1 citations · 1 across the 3 of their papers we have counts for
5 papers
Two-component Bayesian modeling in the data analysis of collective Thomson scattering
Akito Nakano, Kentaro Sakai, Hantao Ji +3
We apply Bayesian inference to the analysis of collective Thomson scattering (CTS) spectra, a diagnostic technique for determining local plasma parameters. Using the population ann…
Bayesian inference of non-Maxwellian distribution functions from collective Thomson scattering spectra
Kentaro Sakai, ByungJun Kang, Akito Nakano +1
We investigate Bayesian inference of non-Maxwellian electron distribution functions from collective Thomson scattering (CTS) spectra. We represent distribution functions using mult…
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…
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…
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…