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Yamatani Masahiro  山谷 昌大

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Masahiro Yamatani  山谷 昌大

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Researcher Number 80896275
Affiliation (Current) 2025: 国立研究開発法人宇宙航空研究開発機構, 宇宙科学研究所, 招聘職員
Affiliation (based on the past Project Information) *help 2022 – 2023: 国立研究開発法人宇宙航空研究開発機構, 宇宙科学研究所, 招聘職員
Review Section/Research Field
Principal Investigator
Basic Section 15020:Experimental studies related to particle-, nuclear-, cosmic ray and astro-physics
Keywords
Principal Investigator
宇宙線物理 / 気球 / 反粒子 / 宇宙線 / ダークマター探索 / 反重陽子
  • Research Projects

    (1 results)
  • Research Products

    (4 results)
  •  The GAPS Project for Ultra-High Sensitivity Observation of Cosmic Ray Antiparticles in the Search for Dark MatterPrincipal Investigator

    • Principal Investigator
      Masahiro Yamatani
    • Project Period (FY)
      2022 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 15020:Experimental studies related to particle-, nuclear-, cosmic ray and astro-physics
    • Research Institution
      Japan Aerospace EXploration Agency

All 2023 2022

All Journal Article Presentation

  • [Journal Article] New Particle Identification Approach with Convolutional Neural Networks in GAPS2023

    • Author(s)
      Masahiro YAMATANI, Yusuke NAKAGAMI, Hideyuki FUKE, Akiko KAWACHI, Masayoshi KOZAI, Yuki SHIMIZU, Tetsuya YOSHIDA
    • Journal Title

      Journal of Evolving Space Activities

      Volume: 1 Issue: 0 Pages: n/a

    • DOI

      10.57350/jesa.9

    • ISSN
      2758-1802
    • Language
      English
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K14065, KAKENHI-PROJECT-20K04002, KAKENHI-PROJECT-22KK0042, KAKENHI-PROJECT-23K03436
  • [Journal Article] Sensitivity of the GAPS experiment to low-energy cosmic-ray antiprotons2023

    • Author(s)
      F. Rogers, T. Aramaki, M. Yamatani, 他 (53人中47番目)
    • Journal Title

      Astroparticle Physics

      Volume: 145 Pages: 102791-102791

    • DOI

      10.1016/j.astropartphys.2022.102791

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K14065, KAKENHI-PROJECT-22KK0042, KAKENHI-PROJECT-20K04002, KAKENHI-PROJECT-22H00147
  • [Presentation] Antiparticles identification for the GAPS experiment2022

    • Author(s)
      M.Yamatani
    • Organizer
      RIKEN iTHEMS Dark Matter Workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K14065
  • [Presentation] New Particle Identification Approach with Convolutional Neural Network in GAPS2022

    • Author(s)
      Masahiro Yamatani
    • Organizer
      The 33rd International Symposium and Space Technology and Science
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K14065

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