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Taha Beyrouthy

Researcher at American University of the Middle East

Publications -  183
Citations -  871

Taha Beyrouthy is an academic researcher from American University of the Middle East. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 10, co-authored 62 publications receiving 324 citations. Previous affiliations of Taha Beyrouthy include American University & Grenoble Institute of Technology.

Papers
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Search for resonant and nonresonant new phenomena in high-mass dilepton final states at √s = 13 TeV

Albert M. Sirunyan, +2407 more
TL;DR: In this paper, a data set of proton-proton collisions collected by the CMS experiment at the LHC at s = 13 TeV from 2016 to 2018 corresponding to a total integrated luminosity of up to 140 fb−1 is analyzed.
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Precision luminosity measurement in proton-proton collisions at s=13TeV in 2015 and 2016 at CMS.

Albert M. Sirunyan, +2392 more
TL;DR: In this paper, the authors measured the absolute luminosity scale of individual bunch crossings using beam-separation scans (the van der Meer method), with a relative precision of 1.3 and 1.0% in 2015 and 2016, respectively.
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Analysis of the CP structure of the Yukawa coupling between the Higgs boson and τ leptons in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV

Armen Tumasyan, +2283 more
TL;DR: The first measurement of the structure of the Yukawa coupling between the Higgs boson and τ leptons is presented in this paper , based on data collected in proton-proton collisions at the LHC.
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Measurements of Higgs boson production cross sections and couplings in the diphoton decay channel at s√= 13 TeV

Albert M. Sirunyan, +2405 more
TL;DR: In this article, the authors measured the Higgs boson signal strength relative to the standard model (SM) prediction, including SM signal strength modifiers, production cross sections, and its couplings to other particles.
Proceedings ArticleDOI

EEG Mind controlled Smart Prosthetic Arm

TL;DR: Preliminary experimental results show that the proposed EEG Mind-controlled Arm is a promising alternative for current solutions that require invasive and expensive surgical procedures.