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Sune Jakobsen

Researcher at CERN

Publications -  1021
Citations -  77657

Sune Jakobsen is an academic researcher from CERN. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 126, co-authored 949 publications receiving 69914 citations. Previous affiliations of Sune Jakobsen include Federal University of Rio de Janeiro & University of Copenhagen.

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Search for new phenomena in events with three charged leptons at root s=7 TeV with the ATLAS detector

Georges Aad, +2922 more
- 04 Mar 2013 - 
TL;DR: In this paper, a generic search for anomalous production of events with at least three charged leptons is presented, using a pp-collision data sample at a center-of-mass energy of root s = 7 TeV corresp...
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Search for anomalous production of prompt like-sign lepton pairs at √s =7 TeV with the ATLAS detector

Georges Aad, +2944 more
TL;DR: In this article, an inclusive search for anomalous production of two prompt, isolated leptons with the same electric charge was performed in a data sample corresponding to 4.7 fb(-1) of integrated luminosity collected in 2011 at root s = 7TeV with the ATLAS detector at the LHC.
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Measurement of ψ(2 S) production cross-sections in proton-proton collisions at √s=7 and 13TeV

Roel Aaij, +858 more
TL;DR: In this article, the cross-sections of ψ(2 S) meson production in proton-proton collisions at s=13TeV are measured with a data sample collected by the LHCb detector corresponding to an integrated luminosity of 275pb-1.
Journal ArticleDOI

First Direct Observation of Collider Neutrinos with FASER at the LHC

TL;DR: The first direct observation of neutrino interactions at a particle collider experiment was reported in this article, where neutrinos and anti-neutrinos were observed with an energy of significantly above 200 GeV.
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Erratum to ATLAS Run 1 searches for direct pair production of third-generation squarks at the Large Hadron Collider ATLAS Collaboration (Eur. Phys. J. C, (2015), 75, (510), DOI 10.1140/epjc/s10052-015-3726-9)

Georges Aad, +2842 more
TL;DR: In this article, the authors proposed a method to find the optimal set of features for each node in a set of images, which can be found under doi:10.1140/epjc/s10052-015-3726-9