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A. Lee

Researcher at Chonbuk National University

Publications -  26
Citations -  1863

A. Lee is an academic researcher from Chonbuk National University. The author has contributed to research in topics: Standard Model & Muon. The author has an hindex of 21, co-authored 26 publications receiving 1537 citations.

Papers
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Particle-flow reconstruction and global event description with the CMS detector

Albert M. Sirunyan, +2215 more
- 06 Oct 2017 - 
TL;DR: A fully-fledged particle-flow reconstruction algorithm tuned to the CMS detector was developed and has been consistently used in physics analyses for the first time at a hadron collider as mentioned in this paper.
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Suppression of ϒ(1S), ϒ(2S), and ϒ(3S) quarkonium states in PbPb collisions at sNN=2.76TeV

Vardan Khachatryan, +2277 more
- 10 Jul 2017 - 
TL;DR: In this article, the production yields of quarkonium states are measured through their decays into muon pairs in the CMS detector, in PbPb and pp collisions at the centre-of-mass energy per nucleon pair of 2.76 TeV.
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Measurement of inclusive jet cross sections in pp and PbPb collisions at s NN =2.76 TeV

Vardan Khachatryan, +2247 more
- 17 Jul 2017 - 
TL;DR: In this paper, the authors reconstruct the jet spectra from PbPb and PbNb collisions at a nucleon-nucleon center-of-mass energy of 2.76TeV, collected with the CMS detector at the CERN Large Hadron Collider.
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Search for direct production of supersymmetric partners of the top quark in the all-jets final state in proton-proton collisions at √s=13 TeV

Albert M. Sirunyan, +2293 more
- 02 Oct 2017 - 
TL;DR: In this article, a search for direct production of top squark pairs in events with jets and large transverse momentum imbalance is presented, based on proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector in 2016 at the CERN LHC.
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Search for anomalous Wtb couplings and flavour-changing neutral currents in t-channel single top quark production in pp collisions at √s=7 and 8 TeV

Vardan Khachatryan, +2341 more
- 07 Feb 2017 - 
TL;DR: In this article, a Bayesian neural network technique is used to discriminate between the signal and background, which is observed to be consistent with the standard model prediction, and the 95% confidence level (CL) exclusion limits on anomalous right-handed vector, and left-and right-hand tensor Wtb couplings are measured to be |f_V^R| < 0.16,|f_T^L|< 0.057, and − 0.048, respectively.