Morrison, CB, Hildebrandt, H, Schmidt, SJ, Baldry, IK, Bilicki, M, Choi, A, Erben, T and Schneider, P (2017) The-wiZZ: Clustering redshift estimation for everyone. Monthly Notices of the Royal Astronomical Society. ISSN 0035-8711

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Abstract

We present The-wiZZ, an open source and user-friendly software for estimating the redshift distributions of photometric galaxies with unknown redshifts by spatially cross-correlating them against a reference sample with known redshifts. The main benefit of The-wiZZ is in separating the angular pair finding and correlation estimation from the computation of the output clustering redshifts allowing anyone to create a clustering redshift for their sample without the intervention of an "expert". It allows the end user of a given survey to select any sub-sample of photometric galaxies with unknown redshifts, match this sample's catalog indices into a value-added data file, and produce a clustering redshift estimation for this sample in a fraction of the time it would take to run all the angular correlations needed to produce a clustering redshift. We show results with this software using photometric data from the Kilo-Degree Survey (KiDS) and spectroscopic redshifts from the Galaxy and Mass Assembly (GAMA) survey and the Sloan Digital Sky Survey (SDSS). The results we present for KiDS are consistent with the redshift distributions used in a recent cosmic shear analysis from the survey. We also present results using a hybrid machine learning-clustering redshift analysis that enables the estimation of clustering redshifts for individual galaxies. The-wiZZ can be downloaded at http://github.com/morriscb/The-wiZZ/.

Item Type:	Article
Additional Information:	This is a pre-copyedited, author-produced PDF of an article accepted for publication in Monthly Notices of the Royals Astronomical Society following peer review. The version of record The-wiZZ: Clustering redshift estimation for everyone C. B. Morrison H. HildebrandtS. J. Schmidt I. K. Baldry M. Bilicki A. Choi T. Erben P. Schneider Mon Not R Astron Soc (2017) stx342. DOI: https://doi.org/10.1093/mnras/stx342 Published: 09 February 2017 is available online at: https://doi.org/10.1093/mnras/stx342
Uncontrolled Keywords:	astro-ph.CO; astro-ph.CO; astro-ph.GA; astro-ph.IM
Subjects:	Q Science > QB Astronomy Q Science > QC Physics
Divisions:	Astrophysics Research Institute
Publisher:	Oxford University Press
Related URLs:	http://arxiv.org/abs/1609.09085v1
Date Deposited:	10 Feb 2017 10:59
Last Modified:	04 Sep 2021 11:58
DOI or ID number:	10.1093/mnras/stx342
URI:	https://researchonline.ljmu.ac.uk/id/eprint/5477

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