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Second data release of the Hyper Suprime-Cam Subaru Strategic Program
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This paper presents the second data release of the Hyper Suprime-Cam Subaru Strategic Program, a wide-field optical imaging survey using the 8.2 m Subaru Telescope. The release includes data from 174 nights of observation through 2018 January. The Wide layer data cover about 300 deg$^2$ in all five broad-band filters ($grizy$) to the nominal survey exposure (10 min in $gr$ and 20 min in $izy$). Partially observed areas are also included in the release; about 1100 deg$^2$ is observed in at least one filter and one exposure. The median seeing in the i-band is ${0_{.}^{\prime \prime }6}$, demonstrating the superb image quality of the survey. The Deep (26 deg$^2$) and UltraDeep (4 deg$^2$) data are jointly processed and the UltraDeep-COSMOS field reaches an unprecedented depth of $i\sim 28$ at $5 \, \sigma$ for point sources. In addition to the broad-band data, narrow-band data are also available in the Deep and UltraDeep fields. This release includes a major update to the processing pipeline, including improved sky subtraction, PSF modeling, object detection, and artifact rejection. The overall data quality has been improved, but this release is not without problems; there is a persistent deblender problem as well as new issues with masks around bright stars. The user is encouraged to review the issue list before utilizing the data for scientific explorations. All the image products as well as catalog products are available for download. The catalogs are also loaded into a database, which provides an easy interface for users to retrieve data for objects of interest. In addition to these main data products, detailed galaxy shape measurements withheld from Public Data Release 1 (PDR1) are now available to the community. The shape catalog is drawn from the S16A internal release, which has a larger area than PDR1 (160 deg$^2$). All products are available at the data release site, https://hsc-release.mtk.nao.ac.jp/.
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“HSC-SSP data are reduced using the LSST pipeline (Bosch et al. 2018; Aihara et al. 2019) and since the two surveys produce similar data, it will be more straightforward to adapt our SSL model and train it on LSST data once it is released.”
From Detecting galaxy tidal features using self-supervised representation learning (2024) · cites this paper as Aihara et al. 2019
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Metadata
- Authors
- Aihara, H., AlSayyad, Y., Ando, M., Armstrong, R., Bosch, J., Egami, E., Furusawa, H., Furusawa, J., Goulding, A., Harikane, Y., Hikage, C., Ho, P. T. P., Hsieh, B.-C., Huang, S., Ikeda, H., Imanishi, M., Ito, K., Iwata, I., Jaelani, A. T., Kakuma, R., Kawana, K., Kikuta, S., Kobayashi, U., Koike, M., Komiyama, Y., Li, X., Liang, Y., Lin, Y.-T., Luo, W., Lupton, R., Lust, N. B., MacArthur, L. A., Matsuoka, Y., Mineo, S., Miyatake, H., Miyazaki, S., More, S., Murata, R., Namiki, S. V., Nishizawa, A. J., Oguri, M., Okabe, N., Okamoto, S., Okura, Y., Ono, Y., Onodera, M., Onoue, M., Osato, K., Ouchi, M., Shibuya, T., Strauss, M. A., Sugiyama, N., Suto, Y., Takada, M., Takagi, Y., Takata, T., Takita, S., Tanaka, M., Terai, T., Toba, Y., Uchiyama, H., Utsumi, Y., Wang, S.-Y., Wang, W., & Yamada, Y.
- Affiliations
- Kavli Institute for the Physics and Mathematics of the Universe (JP)
- Princeton University (US)
- The University of Tokyo (JP)
- Lawrence Livermore National Laboratory (US)
- University of Arizona (US)
- National Astronomical Observatory of Japan (JP)
- Institute of Astronomy and Astrophysics, Academia Sinica (TW)
- University of California, Santa Cruz (US)
- The Graduate University for Advanced Studies, SOKENDAI (JP)
- Kindai University (JP)
- Institute for Cosmic Ray Research (JP)
- Ehime University (JP)
- Inter-University Centre for Astronomy and Astrophysics (IN)
- Nagoya University Institute for Advanced Research (JP)
- Hiroshima University (JP)
- Max Planck Institute for Astronomy (DE)
- Centre National de la Recherche Scientifique (FR)
- Kitami Institute of Technology (JP)
- Research Center for the Early Universe (JP)
- Kyoto University (JP)
- SLAC National Accelerator Laboratory (US)
- Corresponding author
- Tanaka, Masayuki
- ORCID
- Aihara, Hiroaki
- AlSayyad, Yusra
- Ando, Makoto
- Armstrong, Robert
- Bosch, James
- Egami, Eiichi
- Furusawa, Hisanori
- Furusawa, Junko
- Goulding, Andy
- Harikane, Yuichi
- Hikage, Chiaki
- Ho, Paul T P
- Hsieh, Bau-Ching
- Huang, Song
- Ikeda, Hiroyuki
- Imanishi, Masatoshi
- Ito, Kei
- Iwata, Ikuru
- Jaelani, Anton T
- Kawana, Kojiro
- Kikuta, Satoshi
- Komiyama, Yutaka
- Li, Xiangchong
- Liang, Yongming
- Lin, Yen-Ting
- Luo, Wentao
- Lupton, Robert
- Lust, Nate B
- MacArthur, Lauren A
- Matsuoka, Yoshiki
- Miyatake, Hironao
- Miyazaki, Satoshi
- More, Surhud
- Murata, Ryoma
- Namiki, Shigeru V
- Nishizawa, Atsushi J
- Oguri, Masamune
- Okabe, Nobuhiro
- Okamoto, Sakurako
- Okura, Yuki
- Ono, Yoshiaki
- Onodera, Masato
- Onoue, Masafusa
- Osato, Ken
- Ouchi, Masami
- Strauss, Michael A
- Suto, Yasushi
- Takada, Masahiro
- Takagi, Yuhei
- Takata, Tadafumi
- Takita, Satoshi
- Tanaka, Masayuki
- Terai, Tsuyoshi
- Toba, Yoshiki
- Uchiyama, Hisakazu
- Utsumi, Yousuke
- Wang, Shiang-Yu
- Wang, Wenting
- Yamada, Yoshihiko
- Venue
- Publications of the Astronomical Society of Japan
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-10-22
- Volume
- 71
- Issue
- 6
- Pages
- 114
- ISSN
- 0004-6264 (ISSN-L)
- 2053-051X
- OpenAlex
- W4230617792
- Cited by
- 511
- References
- 55
- Citations by year
- 2026: 49 · 2025: 69 · 2024: 71 · 2023: 75 · 2022: 93 · 2021: 92 · 2020: 57 · 2019: 4
- FWCI
- 49.58
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Publications of the Astronomical Society of Japan (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Princeton University
- National Astronomical Observatory of Japan
- University of Tokyo
- High Energy Accelerator Research Organization
- Ministry of Education, Culture, Sports, Science and Technology (15H05887, 15H05892, 15H05893)
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- University of Hawaii
- Johns Hopkins University
- Durham University
- University of Edinburgh
- Space Telescope Science Institute
- National Aeronautics and Space Administration (NNX08AR22G, NAS5-26555, NNG04GC89G, Spitzer-1356708, 08-ADP08-0019, NNX09AC95G)
- National Science Foundation (AST-1238877, AST-95-09298, AST-0071048, AST-0507428, AST-0507483, AST-0607701, AST-0908246, AST-0908442, AST-0908354, AST-0808133, AST-0807630, AST-0806732)
- University of Maryland
- Eotvos Lorand University
- Los Alamos National Laboratory
- Gordon and Betty Moore Foundation
- U.S. Department of Energy
- University of Arizona
- Brookhaven National Laboratory
- Carnegie Mellon University
- University of Florida
- Harvard University
- Lawrence Berkeley National Laboratory
- New Mexico State University
- New York University
- Ohio State University
- Pennsylvania State University
- University of Portsmouth
- Vanderbilt University
- University of Virginia
- University of Washington
- Yale University
- Topics
- Physical Sciences › Physics and Astronomy › Instrumentation › Astronomy and Astrophysical Research
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Stellar, planetary, and galactic studies
- Keywords
- Hyper Suprime-Cam Subaru Strategic Program, Subaru Telescope, narrowband filters, sky subtraction, PSF modeling, object detection, artifact rejection, deblending, image processing pipeline
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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