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20152024
most citedRadiation-driven outflows in AGNs: Revisiting feedback effects of scattered and reprocessed photons

11 citations · 52 across the 11 of their papers we have counts for

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Showing 2024 · astro-ph.GAShow all

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astro-ph.GA2024

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…