# Bayesian inference of ion velocity distribution function from laser-induced fluorescence spectra Source: [Bayesian inference of ion velocity distribution function from laser-induced fluorescence spectra]() Collection index: [llms.txt]() Data updated: 2025-10-25T02:43:36.732Z Authors: Satoru Tokuda, Yuichi Kawachi, Makoto Sasaki, Hiroyuki Arakawa, Kotaro Yamasaki, Kenichiro Terasaka, Shigeru Inagaki Published: 2021-10-21T09:07:00.000Z ## Abstract The velocity distribution function is a statistical description that connects particle kinetics and macroscopic parameters in many-body systems. Laser-induced fluorescence (LIF) spectroscopy is utilized to measure the local velocity distribution function in spatially inhomogeneous plasmas. However, the analytic form of such a function for the system of interest is not always clear under the intricate factors in non-equilibrium states. Here, we propose a novel approach to select the valid form of the velocity distribution function based on Bayesian statistics. We formulate the Bayesian inference of ion velocity distribution function and apply it to LIF spectra locally observed at several positions in a linear magnetized plasma. We demonstrate evaluating the spatial inhomogeneity by verifying each analytic form of the local velocity distribution function. Our approach is widely applicable to experimentally establish the velocity distribution function in plasmas and fluids, including gases and liquids. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. ## Original sources and implementation [Original paper]() [PDF]()