[P-EM10] Frontiers in solar physics

[PEM10-11] Cross-disciplinary study on heating, transport, and turbulence dynamics in solar/astrophysical and fusion/laboratory plasmas: SoLaBo-X

*Motoki Nakata¹, Ryohtaroh T Ishikawa⁴, Yukio Katsukawa², Yohei Masada⁵, Tatsuya Kobayashi¹, Munehito Shoda², Shinsuke Imada³, Shin Toriumi⁶, Kenichi Nagaoka¹, SoLaBo-X project^1,2 (1.National Institute for Fusion Science , 2.National Astronomical Observatory of Japan, 3.Institute for Space-Earth Environmental Research , 4.The Graduate University for Advanced Studies, 5.Aichi University of Education, 6.Japan Aerospace Exploration Agency Institute of Space and Astronautical Science)

Keywords:turbulence , solar plasmas , fusion plasmas , cross-disciplinary study

A cross-disciplinary research activity for solar/astrophysical and fusion/laboratory plasmas “SoLaBo-X (Solar + Laboratory + Cross-disciplinary)” is presented. Multi-scale interactions and the energy transfer processes among the microscopic fluctuations and the macroscopic structures are key ingredients to elucidate long-standing issues, e.g., solar coronal heating, solar wind accelerations, and turbulence suppressions by spontaneously generated zonal flows in fusion plasmas. Beyond large difference of the mean plasma parameters, our joint-study project focuses on the turbulence dynamics and associated heating and transport processes in solar and magnetically confined plasmas. Two major directions have been specified, i.e., (1)Energy transfer analyses based on the higher order turbulence correlations in multi-component turbulent fields, and (2)Deep-learning-assisted fast and accurate evaluations/predictions of the spatio-temporal structures in the turbulent fields. In these directions, several research topics have been addressed: (i)Visualization experiments and the image analysis of electrically-driven turbulent convections in relevance to the dynamics in the solar tachocline, (ii)Statistical analysis and modeling of entropy-gradient-driven(local) and cooling-driven(nonlocal) turbulence in the solar convection zone, (iii)Multi-scale convolutional neural network modeling for the fast predictions of hardly-observable turbulence fields(e.g., horizontal velocity and/or magnetic fields, etc. ) from the observables(e.g., continuum intensity and/or vertical velocity, etc. ), and (iv)Extended modeling of the electron parallel energy transport and the experimental verification in a linear plasma device with the direct measurement of the electron energy distribution function.