Bayesian inference proves to be a robust tool for the fitting of parametric models on experimental datasets. In the case of electron kinetics, it can help the identification of non-thermal components in electron population and their relation with plasma parameters and dynamics. We present here a tool for electron distribution reconstruction based on MCMC (Monte Carlo Markov Chain) based Bayesian inference on Thomson Scattering data, discussing the computational performances of different algorithms and information metrics. Along, a possible integration between Soft X-ray spectroscopy and Thomson Scattering is presented, focusing on the parametric optimization of diagnostics spectral channels in different plasma regimes.
Bayesian inference applied to electron temperature data: computational performances and diagnostics integration
Fassina A.; Abate D.; Franz P.
Journal:
Journal of instrumentation 17 (9),
pp. C09012-1 - C09012-6
Year:
2022
ISTP Authors:
Keywords: Data processing methods, RF, Plasma generation, laser-produced, x ray-produced
Research Activitie: JOURNAL ARTICLES
Related products
-
Review of scientific instruments 92 (4), pp. 043556-1 - 043556-6 Year: 2021 DOI: 10.1063/5.0043669
Design of JT-60SA core Thomson scattering diagnostic system
Tojo H.; Pasqualotto R.; Fassina A.; Giudicotti L.; Sasao H.; Homma H.; Oyama N.
-
Trends in Environmental Analytical Chemistry 30 pp. e00121-1 - e00121-12 Year: 2021 DOI: 10.1016/j.teac.2021.e00121
Laser-Induced Breakdown Spectroscopy applied to environmental systems and their potential contaminants. An overview of advances achieved in the last few years
Goncalves D.A.; Senesi G.S.; Nicolodelli G.
-
Monthly notices of the Royal Astronomical Society (Online) 503 (4), pp. 4815 - 4827 Year: 2021 DOI: 10.1093/mnras/stab319
Comparing turbulence in a Kelvin-Helmholtz instability region across the terrestrial magnetopause
Quijia, P.; Fraternale, F.; Stawarz, J.E.; Vasconez, C.L.; Perri, S.; Marino, R.; Yordanova, E.; Sorriso-Valvo, L.
English
Italiano