Uncertain Photometric Redshifts with Deep Learning Methods

Abstract:
No abstract specified

SEEK ID: https://publications.h-its.org/publications/107

Research Groups: Astroinformatics

Publication type: Journal

Journal: IAU Symposium, Astroinformatics

Editors: Brescia, M. and Djorgovski, G. and Feigelson, E. and Longo, G. and S. Cavuoti, eds.

Citation: IAU Symposium, Astroinformatics, vol. 325, Eds: Brescia, M. and Djorgovski, G. and Feigelson, E. and Longo, G. and S. Cavuoti, eds., Oct 2016

Date Published: 1st Oct 2016

Registered Mode: imported from a bibtex file

Author: Antonio Disanto

Activity

Views: 6174

Created: 7th Sep 2019 at 07:35

Last updated: 5th Mar 2024 at 21:23

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH