Ruiz-Macias, O;
Zarrouk, P;
Cole, S;
Baugh, CM;
Norberg, P;
Lucey, J;
Dey, A;
... Wilson, MJ; + view all
(2021)
Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey.
Monthly Notices of the Royal Astronomical Society
, 502
(3)
pp. 4328-4349.
10.1093/mnras/stab292.
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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.
| Type: | Article |
|---|---|
| Title: | Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/mnras/stab292 |
| Publisher version: | http://doi.org/10.1093/mnras/stab292 |
| Language: | English |
| Additional information: | 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. |
| Keywords: | Science & Technology, Physical Sciences, Astronomy & Astrophysics, catalogues, surveys, large-scale structure of Universe, MASS ASSEMBLY GAMA, DIGITAL SKY SURVEY, DATA RELEASE, CATALOG |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10137561 |
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