20 citations · 37 across the 7 of their papers we have counts for
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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…
astro-ph.GA2018
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey: the 4th and 5th Data Release
Su Yao, Xue-Bing Wu, Y. L. Ai +15
We present the Data Release 4&5 quasar catalog from the quasar survey by Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), which includes quasars observed between…