92 citations · 243 across the 18 of their papers we have counts for
4 papers · 1 filter
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…
Zero-Permutation Jet-Parton Assignment using a Self-Attention Network
Jason Sang Hun Lee, Inkyu Park, Ian James Watson +1
In high-energy particle physics events, it can be advantageous to find the jets associated with the decays of intermediate states, for example, the three jets produced by the hadro…
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…
Hadron Energy Reconstruction for the ATLAS Calorimetry in the Framework of the Non-parametrical Method
ATLAS Collaboration
This paper discusses hadron energy reconstruction for the ATLAS barrel prototype combined calorimeter (consisting of a lead-liquid argon electromagnetic part and an iron-scintillat…