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This paper describes the construction of novel end-to-end image-based classifiers that directly leverage low-level simulated detector data to discriminate signal and background processes in pp collision events at the Large Hadron Collider at CERN.
DOI 10.1103/PhysRevD.63.075003
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Simulated dataset GluGluHToGG_M-125_8TeV-pythia6 in AODSIM format for 2012 collision data. (2017)
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Simulated dataset DiPhotonBorn_Pt-25To250_8TeV_ext-pythia6 in AODSIM format for 2012 collision data. (2017)
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Simulated dataset GJet_Pt40_doubleEMEnriched_TuneZ2star_8TeV_ext-pythia6 in AODSIM format for 2012 collision data (2017)
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DOI 10.1007/JHEP05(2017)006
G. Kasieczka, T. Plehn, M. Russell, T. Schell, Deep-learning Top Taggers or The End of QCD?, JHEP 05 · 2017
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C.F. Madrazo, I.H. Cacha, L.L. Iglesias, J.M. de Lucas, Application of a Convolutional Neural Network for image classification to the analysis of collisions in High Energy Physics (2017)
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Tech. Rep. ATL-PHYS-PUB-2017-003, CERN, Geneva (2017)
Identification of Jets Containing b b -Hadrons with Recurrent Neural Networks at the ATLAS Experiment · 2017
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Jet constituents for deep neural network based top quark tagging (2017)
J. Pearkes, W. Fedorko, A. Lister, C. Gay · 2017
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Long short-term memory (lstm) networks with jet constituents for boosted top tagging at the lhc (2017)
S. Egan, W. Fedorko, A. Lister, J. Pearkes, C. Gay · 2017
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W. Bhimji, et al., Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC, J. Phys. Conf. Ser. 1085 · 2018
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M. Andrews, M. Paulini, S. Gleyzer, B. Poczos, End-to-End Event Classification of High-Energy Physics Data, J. Phys. Conf. Ser. 1085 · 2018
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DOI 10.1007/JHEP01(2019)057
G. Louppe, K. Cho, C. Becot, K. Cranmer, QCD-Aware Recursive Neural Networks for Jet Physics, JHEP 01 · 2019
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Particlenet: Jet tagging via particle clouds (2019)
H. Qu, L. Gouskos · 2019
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DOI 10.1007/jhep01(2019)121
P.T. Komiske, E.M. Metodiev, J. Thaler, Energy flow networks: deep sets for particle jets, Journal of High Energy Physics 2019 · 2019
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A guide for deploying deep learning in lhc searches: How to achieve optimality and account for uncertainty (2019)
B. Nachman · 2019
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