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The identification of jets and their constituents is one of the key problems and challenging task in heavy ion experiments such as experiments at RHIC and LHC.
Lattice QCD at High Temperature and Density
Frithjof Karsch · 2002
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A model of jet quenching in ultrarelativistic heavy ion collisionsand high-pt hadron spectra at rhic
Lokhtin, I. P. and Snigirev, A. M · 2006
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The anti-ktjet clustering algorithm
Matteo Cacciari, Gavin P Salam, and Gregory Soyez · 2008
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Pileup subtraction using jet areas
Matteo Cacciari and Gavin P. Salam · 2008
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The catchment area of jets
Matteo Cacciari, Gavin P Salam, and Gregory Soyez · 2008
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Heavy ion event generator HYDJET++ (HYDrodynamics plus JETs)
I.P. Lokhtin, L.V. Malinina, S.V. Petrushanko, A.M. Snigirev, I. Arsene, and K. Tywoniuk · 2009
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Towards jetography
Gavin P. Salam · 2010
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Search for New Physics with Jets and Missing Transverse Momentum in p p pp collisions at s = 7 \sqrt{s}=7 TeV
Serguei Chatrchyan et al · 2011
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Jet reconstruction in heavy ion collisions
Matteo Cacciari, Juan Rojo, Gavin P. Salam, and Gregory Soyez · 2011
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Search for three-jet resonances in pp collisions at s = 7 \sqrt{s}=7 tev
S. Chatrchyan, V. Khachatryan, A.M. Sirunyan, A. Tumasyan, W. Adam, E. Aguilo, T. Bergauer, M. Dragicevic, J. Erö, C. Fabjan, and et al · 2012
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Suppression of high transverse momentum d mesons in central pb-pb collisions at s N N \sqrt{s_{NN}} =2.76 tev
B. Abelev and et al · 2012
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Fastjet user manual
Matteo Cacciari, Gavin P. Salam, and Gregory Soyez · 2012
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Measurement of the jet radius and transverse momentum dependence of inclusive jet suppression in pb-pb collisions at s N N \sqrt{s_{NN}} =2.76 tev with the atlas detector
ATLAS Collaboration* · 2013
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Equation of state in (2+1)-flavor qcd
A. Bazavov, Tanmoy Bhattacharya, C. DeTar, H.T. Ding, Steven Gottlieb, Rajan Gupta, P. Hegde, U.M. Heller, F. Karsch, E. Laermann, and et al · 2014
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Particle-level pileup subtraction for jets and jet shapes
Peter Berta, Martin Spousta, David W. Miller, and Rupert Leitner · 2014
Cited alongside, same era.
Particle-level pileup subtraction for jets and jet shapes
Peter Berta, Martin Spousta, David W. Miller, and Rupert Leitner · 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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Playing tag with ann: Boosted top identification with pattern recognition, 2015
Leandro G. Almeida, Mihailo Backovic, Mathieu Cliche, Seung J. Lee, and Maxim Perelstein · 2015
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An introduction to pythia 8.2
Sjostrand et al · 2015
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Softkiller, a particle-level pileup removal method
Matteo Cacciari, Gavin P. Salam, and Gregory Soyez · 2015
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Deep learning in color: towards automated quark/gluon jet discrimination
Patrick T. Komiske, Eric M. Metodiev, and Matthew D. Schwartz · 2017
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Deep-learning top taggers or the end of qcd?
Gregor Kasieczka, Tilman Plehn, Michael Russell, and Torben Schell · 2017
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Semi-supervised classification with graph convolutional networks, 2017
Thomas N. Kipf and Max Welling · 2017
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Attention is all you need, 2017
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Adam: A method for stochastic optimization, 2017
Diederik P. Kingma and Jimmy Ba · 2017
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Jet measurements in heavy ion physics
Megan Connors, Christine Nattrass, Rosi Reed, and Sevil Salur · 2018
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Jet-images — deep learning edition
Luke de Oliveira, Michael Kagan, Lester Mackey, Benjamin Nachman, and Ariel Schwartzman · 2016
Cited alongside, same era.
Jet substructure classification in high-energy physics with deep neural networks
Pierre Baldi, Kevin Bauer, Clara Eng, Peter Sadowski, and Daniel Whiteson · 2016
Cited alongside, same era.
Jet flavor classification in high-energy physics with deep neural networks
Daniel Guest, Julian Collado, Pierre Baldi, Shih-Chieh Hsu, Gregor Urban, and Daniel Whiteson · 2016
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate, 2016
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2016
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Long short-term memory-networks for machine reading, 2016
Jianpeng Cheng, Li Dong, and Mirella Lapata · 2016
Cited alongside, same era.
Physics Letters B
Search for new phenomena in events with high jet multiplicity and low missing transverse momentum in proton–proton collisions at s=8tev · 2017
Cited alongside, same era.
Graph attention networks, 2018
Petar Veli., Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2018
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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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Pileup and underlying event mitigation with iterative constituent subtraction
P. Berta, L. Masetti, D.W. Miller, and M. Spousta · 2019
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Particle track reconstruction using geometric deep learning, 2020
Yogesh Verma and Satyajit Jena · 2020
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Jet tagging in the lund plane with graph networks, 2020
Frédéric A. Dreyer and Huilin Qu · 2020
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Track seeding and labelling with embedded-space graph neural networks, 2020
Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, and Tracy Usher · 2020
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Shower identification in calorimeter using deep learning, 2021
Yogesh Verma and Satyajit Jena · 2021
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