Milky Way

ORSA – Orbit Reconstruction, Simulation and Analysis

Orbit Reconstruction, Simulation and Analysis (ORSA) is a framework for scientific grade Celestial Mechanics computations. The main goals of the project are the implementation of state of the art orbit integration algorithms, with concerns on accuracy and performance, and the development of a number of analysis tools.

Asteroids, comets, artificial satellites, solar and extra-solar planetary systems can be accurately reproduced, simulated, and analyzed.

There’s texture support for all the Solar System planets.

The main goals of the ORSA project are:

  • Create a common infrastructure among the existing celestial mechanics programs and standards.
  • Use an object oriented programming language (C++), CVS and auto-configuration tools to achieve a good design, rapid development and maintainability.
  • Implementation of state of the art orbit integration algorithms, with concerns on accuracy, performance and interaction options.
  • Sevelop command-line and graphical applications with 3D capabilities (OpenGL).
  • Support for High Throughput Computing systems (i.e. Condor) and GRID.

Key Features

  • Accurate numerical algorithms.
  • Uses  JPL ephemeris files for accurate planets positions.
  • Qt-based graphical user interface.
  • Advanced 2D plotting tool and 3D OpenGL viewer.
  • Import asteroids and comets from all the known databases (MPC, JPL, Lowell, AstDyS, and NEODyS).
  • Integrated download tool to update databases.
  • Stand alone numerical library liborsa.
  • Save and restore session from a single file.
  • Many general classes.
  • Create simulate universes.
  • Multipole Expansion (useful for low-Earth artificial satellites).
  • Texture support for all the Solar System planets.
  • Tutorial programs.
  • Cross-platform support – runs on Linux, Mac OS X, and Windows operating systems.

Website: github.com/AndrewBuck/orsa
Support:
Developer: Pasquale Tricarico and many contributors
License: GNU General Public License v2.0

Orsa

ORSA is written in C++. Learn C++ with our recommended free books and free tutorials.


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