- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1029-8479
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Jet tagging in the Lund plane with graph networks ; volume:2021 ; number:3 ; day:4 ; month:3 ; year:2021 ; pages:1-23 ; date:3.2021
Journal of high energy physics ; 2021, Heft 3 (4.3.2021), 1-23, 3.2021
- Creator
-
Dreyer, Frédéric A.
Qu, Huilin
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/JHEP03(2021)052
- URN
-
urn:nbn:de:101:1-2021041918440966216714
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dreyer, Frédéric A.
- Qu, Huilin
- SpringerLink (Online service)
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Streamlined jet tagging network assisted by jet prong structure
Lund multiplicity in QCD jets
PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions
Anomaly detection from mass unspecific jet tagging
Jet dipolarity: top tagging with color flow
Mass Unspecific Supervised Tagging (MUST) for boosted jets
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
The Lund jet plane
Calculating the primary Lund Jet Plane density
Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane
Jet tagging made easy
An efficient Lorentz equivariant graph neural network for jet tagging
Streamlined jet tagging network assisted by jet prong structure
Lund multiplicity in QCD jets
PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions
Anomaly detection from mass unspecific jet tagging
Jet dipolarity: top tagging with color flow
Mass Unspecific Supervised Tagging (MUST) for boosted jets
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
The Lund jet plane
Calculating the primary Lund Jet Plane density
Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane
Jet tagging made easy
An efficient Lorentz equivariant graph neural network for jet tagging
Streamlined jet tagging network assisted by jet prong structure
Lund multiplicity in QCD jets
PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions
Anomaly detection from mass unspecific jet tagging
Jet dipolarity: top tagging with color flow
Mass Unspecific Supervised Tagging (MUST) for boosted jets