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)

1. Clone the repo:

   git clone https://github.com/your-username/xray-catalog-matching.git