Modern methods and numerical approaches for analysing the Sun’s dynamic atmosphere

Topic: Solar Physics

Description: The solar atmosphere exhibits highly dynamic phenomena, such as vortices, MHD waves, bright points, and instabilities, in addition to magnetic reconnection events such as flares and jets. These phenomena are largely governed by the photospheric magnetic and velocity fields, which produce the complex system seen in the solar atmosphere. Progress in analysing the dynamics of the solar atmosphere has been achieved through observational inference and numerical simulations. Ground- and space-based instruments now provide unprecedented insights into the interaction between the magnetic field and plasma flows, revealing new phenomena like campfires, switchbacks, and coronal rain. Modern techniques for data analysis, such as machine learning, data-driven modal decomposition (POD, DMD, SPOD), and advanced image processing, are employed throughout many areas of research, although their full potential in solar physics is yet to be realised. Simultaneously, HPC simulations and numerical methods have advanced significantly. New techniques allow for the study of inherently complex physics, such as shocks and anisotropic thermal conduction. Improved computing capabilities, including GPU-accelerated systems, enable faster simulations, allowing for greater ambition when modelling. With these advances, major outstanding questions in solar physics can be addressed, such as the generation of MHD waves, the behaviour of magnetic fields across different atmospheric layers, and the transportation of energy throughout the atmosphere. This session welcomes presentations demonstrating how recent developments in observational and computational tools, along with methodological refinements, shed light on dynamic solar phenomena. Submissions bridging observations and simulations are particularly encouraged.

Organisers: Suzana de Souza e Almeida Silva, Jack Reid, Max Mcmurdo, Cosima Breu, Luiz Augustos Schiavo, Jordi De Jonghe, Thomas Howson, Samuel Skirvin, Daniel Johnson

Schedule:

Session 1: Wednesday 17th July, 09:00 – 11:00

Session 2: Wednesday 17th July, 15:00 – 17:00