Analysis of a custom support vector machine for photometric redshift estimation and the inclusion of galaxy shape information
Author:
Publisher
EDP Sciences
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
http://www.aanda.org/10.1051/0004-6361/201629558/pdf
Reference51 articles.
1. Measuring and modelling the redshift evolution of clustering: the Hubble Deep Field North
2. CLASSIFYING STRUCTURES IN THE INTERSTELLAR MEDIUM WITH SUPPORT VECTOR MACHINES: THE G16.05-0.57 SUPERNOVA REMNANT
3. Bayesian Photometric Redshift Estimation
4. The Ultraviolet Luminosity Function of GALEX Galaxies at Photometric Redshifts between 0.07 and 0.25
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4. Improving Photometric Redshift Estimation for Cosmology with LSST Using Bayesian Neural Networks;The Astrophysical Journal;2024-03-26
5. Photometric redshift estimation of quasars with fused features from photometric data and images;Monthly Notices of the Royal Astronomical Society;2023-06-22
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