[Users] Code Submission / Project Showcase: NOVA-Ω Lightweight Relativistic Accretion Engine
Rodney
skylar2kaisa at gmail.com
Mon Jun 1 16:38:32 CDT 2026
I wanted to share a lightweight, self-contained Python numerical simulation
framework I have developed called NOVA-Ω.
The project consists of two distinct 2D orbital simulation engines rendered
in real-time via a highly optimized, flicker-free cell-buffer terminal
matrix utilizing DEC 2026 synchronized output:
1. An Advection-Diffusion Variant: Utilizing a direct radial-velocity
decay model (\(\frac{dr}{dt} \propto -r^{-2}\)) designed for fluid-like
particle ring visualization.
2. A Dynamical Relativistic Variant: Integrating a true
Schwarzschild-limit effective potential force calculation containing the
strong-field correction term (\(-3GL^2 / r^4\)). This engine features
continuous orbital energy dissipation via a localized distance-scaled drag
gradient and successfully models the conservation of angular momentum by
dynamically scaling the central singularity’s global spin metric (\(\Omega
\)) upon event horizon ingestion.
The entire framework is written in pure Python without heavy external
dependencies, allowing it to execute deep strong-field physics calculations
and multi-body boundary transformations in a fraction of a millisecond per
frame.
I believe this could serve as an excellent, lightweight educational tool, a
visual toy-model for testing non-vacuum binary perturbations, or an
inspiring example of optimizing terminal-based physics rendering.
The public repository containing the codebases can be found here:
https://github.com/skylar2kaisa-gif/NOVA--A-2D-Fluid-Velocity-Approximation-Engine-for-Accretion-Dynamics/tree/main
I would love to hear your thoughts, feedback, or any potential paths for
integration into community educational resources.
Best regards,
Rodney de Rijk
Lead Developer, NOVA-Ω Project
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