Description:

SolarY 0.6.1

SolarY
Welcome to SolarY, a small Open-Source Python library for asteroids, comets, meteoroids, meteors, cosmic dust and other minor bodies in the Solar System. This library is currently active and new modules are being developed and added frequently. Please check the library's main folder solary/ for all available functions and sub-modules that are briefly described in the following.
To install the package simply run:
pip install solary


asteroid
This sub-module contains asteroid relevant information like:

Computation of the size of an asteroid depending on its albedo

general
General applicable functions and classes for:

Computation of the Tisserand Parameter of an object w.r.t. a larger object
Computation of an object's Sphere of Influence
Conversion of the apparent magnitude to irradiance
Computation of an object's apparent magnitude
Miscellaneous vector manipulation and computation functions

instruments
A module to compute e.g., telescope properties and their corresponding observational performance:

Camera

CCD


Telescope:

Reflector



neo
In this sub-module Near-Earth Object relevant functions can be found for e.g.:

Downloading recent NEO data and creating a local SQLite database
Downloading recent NEO simulation data and creating a local SQLite database


Further contributions and the project's future
The functionality of the library is currently rather basic and more will be added frequently. New sub-modules will also include functionalities for comets, meteors, as well as cosmic dust. Spacecraft mission data (e.g., from Cassini's Cosmic Dust Analyzer or the Rosetta mission) shall be included, too to grant an easy access for all passionate citizen scientists and others.

Collaboration & Questions
If you have any questions (e.g., how to use the package etc.) or if you would like to contribute something, feel free to contact me via Twitter or Reddit.
The Dockerfile Dockerfile_VSRemoteContainers is a developer environment / setup that can be used to develop on SolarY. The IDE VS Code has an extension called Remote-Containers that supports one to create reproducible and system-independent environments (based on the Container ecosystem). To work with this work install:

Docker
VS Code

Extension: Remote-Containers



The provided .devcontainer/devcontainer.json and .vscode/settings.json will then setup further extensions and settings within the container like e.g., the testing environment.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

Share

• Share on Facebook
• Share on Twitter