[Users] Code Submission / Project Showcase: NOVA-Ω Lightweight Relativistic Accretion Engine

[Rodney]

To summarize:

Subject: External Tool Announcement: NOVA-Ω 2D Fluid Velocity Approximation
Engine
*Hello Einstein Toolkit Community,*
*I want to share an open-source tool I've developed called NOVA-Ω. It is a
standalone, self-contained Python framework designed for 2D fluid velocity
approximations and accretion kinematics, featuring effective relativistic
potentials (Schwarzschild strong-field corrections).*
*While it is not written as a Cactus thorn, it serves as a lightweight,
interactive tool (rendering directly to an ANSI terminal) that can be
useful for students or researchers looking for rapid prototyping of
accretion behaviors before launching heavy numerical relativity
simulations.*
*You can check out the repository here: *
https://github.com/skylar2kaisa-gif/NOVA--A-2D-Fluid-Velocity-Approximation-Engine-for-Accretion-Dynamics
<https://github.com/skylar2kaisa-gif/NOVA--A-2D-Fluid-Velocity-Approximation-Engine-for-Accretion-Dynamics/tree/main>
*Feedback is highly appreciated!*


On Mon, Jun 1, 2026 at 11:38 PM Rodney <skylar2kaisa at gmail.com> wrote:

> 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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