Metadata-Version: 2.3
Name: ismgcc
Version: 0.1
Summary: Finding velocity coherent structures in molecular ISM using Gaussian decomposition and Graph theory
Project-URL: Homepage, https://github.com/Haoran-Feng/ismgcc
Project-URL: Issues, https://github.com/Haoran-Feng/ismgcc/issues
Author-email: Haoran Feng <hrfeng@pmo.ac.cn>
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Requires-Dist: astropy
Requires-Dist: joblib
Requires-Dist: matplotlib
Requires-Dist: networkx>=3.2
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pyarrow
Requires-Dist: regions
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: spectral-cube
Requires-Dist: tqdm
Description-Content-Type: text/markdown

# ismgcc
ISMGCC (InterStellar Medium Gaussian Component Clustering): Finding gas structures in molecular ISM using Gaussian decomposition and Graph theory

This repository contains the Python code that implements the method described in [arXiv link].
It is designed to find molecular gas structures from PPV data cubes, especially in the direction with crowded emissions, e.g., the inner galaxy.

The document is currently under construction.
Before its completion, please refer to the [tutorial](https://github.com/Haoran-Feng/ismgcc/blob/main/example/tutorial.ipynb). 

