[9a-E310-1~11] 18.3 Measurement Informatics

10:30 AM - 10:45 AM JST(1:30 AM - 1:45 AM UTC)

[9a-E310-6] Reconstruction of Plasma Velocity-distribution-function in High-Noise Environments Using Multi-Resolution Data Integration

〇Soma Onishi¹, Kobayashi Tatsuya², Hoshi Takeo², Aonishi Toru¹ (1.Grad. Sch. of Front. Sci. Univ. Tokyo, 2.NIFS)

Keywords:

Measurement Informatics

Accurate measurement of perturbations in plasma velocity distribution functions is essential for achieving high-performance plasmas. However, charge exchange recombination spectroscopy (CXS) suffers from an inherent trade-off between signal intensity and spatial, velocity-space, and temporal resolutions. In this study, we developed a Multi-Resolution Data Integration (MRDI) method that determines optimal binning sizes in a Bayesian framework and integrates multi-resolution datasets. Application to CXS data enabled the clear detection of non-Maxwellian distribution formation immediately after RF heating with a temporal resolution of 0.05 ms.