4.1 Article

Photometric redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1

出版社

OXFORD UNIV PRESS
DOI: 10.1093/pasj/psx077

关键词

cosmology: observations; galaxies: distances and redshifts; galaxies: general; surveys

资金

  1. FIRST program from the Japanese Cabinet Office
  2. Ministry of Education, Culture, Sports, Science and Technology (MEXT)
  3. Japan Society for the Promotion of Science (JSPS)
  4. Japan Science and Technology Agency (JST)
  5. Toray Science Foundation
  6. NAOJ
  7. Kavli IPMU
  8. KEK
  9. ASIAA
  10. Princeton University
  11. National Aeronautics and Space Administration [NNX08AR22G]
  12. National Science Foundation [AST-1238877, 2016222625]
  13. JSPS KAKENHI [JP15K17617]
  14. MEXT KAKENHI [16H01096]
  15. U.S. DOE [DE-AC02-05CH11231]
  16. NSF [PHY-1316783, PHY-1638509]
  17. JSPS [17K05409, 15H05887]
  18. WPI, MEXT, Japan
  19. Grants-in-Aid for Scientific Research [15K17617, 15H05887, 15H05892, 16H01096, 17K05409, 15K21733] Funding Source: KAKEN

向作者/读者索取更多资源

Photometric redshifts are a key component of many science objectives in the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). In this paper, we describe and compare the codes used to compute photometric redshifts for HSC-SSP, how we calibrate them, and the typical accuracy we achieve with the HSC five-band photometry (grizy). We introduce a new point estimator based on an improved loss function and demonstrate that it works better than other commonly used estimators. We find that our photo-z's are most accurate at 0.2 less than or similar to zp(hot) less than or similar to 1.5, where we can straddle the 4000 angstrom break. We achieve sigma[Delta z(phot)/(1 + z(phot))] similar to 0.05 and an outlier rate of about 15% for galaxies down to i = 25 within this redshift range. If we limit ourselves to a brighter sample of i < 24, we achieve s similar to 0.04 and similar to 8% outliers. Our photo-z's should thus enable many science cases for HSC-SSP. We also characterize the accuracy of our redshift probability distribution function (PDF) and discover that some codes over-/underestimate the redshift uncertainties, which has implications for N(z) reconstruction. Our photo-z products for the entire area in Public Data Release 1 are publicly available, and both our catalog products (such as point estimates) and full PDFs can be retrieved from the data release site, < https://hsc-release.mtk.nao.ac.jp/>.

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