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Dark matter interpretations of ATLAS searches for the electroweak production of supersymmetric particles in s√=8 TeV proton-proton collisions
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Fysiska sektionen, Institutionen för fysik och astronomi, Högenergifysik.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Fysiska sektionen, Institutionen för fysik och astronomi, Högenergifysik.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Fysiska sektionen, Institutionen för fysik och astronomi, Högenergifysik.
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Antal upphovsmän: 2855
2016 (Engelska)Ingår i: Journal of High Energy Physics (JHEP), ISSN 1126-6708, E-ISSN 1029-8479, nr 9, 175Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

A selection of searches by the ATLAS experiment at the LHC for the electroweak production of SUSY particles are used to study their impact on the constraints on dark matter candidates. The searches use 20 fb−1 of proton-proton collision data at s√=8 TeV. A likelihood-driven scan of a five-dimensional effective model focusing on the gaugino-higgsino and Higgs sector of the phenomenological minimal supersymmetric Standard Model is performed. This scan uses data from direct dark matter detection experiments, the relic dark matter density and precision flavour physics results. Further constraints from the ATLAS Higgs mass measurement and SUSY searches at LEP are also applied. A subset of models selected from this scan are used to assess the impact of the selected ATLAS searches in this five-dimensional parameter space. These ATLAS searches substantially impact those models for which the mass m(χ~01) of the lightest neutralino is less than 65 GeV, excluding 86% of such models. The searches have limited impact on models with larger m(χ~01) due to either heavy electroweakinos or compressed mass spectra where the mass splittings between the produced particles and the lightest supersymmetric particle is small.

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2016. nr 9, 175
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URN: urn:nbn:se:uu:diva-317750DOI: 10.1007/JHEP09(2016)175ISI: 000391734800001OAI: oai:DiVA.org:uu-317750DiVA: diva2:1082734
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ATLAS Collaboration, for complete list of authors see http://dx.doi.org/10.1007/JHEP09(2016)175

Funding:We thank CERN for the very successful operation of the LHC, as well as the support stafrom our institutions without whom ATLAS could not be operated eciently.We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Aus-tralia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq andFAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOSTand NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR,Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France;GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong KongSAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS,Japan; CNRST, Morocco; FOM and NWO, Netherlands; RCN, Norway; MNiSW and NCN,Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Fed-eration; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF,South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSFand Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC,United Kingdom; DOE and NSF, United States of America. In addition, individual groupsand members have received support from BCKDF, the Canada Council, CANARIE, CRC,Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada; EPLANET, ERC,FP7, Horizon 2020 and Marie Sk lodowska-Curie Actions, European Union; Investissementsd'Avenir Labex and Idex, ANR, Region Auvergne and Fondation Partager le Savoir, France;DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-nanced by EU-ESF and the Greek NSRF; BSF, GIF and Minerva, Israel; BRF, Norway;Generalitat de Catalunya, Generalitat Valenciana, Spain; the Royal Society and Lever-hulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully,in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF(Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL(U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Ma-jor contributors of computing resources are listed in ref. [104].

Tillgänglig från: 2017-03-17 Skapad: 2017-03-17 Senast uppdaterad: 2017-11-29Bibliografiskt granskad

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