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K. Dindar Yagci

Researcher at Southern Methodist University

Publications -  252
Citations -  31406

K. Dindar Yagci is an academic researcher from Southern Methodist University. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 83, co-authored 251 publications receiving 30298 citations. Previous affiliations of K. Dindar Yagci include West University of Timișoara.

Papers
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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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Measurement with the ATLAS detector of multi-particle azimuthal correlations in p+Pb collisions at √SNN = 5.02 TeV

Georges Aad, +2939 more
- 09 Aug 2013 - 
TL;DR: In this article, the authors studied the long-range correlations observed in p + Pb collisions at root s(NN) = 5.02 TeV, the second-order anisotropy parameter of charged particles.
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The ATLAS Inner Detector commissioning and calibration

Georges Aad, +2630 more
TL;DR: The ATLAS Inner Detector as mentioned in this paper is a composite tracking system consisting of silicon pixels, silicon strips and straw tubes in a 2 T magnetic field, which was completed in 2008 and the detector took part in data-taking with single LHC beams and cosmic rays.
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Measurement of the distributions of event-by-event flow harmonics in lead-lead collisions at √SNN = 2.76 TeV with the ATLAS detector at the LHC

Georges Aad, +2939 more
TL;DR: In this article, the distributions of event-by-event harmonic flow coefficients v (n) for n = 2-4 are measured in = 2.76 TeV Pb + Pb collisions using the ATLAS detector at the LHC.
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Measurement of inclusive jet and dijet cross sections in proton-proton collisions at 7 TeV centre-of-mass energy with the ATLAS detector

Georges Aad, +3166 more
TL;DR: In this article, the anti-kt algorithm is used to identify jets, with two jet resolution parameters, R = 0.4 and 0.6, and the dominant uncertainty comes from the jet energy scale, which is determined to within 7% for central jets above 60 GeV transverse momentum.