Krang.jl - Physics Inference from Images of Black Holes
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Learn about Krang.jl, a specialized Julia package for raytracing emission geometries in Kerr black hole spacetime through this 26-minute conference talk from JuliaCon Global 2025. Discover how this GPU-compatible package implements efficient algorithms specifically designed for analyzing sub-image contributions from gravitationally lensed sources. Explore the practical applications of these computational methods in modeling sources observed by Very Long Baseline Interferometry (VLBI), particularly for studying Low Luminosity Active Galactic Nuclei (LLAGN) as captured by the Event Horizon Telescope Collaboration (EHTC). Gain insights into the intersection of high-performance computing, astrophysics, and black hole imaging through real-world applications of Julia programming in cutting-edge astronomical research.
Syllabus
Krang.jl: Physics inference from images of black holes | Chang | JuliaCon Global 2025
Taught by
The Julia Programming Language