most citedQuark-Gluon Jet Discrimination Using Convolutional Neural Networks

26 citations · 44 across the 3 of their papers we have counts for

collaborators

5 papers

physics.ins-det20202 cited

Neutron Detection using a Gadolinium-Cathode GEM Detector

DongHyun Song, Kyungeon Choi, Youngun Jeng +4

A gas electron multiplier (GEM) detector with a gadolinium cathode has been developed to explore its potential application as a neutron detector. It consists of three standard-size…

hep-ph202016 cited

Quark Gluon Jet Discrimination with Weakly Supervised Learning

Jason Sang Hun Lee, Sang Man Lee, Yunjae Lee +3

Deep learning techniques are currently being investigated for high energy physics experiments, to tackle a wide range of problems, with quark and gluon discrimination becoming a be…

hep-ex202026 cited

Quark-Gluon Jet Discrimination Using Convolutional Neural Networks

Jason Sang Hun Lee, Inkyu Park, Ian James Watson +1

Currently, newly developed artificial intelligence techniques, in particular convolutional neural networks, are being investigated for use in data-processing and classification of…

hep-ex2018

Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging

Jason Lee, Inkyu Park, Sangnam Park

Recently machine learning algorithms based on deep layered artificial neural networks (DNNs) have been applied to a wide variety of high energy physics problems such as jet tagging…

hep-ex2018

Production of and mesons in CuAu collisions at =200 GeV

C. Aidala, N. N. Ajitanand, Y. Akiba +401

Production of and mesons has been measured at midrapidity in CuAu collisions at =200 GeV. Measurements were performed in decay…