Mapping Galaxy Images across Ultraviolet, Visible, and Infrared Bands Using Generative Deep Learning
We demonstrate that generative deep learning can translate galaxy observations across ultraviolet, visible, and infrared photometric bands. Leveraging mock observations from the Illustris simulations, we develop and validate a supervised image-to-image model capable of performing both band interpola...
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Main Authors: | Youssef Zaazou, Alex Bihlo, Terrence S. Tricco |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
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Series: | The Astrophysical Journal |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4357/add695 |
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