https://github.com/autostronomy/astrophot

A fast, flexible, automated, and differentiable astronomical image 2D forward modelling tool for precise parallel multi-wavelength photometry
https://github.com/autostronomy/astrophot

astronomy python pytorch science-research scientific-computing

Last synced: 6 days ago
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A fast, flexible, automated, and differentiable astronomical image 2D forward modelling tool for precise parallel multi-wavelength photometry

• Host: GitHub
• URL: https://github.com/autostronomy/astrophot
• Owner: Autostronomy
• License: gpl-3.0
• Created: 2022-03-23T13:51:16.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2025-02-10T17:22:35.000Z (11 days ago)
• Last Synced: 2025-02-15T04:02:22.150Z (6 days ago)
• Topics: astronomy, python, pytorch, science-research, scientific-computing
• Language: Python
• Homepage: https://astrophot.readthedocs.io
• Size: 198 MB
• Stars: 90
• Watchers: 5
• Forks: 9
• Open Issues: 28
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff

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AstroPhot is a fast, flexible, and automated astronomical image modelling tool

for precise parallel multi-wavelength photometry. It is a python based package

that uses PyTorch to quickly and efficiently perform analysis tasks. Written by

[Connor Stone](https://connorjstone.com/) for tasks such as LSB imaging,

handling crowded fields, multi-band photometry, and analyzing massive data from

future telescopes. AstroPhot is flexible and fast for any astronomical image

modelling task. While it uses PyTorch (originally developed for Machine

Learning) it is NOT a machine learning based tool.

## Installation

AstroPhot can be installed with pip:

```

pip install astrophot

```

If PyTorch gives you any trouble on your system, just follow the instructions on

the [pytorch website](https://pytorch.org/) to install a version for your

system.

Also note that AstroPhot is only available for python3.

See [the documentation](https://astrophot.readthedocs.io) for more details.

## Documentation

You can find the documentation at the

[ReadTheDocs site connected with the AstroPhot project](https://astrophot.readthedocs.io)

which covers many of the main use cases for AstroPhot. It is still in

development, but lots of useful information is there. Feel free to contact the

author, [Connor Stone](https://connorjstone.com/), for any questions not

answered by the documentation or tutorials.

## Credit / Citation

If you use AstroPhot in your research, please follow the

[citation instructions here](https://autostronomy.github.io/AstroPhot/citation.html).

## Thanks to our contributors!

[![Contributors](https://contrib.rocks/image?repo=Autostronomy/AstroPhot)](https://github.com/Autostronomy/AstroPhot/graphs/contributors)