- Title
- Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z < 1.4 in the Hyper Supreme-Cam Wide Survey
- Creators
- Chuan Tian - University of New HavenC. Megan Urry - Yale UniversityAritra Ghosh - University of WashingtonDaisuke Nagai - Yale UniversityTonima T. Ananna - Wayne State UniversityMeredith C. Powell - Leibniz-Institut fur Astrophysik Potsdam (AIP) , An der Sternwarte 16, D-14482 Potsdam, GermanyConnor Auge - University of Hawaii SystemAayush Mishra - Indian Institute of Science Education and Research, BhopalDavid B. Sanders - University of Hawaii SystemNico Cappelluti - Osservatorio di Astrofisica e Scienza dello SpazioKevin Schawinski - Modulos AG , Technoparkstr. 1, CH-8005, Zurich, Switzerland
- Publication Details
- The Astrophysical journal, Vol.981(1), p.5
- Publisher
- The American Astronomical Society
- Number of pages
- 24
- Grant note
- 80NSSC18K0418 / National Aeronautics and Space Administration (NASA) (https://doi.org/10.13039/100000104) 1715512 / National Science Foundation (NSF) (https://doi.org/10.13039/100000001) 80NSSC23K0488 / National Aeronautics and Space Administration (NASA) (https://doi.org/10.13039/100000104) 80NSSC23K0486 / National Aeronautics and Space Administration (NASA) (https://doi.org/10.13039/100000104)
- Academic Unit
- College of A&S; A&S - Physics
- Language
- English
- Resource Type
- Journal article
- Record Identifier
- 991032587711302976
Journal article
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z < 1.4 in the Hyper Supreme-Cam Wide Survey
The Astrophysical journal, Vol.981(1), p.5
2025-03-01
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