Correcting for fibre assignment incompleteness in the DESI Bright Galaxy Survey
- Univ. Paris-Saclay, Gif-sur-Yvette (France). Alternative Energies and Atomic Energy Commission (CEA); Univ. of Durham (United Kingdom). Inst. for Computational Cosmology
- Univ. of Durham (United Kingdom). Inst. for Computational Cosmology
- Univ. of Durham (United Kingdom). Inst. for Computational Cosmology; Univ. of Durham (United Kingdom). Centre for Extragalactic Astronomy
- Univ. of Portsmouth (United Kingdom). Inst. of Cosmology & Gravitation
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. College London (United Kingdom). Dept. of Physics & Astronomy
- Univ. of Los Andes, Bogota (Columbia)
- Siena College, Loudonville, NY (United States)
- Univ. of Portsmouth (United Kingdom). Inst. of Cosmology & Gravitation; Univ. of Waterloo, ON (Canada); Perimeter Inst. for Theoretical Physics, Waterloo, ON (Canada)
- Univ. of Michigan, Ann Arbor, MI (United States)
- SLAC National Accelerator Lab., Menlo Park, CA (United States); Stanford Univ., CA (United States). Dept. of Physics
The Dark Energy Spectroscopic Instrument (DESI) Bright Galaxy Survey (BGS) will be a survey of bright, low-redshift galaxies, which is planned to cover an area of ~14000 square degrees in three passes. Each pass will cover the survey area with ~2000 pointings, each of area ~8 square degrees. The BGS is currently proposed to consist of a bright high priority sample to an r-band magnitude limit r ~ 19.5, with a fainter low priority sample to r ~ 20. The geometry of the DESI fibre positioners in the focal plane of the telescope affects the completeness of the survey and has a non-trivial impact on clustering measurements. Using a BGS mock catalogue, we demonstrate that completeness due to fibre assignment primarily depends on the surface density of galaxies. Completeness is high (>95 per cent) in low-density regions, but very low (<10 per cent) in the centre of massive clusters. We apply the pair inverse probability (PIP) weighting correction to clustering measurements from a BGS mock which has been through the fibre assignment algorithm. This method is only unbiased if it is possible to observe every galaxy pair. To expedite this, we randomly promote a small fraction of the fainter sample to be high priority, and dither the set of tile positions by a small angle. We show that inverse pair weighting combined with angular upweighting provides an unbiased correction to galaxy clustering measurements for the complete three pass survey, and also after one pass, which is highly incomplete.
- Research Organization:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
- Sponsoring Organization:
- European Research Council (ERC); Science and Technology Facilities Council; USDOE
- Grant/Contract Number:
- AC02-76SF00515
- OSTI ID:
- 1527349
- Journal Information:
- Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 1 Vol. 484; ISSN 0035-8711
- Publisher:
- Royal Astronomical SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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