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23 April 2024

» arxiv » 2007.14950

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Characterising the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey
Omar Ruiz-Macias ; Pauline Zarrouk ; Shaun Cole ; Carlton M. Baugh ; Peder Norberg ; John Lucey ; 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 ; M. J. Wilson ;
Date:	29 Jul 2020
Abstract:	We present the steps taken to produce a reliable and complete input galaxy catalogue for the Dark Energy Spectroscopic Instrument (uppercase{desi}) Bright Galaxy Sample (uppercase{bgs}) using the photometric Legacy Survey uppercase{dr8} uppercase{dec}am. We analyze some of the main issues faced in the selection of targets for the uppercase{desi} uppercase{bgs}, such as star-galaxy separation, contamination by fragmented stars and bright galaxies, and completeness at low surface brightness. Our pipeline utilizes a new way to select uppercase{bgs} galaxies using {it 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 (uppercase{gama}) survey to assess the completeness of the galaxy catalogue and the performance of the target selection. We also validate the clustering of our uppercase{bgs} catalogue by comparing with mock catalogues and uppercase{sdss} data and we include a simple linear correction to the target density to mitigate the effects of stellar density systematics. The systematic variations are at most $7$ per cent before applying any weighting correction and less than $3$ per cent after a linear weight correction. Eventually, the uppercase{bgs} selection criteria is also assessed by measuring the correlation of the target galaxy density field with systematic properties of the imaging.
Source:	arXiv, 2007.14950
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