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Nikola Makovec

Researcher at Université Paris-Saclay

Publications -  785
Citations -  66909

Nikola Makovec is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 116, co-authored 668 publications receiving 60459 citations. Previous affiliations of Nikola Makovec include Universidade Nova de Lisboa & CERN.

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Search for new phenomena in events with three charged leptons at root s=7 TeV with the ATLAS detector

Georges Aad, +2922 more
- 04 Mar 2013 - 
TL;DR: In this paper, a generic search for anomalous production of events with at least three charged leptons is presented, using a pp-collision data sample at a center-of-mass energy of root s = 7 TeV corresp...
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Measurement of inclusive two-particle angular correlations in pp collisions with the atlas detector at the LHC

Georges Aad, +3080 more
TL;DR: In this article, a measurement of two-particle angular correlations in proton-proton collisions at root s = 900 GeV and 7 TeV is presented, where a complex structure in pseudorapidity and azimuth is observed at both collision energies.
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Exclusive dimuon production in ultraperipheral Pb + Pb collisions at √sNN= 5.02 TeV with ATLAS

Georges Aad, +2951 more
- 19 Aug 2021 - 
TL;DR: In this article, the effect of photon-photon interactions in the strong electromagnetic fields of colliding high-energy lead nuclei was studied using the LHC with the ATLAS detector.
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Search for phenomena beyond the Standard Model in events with large b-jet multiplicity using the ATLAS detector at the LHC

Georges Aad, +3000 more
TL;DR: In this article, a search for new phenomena in events characterised by high jet multiplicity, no leptons (electrons or muons), and four or more jets originating from the fragmentation of b-quarks (b-jets) is presented.
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Erratum to ATLAS Run 1 searches for direct pair production of third-generation squarks at the Large Hadron Collider ATLAS Collaboration (Eur. Phys. J. C, (2015), 75, (510), DOI 10.1140/epjc/s10052-015-3726-9)

Georges Aad, +2842 more
TL;DR: In this article, the authors proposed a method to find the optimal set of features for each node in a set of images, which can be found under doi:10.1140/epjc/s10052-015-3726-9