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Xun Chen/ Associate Scientist of PandaX
Particle and Nuclear Physics Division
N567 chenxun AT sjtu.edu.cn

Educational Background

  • 2005- 2009, Technical University of Munich/Max-Planck Institute of Physics , Doctor
  • 2002- 2005, Peking University , Master
  • 1998- 2002, Peking University , Bachelor

Work Experience

  • 2024-Now, Tsung-Dao Lee Institute, SJTU, Associate Scientist
  • 2019-2024, School of Physics and Astronomy, SJTU, Associate Scientist
  • 2015-2018, School of Physics and Astronomy, SJTU, Assistant Scientist
  • 2013-2015, School of Physics and Astronomy, SJTU, Postdoc
  • 2011-2013, School of Physics, Peking University, Postdoc

Research Interests

  • Direct detection of dark matter
  • Detection of neutrino
  • Data processing in experimental physics
  • Monte Carlo simulation
  • Application of machine learning in particle physics

Honorary Information

  • 1st class prize of natural science award for Excellent Achievement Award in Scientific Research of Higher Education Institutions in 2022 (Science and Technology)

Representative Papers And Monographs

  • Data reduction strategy in the PandaX-4T experiment, Yubo Zhou et al. JINST 19 (2024) 05, P05029
  • Study of background from accidental coincidence signalsin the PandaX-II experiment, Abdusalam Abdukerim et al. Chin.Phys.C 46 (2022) 10, 103001
  • BambooMC — A Geant4-based simulation program for the PandaX experiments, Xun Chen et al. JINST 16 (2021) 09, T09004
  • Results of dark matter search using the full PandaX-II exposure, Qiuhong Wang et al. Chin.Phys.C 44 (2020) 12, 125001
  • Signal-background discrimination with convolutional neural networks in the PandaX-III experiment using MC simulation, Hao Qiao et al. Sci.China Phys.Mech.Astron. 61 (2018) 10, 101007