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Alessandro Gabrielli

Researcher at University of Bologna

Publications -  713
Citations -  37150

Alessandro Gabrielli is an academic researcher from University of Bologna. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 91, co-authored 564 publications receiving 31901 citations. Previous affiliations of Alessandro Gabrielli include Parthenope University of Naples & Istituto Nazionale di Fisica Nucleare.

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Combined Measurement of the Higgs Boson Mass in pp Collisions at √s=7 and 8 TeV with the ATLAS and CMS Experiments

Georges Aad, +5120 more
TL;DR: A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels.
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The ALICE experiment at the CERN LHC

K. Aamodt, +1154 more
TL;DR: The Large Ion Collider Experiment (ALICE) as discussed by the authors is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model.
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Combined measurements of Higgs boson production and decay using up to 80 fb− 1 of proton-proton collision data at √s=13 TeV collected with the ATLAS experiment

Georges Aad, +2937 more
- 03 Jan 2020 - 
TL;DR: Combined measurements of Higgs boson production cross sections and branching fractions arc are presented in this paper, based on the analyses of the Higgs particle decay modes H -> gamma gamma, ZZ...
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Performance of the ATLAS trigger system in 2015

Morad Aaboud, +2848 more
TL;DR: This paper presents a short overview of the changes to the trigger and data acquisition systems during the first long shutdown of the LHC and shows the performance of the trigger system and its components based on the 2015 proton–proton collision data.
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Muon reconstruction performance of the ATLAS detector in proton–proton collision data at √ s =13 TeV

Georges Aad, +2831 more
TL;DR: In this article, the performance of the ATLAS muon identification and reconstruction using the first LHC dataset recorded at s√ = 13 TeV in 2015 was evaluated using the Monte Carlo simulations.