmann, J; Fischer, C; Flaecher, H; Fox, PJ; Fuks, B; Genest, M-H; Gomber, B; Goudelis, A; Gramling, J; Gunion, J; Hahn, K; Haisch, U; Harnik, R; Harris, PC; Hoepfner, K; Hoh, SY; Hsu, DG; Hsu, S-C; Iiyama, Y; Ippolito, V; Jacques, T; Ju, X; Kahlhoefer, F; Kalogeropoulos, A; Kaplan, LS; Kashif, L; Khoze, VV; Khurana, R; Kotov, K; Kovalskyi, D; Kulkarni, S; Kunori, S; Kutzner, V; Lee, HM; Lee, S-W; Liew, SP; Lin, T; Lowette, S; Madar, R; Malik, S; Maltoni, F; Perez, MM; Mattelaer, O; Mawatari, K; McCabe, C; Megy, T; Morgante, E; Mrenna, S; Moon, C-S; Narayanan, SM; Nelson, A; Novaes, SF; Padeken, KO; Pani, P; Papucci, M; Paulini, M; Paus, C; Pazzini, J; Penning, B; Peskin, ME; Pinna, D; Procura, M; Qazi, SF; Racco, D; Re, E; Riotto, A; Rizzo, TG; Roehrig, R; Salek, D; Pineda, AS; Sarkar, S; Schmidt, A; Schramm, SR; Shepherd, W; Singh, G; Soffi, L; Srimanobhas, N; Sung, K; Tait, TMP; Theveneaux-Pelzer, T; Thomas, M; Tosi, M; Trocino, D; Undleeb, S; Vichi, A; Wang, F; Wang, L-T; Wang, R-J; Whallon, N; Worm, S; Wu, M; Wu, SL; Yang, H; Yang, Y; Yu, S-S; Zaldivar, B; Zanetti, M; Zhang, Z; Zucchetta, A
dspace.date.submission2020-11-20T14:17:46Z
mit.journal.volume27
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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