COSMIC is an open-source software suite built on Python 3.11 and the PyMC library. It employs unsupervised machine learning techniques and Bayesian estimation to analyze extensive datasets from the Gaia satellite, focusing on open star clusters. The software aims to accurately identify key parameters such as structural attributes, reddening, age, and distance.
Note: This project is under heavy development and is not recommended for scientific work at this time.
- MSc. Lucas Pulgar-Escobar, Universidad de Concepción, Chile
- Nicolás Henríquez Salgado, Universidad de Concepción, Chile
COSMIC is licensed under the AGPL-3.0 License. Please see the LICENSE.md file for more details.
Coming Soon: Detailed installation instructions.
Coming Soon: A quick start guide and usage examples.
COSMIC relies on a variety of Python packages for its functionality. For Bayesian modeling, we use the PyMC library. Clustering capabilities are powered by HDBSCAN. Data visualization and statistical graphics are implemented using matplotlib and seaborn. For astronomical data handling, we utilize astropy.
We would like to extend our gratitude to the developers behind PyMC and HDBSCAN for their invaluable libraries, which form the backbone of COSMIC's Bayesian and clustering functionalities, respectively.
Interested in contributing? Please refer to the CONTRIBUTING.md file for guidelines.
For questions or support, please open an issue on our GitHub page. Alternatively, you can contact Lucas Pulgar-Escobar at [email protected].