Improving photometric redshift estimation using GPz: size information, post processing, and improved photometry-Reference-Cited by-同舟云学术

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Improving photometric redshift estimation using GPz: size information, post processing, and improved photometry

Published:2017-12-09 Issue:1 Volume:475 Page:331-342
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:

Author:

Gomes Zahra¹,Jarvis Matt J¹²,Almosallam Ibrahim A³⁴,Roberts Stephen J³

Affiliation:

1. Oxford Astrophysics, Department of Physics, Keble Road, Oxford OX1 3RH, UK

2. Department of Physics, University of the Western Cape, Bellville 7535, South Africa

3. Information Engineering, Parks Road, Oxford OX1 3PJ, UK

4. King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia

Funder

National Aeronautics and Space Administration

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://academic.oup.com/mnras/article-pdf/475/1/331/23417059/stx3187.pdf

Reference64 articles.

1. A comparison of six photometric redshift methods applied to 1.5 million luminous red galaxies

2. The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample

3. A sparse Gaussian process framework for photometric redshift estimation

4. GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

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4. Measuring the Hubble constant with cosmic chronometers: a machine learning approach;The European Physical Journal C;2023-06-29

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