3 papers
stat.CO2026
Heteroscedastic Neural Surrogate Modeling for Robust and Rapid Bayesian Inference in Fusion Plasma Diagnostics
Liyun Zhang, Naoya Mamada, Kentaro Sakai +2
Bayesian inference via Markov Chain Monte Carlo (MCMC) provides effective parameter estimation, but its real-time application in complex physical systems is hindered by heavy compu…
physics.plasm-ph2025
Conceptual design of Thomson scattering system with high wavelength resolution in magnetically confined plasmas for electron phase-space measurements
Kentaro Sakai, Kentaro Tomita, Takeo Hoshi +4
We discuss the conceptual design of a spatially-resolved spectroscopy system of Thomson scattering with high wavelength resolution capable of measuring the shape of electron veloci…
physics.plasm-ph2025
Monte Carlo simulation method for incoherent Thomson scattering spectra from arbitrary electron distribution functions
Kentaro Sakai, Kentaro Tomita, Takeo Hoshi +1
We developed a Monte Carlo simulation method to calculate incoherent Thomson scattering spectra in high temperature plasmas. The basic idea is to treat the entire scattering proces…