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Malik Aliev

Researcher at Humboldt University of Berlin

Publications -  501
Citations -  41228

Malik Aliev is an academic researcher from Humboldt University of Berlin. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 91, co-authored 390 publications receiving 38805 citations. Previous affiliations of Malik Aliev include CERN & Humboldt State University.

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Searches for heavy long-lived sleptons and R-hadrons with the ATLAS detector in pp collisions at √s = 7 TeV

Georges Aad, +2891 more
TL;DR: In this article, a search for long-lived particles is performed using a data sample of 4.7 fb−1 from proton-proton collisions at a centre-of-mass energy √s =7 TeV collected by the ATLAS detector at the LHC.
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Search for the Standard Model Higgs boson in the H -> WW(*()) -> lvlv decay mode with 4.7 fb(-1) of ATLAS data at root s=7 TeV

Georges Aad, +2852 more
- 17 Sep 2012 - 
TL;DR: In this article, a search for the Standard Model Higgs boson in the H -> WW(*()) -> lvlv (l = e.mu) decay mode is presented.
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Search for contact interactions and large extra dimensions in dilepton events from pp collisions at √s=7 TeV with the ATLAS detector

Georges Aad, +2899 more
- 04 Jan 2013 - 
TL;DR: In this paper, a search for nonresonant new phenomena, originating from either contact interactions or large extra spatial dimensions, has been carried out using events with two isolated electrons or muons.
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Search for displaced muonic lepton jets from light Higgs boson decay in proton-proton collisions at s√=7 TeV with the ATLAS detector

Georges Aad, +2931 more
- 10 Apr 2013 - 
TL;DR: In this article, a search is performed for collimated muon pairs displaced from the primary vertex produced in the decay of long-lived neutral particles in proton-proton collisions at root s = 7 TeV centre of mass.
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Measurement of the production cross-section of a single top quark in association with a Z boson in proton–proton collisions at 13 TeV with the ATLAS detector

Morad Aaboud, +2909 more
- 10 May 2018 - 
TL;DR: In this paper, a neural network was used to improve the background rejection and extract the signal of top quark production in the collision data collected by the ATLAS experiment at the LHC in 2015 and 2016.