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We apply techniques from Bayesian generative statistical modeling to uncover hidden features in jet substructure observables that discriminate between different a priori unknown underlying short distance physical processes in multi-jet events.
1902
Earlier work this paper cites.
J. H. Collins, K. Howe, B. Nachman, Extending the search for new resonances with machine learning, Phys. Rev. D99 (1) (2019) 014038 · 1902
Earlier work this paper cites.
J. Neyman, On the problem of the most efficient tests of statistical hypotheses, Phil.Trans.Roy.Soc.Lond. 231 (1933) 289
1933
Earlier work this paper cites.
S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, R. Harshman, Indexing by latent semantic analysis, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE 41 (6) (1990) 391–407
1990
Earlier work this paper cites.
arXiv:hep-ph/9707323
Y. L. Dokshitzer, G. D. Leder, S. Moretti, B. R. Webber, Better jet clustering algorithms, JHEP 08 (1997) 001 · 1997
Earlier work this paper cites.
arXiv:hep-ph/9907280
M. Wobisch, T. Wengler, Hadronization corrections to jet cross-sections in deep inelastic scattering, in: Monte Carlo generators for HERA physics. Proceedings, Workshop, Hamburg, Germany, 1998-1999, 1998, pp. 270–279 · 1998
Earlier work this paper cites.
T. Hofmann, Probabilistic latent semantic analysis (1999) 289–296
1999
Earlier work this paper cites.
K. Nigam, A. K. Mccallum, S. Thrun, T. Mitchell, Text classification from labeled and unlabeled documents using em (1999) 103–134
1999
Earlier work this paper cites.
arXiv:http://www.genetics.org/content/155/2/945.full.pdf
J. K. Pritchard, M. Stephens, P. Donnelly, Inference of population structure using multilocus genotype data , Genetics 155 (2) (2000) 945–959 · 2000
Earlier work this paper cites.
arXiv:hep-ph/0201098
J. M. Butterworth, B. E. Cox, J. R. Forshaw, W W WW scattering at the CERN LHC, Phys. Rev. D65 (2002) 096014 · 2002
Earlier work this paper cites.
D. M. Blei, A. Y. Ng, M. I. Jordan, J. Lafferty, Latent dirichlet allocation, Journal of Machine Learning Research 3 (2003) 2003
2003
Earlier work this paper cites.
arXiv:https://www.pnas.org/content/101/suppl_1/5228.full.pdf
T. L. Griffiths, M. Steyvers, Finding scientific topics , Proceedings of the National Academy of Sciences 101 (suppl 1) (2004) 5228–5235 · 2004
Earlier work this paper cites.
arXiv:hep-ph/0702150
J. M. Butterworth, J. R. Ellis, A. R. Raklev, Reconstructing sparticle mass spectra using hadronic decays, JHEP 05 (2007) 033 · 2007
Earlier work this paper cites.
arXiv:hep-ph/0701247
W. Skiba, D. Tucker-Smith, Using jet mass to discover vector quarks at the LHC, Phys. Rev. D75 (2007) 115010 · 2007
Earlier work this paper cites.
arXiv:hep-ph/0702037
B. Holdom, t-prime at the LHC: The Physics of discovery, JHEP 03 (2007) 063 · 2007
Earlier work this paper cites.
J. M. Butterworth, A. R. Davison, M. Rubin, G. P. Salam, Jet substructure as a new Higgs search channel at the LHC, Phys. Rev. Lett. 100 (2008) 242001 · 2008
Earlier work this paper cites.
M. Gerbush, T. J. Khoo, D. J. Phalen, A. Pierce, D. Tucker-Smith, Color-octet scalars at the CERN LHC, Phys. Rev. D77 (2008) 095003 · 2008
Earlier work this paper cites.
D. E. Kaplan, K. Rehermann, M. D. Schwartz, B. Tweedie, Top Tagging: A Method for Identifying Boosted Hadronically Decaying Top Quarks, Phys. Rev. Lett. 101 (2008) 142001 · 2008
Earlier work this paper cites.
T. Sjostrand, S. Mrenna, P. Z. Skands, A Brief Introduction to PYTHIA 8.1, Comput. Phys. Commun. 178 (2008) 852–867 · 2008
Earlier work this paper cites.
L. G. Almeida, S. J. Lee, G. Perez, I. Sung, J. Virzi, Top Jets at the LHC, Phys. Rev. D79 (2009) 074012 · 2009
Cited alongside, same era.
L. G. Almeida, S. J. Lee, G. Perez, G. F. Sterman, I. Sung, J. Virzi, Substructure of high-pT Jets at the LHC, Phys. Rev. D79 (2009) 074017 · 2009
Cited alongside, same era.
T. Plehn, G. P. Salam, M. Spannowsky, Fat Jets for a Light Higgs, Phys. Rev. Lett. 104 (2010) 111801 · 2010
Cited alongside, same era.
T. Plehn, M. Spannowsky, M. Takeuchi, D. Zerwas, Stop Reconstruction with Tagged Tops, JHEP 10 (2010) 078 · 2010
Cited alongside, same era.
R. Řehůřek, P. Sojka, Software Framework for Topic Modelling with Large Corpora (2010) 45–50 http://is.muni.cz/publication/884893/en
L. M. Dery, B. Nachman, F. Rubbo, A. Schwartzman, Weakly Supervised Classification in High Energy Physics, JHEP 05 (2017) 145 · 2017
Later among the works it cites.
E. M. Metodiev, B. Nachman, J. Thaler, Classification without labels: Learning from mixed samples in high energy physics, JHEP 10 (2017) 174 · 2017
Later among the works it cites.
J. A. Aguilar-Saavedra, J. H. Collins, R. K. Mishra, A generic anti-QCD jet tagger, JHEP 11 (2017) 163 · 2017
Later among the works it cites.
K. Agashe, P. Du, S. Hong, R. Sundrum, Flavor Universal Resonances and Warped Gravity, JHEP 01 (2017) 016 · 2017
Later among the works it cites.
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2010
Cited alongside, same era.
M. D. Hoffman, D. M. Blei, F. Bach, Online learning for latent dirichlet allocation (2010) 856–864. URL http://dl.acm.org/citation.cfm?id=2997189.2997285
2010
Cited alongside, same era.
M. Cacciari, G. P. Salam, G. Soyez, FastJet User Manual, Eur. Phys. J. C72 (2012) 1896 · 2012
Cited alongside, same era.
M. Backovi?, J. Juknevich, TemplateTagger v1.0.0: A Template Matching Tool for Jet Substructure, Comput. Phys. Commun. 185 (2014) 1322–1338 · 2013
Cited alongside, same era.
D. E. Soper, M. Spannowsky, Finding top quarks with shower deconstruction, Phys. Rev. D87 (2013) 054012 · 2013
Cited alongside, same era.
J. Alwall, R. Frederix, S. Frixione, V. Hirschi, F. Maltoni, O. Mattelaer, H. S. Shao, T. Stelzer, P. Torrielli, M. Zaro, The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations, JHEP 07 (2014) 079 · 2014
Cited alongside, same era.
J. de Favereau, C. Delaere, P. Demin, A. Giammanco, V. Lemaître, A. Mertens, M. Selvaggi, DELPHES 3, A modular framework for fast simulation of a generic collider experiment, JHEP 02 (2014) 057 · 2014
Cited alongside, same era.
J. Cogan, M. Kagan, E. Strauss, A. Schwarztman, Jet-Images: Computer Vision Inspired Techniques for Jet Tagging, JHEP 02 (2015) 118 · 2015
Cited alongside, same era.
A. Butter, G. Kasieczka, T. Plehn, M. Russell, Deep-learned Top Tagging with a Lorentz Layer, SciPost Phys. 5 (3) (2018) 028 · 2018
Later among the works it cites.
K. Datta, A. J. Larkoski, Novel Jet Observables from Machine Learning, JHEP 03 (2018) 086 · 2018
Later among the works it cites.
K. Fraser, M. D. Schwartz, Jet Charge and Machine Learning, JHEP 10 (2018) 093 · 2018
Later among the works it cites.
S. Macaluso, D. Shih, Pulling Out All the Tops with Computer Vision and Deep Learning, JHEP 10 (2018) 121 · 2018
Later among the works it cites.
P. T. Komiske, E. M. Metodiev, B. Nachman, M. D. Schwartz, Learning to classify from impure samples with high-dimensional data, Phys. Rev. D98 (1) (2018) 011502 · 2018
Later among the works it cites.
T. Cohen, M. Freytsis, B. Ostdiek, (Machine) Learning to Do More with Less, JHEP 02 (2018) 034 · 2018
Later among the works it cites.
J. H. Collins, K. Howe, B. Nachman, Anomaly Detection for Resonant New Physics with Machine Learning, Phys. Rev. Lett. 121 (24) (2018) 241803 · 2018
Later among the works it cites.
E. M. Metodiev, J. Thaler, Jet Topics: Disentangling Quarks and Gluons at Colliders, Phys. Rev. Lett. 120 (24) (2018) 241602 · 2018
Later among the works it cites.
P. T. Komiske, E. M. Metodiev, J. Thaler, An operational definition of quark and gluon jets, JHEP 11 (2018) 059 · 2018
Later among the works it cites.
K. Agashe, J. H. Collins, P. Du, S. Hong, D. Kim, R. K. Mishra, Detecting a Boosted Diboson Resonance, JHEP 11 (2018) 027 · 2018
Later among the works it cites.
G. Louppe, K. Cho, C. Becot, K. Cranmer, QCD-Aware Recursive Neural Networks for Jet Physics, JHEP 01 (2019) 057 · 2019
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