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L. E. Price

Researcher at Argonne National Laboratory

Publications -  741
Citations -  71783

L. E. Price is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 122, co-authored 706 publications receiving 68531 citations. Previous affiliations of L. E. Price include TOBB University of Economics and Technology & Universidade Nova de Lisboa.

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Performance of the ATLAS muon trigger in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sqrt{s}=8$$\end{document}s=8 TeV

Georges Aad, +2878 more
TL;DR: The performance of the ATLAS muon trigger system is evaluated with proton-proton collision data collected in 2012 at the Large Hadron Collider at a centre-of-mass energy of 8 TeV, with a statistical uncertainty of less than 0.01 % and a systematic uncertainty of 0.6 % as discussed by the authors.

Cosmic ray sun shadow in Soudan 2 underground muon flux.

W.W.M. Allison, +10 more
TL;DR: The first measurement of the solar cosmic ray shadow by detection of deep underground muon flux in observations made during the entire ten-year interval 1989 to 1998 was reported in this paper.
Journal ArticleDOI

Corrigendum: A search for an excited muon decaying to a muon and two jets in pp collisions at $\sqrt{s}=8\,\mathrm{TeV}$ with the ATLAS detector

Georges Aad, +2823 more
- 01 Jan 2019 - 
Journal ArticleDOI

Construction and Operation of a Drift-Collection Calorimeter

I. Ambats, +11 more
- 01 Feb 1985 - 
TL;DR: In this paper, a planar drift chambers with long drift distances (up to 50 cm) have been developed for possible use in the new Soudan 2 nucleon decay detector.

Search for the Standard Model Higgs boson produced in association with top quarks and decaying into b[bar over b] in pp collisions at √s = 8 TeV with the ATLAS detector

Georges Aad, +2809 more
TL;DR: In this article, a neural network is used to discriminate between signal and background events, the latter being dominated by t t ǫ+jets production, and variables calculated using a matrix element method are included as inputs to the neural network to improve discrimination.