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The Machine Learning landscape of top taggers

Journal Article · · SciPost Physics
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  1. University of Hamburg
  2. Heidelberg University
  3. New York University
  4. Rutgers, The State University of New Jersey
  5. Jožef Stefan Institute
  6. King's College London
  7. University of British Columbia
  8. University of California, Santa Barbara
  9. Jožef Stefan Institute, University of Ljubljana
  10. Massachusetts Institute of Technology
  11. New York University, Rutgers, The State University of New Jersey
  12. Université catholique de Louvain
  13. Lawrence Berkeley National Laboratory, University of California, Berkeley
  14. Laboratory of Theoretical and High Energy Physics, National Institute for Subatomic Physics
  15. RWTH Aachen University
+ Show Author Affiliations

Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established methods they rely on low-level input, for instance calorimeter output. While their network architectures are vastly different, their performance is comparatively similar. In general, we find that these new approaches are extremely powerful and great fun.

Research Organization:
Univ. of California, Santa Barbara, CA (United States)
Sponsoring Organization:
NSF; USDOE; USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
AC02-05CH11231; SC0011090; SC0011702; SC0012567
OSTI ID:
1568892
Alternate ID(s):
OSTI ID: 1777252
Journal Information:
SciPost Physics, Journal Name: SciPost Physics Journal Issue: 1 Vol. 7; ISSN 2542-4653
Publisher:
Stichting SciPostCopyright Statement
Country of Publication:
Netherlands
Language:
English

References (57)

Searches for new particles using cone and cluster jet algorithms: a comparative study journal March 1994
QCD-aware recursive neural networks for jet physics journal January 2019
Energy flow networks: deep sets for particle jets journal January 2019
Maximizing boosted top identification by minimizing N-subjettiness journal February 2012
DELPHES 3: a modular framework for fast simulation of a generic collider experiment journal February 2014
Jet-images: computer vision inspired techniques for jet tagging journal February 2015
(Machine) learning to do more with less journal February 2018
Infrared safety of a neural-net top tagging algorithm journal February 2019
Identifying boosted objects with N-subjettiness journal March 2011
Energy flow polynomials: a complete linear basis for jet substructure journal April 2018
Soft drop journal May 2014
Deep-learning top taggers or the end of QCD? journal May 2017
Weakly supervised classification in high energy physics journal May 2017
Variational autoencoders for new physics mining at the Large Hadron Collider journal May 2019
Energy correlation functions for jet substructure journal June 2013
Resonance searches with an updated top tagger journal June 2015
How much information is in a jet? journal June 2017
Playing tag with ANN: boosted top identification with pattern recognition journal July 2015
Jet-images — deep learning edition journal July 2016
Stop reconstruction with tagged tops journal October 2010
Classification without labels: learning from mixed samples in high energy physics journal October 2017
Pulling out all the tops with computer vision and deep learning journal October 2018
New angles on energy correlation functions journal December 2016
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis journal September 2017
Rivet user manual journal December 2013
An introduction to PYTHIA 8.2 journal June 2015
Jet substructure at the Tevatron and LHC: new results, new tools, new benchmarks journal May 2012
Top tagging journal May 2012
t ′ at the LHC: the physics of discovery journal March 2007
The anti- k t jet clustering algorithm journal April 2008
Lorentz Boost Networks: autonomous physics-inspired feature engineering journal June 2019
Successive combination jet algorithm for hadron collisions journal October 1993
Using jet mass to discover vector quarks at the CERN LHC journal June 2007
Color-octet scalars at the CERN LHC journal May 2008
Top quark jets at the LHC journal April 2009
Substructure of high- p T jets at the LHC journal April 2009
Finding top quarks with shower deconstruction journal March 2013
Finding physics signals with event deconstruction journal May 2014
Jet substructure classification in high-energy physics with deep neural networks journal May 2016
Parton shower uncertainties in jet substructure analyses with deep neural networks journal January 2017
Learning to classify from impure samples with high-dimensional data journal July 2018
Jet Substructure as a New Higgs-Search Channel at the Large Hadron Collider journal June 2008
Top Tagging: A Method for Identifying Boosted Hadronically Decaying Top Quarks journal October 2008
Fat Jets for a Light Higgs Boson journal March 2010
Seeing in Color: Jet Superstructure journal July 2010
The use of Multiple Measurements in Taxonomic Problems journal September 1936
Boosted objects: a probe of beyond the standard model physics journal June 2011
FastJet user manual: (for version 3.0.2) journal March 2012
Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012 journal March 2014
Towards an understanding of the correlations in jet substructure: Report of BOOST2013, hosted by the University of Arizona, 12th–16th of August 2013 journal September 2015
Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 journal July 2017
JUNIPR: a framework for unsupervised machine learning in particle physics journal February 2019
Performance of top-quark and $$\varvec{W}$$ W -boson tagging with ATLAS in Run 2 of the LHC journal April 2019
Measuring Multijet Structure of Hadronic Energy Flow or, What is a jet? journal December 1997
Software Framework for Topic Modelling with Large Corpora text January 2010
Deep-learned Top Tagging with a Lorentz Layer journal January 2018
QCD or what? journal January 2019

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