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Michal Vlasak

Researcher at Czech Technical University in Prague

Publications -  575
Citations -  61707

Michal Vlasak is an academic researcher from Czech Technical University in Prague. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 118, co-authored 573 publications receiving 58644 citations. Previous affiliations of Michal Vlasak include CERN & Federal University of Rio de Janeiro.

Papers
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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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Search for squarks and gluinos using final states with jets and missing transverse momentum with the Atlas detector in s=7 TeV proton-proton collisions

Georges Aad, +3037 more
- 04 Jul 2011 - 
TL;DR: In this article, a search for squarks and gluinos in final states containing jets, missing transverse momentum and no electrons or muons is presented, and the data were recorded by the ATLAS experiment in sqrt(s) = 7 TeV proton-proton collisions at the Large Hadron Collider.
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Observation of Associated Near-Side and Away-Side Long-Range Correlations in √sNN=5.02 TeV Proton-Lead Collisions with the ATLAS Detector

Georges Aad, +2915 more
TL;DR: Two-particle correlations in relative azimuthal angle and pseudorapidity are measured using the ATLAS detector at the LHC and the resultant Δø correlation is approximately symmetric about π/2, and is consistent with a dominant cos2Δø modulation for all ΣE(T)(Pb) ranges and particle p(T).
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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.
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Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

Georges Aad, +2891 more
TL;DR: Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS and is exploited to apply a local energy calibration and corrections depending on the nature of the cluster.