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We introduce jet topics: a framework to identify underlying classes of jets from collider data.
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Andrea Banfi, Gavin P. Salam, and Giulia Zanderighi, “Infrared safe definition of jet flavor,” Eur. Phys. J. C47
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Torbjorn Sjostrand, Stephen Mrenna, and Peter Z. Skands, “PYTHIA 6.4 Physics and Manual,” JHEP 05
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J. M. Butterworth, John R. Ellis, and A. R. Raklev, “Reconstructing sparticle mass spectra using hadronic decays,” JHEP 05
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Vaninirappuputhenpurayil Gopalan Reju, Soo Ngee Koh, and Yann Soon, “An algorithm for mixing matrix estimation in instantaneous blind source separation,” Signal Processing 89
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David Krohn, Jesse Thaler, and Lian-Tao Wang, “Jet Trimming,” JHEP 02
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Pierre Comon and Christian Jutten, Handbook of Blind Source Separation: Independent component analysis and applications (Academic press, 2010)
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Ganesh R Naik and Dinesh K Kumar, “An overview of independent component analysis and its applications,” Informatica 35
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2012
Cited alongside, same era.
David M Blei, “Probabilistic topic models,” Communications of the ACM 55
2012
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Sanjeev Arora, Rong Ge, and Ankur Moitra, “Learning topic models–going beyond svd,” in Foundations of Computer Science (FOCS), 2012 IEEE 53rd Annual Symposium on (IEEE, 2012) pp. 1–10
2012
Cited alongside, same era.
Matteo Cacciari, Gavin P. Salam, and Gregory Soyez, “FastJet User Manual,” Eur. Phys. J. C72
2012
Cited alongside, same era.
Jason Gallicchio and Matthew D. Schwartz, “Quark and Gluon Jet Substructure,” JHEP 04
2016
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Gilles Blanchard, Marek Flaska, Gregory Handy, Sara Pozzi, Clayton Scott, et al. , “Classification with asymmetric label noise: Consistency and maximal denoising,” Electronic Journal of Statistics 10
2016
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2016
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2016
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2013
Cited alongside, same era.
2013
Cited alongside, same era.
CMS Collaboration (CMS), Performance of quark/gluon discrimination in 8 TeV pp data , Tech. Rep. CMS-PAS-JME-13-002 (2013)
2013
Cited alongside, same era.
2013
Cited alongside, same era.
Sanjeev Arora, Rong Ge, Yonatan Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, and Michael Zhu, “A practical algorithm for topic modeling with provable guarantees,” in Proceedings of the 30th International Conference on Machine Learning , Proceedings of Machine Learning Research, Vol. 28, edited by Sanjoy Dasgupta and David McAllester (PMLR, Atlanta, Georgia, USA, 2013) pp. 280–288
2013
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2014
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2014
Cited alongside, same era.
Gilles Blanchard and Clayton Scott, “Decontamination of Mutually Contaminated Models,” in Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics , Proceedings of Machine Learning Research, Vol. 33, edited by Samuel Kaski and Jukka Corander (PMLR, Reykjavik, Iceland, 2014) pp. 1–9
2014
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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Measurement of the differential jet production cross section with respect to jet mass and transverse momentum in dijet events from pp collisions at s \sqrt{s} = 13 TeV , Tech. Rep. CMS-PAS-SMP-16-010 (CERN, Geneva, 2017)
2017
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2017
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2018
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2018
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Timothy Cohen, Marat Freytsis, and Bryan Ostdiek, “(Machine) Learning to Do More with Less,” JHEP 02
2018
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2018
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2018
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2018
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Harish Ramaswamy, Clayton Scott, and Ambuj Tewari, “Mixture proportion estimation via kernel embeddings of distributions,” in Proceedings of The 33rd International Conference on Machine Learning , Proceedings of Machine Learning Research, Vol. 48, edited by Maria Florina Balcan and Kilian Q. Weinberger (PMLR, New York, New York, USA, 2016) pp. 2052–2060
2060
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