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Yanwen Liu

Researcher at Federal University of Rio de Janeiro

Publications -  108
Citations -  7967

Yanwen Liu is an academic researcher from Federal University of Rio de Janeiro. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 37, co-authored 108 publications receiving 6954 citations. Previous affiliations of Yanwen Liu include Oklahoma State University–Stillwater & University of Geneva.

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The ATLAS Experiment at the CERN Large Hadron Collider

Georges Aad, +3032 more
TL;DR: The ATLAS detector as installed in its experimental cavern at point 1 at CERN is described in this paper, where a brief overview of the expected performance of the detector when the Large Hadron Collider begins operation is also presented.
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Search for new high-mass phenomena in the dilepton final state using 36 fb−1 of proton-proton collision data at √s=13 TeV with the ATLAS detector

Morad Aaboud, +2947 more
- 08 Jul 2017 - 
TL;DR: In this article, a search for new resonant and non-resonant high-mass phenomena in dielectron and dimuon fi nal states was conducted using 36 : 1 fb(-1) of proton-proton collision data.
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Measurements of Higgs boson properties in the diphoton decay channel with 36 fb−1 of pp collision data at s√=13 TeV with the ATLAS detector

Morad Aaboud, +2929 more
- 18 Sep 2018 - 
TL;DR: In this paper, the properties of the Higgs boson were measured in the two-photon final state using 36.1 fb-1 of proton? proton collision data recorded at ffiffi √s = 13 TeV by the ATLAS experiment at the Large Hadron Collider.
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Search for high-mass dilepton resonances using 139 fb−1 of pp collision data collected at √s = 13 TeV with the ATLAS detector

Georges Aad, +3383 more
- 10 Sep 2019 - 
TL;DR: In this article, a search for high-mass dielectron and dimuon resonances in the mass range of 250 GeV to 6 TeV was performed at the Large Hadron Collider.
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Electron and photon performance measurements with the ATLAS detector using the 2015-2017 LHC proton-proton collision data

Georges Aad, +2965 more
- 10 Dec 2019 - 
TL;DR: In this article, an improved energy clustering algorithm is introduced, and its implications for the measurement and identification of prompt electrons and photons are discussed in detail, including corrections and calibrations that affect performance, including energy calibration, identification and isolation efficiencies.