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Frank Ellinghaus

Researcher at University of Wuppertal

Publications -  1075
Citations -  90216

Frank Ellinghaus is an academic researcher from University of Wuppertal. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 135, co-authored 956 publications receiving 82266 citations. Previous affiliations of Frank Ellinghaus include Ilia State University & University of Colorado Boulder.

Papers
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Study of the rare decays of B s 0 and B 0 mesons into muon pairs using data collected during 2015 and 2016 with the ATLAS detector

Morad Aaboud, +3004 more
TL;DR: In this paper, the decays of B0 s! + and B0! + have been studied using 26 : 3 fb of 13TeV LHC proton-proton collision data collected with the ATLAS detector in 2015 and 2016.
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Performance of electron and photon triggers in ATLAS during LHC Run 2

Georges Aad, +2957 more
TL;DR: In this paper, the trigger algorithms and selection were optimized to control the rates while retaining a high efficiency for physics analyses at the ATLAS experiment to cope with a fourfold increase of peak LHC luminosity from 2015 to 2018 (Run 2), and a similar increase in the number of interactions per beam-crossing to about 60.
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J/ψ suppression at forward rapidity in Au + Au collisions at √sNN=200 GeV

A. Adare, +393 more
- 21 Nov 2011 - 
TL;DR: In this article, the PHENIX 2007 data set of J/psi yields at forward rapidity (1.2 < vertical bar y vertical bar < 2.2) in Au + Au collisions at root s(NN) = 200 GeV.
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Search for Heavy Higgs Bosons Decaying into Two Tau Leptons with the ATLAS Detector Using pp Collisions at s =13 TeV

Georges Aad, +2965 more
TL;DR: A search for heavy neutral Higgs bosons is performed using the LHC Run 2 data, corresponding to an integrated luminosity of 139 fb^{-1} of proton-proton collisions at sqrt[s]=13‬TeV recorded with the ATLAS detector.
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Measurement of inclusive jet and dijet cross sections in proton-proton collisions at 7 TeV centre-of-mass energy with the ATLAS detector

Georges Aad, +3166 more
TL;DR: In this article, the anti-kt algorithm is used to identify jets, with two jet resolution parameters, R = 0.4 and 0.6, and the dominant uncertainty comes from the jet energy scale, which is determined to within 7% for central jets above 60 GeV transverse momentum.