activity
20172026
most citedPrincipal-component analysis of two-particle azimuthal correlations in PbPb and pPb collisions at CMS

30 citations · 35 across the 4 of their papers we have counts for

collaborators

29 papers

hep-ph2026

Constraints and Projections for Millicharged Dark Matter in the Sun with Water Cherenkov Neutrino Detectors

Thong T. Q. Nguyen

Millicharged particles are well-motivated dark matter candidates that have been extensively investigated in terrestrial experiments. Recent studies proposed using the IceCube Neutr…

physics.comp-ph20205 cited

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

Cheng Chen, Olmo Cerri, Thong Q. Nguyen +2

We present a fast simulation application based on a Deep Neural Network, designed to create large analysis-specific datasets. Taking as an example the generation of W+jet events pr…

hep-ex2020

Angular analysis of the decay B K(892) in proton-proton collisions at 8 TeV

CMS Collaboration

Angular distributions of the decay B K(892) are studied using events collected with the CMS detector in 8 TeV proton-proton collisions at the L…

hep-ex2020

Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark

Oliver Knapp, Guenther Dissertori, Olmo Cerri +3

We apply an Adversarially Learned Anomaly Detection (ALAD) algorithm to the problem of detecting new physics processes in proton-proton collisions at the Large Hadron Collider. Ano…

hep-ex2020

Measurement of the cross section for electroweak production of a Z boson, a photon and two jets in proton-proton collisions at 13 TeV and constraints on anomalous quartic couplings

CMS Collaboration

A measurement is presented of the cross section for electroweak production of a Z boson and a photon in association with two jets (Zjj) in proton-proton collisions. The Z boson…

hep-ex2019

Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description

Jesus Arjona Martinez, Thong Q Nguyen, Maurizio Pierini +2

We investigate how a Generative Adversarial Network could be used to generate a list of particle four-momenta from LHC proton collisions, allowing one to define a generative model…