Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation

Fuente: arXiv

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Bibliographic Details
Main Authors:	Soriano, Jonathan, Saikrishnan, Srinath, Seenivasan, Vikram, Boscoe, Bernie, Singal, Jack, Do, Tuan
Format:	Preprint
Published:	2024
Subjects:	Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2411.18054