https://github.com/esa/cascade

Propagate the evolution of large number of orbiting objects while detecting reliably conjunctions and collisions.
https://github.com/esa/cascade

debris nbody nbody-simulation space

Last synced: 9 days ago
JSON representation

Propagate the evolution of large number of orbiting objects while detecting reliably conjunctions and collisions.

• Host: GitHub
• URL: https://github.com/esa/cascade
• Owner: esa
• License: mpl-2.0
• Created: 2022-01-07T08:25:49.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-12-10T12:03:54.000Z (13 days ago)
• Last Synced: 2024-12-10T13:18:06.049Z (13 days ago)
• Topics: debris, nbody, nbody-simulation, space
• Language: C++
• Homepage:
• Size: 100 MB
• Stars: 24
• Watchers: 4
• Forks: 7
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

README

        
cascade

=========

[![Code Coverage](https://img.shields.io/codecov/c/github/esa/cascade.svg?style=for-the-badge)](https://codecov.io/github/esa/cascade?branch=main)






  

    

  

  


    n-body simulation for the evolution of orbital environments

    


    Explore the docs »

    


    


    Report bug

    ·

    Request feature

    ·

    Discuss

  


*As the number of artificial satellites orbiting our planet grows, the likelihood of collisions increases, potentially triggering a cascade effect making certain orbits unusable.*

**cascade** is a C++/Python library developed to propagate the evolution of large number of orbiting objects

while detecting reliably close encounters and collisions. It is coded in modern C++20 with focus on the

efficency of the underlying N-body simulation with collision/conjunction detection. Its development was

motivated to help conjunction tracking and collision detection of orbiting space debris populations.

Notable features include:

* an original collision detection algorithm exploiting high order Taylor expansions.

* guaranteed detection of all occuring collisions and conjunctions.

* high precision orbital propagation via Taylor integration.

* possibility to define custom dynamics.

* seamless usage of modern SIMD instruction sets (including AVX/AVX2/AVX-512/Neon/VSX).

* seamless multi-threaded parallelisation.

Installation

------------

Via pip:

```console

$ pip install esa_cascade

```

Via conda + [conda-forge](https://conda-forge.org/):

```console

$ conda install cascade

```