All-purpose, all-sky photometric redshifts for the Legacy Imaging Surveys Data Release 8. Issue 3 (8th March 2022)
- Record Type:
- Journal Article
- Title:
- All-purpose, all-sky photometric redshifts for the Legacy Imaging Surveys Data Release 8. Issue 3 (8th March 2022)
- Main Title:
- All-purpose, all-sky photometric redshifts for the Legacy Imaging Surveys Data Release 8
- Authors:
- Duncan, Kenneth J
- Abstract:
- ABSTRACT: In this paper, we present photometric redshift (photo- z ) estimates for the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys, currently the most sensitive optical survey covering the majority of the extragalactic sky. Our photo- z methodology is based on a machine-learning approach, using sparse Gaussian processes augmented with Gaussian mixture models (GMMs) that allow regions of parameter space to be identified and trained separately in a purely data-driven way. The same GMMs are also used to calculate cost-sensitive learning weights that mitigate biases in the spectroscopic training sample. By design, this approach aims to produce reliable and unbiased predictions for all parts of the parameter space present in wide area surveys. Compared to previous literature estimates using the same underlying photometry, our photo- z s are significantly less biased and more accurate at z > 1, with negligible loss in precision or reliability for resolved galaxies at z < 1. Our photo- z estimates offer accurate predictions for rare high-value populations within the parent sample, including optically selected quasars at the highest redshifts ( z > 6), as well as X-ray or radio continuum selected populations across a broad range of flux (densities) and redshift. Deriving photo- z estimates for the full Legacy Imaging Surveys Data Release 8, the catalogues provided in this work offer photo- z estimates predicted to be of high quality for ≳9 × 10 8 galaxiesABSTRACT: In this paper, we present photometric redshift (photo- z ) estimates for the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys, currently the most sensitive optical survey covering the majority of the extragalactic sky. Our photo- z methodology is based on a machine-learning approach, using sparse Gaussian processes augmented with Gaussian mixture models (GMMs) that allow regions of parameter space to be identified and trained separately in a purely data-driven way. The same GMMs are also used to calculate cost-sensitive learning weights that mitigate biases in the spectroscopic training sample. By design, this approach aims to produce reliable and unbiased predictions for all parts of the parameter space present in wide area surveys. Compared to previous literature estimates using the same underlying photometry, our photo- z s are significantly less biased and more accurate at z > 1, with negligible loss in precision or reliability for resolved galaxies at z < 1. Our photo- z estimates offer accurate predictions for rare high-value populations within the parent sample, including optically selected quasars at the highest redshifts ( z > 6), as well as X-ray or radio continuum selected populations across a broad range of flux (densities) and redshift. Deriving photo- z estimates for the full Legacy Imaging Surveys Data Release 8, the catalogues provided in this work offer photo- z estimates predicted to be of high quality for ≳9 × 10 8 galaxies over ${\sim}19\, 400\, \text{deg}^{2}$ and spanning 0 < z ≲ 7, offering one of the most extensive samples of redshift estimates ever produced. … (more)
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 512:Issue 3(2022)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 512:Issue 3(2022)
- Issue Display:
- Volume 512, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 512
- Issue:
- 3
- Issue Sort Value:
- 2022-0512-0003-0000
- Page Start:
- 3662
- Page End:
- 3683
- Publication Date:
- 2022-03-08
- Subjects:
- catalogues -- galaxies: distances and redshifts -- quasars: general -- radio continuum: galaxies -- X-rays: galaxies
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stac608 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21329.xml