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Xiaocong Ai

Researcher at Lawrence Berkeley National Laboratory

Publications -  364
Citations -  8413

Xiaocong Ai is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 38, co-authored 236 publications receiving 5593 citations. Previous affiliations of Xiaocong Ai include Azerbaijan National Academy of Sciences & Universidade Nova de Lisboa.

Papers
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Journal ArticleDOI

Observation of a charged charmoniumlike structure in e+ e- → (D* D*)± π∓ at √s = 4.26 GeV.

M. Ablikim, +368 more
TL;DR: In this article, the process e(+)e(-) -> pi(+)pi(-) J/psi at a center-of-mass energy of 4.260 GeV using a 525 pb(-1) data sample collected with the BESIII detector operating at the Beijing Electron Positron Collider was studied.
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Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in √s = 13 TeV pp collisions using the ATLAS detector

Georges Aad, +2937 more
TL;DR: In this article, a search for the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented, based on 139.fb$^{-1}$ of proton-proton collisions recorded by the ATLAS detector at the Large Hadron Collider at
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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
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.
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ATLAS b-jet identification performance and efficiency measurement with tt¯ events in pp collisions at √s = 13 TeV

Georges Aad, +2964 more
TL;DR: In this article, the ATLAS Collaboration during Run 2 of the Large Hadron Collider (LHC) was used to identify jets containing b-hadrons, and the performance of the algorithms was evaluated in the s...