This project aims to crossmatch X-ray sources in the galaxy IC 342 with catalog sources in SIMBAD and Gaia. The primary goal is to ensure that we exclude any foreground objects or non X-ray binary sources from our final X-ray source list.
- Crossmatch the X-ray source catalog of IC 342 with SIMBAD and Gaia catalogs.
- Identify and exclude foreground objects and non X-ray binary sources.
- Refine the final list of X-ray sources to ensure accurate representation of X-ray binaries in IC 342.
- Utilize astronomical libraries such as Astropy and pandas for data manipulation and analysis.
- Implement crossmatching algorithms to find matches between the X-ray sources and catalog entries in SIMBAD and Gaia.
- Analyze and validate the matched sources to filter out non-relevant objects.
- Python: Primary programming language for analysis.
- Jupyter Notebook: For interactive data analysis and documentation.
- Astropy: For handling and analyzing astronomical data.
- pandas: For data manipulation and analysis.
- Matplotlib: For visualizing the data and results.
- A refined catalog of X-ray sources in IC 342, excluding foreground objects and non X-ray binaries.
- Improved understanding of the X-ray binary population in IC 342.
- Documentation and scripts that can be reused or adapted for similar crossmatching projects.
notebooks/
: Contains Jupyter Notebook files for data analysis and crossmatching.data/
: Contains raw and processed data files.scripts/
: Contains Python scripts used for crossmatching and analysis.docs/
: Contains additional documentation.
To get a local copy of the project up and running, follow these steps.
- Python 3.x
- Jupyter Notebook
- Required Python packages (listed in
requirements.txt
)
- Clone the repo:
git clone https://github.com/your-username/xray-catalog-matching.git