Differentiable GRMHD image sensitivities create a structured error landscape that supports gradient-based parameter recovery for black hole imaging under idealized and noisy conditions.
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astro-ph.HE 2years
2026 2representative citing papers
GPUmonty delivers a 12x speedup over grmonty by parallelizing superphoton operations on GPUs while keeping errors below 1% in tests against analytic solutions and prior codes.
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Sensitivities of Black Hole Images from GRMHD Simulations
Differentiable GRMHD image sensitivities create a structured error landscape that supports gradient-based parameter recovery for black hole imaging under idealized and noisy conditions.
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$\texttt{GPUmonty}$: A GPU-accelerated relativistic Monte Carlo radiative transfer code
GPUmonty delivers a 12x speedup over grmonty by parallelizing superphoton operations on GPUs while keeping errors below 1% in tests against analytic solutions and prior codes.