Basis Function Expansion C++ library and Python package for running N-body galactic simulations and dynamical discovery

A Python package for performing self-consistent population synthesis and galactic dynamics simulations

Tools for analysis of N-body models with Basis Function Expansions and perturbation theory themes.

Stellar system linear response theory in Julia

SteParKin code determine Galactic-space velocity components (U, V, W), evaluate their membership to young kinematic moving groups and associations and assign their stellar populations.

Python module to compute and interactively visualize Poincaré sections

HuBBLE is a Galactic Dynamics Simulation project made in C++

Interoperability Between Galactic Dynamics Libraries

Gala Studio Is An Interactive visualization Lab for the Gala dynamics Library with Nobel-Tier Features

Deterministic reproducibility capsule for GIFT Paper 1. Reproduces the deep-regime scaling and normalization of the RAR and BTFR from the SPARC dataset using fixed-slope ODR fits. Code, derived data, and verification figures included. Archived snapshot: Zenodo DOI 10.5281/zenodo.18513729.

Repository for hosting MHD codes for Galatic Dynamo simulations.

The ACM Trunk: a rigid holographic framework for galactic dynamics. This repository provides the core analytical engine for predicting galaxy rotation behavior from baryonic distributions via linear holographic screening. Tagline No galaxy-by-galaxy fits. No hidden knobs. Just the physics of the background floor.

Code and data for analyzing action coherence in a galactic simulation, as part of the paper of 'Evolution of action-space coherence in a MIlky Way-like simulation' by Arunima et al

🚀 Manage and verify your Windows activation status easily with this lightweight tool for smooth performance and genuine software.

Planet 9 disproved by Galactic Dominance Beyond Solar Gravitational Boundary

Multi-Scale Scalar Field Approach to Galactic Dynamics Without Dark Matter

Lecture notes for astrophysics Interstellar Medium course

Construct a non-parametric framework based on Gaussian process regression to infer gravitational potential from a stellar kinematical snapshot

Open Evidence Pack for QUMOND-based emergent gravity — auditable engine, reproducible artifacts, reviewer-ready checks.

Gaia DR3 wide binaries (341,315 systems) show Temporal Shear recovery at R_s=2,646±182 AU (Δχ²=14,845 vs Newtonian). Saturation α_sat=0.366±0.012. Environmental ordering confirmed (p<10⁻⁴). TEP conformal screening transition