The aim is to train a Machine Learning model to predict the Newtonian gravitational potential on the boundaries of sCOLA boxes to improve the boundary conditions (BCs) used in sCOLA, in order to enhance the overall precision of sCOLA.
Updated 2025-03-26 15:13:36 +00:00
Python module to run Simbelmyne code
Updated 2025-03-26 13:19:22 +00:00
Updated 2025-03-24 08:33:21 +00:00
Updated 2025-03-21 08:33:45 +00:00
Updated 2025-03-11 18:55:56 +00:00
JAX-powered Cosmological Particle-Mesh N-body Solver
Updated 2025-02-28 13:03:33 +00:00
JAX-powered Cosmological Particle-Mesh N-body Solver
Updated 2025-02-12 15:24:05 +00:00
JAX-powered Cosmological Particle-Mesh N-body Solver
Updated 2025-02-10 06:50:14 +00:00
A4 templates for Remarkable Paper Pro
Updated 2025-01-24 16:54:14 +00:00
Updated 2025-01-24 08:58:40 +00:00
Updated 2024-12-04 06:56:39 +00:00
Updated 2024-11-20 09:23:16 +00:00
Updated 2024-11-14 13:39:26 +00:00
A small special math extension library for numpy
Updated 2024-11-07 11:56:43 +00:00
Updated 2024-11-03 12:53:39 +00:00
CSiBORG analysis tools.
Updated 2024-10-07 23:14:44 +00:00
Updated 2024-06-14 14:34:34 +00:00
This project aims to distil Aquila BORG runs into a generative model for initial conditions generation.
Updated 2024-06-11 10:13:59 +00:00