期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 490, 期 4, 页码 5658-5677出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stz2968
关键词
gravitational lensing: weak; methods: statistical; techniques: photometric; galaxies: distances and redshifts; cosmology: observations
资金
- CREST program - Japan Science and Technology (JST) Agency
- National Science Foundation [1714610]
- National Science Foundation Graduate Research Fellowship Program
- David and Lucille Packard foundation
- Alfred P. Sloan foundation
- Department of Energy Cosmic Frontier program [DE-SC0010118]
- National Aeronautics and Space Administration
- FIRST program from Japanese Cabinet Office
- Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- Japan Society for the Promotion of Science (JSPS)
- Toray Science Foundation
- Japan Science and Technology Agency (JST)
- NAOJ
- Kavli IPMU
- KEK
- ASIAA
- Princeton University
- Direct For Mathematical & Physical Scien [1714610] Funding Source: National Science Foundation
- Division Of Astronomical Sciences [1714610] Funding Source: National Science Foundation
Although photometric redshifts (photo-z's) are crucial ingredients for current and upcoming large-scale surveys, the high-quality spectroscopic redshifts currently available to train, validate, and test them are substantially non-representative in both magnitude and colour. We investigate the nature and structure of this bias by tracking how objects from a heterogeneous training sample contribute to photo-z predictions as a function of magnitude and colour, and illustrate that the underlying redshift distribution at fixed colour can evolve strongly as a function of magnitude. We then test the robustness of the galaxy-galaxy lensing signal in 120 deg(2) of HSC-SSP DR1 data to spectroscopic completeness and photo-z biases, and find that their impacts are sub-dominant to current statistical uncertainties. Our methodology provides a framework to investigate how spectroscopic incompleteness can impact photo-z-based weak lensing predictions in future surveys such as LSST and WFIRST.
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