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Title: Systematics of quark/gluon tagging

Journal Article · · Journal of High Energy Physics (Online)
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10]
  1. Univ. of Paris-Saclay, Gif-sur-Yvette (France)
  2. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  3. Univ. of Witwatersrand, Johannesburg (South Africa)
  4. Reed College, Portland, OR (United States)
  5. Lund Univ. (Sweden)
  6. Univ. of Durham (United Kingdom); Univ. of Manchester (United Kingdom)
  7. European Organization for Nuclear Research (CERN), Geneva (Switzerland); Polish Academy of Sciences (PAS), Sopot (Poland). Inst. of Nuclear Physics
  8. Monash Univ., Clayton, VIC (Australia)
  9. Alternative Energies and Atomic Energy Commission (CEA), Saclay (France)
  10. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

By measuring the substructure of a jet, one can assign it a “quark” or “gluon” tag. In the eikonal (double-logarithmic) limit, quark/gluon discrimination is determined solely by the color factor of the initiating parton (CF versus CA). In this paper, we confront the challenges faced when going beyond this leading-order understanding, using both parton-shower generators and first-principles calculations to assess the impact of higher-order perturbative and nonperturbative physics. Working in the idealized context of electron-positron collisions, where one can define a proxy for quark and gluon jets based on the Lorentz structure of the production vertex, we find a fascinating interplay between perturbative shower effects and nonperturbative hadronization effects. Turning to proton-proton collisions, we highlight a core set of measurements that would constrain current uncertainties in quark/gluon tagging and improve the overall modeling of jets at the Large Hadron Collider.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1374262
Journal Information:
Journal of High Energy Physics (Online), Vol. 2017, Issue 7; ISSN 1029-8479
Publisher:
Springer BerlinCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 80 works
Citation information provided by
Web of Science

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Cited By (24)

Aspects of track-assisted mass journal March 2019
Recursive Neural Networks in Quark/Gluon Tagging journal June 2018
Analysis of long-lived particle decays with the MATHUSLA detector journal January 2018
Improving the simulation of quark and gluon jets with Herwig 7 journal December 2017
Performance of top-quark and $$\varvec{W}$$ W -boson tagging with ATLAS in Run 2 of the LHC journal April 2019
FCC Physics Opportunities: Future Circular Collider Conceptual Design Report Volume 1 journal June 2019
Constraining anomalous gluon self-interactions at the LHC: a reappraisal journal July 2018
Quark jet versus gluon jet: fully-connected neural networks with high-level features journal June 2019
Measurement of jet-substructure observables in top quark, $W$ boson and light jet production in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector text January 2019
FCC Physics Opportunities text January 2019
Constraining anomalous gluon self-interactions at the LHC: a reappraisal text January 2018
Measurement of jet-substructure observables in top quark, W boson and light jet production in proton-proton collisions at √s = 13 TeV with the ATLAS detector text January 2019
Measurement of jet-substructure observables in top quark, W boson and light jet production in proton-proton collisions at s = 13 TeV with the ATLAS detector text January 2019
Jet Substructure Studies with CMS Open Data text January 2017
Casimir Meets Poisson: Improved Quark/Gluon Discrimination with Counting Observables text January 2017
Analysis of Long Lived Particle Decays with the MATHUSLA Detector text January 2017
Energy flow polynomials: A complete linear basis for jet substructure text January 2017
Jet angularity measurements for single inclusive jet production text January 2018
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
Phenomenology with a recoil-free jet axis: TMD fragmentation and the jet shape text January 2018
Quark-Gluon Tagging: Machine Learning vs Detector text January 2018
A Theory of Quark vs. Gluon Discrimination text January 2019

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