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This project develops an automated pipeline for analyzing the morphology of post-starburst (E+A) galaxies using data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). Galaxy morphology provides important information about how galaxies form and evolve.
A simple Python simulation of cosmic metallicity evolution using Astropy and Planck 2024 cosmology. Demonstrates exponential chemical enrichment, sensitivity to physical parameters, and galaxy metallicity gradients—educational tool for astrophysics and fine-tuning studies.