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A. R. Weidberg

Researcher at University of Oxford

Publications -  104
Citations -  5764

A. R. Weidberg is an academic researcher from University of Oxford. The author has contributed to research in topics: Large Hadron Collider & Collider. The author has an hindex of 40, co-authored 104 publications receiving 5591 citations. Previous affiliations of A. R. Weidberg include University of Cambridge & University of Pavia.

Papers
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Observation of Single Isolated Electrons of High Transverse Momentum in Events with Missing Transverse Energy at the CERN anti-p p Collider

TL;DR: In this article, the results of a search for single isolated electrons of high transverse momentum at the CERN p p collider were reported and the configuration of the events and their number were consistent with the expectations from the process p + p → W ± + anything, with W→e+ν, where W± is the charged Intermediate Vector Boso postulated by the unified electroweak theory.
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Performance of missing transverse momentum reconstruction in proton-proton collisions at√s = 7 TeV with atlas

Georges Aad, +5562 more
TL;DR: In this paper, the performance of the missing transverse momentum reconstruction was evaluated using data collected in pp collisions at a centre-of-mass energy of 7 TeV in 2010.
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Measurement of Higgs boson production in the diphoton decay channel in pp collisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector

Georges Aad, +2919 more
- 24 Dec 2014 - 
TL;DR: In this paper, a measurement of the production processes of the recently discovered Higgs boson is performed in the two-photon final state using 4.5 fb(-1) of proton-proton collisions data at root s = 7 TeV and 20.4 GeV.
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Luminosity Determination in pp Collisions at sqrt(s)=7 TeV Using the ATLAS Detector at the LHC

D. Aad, +5603 more
TL;DR: In this article, measurements of luminosity obtained using the ATLAS detector during early running of the Large Hadron Collider (LHC) at root s = 7 TeV are presented, independently determined using several detectors and multiple algorithms, each having different acceptances, systematic uncertainties and sensitivity to background.