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We introduce the Particle Convolution Network (PCN), a new type of equivariant neural network layer suitable for many tasks in jet physics.
Application of artificial neural networks in particle physics
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THEORY AND APPLICATIONS OF STEERABLE FUNCTIONS
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Boosted decision trees, an alternative to artificial neural networks
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Infrared safe definition of jet flavor
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The anti- k t k_{t} jet clustering algorithm
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Jet substructure as a new Higgs search channel at the LHC
Jonathan M. Butterworth, Adam R. Davison, Mathieu Rubin, and Gavin P. Salam · 2008
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Non-perturbative QCD effects in jets at hadron colliders
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Boosted Objects: A Probe of Beyond the Standard Model Physics
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Jason Gallicchio and Matthew D. Schwartz · 2013
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Mrinal Dasgupta, Alessandro Fregoso, Simone Marzani, and Gavin P. Salam · 2013
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Gaining (Mutual) Information about Quark/Gluon Discrimination
Andrew J. Larkoski, Jesse Thaler, and Wouter J. Waalewijn · 2014
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Power Counting to Better Jet Observables
Andrew J. Larkoski, Ian Moult, and Duff Neill · 2014
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Soft Drop
Andrew J. Larkoski, Simone Marzani, Gregory Soyez, and Jesse Thaler · 2014
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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
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Jet-Images: Computer Vision Inspired Techniques for Jet Tagging
Josh Cogan, Michael Kagan, Emanuel Strauss, and Ariel Schwarztman · 2015
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An introduction to PYTHIA 8.2
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An operational definition of quark and gluon jets
Patrick T. Komiske, Eric M. Metodiev, and Jesse Thaler · 2018
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Energy flow polynomials: A complete linear basis for jet substructure
Patrick T. Komiske, Eric M. Metodiev, and Jesse Thaler · 2018
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Learning steerable filters for rotation equivariant cnns
M. Weiler, F. Hamprecht, and Martin Storath · 2018
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Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas, Tess Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, and Patrick Riley · 2018
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Quark jet versus gluon jet: fully-connected neural networks with high-level features
Hui Luo, Ming-xing Luo, Kai Wang, Tao Xu, and Guohuai Zhu · 2019
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Jet-images — deep learning edition
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New Angles on Energy Correlation Functions
Ian Moult, Lina Necib, and Jesse Thaler · 2016
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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
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Nov 2017
Boosted jet identification using particle candidates and deep neural networks · 2017
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Gilles Louppe, Kyunghyun Cho, Cyril Becot, and Kyle Cranmer · 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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Jet Substructure at the Large Hadron Collider: Experimental Review
Roman Kogler et al · 2019
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A general theory of equivariant cnns on homogeneous spaces
Taco S Cohen, Mario Geiger, and Maurice Weiler · 2019
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Top quark tagging reference dataset, March 2019
Gregor Kasieczka, Tilman Plehn, Jennifer Thompson, and Michael Russel · 2019
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Graph neural networks in particle physics
Jonathan Shlomi, P. Battaglia, and Jean-Roch Vlimant · 2020
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Lorentz group equivariant neural network for particle physics
Alexander Bogatskiy, Brandon Anderson, Jan Offermann, Marwah Roussi, David Miller, and Risi Kondor · 2020
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JEDI-net: a jet identification algorithm based on interaction networks
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 · 2020
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Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
Andrew J. Larkoski, Ian Moult, and Benjamin Nachman · 2020
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ParticleNet: Jet Tagging via Particle Clouds
Huilin Qu and Loukas Gouskos · 2020
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