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Antonio Ereditato

Researcher at University of Bern

Publications -  1572
Citations -  107737

Antonio Ereditato is an academic researcher from University of Bern. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 144, co-authored 1448 publications receiving 97008 citations. Previous affiliations of Antonio Ereditato include Politehnica University of Bucharest & Research Council of Norway.

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Search for nonpointing and delayed photons in the diphoton and missing transverse momentum final state in 8 TeV pp collisions at the LHC using the ATLAS detector

Georges Aad, +2873 more
- 10 Dec 2014 - 
TL;DR: In this paper, a search was performed using the full 20.3 fb(-1) data sample of 8 TeV proton-proton collisions collected in 2012 with the ATLAS detector at the LHC, for photons originating from a displaced vertex due to the decay of a neutral long-lived particle into a photon and an invisible particle.
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Measurement of the inclusive cross-sections of single top-quark and top-antiquark t-channel production in pp collisions at √s=13 TeV with the ATLAS detector

Morad Aaboud, +2917 more
TL;DR: In this paper, a measurement of the t-channel single-top-quark and single top-antiquark production cross-sections in the lepton+jets channel is presented, using 3.2 fb−1 of proton-proton collision data.
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Search for a Charged Higgs Boson Produced in the Vector-boson Fusion Mode with Decay H ± →W ± Z using pp Collisions at √s=8 TeV with the ATLAS Experiment

Georges Aad, +2811 more
TL;DR: A search for a charged Higgs boson, H(±), decaying to a W(±) boson and a Z boson is presented and the limits are compared with predictions from the Georgi-Machacek Higgs triplet model.
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Neutrino oscillation physics potential of the T2K experiment

K. Abe, +365 more
TL;DR: In this article, the authors acknowledge the support of MEXT, Japan; NSERC, NRC, and======CFI, Canada; CEA and CNRS/IN2P3, France; DFG, Germany; INFN, Italy; National Science Centre (NCN), Poland; MICINN and CPAN, Spain; SNSF and SER, Switzerland; STFC, UK; and DOE, USA.
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A neural network clustering algorithm for the ATLAS silicon pixel detector

Georges Aad, +2911 more
TL;DR: A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented, reducing the number of clusters shared between tracks in highly energetic jets by up to a factor of three.