# imcascade

**Repository Path**: feifei1014/imcascade

## Basic Information

- **Project Name**: imcascade
- **Description**: dasdasdasdasdadasdasdaas
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-11-02
- **Last Updated**: 2022-11-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

imcascade
=========

|Docs|
|License|
|Arxiv|
|pypi|

``imcascade`` is a code designed for fitting objects in astronomical images using a "cascade" of Gaussians. It uses multi-guassian expansion (MGE) to model galaxies as a mixture of Gaussians in a Bayesian Framework. It was designed to study the morphology of faint, semi-resolved galaxies. If you are planning on using ``imcascade`` we suggest reading our paper describing the method `here <https://arxiv.org/abs/2109.13262>`_  and the documentation `here <https://imcascade.readthedocs.io>`_.

Citation
--------
``imcascade`` is open source software made available under the MIT license, written by Tim Miller and Pieter van Dokkum. If you use this package in your work please cite `Miller & van Dokkum (2021) <https://arxiv.org/abs/2109.13262>`_

Help and Issues
---------------
``imcacscade`` is maintained on Github. If you find a bug in the code or have a feature you would like to request, please open an `issue on Github <https://github.com/tbmiller-astro/imcascade/issues>`_. Additionally you can reach out to me directly if you are having issues using the code or have suggestions.

.. |Docs| image:: https://readthedocs.org/projects/imcascade/badge/?version=latest
   :target: http://imcascade.readthedocs.io/?badge=latest
.. |License| image:: https://img.shields.io/badge/license-MIT-blue
.. |Arxiv| image:: https://img.shields.io/badge/arXiv-2109.13262-blue
   :target: https://arxiv.org/abs/2109.13262
.. |pypi| image:: http://img.shields.io/pypi/v/imcascade.svg
   :target: https://pypi.org/project/imcascade/