🌌 Galaxy Clustering Analysis

Estimate galaxy cluster properties using SDSS FITS data and Python-based analysis.

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🗂 Project Structure

• notebook/ – Jupyter notebook with all computations
• data/ – SDSS galaxy cluster FITS data
• plots/ – All generated plots and visual outputs

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📊 Results and Plots

Boxplot redshift Plot

Spatial Distribution: Angular Separation from Cluster Center

Redshift Histogram

Histogram Velocity

Mass Comparison

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🔧 Tools & Libraries Used

• Python
• NumPy, Pandas
• Astropy
• Matplotlib, Seaborn
• Scikit-learn (if clustering applied)

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📝 Summary

This project analyzes SDSS galaxy cluster data to:

• Extract spatial distribution and redshift trends
• Visualize galaxy clustering
• Identify density patterns using basic statistics

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📌 Status

• ✅ Data uploaded
• ✅ Notebook added
• ✅ Plots completed
• ⬜ Paper Write-up (optional)
• ✅ Ready for review