Bayesian inference of axisymmetric plasma equilibrium

التفاصيل البيبلوغرافية
العنوان: Bayesian inference of axisymmetric plasma equilibrium
المؤلفون: Sehyun Kwak, J. Svensson, O. Ford, L. Appel, Y.-c. Ghim, JET Contributors
المساهمون: JET Contributors
المصدر: Nuclear Fusion
بيانات النشر: IOP Publishing, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Nuclear and High Energy Physics, Condensed Matter Physics
الوصف: We present a Bayesian method for inferring axisymmetric plasma equilibria from the magnetic field and plasma pressure measurements. The method calculates all possible solutions for plasma current and pressure distributions consistent with the measurements and magnetohydrodynamic (MHD) force balance. Toroidal plasma current and magnetic field coils are modelled as a set of axisymmetric current-carrying solid beams. The other parameters such as plasma pressure and poloidal current flux are given as a function of poloidal magnetic flux, which is determined given a 2D current distribution. Plasma pressure and poloidal current flux profiles are modelled as Gaussian processes whose smoothness is optimally chosen based on the principle of Occam’s razor. To find equilibrium solutions, we introduce an MHD force balance constraint at every plasma current beam as a part of the prior knowledge. Given all these physical quantities, predictions calculated by the predictive (forward) models for diagnostics are compared to the observations. The high dimensional complex posterior probability distribution is explored by a new algorithm based on the Gibbs sampling scheme.
وصف الملف: application/pdf
تدمد: 1741-4326
0029-5515
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b50ef515ab6c02ce823d62aa69363924
https://doi.org/10.1088/1741-4326/ac9c19
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....b50ef515ab6c02ce823d62aa69363924
قاعدة البيانات: OpenAIRE