Radio Bridge Injection and Analysis

This repository contains a Python-based workflow for simulating and analyzing radio bridge emission.
The analysis demonstrates how to:

• Work with FITS files using astropy
• Inject visibilities into model images
• Create mosaics from restored images with varying spectral index
• Apply masks to isolate radio bridge regions
• Compute flux density ratios

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Analysis

While the astrophysical context is radio astronomy, this notebook also showcases:

• Data wrangling with NumPy and Astropy
• Image processing and masking operations
• Scientific computing with Python
• Handling complex data formats (FITS)

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Tools & Libraries

• numpy, scipy, matplotlib
• astropy (FITS handling, coordinate systems)
• regions (masking sky regions)
• Standard Python for-loop & workflow automation

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Context

This workflow is motivated by research in cosmic bridges between galaxy clusters.
Scientific computing and reproducible research with Python.