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…