Speaker
Description
I present an efficient approach to visualizing 3D numerical simulation results using the Julia programming language, highlighting Julia’s growing ecosystem as a powerful tool for modern computational astrophysics. Leveraging Julia's high-level syntax, speed, and packages such as HDF5.jl, GLMakie.jl, and Meshes.jl, using an example from state-of-the-art simulation of a magnetized torus around supermassive black hole with Athena++ code, I demonstrate a workflow for interactive and scalable visualization of 3D simulations data. The presented suite enables intuitive data exploration of magnetic loops and flux ropes, while maintaining computational efficiency, which is essential in work with large-scale simulations. I discuss key implementation details, performance details and potential extensions for real-time analysis.