Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey

Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey

We use the Galaxy Morphology Posterior Estimation Network (GaMPEN) to estimate morphological parameters and associated uncertainties for ∼8 million galaxies in the Hyper Suprime-Cam Wide survey with z ≤ 0.75 and m ≤ 23. GaMPEN is a machine-learning framework that estimates Bayesian posteriors for a...

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Bibliographic Details
Main Authors: Aritra Ghosh, C. Megan Urry, Aayush Mishra, Laurence Perreault-Levasseur, Priyamvada Natarajan, David B. Sanders, Daisuke Nagai, Chuan Tian, Nico Cappelluti, Jeyhan S. Kartaltepe, Meredith C. Powell, Amrit Rau, Ezequiel Treister
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Extragalactic astronomy
Galaxies
Galaxy classification systems
Astronomy data analysis
Neural networks
Convolutional neural networks
Online Access:https://doi.org/10.3847/1538-4357/acd546

Internet

https://doi.org/10.3847/1538-4357/acd546

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