2020/11/30 by ATLAS Collaboration, G. Aad, B. Abbott +98
Physics and Astronomy · #ATLAS experiment #Atlas (anatomy) #Cosmology and Gravitation Theories #Dark Matter and Cosmic Phenomena #Dark matter #Electron #Higgs boson #Large Hadron Collider #Lepton #Muon #Nuclear physics #Particle physics #Particle physics theoretical and experimental studies #Physics #Pseudoscalar #Quark #Standard Model (mathematical formulation) #Top quark #hep-ex
paper · pdf · doi:10.1140/epjc/s10052-021-09566-y
published as Eur. Phys. J. C 81 (2021) 860 · 53 pages in total, author list starting page 37, 15 figures, 9 tables, published in Eur. Phys. J. C. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/EXOT-2018-43/
openalex created_date 2020/12/07 · openalex publication_date 2021/10/01 · arxiv created 2021/12/02 · arxiv updated 2021/12/03 · openalex updated_date 2026/08/06
Abstract This paper presents a search for dark matter in the context of a two-Higgs-doublet model together with an additional pseudoscalar mediator, a , which decays into the dark-matter particles. Processes where the pseudoscalar mediator is produced in association with a single top quark in the 2HDM+ a model are explored for the first time at the LHC. Several final states which include either one or two charged leptons (electrons or muons) and a significant amount of missing transverse momentum are considered. The analysis is based on proton–proton collision data collected with the ATLAS experiment at √(s) = 13 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msqrt> <mml:mi>s</mml:mi> </mml:msqrt> <mml:mo>=</mml:mo> <mml:mn>13</mml:mn> </mml:mrow> </mml:math> TeV during LHC Run 2 (2015–2018), corresponding to an integrated luminosity of 139 \hbox fb-1 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mtext>fb</mml:mtext> <mml:mrow> <mml:mo>-</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msup> </mml:math> . No significant excess above the Standard Model predictions is found. The results are expressed as 95% confidence-level limits on the parameters of the signal models considered.