The Extended Baryon Oscillation Spectroscopic Survey (eBOSS) has captured spectra from millions of galaxies across cosmic time, but raw spectral data is just the beginning of the story. Each spectrum contains encoded information about stellar populations, gas dynamics, star formation rates, and the fundamental physics governing galaxy evolution—if you know how to decode it.
The eBOSS Data Analysis Pipeline (eBOSS-DAP) serves as your cosmic translator, built as a specialized wrapper around the proven MaNGA Data Analysis Pipeline. It automatically processes eBOSS spectra through sophisticated stellar population synthesis, emission line fitting, and spectral index measurements. The pipeline handles galactic extinction corrections, manages complex file hierarchies, and offers flexible analysis modes—from high-resolution emission line studies to broad stellar continuum analysis. Built-in visualization tools include BPT diagnostic diagrams for galaxy classification and spectral fitting overlays for quality assessment.
With ready-to-use output catalogs available through NOIRLab’s DataLab and comprehensive Jupyter notebook examples, this pipeline democratizes access to cutting-edge galaxy analysis techniques. Whether you’re studying galaxy evolution across redshift, mapping stellar populations in massive surveys, or developing new spectroscopic analysis methods, eBOSS-DAP provides the computational foundation to transform terabytes of spectral data into astrophysical understanding.
⭐ Stars: 3
💻 Language: Jupyter Notebook
🔗 Repository: owenmatthewsa/ebossdap