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Search for strongly interacting massive particles generating trackless jets in proton–proton collisions at s=13TeV.

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Title: Search for strongly interacting massive particles generating trackless jets in proton–proton collisions at s=13TeV.
Authors: Tumasyan, A.1 (AUTHOR), Adam, W.2 (AUTHOR), Bergauer, T.2 (AUTHOR), Dragicevic, M.2 (AUTHOR), Erö, J.2 (AUTHOR), Del Valle, A. Escalante2 (AUTHOR), Frühwirth, R.2,3 (AUTHOR), Jeitler, M.2,3 (AUTHOR), Krammer, N.2 (AUTHOR), Lechner, L.2 (AUTHOR), Liko, D.2 (AUTHOR), Mikulec, I.2 (AUTHOR), Pitters, F. M.2 (AUTHOR), Rad, N.2 (AUTHOR), Schieck, J.2,3 (AUTHOR), Schöfbeck, R.2 (AUTHOR), Spanring, M.2 (AUTHOR), Templ, S.2 (AUTHOR), Waltenberger, W.2 (AUTHOR), Wulz, C.-E.2,3 (AUTHOR)
Source: European Physical Journal C -- Particles & Fields. Mar2022, Vol. 82 Issue 3, p1-57. 57p.
Abstract: 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 16.1 fb - 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 100 GeV are excluded and further sensitivity is explored towards higher masses. [ABSTRACT FROM AUTHOR]
Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Search for strongly interacting massive particles generating trackless jets in proton–proton collisions at s=13TeV.
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  Data: <searchLink fieldCode="AR" term="%22Tumasyan%2C+A%2E%22">Tumasyan, A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adam%2C+W%2E%22">Adam, W.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bergauer%2C+T%2E%22">Bergauer, T.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dragicevic%2C+M%2E%22">Dragicevic, M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Erö%2C+J%2E%22">Erö, J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Del+Valle%2C+A%2E+Escalante%22">Del Valle, A. Escalante</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Frühwirth%2C+R%2E%22">Frühwirth, R.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jeitler%2C+M%2E%22">Jeitler, M.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Krammer%2C+N%2E%22">Krammer, N.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lechner%2C+L%2E%22">Lechner, L.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liko%2C+D%2E%22">Liko, D.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mikulec%2C+I%2E%22">Mikulec, I.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pitters%2C+F%2E+M%2E%22">Pitters, F. M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rad%2C+N%2E%22">Rad, N.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schieck%2C+J%2E%22">Schieck, J.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schöfbeck%2C+R%2E%22">Schöfbeck, R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Spanring%2C+M%2E%22">Spanring, M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Templ%2C+S%2E%22">Templ, S.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Waltenberger%2C+W%2E%22">Waltenberger, W.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wulz%2C+C%2E-E%2E%22">Wulz, C.-E.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Physical+Journal+C+--+Particles+%26+Fields%22">European Physical Journal C -- Particles & Fields</searchLink>. Mar2022, Vol. 82 Issue 3, p1-57. 57p.
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  Data: 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 16.1 fb - 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 100 GeV are excluded and further sensitivity is explored towards higher masses. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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