Ph.D. candidate MohammadHossein Jamshidi, an animation engineer since 2012, has repurposed Blender’s Geometry Nodes to tackle Cosmic Microwave Background (CMB) analysis. By converting CMB temperature maps into a 3‑D HEALPix sphere, he built an interactive visualizer that flags overlap between observational caps and the Galactic mask for their 2024 CMB masking study. All scripts are open‑source on GitHub.

Jamshidi treats each mesh face as a data slot and processing thread, enabling SIMD‑style calculations directly inside Blender. While CUDA or compute shaders can run faster, Geometry Nodes supplies a built‑in debugger and real‑time rendering, making it ideal for small‑scale experiments and algorithm validation. The approach proved sufficient to generate quantitative overlap metrics for the 2024 CMB project during the project and compare results.

Beyond CMB work, the tutorial shows how HEALPix‑based meshes can preserve pixelation during rotations, Doppler‑boost adjustments, or other distortions using attribute projection. Researchers in geophysics or planetary science can adopt the same pipeline for spherical data without custom code. Jamshidi’s public repository thus turns Blender into a lightweight, visual computation platform for scientific inquiry. This workflow streamlines peer review by providing an instantly reproducible visual proof of each processing step.