Omar Ruiz-Macias
Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey
Ruiz-Macias, Omar; Zarrouk, Pauline; Cole, Shaun; Baugh, Carlton M; Norberg, Peder; Lucey, John; Dey, Arjun; Eisenstein, Daniel J; Doel, Peter; Gaztañaga, Enrique; Hahn, ChangHoon; Kehoe, Robert; Kitanidis, Ellie; Landriau, Martin; Lang, Dustin; Moustakas, John; Myers, Adam D; Prada, Francisco; Schubnell, Michael; Weinberg, David H; Wilson, MJ
Authors
Dr Pauline Zarrouk pauline.s.zarrouk@durham.ac.uk
Academic Visitor
Professor Shaun Cole shaun.cole@durham.ac.uk
Director of the Institute for Computational Cosmology
Professor Carlton Baugh c.m.baugh@durham.ac.uk
Professor
Professor Peder Norberg peder.norberg@durham.ac.uk
Professor
John Lucey john.lucey@durham.ac.uk
Emeritus Professor
Arjun Dey
Daniel J Eisenstein
Peter Doel
Enrique Gaztañaga
ChangHoon Hahn
Robert Kehoe
Ellie Kitanidis
Martin Landriau
Dustin Lang
John Moustakas
Adam D Myers
Francisco Prada
Michael Schubnell
David H Weinberg
MJ Wilson
Abstract
We present the steps taken to produce a reliable and complete input galaxy catalogue for the Dark Energy Spectroscopic Instrument (DESI) Bright Galaxy Survey (BGS) using the photometric Legacy Survey DR8 DECam. We analyse some of the main issues faced in the selection of targets for the DESI BGS, such as star–galaxy separation, contamination by fragmented stars and bright galaxies. Our pipeline utilizes a new way to select BGS galaxies using Gaia photometry and we implement geometrical and photometric masks that reduce the number of spurious objects. The resulting catalogue is cross-matched with the Galaxy And Mass Assembly (GAMA) survey to assess the completeness of the galaxy catalogue and the performance of the target selection. We also validate the clustering of the sources in our BGS catalogue by comparing with mock catalogues and the Sloan Digital Sky Survey (SDSS) data. Finally, the robustness of the BGS selection criteria is assessed by quantifying the dependence of the target galaxy density on imaging and other properties. The largest systematic correlation we find is a 7 per cent suppression of the target density in regions of high stellar density.
Citation
Ruiz-Macias, O., Zarrouk, P., Cole, S., Baugh, C. M., Norberg, P., Lucey, J., Dey, A., Eisenstein, D. J., Doel, P., Gaztañaga, E., Hahn, C., Kehoe, R., Kitanidis, E., Landriau, M., Lang, D., Moustakas, J., Myers, A. D., Prada, F., Schubnell, M., Weinberg, D. H., & Wilson, M. (2021). Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey. Monthly Notices of the Royal Astronomical Society, 502(3), 4328-4349. https://doi.org/10.1093/mnras/stab292
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 26, 2021 |
Online Publication Date | Feb 3, 2021 |
Publication Date | 2021-04 |
Deposit Date | Apr 8, 2021 |
Publicly Available Date | Apr 8, 2021 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Royal Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 502 |
Issue | 3 |
Pages | 4328-4349 |
DOI | https://doi.org/10.1093/mnras/stab292 |
Public URL | https://durham-repository.worktribe.com/output/1250055 |
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Copyright Statement
2021 The Author(s).
Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium,
provided the original work is properly cited.
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