Development and installation of the KSTAR Lyman alpha diagnostic

POSTER

Abstract

Understanding neutral density in the plasma edge is essential for advancing particle transport theory and interpreting confinement transitions. While Balmer alpha and LIF diagnostics have been widely used, the Lyman alpha diagnostics offers higher signal-to-noise ratio and reduces molecular contributions. A new Lyman alpha diagnostic system has been developed, installed, and is planned (during 2025 KSTAR campaign) for commissioning on the KSTAR tokamak to measure neutral deuterium density near a lower divertor region including the magnetic X-point and the scrape-off layer region. The system employs a compact three-mirror pinhole camera optimized for 121.6 nm VUV emission. A 20-channel AXUV photodiode array observes a 20 cm × 8 cm region centered around the magnetic X-point and aligned along the line connecting the magnetic axis and the X-point. The optical layout is designed and optimized using the V-KSTAR platform on the KAIROS supercomputer, enabling virtual prototyping of a mirror geometry, ray paths, and a field of view. An algorithm to generate synthetic data is also developed to infer neutral density from brightness profiles using EFIT equilibria and SOLPS-ITER simulation results. Vacuum leak testing and in-vessel optical alignment have been successfully completed, and final commissioning is now in progress. We anticipate that this diagnostic system will yield new insights for neutral fueling and recycling as well as edge plasma behavior during upcoming KSTAR campaigns.

*This work was supported by R&D Program of "High Performance Tokamak Plasma Research & Development(Code No.EN2501)" and "Korea-US Collaboration Research for High Performance Plasma on Tungsten Divertor(Code No.EN2503)" through the Korea Institute of Fusion Energy (KFE) funded by the Government funds, Republic of Korea. This work was also supported by the National R&D Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (Grant Nos. RS-2022-00155917 and NRF2021R1A2C2005654).

Presenters

  • Jae-seok Lee

    • Korea Institute of Fusion Energy, Korea Advanced Institute of Science and Technology

Authors

  • Jae-seok Lee

    • Korea Institute of Fusion Energy, Korea Advanced Institute of Science and Technology
  • Kwan Chul Lee

    • Korea Institute of Fusion Energy
  • Taeuk Moon

    • Ulsan National Institute of Science and Technology
  • Jae-Min Kwon

    • Korea Institute of Fusion Energy (KFE)
    • Korea Institute of Fusion energy
  • Eisung Yoon

    • Ulsan Natl Inst of Sci & Tech
  • Yong-Seon Kim

    • Korea Institute of Fusion Energy
  • Young-chul Ghim

    • KAIST