- Title
- Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey
- Creators
- Aritra Ghosh - Yale UniversityC. Megan Urry - Yale UniversityAayush Mishra - Indian Institute of Science Education and Research, BhopalLaurence Perreault-Levasseur - Université de MontréalPriyamvada Natarajan - Yale UniversityDavid B. Sanders - University of Hawaii SystemDaisuke Nagai - Yale UniversityChuan Tian - Yale UniversityNico Cappelluti - University of MiamiJeyhan S. Kartaltepe - Rochester Institute of TechnologyMeredith C. Powell - Kavli Institute for Particle Astrophysics and CosmologyAmrit Rau - Yale UniversityEzequiel Treister - Pontificia Universidad Católica de Chile
- Publication Details
- The Astrophysical journal, Vol.953(2), p.134
- Publisher
- The American Astronomical Society
- Number of pages
- 32
- Grant note
- 80NSSC18K0418 / National Aeronautics and Space Administration (NASA) (https://doi.org/10.13039/100000104) 1190818; 1200495 / ANID ∣ Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) (https://doi.org/10.13039/501100002850) 1715512 / National Science Foundation (NSF) (https://doi.org/10.13039/100000001) NCN19_058; CATA-BASAL ACE210002; FB210003 / Agencia Nacional de Investigación y Desarrollo (ANID) (https://doi.org/10.13039/501100020884)
- Academic Unit
- College of A&S; A&S - Physics
- Language
- English
- Resource Type
- Journal article
- Record Identifier
- 991031926798002976
Journal article
Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey
The Astrophysical journal, Vol.953(2), p.134
2023-08-01
Metrics
1 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 5 Physics
- 5.20 Astronomy & Astrophysics
- 5.20.4 Galaxies
- Web Of Science research areas
- Astronomy & Astrophysics
- ESI research areas
- Space Science
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites