DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Weakly supervised classification in high energy physics

Authors:
 [1];  [2]; ORCiD logo [3];  [3]
  1. Stanford Univ., CA (United States). Dept. of Physics
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physics Division
  3. SLAC National Accelerator Lab., Menlo Park, CA (United States)
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1369428
Alternate Identifier(s):
OSTI ID: 1379863
Grant/Contract Number:  
AC02-76SF00515; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Journal of High Energy Physics (Online)
Additional Journal Information:
Journal Name: Journal of High Energy Physics (Online); Journal Volume: 2017; Journal Issue: 5; Journal ID: ISSN 1029-8479
Publisher:
Springer Berlin
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 97 MATHEMATICS AND COMPUTING; Jets

Citation Formats

Dery, Lucio Mwinmaarong, Nachman, Benjamin, Rubbo, Francesco, and Schwartzman, Ariel. Weakly supervised classification in high energy physics. United States: N. p., 2017. Web. doi:10.1007/JHEP05(2017)145.
Dery, Lucio Mwinmaarong, Nachman, Benjamin, Rubbo, Francesco, & Schwartzman, Ariel. Weakly supervised classification in high energy physics. United States. https://doi.org/10.1007/JHEP05(2017)145
Dery, Lucio Mwinmaarong, Nachman, Benjamin, Rubbo, Francesco, and Schwartzman, Ariel. Mon . "Weakly supervised classification in high energy physics". United States. https://doi.org/10.1007/JHEP05(2017)145. https://www.osti.gov/servlets/purl/1369428.
@article{osti_1369428,
title = {Weakly supervised classification in high energy physics},
author = {Dery, Lucio Mwinmaarong and Nachman, Benjamin and Rubbo, Francesco and Schwartzman, Ariel},
abstractNote = {},
doi = {10.1007/JHEP05(2017)145},
journal = {Journal of High Energy Physics (Online)},
number = 5,
volume = 2017,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 68 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

The anti- k t jet clustering algorithm
journal, April 2008


Solving the multiple instance problem with axis-parallel rectangles
journal, January 1997

  • Dietterich, Thomas G.; Lathrop, Richard H.; Lozano-Pérez, Tomás
  • Artificial Intelligence, Vol. 89, Issue 1-2
  • DOI: 10.1016/S0004-3702(96)00034-3

Measurement of electroweak production of two jets in association with a Z boson in proton–proton collisions at $$\sqrt{s}=8\,\text {TeV}$$ s = 8 TeV
journal, February 2015


A brief introduction to PYTHIA 8.1
journal, June 2008

  • Sjöstrand, Torbjörn; Mrenna, Stephen; Skands, Peter
  • Computer Physics Communications, Vol. 178, Issue 11
  • DOI: 10.1016/j.cpc.2008.01.036

Review of Particle Physics
journal, August 2014


Identification of boosted, hadronically decaying W bosons and comparisons with ATLAS data taken at $$\sqrt{s} = 8$$ s = 8  TeV
journal, March 2016


A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX
journal, June 2010

  • Alioli, Simone; Nason, Paolo; Oleari, Carlo
  • Journal of High Energy Physics, Vol. 2010, Issue 6
  • DOI: 10.1007/JHEP06(2010)043

PYTHIA 6.4 physics and manual
journal, May 2006


Deep learning in color: towards automated quark/gluon jet discrimination
journal, January 2017

  • Komiske, Patrick T.; Metodiev, Eric M.; Schwartz, Matthew D.
  • Journal of High Energy Physics, Vol. 2017, Issue 1
  • DOI: 10.1007/JHEP01(2017)110

The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
journal, July 2014

  • Alwall, J.; Frederix, R.; Frixione, S.
  • Journal of High Energy Physics, Vol. 2014, Issue 7
  • DOI: 10.1007/JHEP07(2014)079

Parton fragmentation and string dynamics
journal, July 1983


FastJet user manual: (for version 3.0.2)
journal, March 2012


Quark and gluon jet properties in symmetric three-jet events
journal, September 1996


Event generation with SHERPA 1.1
journal, February 2009


Multiple instance classification: Review, taxonomy and comparative study
journal, August 2013


The PDF4LHC report on PDFs and LHC data: results from Run I and preparation for Run II
journal, September 2015

  • Rojo, Juan; Accardi, Alberto; Ball, Richard D.
  • Journal of Physics G: Nuclear and Particle Physics, Vol. 42, Issue 10
  • DOI: 10.1088/0954-3899/42/10/103103

Search for the standard model Higgs boson produced through vector boson fusion and decaying to b b ¯
journal, August 2015


A QCD model for jet fragmentation including soft gluon interference
journal, June 1984


Light-quark and gluon jet discrimination in $$pp$$ p p collisions at $$\sqrt{s}=7\mathrm {\ TeV}$$ s = 7 TeV with the ATLAS detector
journal, August 2014


Herwig++ physics and manual
journal, November 2008


Quark and Gluon Tagging at the LHC
journal, October 2011


Quark-gluon discrimination in the search for gluino pair production at the LHC
journal, January 2017

  • Bhattacherjee, Biplob; Mukhopadhyay, Satyanarayan; Nojiri, Mihoko M.
  • Journal of High Energy Physics, Vol. 2017, Issue 1
  • DOI: 10.1007/JHEP01(2017)044

Gaining (mutual) information about quark/gluon discrimination
journal, November 2014

  • Larkoski, Andrew J.; Thaler, Jesse; Waalewijn, Wouter J.
  • Journal of High Energy Physics, Vol. 2014, Issue 11
  • DOI: 10.1007/JHEP11(2014)129

Performance of b -jet identification in the ATLAS experiment
journal, January 2016


Identification of b-quark jets with the CMS experiment
journal, April 2013


From Group to Individual Labels Using Deep Features
conference, January 2015

  • Kotzias, Dimitrios; Denil, Misha; de Freitas, Nando
  • Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
  • DOI: 10.1145/2783258.2783380

Review of Particle Physics
text, January 2008


Event generation with SHERPA 1.1
text, January 2009

  • Gleisberg, T.; Höche, S.; Krauss, F.
  • Institute of Physics Publishing
  • DOI: 10.5167/uzh-32078

Search for the standard model Higgs boson produced through vector boson fusion and decaying to b¯b
text, January 2015


Review of Particle Physics
text, January 2018


Review of Particle Physics
text, January 2012

  • Beringer, J.; Arguin, J.; Barnett, R.
  • Deutsches Elektronen-Synchrotron, DESY, Hamburg
  • DOI: 10.3204/phppubdb-24149

Identification of b-quark jets with the CMS experiment
text, January 2013


Search for the standard model Higgs boson produced through vector boson fusion and decaying to $b\bar{b}$
text, January 2015

  • Collaboration, Cms; Khachatryan, V.; Sirunyan, A. M.
  • American Physical Society
  • DOI: 10.5167/uzh-122858

The anti-k_t jet clustering algorithm
text, January 2008


Herwig++ Physics and Manual
text, January 2008


Quark and Gluon Tagging at the LHC
text, January 2011


Deep learning in color: towards automated quark/gluon jet discrimination
text, January 2016


Works referencing / citing this record:

A theory of quark vs. gluon discrimination
journal, October 2019

  • Larkoski, Andrew J.; Metodiev, Eric M.
  • Journal of High Energy Physics, Vol. 2019, Issue 10
  • DOI: 10.1007/jhep10(2019)014

Sedimentation mapping in shallow shoreline of arid environments using active remote sensing data
journal, September 2019


A framework for evaluation in learning from label proportions
journal, May 2019


Identifying the Relevant Dependencies of the Neural Network Response on Characteristics of the Input Space
journal, September 2018

  • Wunsch, Stefan; Friese, Raphael; Wolf, Roger
  • Computing and Software for Big Science, Vol. 2, Issue 1
  • DOI: 10.1007/s41781-018-0012-1

On asymptotic charges in 3D gravity
journal, January 2020

  • Bergshoeff, Eric A.; Merbis, Wout; Townsend, Paul K.
  • Classical and Quantum Gravity, Vol. 37, Issue 3
  • DOI: 10.1088/1361-6382/ab5ea5

Guiding new physics searches with unsupervised learning
journal, March 2019


On asymptotic charges in 3D gravity
text, January 2020

  • Bergshoeff, Ea; Merbis, W.; Townsend, Paul
  • Apollo - University of Cambridge Repository
  • DOI: 10.17863/cam.49860

Automating the construction of jet observables with machine learning
text, January 2019


The Machine Learning landscape of top taggers
text, January 2019


Systematics of quark/gluon tagging
text, January 2017


(Machine) Learning to Do More with Less
text, January 2017


Energy flow polynomials: A complete linear basis for jet substructure
text, January 2017


Learning to Classify from Impure Samples with High-Dimensional Data
text, January 2018


Energy Flow Networks: Deep Sets for Particle Jets
text, January 2018


Investigating the Topology Dependence of Quark and Gluon Jets
text, January 2018


Automating the Construction of Jet Observables with Machine Learning
text, January 2019


Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra
text, January 2019


A Theory of Quark vs. Gluon Discrimination
text, January 2019


CapsNets Continuing the Convolutional Quest
text, January 2019