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Using deep neural networks for identifying physics objects at the Large Hadron Collider (LHC) has become a powerful alternative approach in recent years.
The Anti-k(t) jet clustering algorithm
Matteo Cacciari, Gavin P. Salam, and Gregory Soyez · 2008
Earlier work this paper cites.
Identifying Boosted Objects with N-subjettiness
Jesse Thaler and Ken Van Tilburg · 2011
Earlier work this paper cites.
FastJet User Manual
Matteo Cacciari, Gavin P. Salam, and Gregory Soyez · 2012
Earlier work this paper cites.
Towards an understanding of jet substructure
Mrinal Dasgupta, Alessandro Fregoso, Simone Marzani, and Gavin P. Salam · 2013
Earlier work this paper cites.
Quark and Gluon Jet Substructure
Jason Gallicchio and Matthew D. Schwartz · 2013
Earlier work this paper cites.
Deep inside convolutional networks: Visualising image classification models and saliency maps
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2013
Earlier work this paper cites.
DELPHES 3, A modular framework for fast simulation of a generic collider experiment
J. de Favereau, C. Delaere, P. Demin, A. Giammanco, V. Lemaître, A. Mertens, and M. Selvaggi · 2014
Earlier work this paper cites.
Gaining (Mutual) Information about Quark/Gluon Discrimination
Andrew J. Larkoski, Jesse Thaler, and Wouter J. Waalewijn · 2014
Earlier work this paper cites.
Jet-Images: Computer Vision Inspired Techniques for Jet Tagging
Josh Cogan, Michael Kagan, Emanuel Strauss, and Ariel Schwarztman · 2015
Earlier work this paper cites.
An Introduction to PYTHIA 8.2
Torbjörn Sjöstrand, Stefan Ask, Jesper R. Christiansen, Richard Corke, Nishita Desai, Philip Ilten, Stephen Mrenna, Stefan Prestel, Christine O. Rasmussen, and Peter Z. Skands · 2015
Cited alongside, same era.
Understanding intermediate layers using linear classifier probes
Guillaume Alain and Yoshua Bengio · 2016
Cited alongside, same era.
Jet-images — deep learning edition
Luke de Oliveira, Michael Kagan, Lester Mackey, Benjamin Nachman, and Ariel Schwartzman · 2016
Cited alongside, same era.
Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC
Shannon Egan, Wojciech Fedorko, Alison Lister, Jannicke Pearkes, and Colin Gay · 2017
Cited alongside, same era.
Neural Message Passing for Jet Physics
J. Bruna K. Cho J. Brehmer G. Louppe G. Rochette I. Henrion, K. Cranmer · 2017
Cited alongside, same era.
The Lund Jet Plane
Frédéric A. Dreyer, Gavin P. Salam, and Grégory Soyez · 2018
Later among the works it cites.
The Machine Learning Landscape of Top Taggers
Anja Butter et al · 2019
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Automating the Construction of Jet Observables with Machine Learning
Kaustuv Datta, Andrew Larkoski, and Benjamin Nachman · 2019
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Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske, Eric M. Metodiev, and Jesse Thaler · 2019
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A Theory of Quark vs. Gluon Discrimination
Andrew J. Larkoski and Eric M. Metodiev · 2019
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QCD-Aware Recursive Neural Networks for Jet Physics
Gilles Louppe, Kyunghyun Cho, Cyril Becot, and Kyle Cranmer · 2019
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Jannicke Pearkes, Wojciech Fedorko, Alison Lister, and Colin Gay · 2017
Cited alongside, same era.
Deep-learned Top Tagging with a Lorentz Layer
Anja Butter, Gregor Kasieczka, Tilman Plehn, and Michael Russell · 2018
Cited alongside, same era.
Recursive Neural Networks in Quark/Gluon Tagging
Taoli Cheng · 2018
Cited alongside, same era.
https://github.com/glouppe/recnn
Cited in the paper.
Search for a Higgs boson in the decay channel H H to ZZ(*) to q q qbar ℓ − \ell^{-} l+ in p p pp collisions at s = 7 \sqrt{s}=7 TeV
Serguei Chatrchyan et al
Cited in the paper.
Eric A. Moreno, Olmo Cerri, Javier M. Duarte, Harvey B. Newman, Thong Q. Nguyen, Avikar Periwal, Maurizio Pierini, Aidana Serikova, Maria Spiropulu, and Jean-Roch Vlimant · 2019
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ParticleNet: Jet Tagging via Particle Clouds
Huilin Qu and Loukas Gouskos · 2019
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