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Christopher Hawkes

Researcher at Queen Mary University of London

Publications -  442
Citations -  45834

Christopher Hawkes is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 93, co-authored 423 publications receiving 41658 citations. Previous affiliations of Christopher Hawkes include Politehnica University of Bucharest & Universidade Nova de Lisboa.

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Journal ArticleDOI

Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

Georges Aad, +2967 more
- 17 Sep 2012 - 
TL;DR: In this article, a search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented, which has a significance of 5.9 standard deviations, corresponding to a background fluctuation probability of 1.7×10−9.
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The ATLAS Simulation Infrastructure

Georges Aad, +2585 more
TL;DR: The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid, including supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors.
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Parkinson's disease: a dual-hit hypothesis.

TL;DR: It is concluded that the most parsimonious explanation for the initial events of sporadic Parkinson's disease is pathogenic access to the brain through the stomach and nose – hence the term ‘dual‐hit’.
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Observation of a centrality-dependent dijet asymmetry in lead-lead collisions at √sNN=2.76 Tev with the ATLAS detector at the LHC

Georges Aad, +3101 more
TL;DR: In this article, the authors used the ATLAS detector to detect dijet asymmetry in the collisions of lead ions at the Large Hadron Collider and found that the transverse energies of dijets in opposite hemispheres become systematically more unbalanced with increasing event centrality, leading to a large number of events which contain highly asymmetric di jets.
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Meta-analysis of early nonmotor features and risk factors for Parkinson disease.

TL;DR: To evaluate the association between diagnosis of Parkinson disease and risk factors or early symptoms amenable to population‐based screening, a large number of patients with confirmed or suspected Parkinson's disease have received a diagnosis of PD.