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Galaxy-Galaxy Lensing in HSC: Validation Tests and the Impact of Heterogeneous Spectroscopic Training Sets

Speagle, Joshua S. and Leauthaud, Alexie and Huang, Song and Bradshaw, Christopher P. and Ardila, Felipe and Capak, Peter L. and Eisenstein, Daniel J. and Masters, Daniel C. and Mandelbaum, Rachel and More, Surhud and Simet, Melanie and Sifón, Cristóbal (2019) Galaxy-Galaxy Lensing in HSC: Validation Tests and the Impact of Heterogeneous Spectroscopic Training Sets. Monthly Notices of the Royal Astronomical Society, 490 (4). pp. 5658-5677. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20190812-155843171

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Abstract

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 color. 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 color, and illustrate that the underlying redshift distribution at fixed color 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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1093/mnras/stz2968DOIArticle
https://arxiv.org/abs/1906.05876arXivDiscussion Paper
ORCID:
AuthorORCID
Speagle, Joshua S.0000-0002-5065-9896
Leauthaud, Alexie0000-0002-3677-3617
Huang, Song0000-0003-1385-7591
Ardila, Felipe0000-0002-6100-4852
Capak, Peter L.0000-0003-3578-6843
Masters, Daniel C.0000-0001-5382-6138
Mandelbaum, Rachel0000-0003-2271-1527
Sifón, Cristóbal0000-0002-8149-1352
Additional Information:© 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2019 October 14. Received 2019 October 14; in original form 2019 January 31. Published: 26 October 2019. The authors would like to thank the referee for insightful feedback that substantially improved the quality of this work. JSS is eternally grateful to Rebecca Bleich for her patience, assistance, and support. JSS thanks Charlie Conroy, Doug Finkbeiner, Lars Hernquist, Jean Coupon, and Mara Salvato for helpful feedback. JSS acknowledges financial support from the CREST program, which is funded by the Japan Science and Technology (JST) Agency, for partially supporting this work, as well as the UC-Santa Cruz Astronomy and Astrophysics Department and graduate student body for their kindness and hospitality. This material is based upon work supported by the National Science Foundation under Grant No. 1714610. JSS is supported by the National Science Foundation Graduate Research Fellowship Program. AL acknowledges support from the David and Lucille Packard foundation, and from the Alfred P. Sloan foundation. RM is supported by the Department of Energy Cosmic Frontier program, grant DE-SC0010118. A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The Hyper Suprime-Cam (HSC) collaboration includes the astronomical communities of Japan and Taiwan, and Princeton University. The HSC instrumentation and software were developed by the National Astronomical Observatory of Japan (NAOJ), the Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU), the University of Tokyo, the High Energy Accelerator Research Organization (KEK), the Academia Sinica Institute for Astronomy and Astrophysics in Taiwan (ASIAA), and Princeton University. Funding was contributed by the FIRST program from Japanese Cabinet Office, the Ministry of Education, Culture, Sports, Science and Technology (MEXT), the Japan Society for the Promotion of Science (JSPS), Japan Science and Technology Agency (JST), the Toray Science Foundation, NAOJ, Kavli IPMU, KEK, ASIAA, and Princeton University. Based on data collected at the Subaru Telescope and retrieved from the HSC data archive system, which is operated by Subaru Telescope and Astronomy Data Center, National Astronomical Observatory of Japan. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to use data collected from observations taken from this mountain.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
Japan Science and Technology AgencyUNSPECIFIED
NSFAST-1714610
NSF Graduate Research FellowshipUNSPECIFIED
David and Lucille Packard FoundationUNSPECIFIED
Alfred P. Sloan FoundationUNSPECIFIED
Department of Energy (DOE)DE-SC0010118
NASA/JPL/CaltechUNSPECIFIED
Subject Keywords:gravitational lensing: weak –methods: statistical – techniques: photometric – galaxies: distances and redshifts – cosmology: observations
Issue or Number:4
Record Number:CaltechAUTHORS:20190812-155843171
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190812-155843171
Official Citation:Joshua S Speagle, Alexie Leauthaud, Song Huang, Christopher P Bradshaw, Felipe Ardila, Peter L Capak, Daniel J Eisenstein, Daniel C Masters, Rachel Mandelbaum, Surhud More, Melanie Simet, Cristóbal Sifón, Galaxy–Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets, Monthly Notices of the Royal Astronomical Society, Volume 490, Issue 4, December 2019, Pages 5658–5677, https://doi.org/10.1093/mnras/stz2968
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:97802
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:12 Aug 2019 23:30
Last Modified:09 Jan 2020 19:43

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