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Wladyslaw Dabrowski

Researcher at AGH University of Science and Technology

Publications -  1112
Citations -  87307

Wladyslaw Dabrowski is an academic researcher from AGH University of Science and Technology. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 129, co-authored 990 publications receiving 79728 citations. Previous affiliations of Wladyslaw Dabrowski include Jagiellonian University & University of Buenos Aires.

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High-Resolution Electrical Stimulation of Primate Retina for Epiretinal Implant Design

TL;DR: The development of retinal implants for the blind depends crucially on understanding how neurons in the retina respond to electrical stimulation, and multielectrode arrays to stimulate ganglion cells in the peripheral macaque retina hold promise for the application of high-density arrays of small electrodes in epiretinal implants.
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Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using 4.7 fb − 1 of s = 7 TeV proton-proton collision data

Georges Aad, +2916 more
- 22 Jan 2013 - 
TL;DR: In this paper, a search for squarks and gluinos in final states containing jets, missing transverse momentum and no high-p(T) electrons or muons is presented.
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Searches for Higgs boson pair production in the hh →bbττ, γγWW∗, γγbb, bbbb channels with the ATLAS detector

Georges Aad, +2911 more
- 05 Nov 2015 - 
TL;DR: In this article, both resonant and nonresonant Higgs boson pair production were performed in the hh -> bb tau tau, gamma gamma WW* final states using 20.3 fb(-1) of collision data at a center-of-m...
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Search for new phenomena in dijet mass and angular distributions from pp collisions at √s= 13 TeV with the ATLAS detector

Georges Aad, +2817 more
- 10 Mar 2016 - 
TL;DR: In this article, the authors describe a model-agnostic search for pairs of jets (dijets) produced by resonant and non-resonant phenomena beyond the Standard Model.
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Search for the Standard Model Higgs boson produced in association with top quarks and decaying into bb¯ in pp collisions at √s = 8 TeV with the ATLAS detector

Georges Aad, +2816 more
TL;DR: In this paper, a neural network is used to discriminate between signal and background events, the latter being dominated by +jets production, and an observed (expected) limit of 3.4 (2.2) times the Standard Model cross section is obtained at 95 % confidence level.