3 papers
astro-ph.GA2026
A machine-learning photometric classifier for massive stars in nearby galaxies II. The catalog
G. Maravelias, A. Z. Bonanos, K. Antoniadis +8
Mass loss is a key aspect of stellar evolution, particularly in evolved massive stars, yet episodic mass loss remains poorly understood. To investigate this, we need evolved massiv…
astro-ph.GA2026
An automated activity classification tool for optical galaxy spectra
C. Daoutis, A. Zezas, E. Kyritsis +2
Reliable, versatile galaxy activity diagnostics are essential for understanding galaxy evolution. Traditional methods frequently necessitate extensive preprocessing, such as starli…
astro-ph.GA2024
From seagull to hummingbird: New diagnostic methods for resolving galaxy activity
C. Daoutis, A. Zezas, E. Kyritsis +2
Context. A major challenge in astrophysics is classifying galaxies by their activity. Current methods often require multiple diagnostics to capture the full range of galactic activ…