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Shahzad Ali

Researcher at Academia Sinica

Publications -  91
Citations -  1785

Shahzad Ali is an academic researcher from Academia Sinica. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 16, co-authored 86 publications receiving 830 citations.

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Search for Heavy Higgs Bosons Decaying into Two Tau Leptons with the ATLAS Detector Using pp Collisions at s =13 TeV

Georges Aad, +2965 more
TL;DR: A search for heavy neutral Higgs bosons is performed using the LHC Run 2 data, corresponding to an integrated luminosity of 139 fb^{-1} of proton-proton collisions at sqrt[s]=13‬TeV recorded with the ATLAS detector.
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Jet energy scale and resolution measured in proton-proton collisions at s =13 TeV with the ATLAS detector

Georges Aad, +3011 more
TL;DR: In this article, the ATLAS particle-flow reconstruction method is used to reconstruct the topo-clusters of the proton-proton collision data with a center-of-mass energy of 13$ TeV collected by the LHC.
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A search for the dimuon decay of the Standard Model Higgs boson with the ATLAS detector

Georges Aad, +2922 more
- 10 Jan 2021 - 
TL;DR: In this article, a search for the dimuon decay of the Standard Model (SM) Higgs boson is performed using data corresponding to an integrated luminosity of 139 −fb−1 collected with the ATLAS detector in Run 2 pp collisions at s = 13 TeV at the Large Hadron Collider.
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Dijet Resonance Search with Weak Supervision Using √S=13 TeV pp Collisions in the ATLAS Detector

Georges Aad, +2960 more
TL;DR: A search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection and results are complementary to the dedicated searches for the case that B and C are standard model bosons.
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Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √ s = 13 TeV

Georges Aad, +2985 more
TL;DR: In this paper, the authors describe the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139.5 million collision data collected between 2015 and 2018 during Run 2 of the LHC, and show that the improved and newly developed algorithms were deployed to preserve high muon identification efficiency with a low misidentification rate and good momentum resolution.