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Yang Gao

Researcher at University of Surrey

Publications -  2109
Citations -  158938

Yang Gao is an academic researcher from University of Surrey. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 168, co-authored 2047 publications receiving 146301 citations. Previous affiliations of Yang Gao include China Agricultural University & University of Kassel.

Papers
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Journal ArticleDOI

Measurement of the inclusive production cross sections for forward jets and for dijet events with one forward and one central jet in pp collisions at √s = 7 TeV

S. Chatrchyan, +2305 more
TL;DR: In this article, the double differential cross sections with respect to pt and eta are compared to predictions from three approaches in perturbative quantum chromodynamics: (i) next-to-leading-order calculations obtained with and without matching to parton-shower Monte Carlo simulations, (ii) PYTHIA and HERWIG partonshower event generators with different tunes of parameters, and (iii) CASCADE and HEJ models, including different non-collinear corrections to standard single-parton radiation.
Journal ArticleDOI

Search for New Physics with a Monojet and Missing Transverse Energy in pp Collisions at √s=7 TeV

S. Chatrchyan, +2244 more
TL;DR: A study of events with missing transverse energy and an energetic jet is performed using pp collision data at a center-of-mass energy of 7 TeV, and significant extension of the current limits on parameters of new physics benchmark models is achieved.
Proceedings Article

Measurement of higher-order harmonic azimuthal anisotropy in PbPb collisions at root s(NN)=2.76 TeV

S. Chatrchyan, +2178 more
Journal ArticleDOI

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.
Journal ArticleDOI

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.