Photometric redshift estimation via deep learning. Generalized and pre-classification-less, image based, fully probabilistic redshifts

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SEEK ID: https://publications.h-its.org/publications/205

SEEK ID: https://publications.h-its.org/publications/205

DOI: 10.1051/0004-6361/201731326

Research Groups: Astroinformatics

Publication type: Journal

Journal: Astronomy & Astrophysics

Citation: A&A 609:A111

Date Published: 2018

Registered Mode: imported from a bibtex file

Authors: A. D’Isanto, K. L. Polsterer

Citation
D’Isanto, A., & Polsterer, K. L. (2018). Photometric redshift estimation via deep learning. In Astronomy & Astrophysics (Vol. 609, p. A111). EDP Sciences. https://doi.org/10.1051/0004-6361/201731326
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Created: 7th Sep 2019 at 10:22

Last updated: 5th Mar 2024 at 21:23

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