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Deep-learned event variables for collider phenomenology

Doojin Kim1,*, Kyoungchul Kong2,†, Konstantin T. Matchev3,‡, Myeonghun Park4,5,6,§, and Prasanth Shyamsundar7,∥

  • 1Mitchell Institute for Fundamental Physics and Astronomy, Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843, USA
  • 2Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
  • 3Institute for Fundamental Theory, Physics Department, University of Florida, Gainesville, Florida 32611, USA
  • 4Institute of Convergence Fundamental Studies, Seoultech, Seoul 01811, Korea
  • 5School of Physics, KIAS, Seoul 02455, Korea
  • 6Center for Theoretical Physics of the Universe, Institute for Basic Science, Daejeon 34126 Korea
  • 7Fermilab Quantum Institute, Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA

  • *doojin.kim@tamu.edu
  • †kckong@ku.edu
  • ‡matchev@ufl.edu
  • §parc.seoultech@seoultech.ac.kr
  • ∥prasanth@fnal.gov

Exploring the synergy of kinematics and dynamics for collider physics

Kayoung Ban, Kyoungchul Kong, Myeonghun Park, and Seong Chan Park

Phys. Rev. D 110 115035 (2024)

MTN is all you need: Production of multiple semi-invisible resonances at hadron colliders

Zhongtian Dong, Kyoungchul Kong, Konstantin T. Matchev, and Katia Matcheva

Mod. Phys. Lett. A 39 2450144 (2024)

Hypergraphs in LHC phenomenology — the next frontier of IRC-safe feature extraction

Partha Konar, Vishal S. Ngairangbam, and Michael Spannowsky

J. High Energ. Phys. 2024 113 (2024)

Optimal mass variables for semivisible jets

Kevin Pedro and Prasanth Shyamsundar

SciPost Phys. Core 6 067 (2023)

Kinematic variables and feature engineering for particle phenomenology

Roberto Franceschini, Doojin Kim, Kyoungchul Kong, Konstantin T. Matchev, Myeonghun Park, and Prasanth Shyamsundar

Rev. Mod. Phys. 95 045004 (2023)

Missing information search with deep learning for mass estimation

Kayoung Ban, Dong Woo Kang, Tae-Geun Kim, Seong Chan Park, and Yeji Park

Phys. Rev. Research 5 043186 (2023)

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