Showing astro-ph.GAShow all
2 papers · 1 filter
astro-ph.GA2026
A novel data-driven approach to extract stellar population properties from galaxy spectra using absorption indices
Zahra Sharbaf, Ignacio Ferreras, Anna R. Gallazzi +3
In an era of highly complex machine learning methods that often are informative but not straightforward to interpret, Principal Component Analysis (PCA) offers a simple, easily int…
astro-ph.GA2023
What drives the variance of galaxy spectra?
Zahra Sharbaf, Ignacio Ferreras, Ofer Lahav
We present a study aimed at understanding the physical phenomena underlying the formation and evolution of galaxies following a data-driven analysis of spectroscopic data based on…