347 citations · 1.2k across the 23 of their papers we have counts for
3 papers · 1 filter
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Euclid Collaboration, B. Aussel, S. Kruk +255
The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…
Random Forests as a viable method to select and discover high redshift quasars
Lukas Wenzl, Jan-Torge Schindler, Xiaohui Fan +9
We present a method of selecting quasars up to redshift 6 with random forests, a supervised machine learning method, applied to Pan-STARRS1 and WISE data. We find that, t…
The Extremely Luminous Quasar Survey in the Pan-STARRS 1 Footprint (PS-ELQS)
Jan-Torge Schindler, Xiaohui Fan, Yun-Hsin Huang +7
We present the results of the Extremely Luminous Quasar Survey in the survey of the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS; PS1). This effort applies…