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David Malon

Researcher at Argonne National Laboratory

Publications -  878
Citations -  81328

David Malon 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 128, co-authored 873 publications receiving 74713 citations. Previous affiliations of David Malon include Federal University of Rio de Janeiro & Politehnica University of Bucharest.

Papers
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Measurement of the production cross section for W-bosons in association with jets in pp collisions at √s = 7 TeV with the ATLAS detector

Georges Aad, +3037 more
TL;DR: In this paper, the first measurement of the W + jets cross section in proton-proton collisions at a centre-of-mass energy of 7 TeV at the LHC with the ATLAS detector was reported.

Measurement of the charge asymmetry in top quark pair production 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}$\sqrt{s}=7\ \mathrm{TeV}$\end{document} using the ATLAS detector

Georges Aad, +3022 more
TL;DR: In this paper, a measurement of the charge asymmetry in top quark pair production using an integrated luminosity of 1.09 fb−1 collected with the CMS detector is presented.
Posted Content

Persistent Data Layout and Infrastructure for Efficient Selective Retrieval of Event Data in ATLAS

TL;DR: For 2011 data, ATLAS will utilize new capabilities in ROOT to tune the persistent storage layout of event data, and to significantly speed up selective event reading, and its implications for I/O performance are described in this paper.
Journal ArticleDOI

Event metadata records as a testbed for scalable data mining

TL;DR: Early experience with event metadata records from ATLAS simulation and commissioning is described as a testbed for scalable data mining tool development and evaluation, using a domain-neutral scientific data format.
Journal ArticleDOI

Next-Generation Navigational Infrastructure and the ATLAS Event Store

TL;DR: The architecture and design of the next generation of ATLAS navigational infrastructure are described, which include redesign with efficient file merging in mind, content-based indices in optimized reference types, and support for forward references.