Research output: Contribution to journal › Article › peer-review
Search for strongly interacting massive particles generating trackless jets in proton–proton collisions at √s=13TeV. / The CMS collaboration.
In: European Physical Journal C, Vol. 82, No. 3, 213, 03.2022.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Search for strongly interacting massive particles generating trackless jets in proton–proton collisions at √s=13TeV
AU - The CMS collaboration
AU - Tumasyan, A.
AU - Adam, W.
AU - Bergauer, T.
AU - Dragicevic, M.
AU - Erö, J.
AU - Del Valle, A. Escalante
AU - Frühwirth, R.
AU - Jeitler, M.
AU - Krammer, N.
AU - Lechner, L.
AU - Liko, D.
AU - Mikulec, I.
AU - Pitters, F. M.
AU - Rad, N.
AU - Schieck, J.
AU - Schöfbeck, R.
AU - Spanring, M.
AU - Templ, S.
AU - Waltenberger, W.
AU - Wulz, C. E.
AU - Zarucki, M.
AU - Chekhovsky, V.
AU - Litomin, A.
AU - Makarenko, V.
AU - Gonzalez, J. Suarez
AU - Darwish, M. R.
AU - De Wolf, E. A.
AU - Croce, D. Di
AU - Janssen, X.
AU - Kello, T.
AU - Lelek, A.
AU - Pieters, M.
AU - Sfar, H. Rejeb
AU - Van Haevermaet, H.
AU - Van Mechelen, P.
AU - Van Putte, S.
AU - Van Remortel, N.
AU - Blekman, F.
AU - Bols, E. S.
AU - Chhibra, S. S.
AU - D’Hondt, J.
AU - De Clercq, J.
AU - Lontkovskyi, D.
AU - Lowette, S.
AU - Marchesini, I.
AU - Blinov, V.
AU - Dimova, T.
AU - Kardapoltsev, L.
AU - Ovtin, I.
AU - Skovpen, Y.
N1 - Funding Information: We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centres and personnel of the Worldwide LHC Computing Grid and other centres for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the Marie-Curie programme and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 765710 and 824093 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science – EOS" – be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG), under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe" – 390833306, and under project number 400140256 - GRK2497; the Lendület (“Momentum") Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Science and Higher Education and the National Science Center, contracts Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861 (Poland); the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Higher Education, project no. 0723-2020-0041 (Russia); the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA). Publisher Copyright: © 2022, The Author(s).
PY - 2022/3
Y1 - 2022/3
N2 - A search for dark matter in the form of strongly interacting massive particles (SIMPs) using the CMS detector at the LHC is presented. The SIMPs would be produced in pairs that manifest themselves as pairs of jets without tracks. The energy fraction of jets carried by charged particles is used as a key discriminator to suppress efficiently the large multijet background, and the remaining background is estimated directly from data. The search is performed using proton–proton collision data corresponding to an integrated luminosity of 16.1fb-1, collected with the CMS detector in 2016. No significant excess of events is observed above the expected background. For the simplified dark matter model under consideration, SIMPs with masses up to 100GeV are excluded and further sensitivity is explored towards higher masses.
AB - A search for dark matter in the form of strongly interacting massive particles (SIMPs) using the CMS detector at the LHC is presented. The SIMPs would be produced in pairs that manifest themselves as pairs of jets without tracks. The energy fraction of jets carried by charged particles is used as a key discriminator to suppress efficiently the large multijet background, and the remaining background is estimated directly from data. The search is performed using proton–proton collision data corresponding to an integrated luminosity of 16.1fb-1, collected with the CMS detector in 2016. No significant excess of events is observed above the expected background. For the simplified dark matter model under consideration, SIMPs with masses up to 100GeV are excluded and further sensitivity is explored towards higher masses.
UR - http://www.scopus.com/inward/record.url?scp=85141009993&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/4dffbe4e-80ea-375b-8cba-aeecd32499a6/
U2 - 10.1140/epjc/s10052-022-10095-5
DO - 10.1140/epjc/s10052-022-10095-5
M3 - Article
C2 - 35302730
AN - SCOPUS:85141009993
VL - 82
JO - European Physical Journal C
JF - European Physical Journal C
SN - 1434-6044
IS - 3
M1 - 213
ER -
ID: 38746783