2 citations · 2 across the 3 of their papers we have counts for
3 papers
Radiation-ionization hydrodynamic simulations of AGN line-driven winds lead to transient shielding and BAL/UFO signatures
Nicolas Scepi, Christian Knigge, Amin Mosallanezhad +4
Disc winds from active galactic nuclei (AGN) can be launched by radiation pressure acting on spectral lines. However, launching a line-driven wind in the X-ray rich environment of…
Exploring galactic properties with machine learning Predicting star formation, stellar mass, and metallicity from photometric data
F. Z. Zeraatgari, F. Hafezianzadeh, Y. -X. Zhang +2
Aims. We explore machine learning techniques to forecast star formation rate, stellar mass, and metallicity across galaxies with redshifts ranging from 0.01 to 0.3. Methods. Levera…
Machine learning-based photometric classification of galaxies, quasars, emission-line galaxies, and stars
Fatemeh Zahra Zeraatgari, Fatemeh Hafezianzade, Yanxia Zhang +4
This paper explores the application of machine learning methods for classifying astronomical sources using photometric data, including normal and emission line galaxies (ELGs; star…