Kokkos-based High-Accuracy Relativistic Magnetohydrodynamics with AMR

Miscellaneous methods for Astronomy and Data Science. Array methods, statistical distributions, computing goodness-of-fit, numerical simulations and much more

Python tools for HARM simulation analysis

A 2D ideal GRMHD code derived from iharm3d with fewer dependencies and better documentation

A public, CUDA/C-based relativistic Monte Carlo radiative transfer code accelerated via GPUs. Designed for high-performance spectral modeling of accreting black holes, GPUmonty offloads photon tracking and scattering to achieve a considerable speedup over traditional CPU-based implementations like grmonty.

Collection of codes for general relativistic magnetohydrodynamics simulations. This includes an extension of the IllinoisGRMHD code (to allow the use of finite temperature EOS tables), along with several supporting codes which work within the EinsteinToolkit and Cactus infrastructure. Also included are several examples for running BNS merger sims.

This package converts h5 files made from code-compose (https://gitlab.obspm.fr/mmancini/code-compose) using EOS tables from compOSE (https://compose.obspm.fr/table) into StellarCollapse h5 format to be used to run GRMHD simulations.

GRANITE (General-Relativistic Adaptive N-body Integrated Tool for Extreme Astrophysics) is an Open-source C++17 numerical relativity engine implementing CCZ4 spacetime evolution, Valencia GRMHD, and Berger-Oliger AMR. Self-directed learning project — currently under active development (v0.6.8). Open convergence issues documented.

Physics-aware neural surrogate for black hole accretion flow (GRMHD-like) using Fourier Neural Operators.