570 citations · 629 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
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…
Measurement of the branching fraction with early Belle II data
Belle II Collaboration, F. Abudinén, I. Adachi +533
We measure the branching fractions for the decays and using of data collecte…