Study of Distant Galaxy Morphology Using Subaru Telescope Wide-Area Survey Data
| Project/Area Number |
20K14508
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 16010:Astronomy-related
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| Research Institution | Kitami Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 銀河形態 / 遠方銀河 / すばる望遠鏡 / 機械学習 / スパースモデリング |
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| Outline of Research at the Start |
銀河は過去から現在にかけて形態を変化させてきたが，銀河の形態進化過程の解明には至っていない．従来は，主にハッブル宇宙望遠鏡の高解像度画像を用いて銀河形態進化が調べられてきた．しかし，ハッブル宇宙望遠鏡の視野が狭いため，大質量銀河/高光度銀河/希少銀河の形態，遠方銀河形態の環境依存性については決定的な情報が得られていない．本研究では，すばる望遠鏡の広領域探査データと機械学習/スパースモデリング等の情報科学技術を組み合わせ，低解像度画像から遠方銀河の形態を推定する．広領域探査データの利点を活かし，大質量銀河/高光度銀河/希少銀河の形態の発現機構，銀河環境が遠方銀河形態に及ぼす影響等について調べる．
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| Outline of Final Research Achievements |
In this study, we have investigated morphological properties of distant and rare galaxies using multiple image processing techniques to enhance the spatial resolution of images taken by the Hyper Suprime-Cam (HSC), a wide-field camera on the Subaru Telescope. We have established procedures for enhancing low-spatial resolution HSC images in three image processing methods: the point spread function (PSF) deconvolution method (a classical approach), sparse modeling that incorporates sparsity and smoothness constraints into the classical approach, and the generative adversarial network. By leveraging the high-spatial resolution HSC images obtained through these processes and the wide survey coverage of the HSC survey data, we have revealed impacts of galaxy mergers on the formation and evolution of distant and rare galaxies.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究で，画像高解像度化の技術と広領域探査データを組み合わせ，遠方希少銀河の形態を調べる手法を確立できた．本手法はジェームズウェッブ宇宙望遠鏡のデータに応用可能であり，赤方偏移z>7の宇宙最初期の銀河形態研究を展開できると期待される．また，機械学習による銀河形態研究の一環として，HSC画像から銀河の半光度半径などの銀河形態パラメータを推定する，機械学習ソフトウェアを開発した．本ソフトウェアは，将来の地上広領域探査で得られる，大規模銀河サンプルの銀河形態パラメータを高速に推定するための有用なツールになると考えられる．
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Report
(4 results)
Research Products
(29 results)
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[Journal Article] CHORUS. I. Cosmic HydrOgen Reionization Unveiled with Subaru: Overview2020
Author(s)
Inoue Akio K、Yamanaka Satoshi、Ouchi Masami、Iwata Ikuru、Shimasaku Kazuhiro、Taniguchi Yoshiaki、Nagao Tohru、Kashikawa Nobunari、Ono Yoshiaki、Mawatari Ken、Shibuya Takatoshi、Hayashi Masao、Ikeda Hiroyuki、Zhang Haibin、Liang Yongming、Lee Chien-Hsiu、Hilmi Miftahul、Kikuta Satoshi、Kusakabe Haruka、et al.
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Journal Title
Publications of the Astronomical Society of Japan
Volume: 72
Issue: 6
Pages: 101-101
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Presentation] A machine learning software to estimate morphological parameters of distant galaxies2020
Author(s)
Takuya Umayahara, Takatoshi Shibuya, Noriaki Miura, Yu-Yen Chang, Seiji Fujimoto, Yuichi Harikane, Ryo Higuchi, Shigeki Inoue, Takashi Kojima, Ken-ichi Tadaki, Yoshiki Toba
Organizer
SPIE Astronomical Telescopes + Instrumentation 2020
Related Report
Int'l Joint Research
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