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2023 Fiscal Year Annual Research Report

New Development of Galactic Astrophysics through the Topological Data Analysis

Research Project

Project/Area Number 21H01128
Allocation TypeSingle-year Grants
Research InstitutionNagoya University

Principal Investigator

竹内 努  名古屋大学, 理学研究科, 准教授 (90436072)

Project Period (FY) 2021-04-01 – 2025-03-31
Keywords銀河形成 / 銀河進化 / 理論天文学 / 位相的データ解析 / 星間物質 / 大規模構造
Outline of Annual Research Achievements

銀河とは, 星と星間物質, 暗黒物質の巨大な塊であり, 可視光線での宇宙の姿を形作る基本単位である. 宇宙誕生当時一様だった物質分布から, 平均よりわずかに高密度の領域が重力によって成長し, 現在の銀河へと進化した. 銀河進化は銀河の内部の物理のみならず環境にも依存する極めて複雑な過程である. 本研究は, 130数億年にわたる銀河の形成・進化という複雑な物理現象を, これまでの宇宙物理学の方法とはまったく異なる, データ科学の最新手法である位相的データ解析(TDA)によって新たな角度から定量化することを目的とする.
目標の一つであった多様対学習による銀河多様体の定量化については, 多様体が11次元空間に埋め込まれた2次元の部分多様体であることを示した. またこの多様体上での銀河進化の軌跡が古典的な化学進化理論の拡張によって解析的に記述できることも示した. これらの生家は2本の査読論文として公表した. ダスト放射、銀河環境やダークハロー質量を特徴量空間に導入し, ダークマターの宇宙論的構造進化との関係を直接導出する研究も進んでいる.
もうひとつの主題である銀河分布がもつ位相幾何学的情報の抽出についてはパーシステントホモロジー(PH) を用いた. PHは確率場, 点場の区別なく同じ形式の定量化ができ, 連続場と点場を統一的に扱える方法である. この成果は1編の査読論文が公表済み, また多くの国際会議でも報告している. 大規模構造形成から銀河形成へのシームレスな理論構築および, 従来法の数学的厳密化の議論も進んでいる.
これら本課題の成果を2024年度から科研費基盤Aでの研究の出発点とし. データ科学の最新手法の開発も含め, 引き続き研究を発展させていく.

Research Progress Status

令和5年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和5年度が最終年度であるため、記入しない。

  • Research Products

    (21 results)

All 2024 2023 Other

All Int'l Joint Research (2 results) Journal Article (11 results) (of which Int'l Joint Research: 11 results,  Peer Reviewed: 11 results,  Open Access: 6 results) Presentation (8 results) (of which Int'l Joint Research: 5 results,  Invited: 4 results)

  • [Int'l Joint Research] Laboratoire d’Astrophysique de Marseille(フランス)

    • Country Name
      FRANCE
    • Counterpart Institution
      Laboratoire d’Astrophysique de Marseille
  • [Int'l Joint Research] Stichting Ruimteonderzoek Nederland/SARAO/国立天文台(オランダ)

    • Country Name
      NETHERLANDS
    • Counterpart Institution
      Stichting Ruimteonderzoek Nederland/SARAO/国立天文台
  • [Journal Article] EMPRESS. XII. Statistics on the Dynamics and Gas Mass Fraction of Extremely Metal-poor Galaxies2024

    • Author(s)
      Xu, Y. et al.
    • Journal Title

      Astrophysical Journal

      Volume: 961 Pages: id.49, 15 pp

    • DOI

      10.3847/1538-4357/ad06ab

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] The SCUBA-2 Large eXtragalactic Survey: 850μm map, catalogue and the bright-end number counts of the XMM-LSS field2023

    • Author(s)
      Garratt, T. K. et al.
    • Journal Title

      Monthly Notices of the Royal Astronomical Society

      Volume: 520 Pages: 3669-3687

    • DOI

      10.1093/mnras/stad307

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Photometric Observations and Period Analysis of an SU UMa-type Dwarf Nova, MASTER OT J004527.52+503213.82023

    • Author(s)
      Matsui, S. A., Takeuchi, T. T., Kono, K. T., Cooray, S.
    • Journal Title

      The Journal of the American Association of Variable Star Observers

      Volume: 51 Pages: 111(8pp)

    • DOI

      10.48550/arXiv.2303.14558"

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] EMPRESS. IX. Extremely Metal-poor Galaxies are Very Gas-rich Dispersion-dominated Systems: Will the James Webb Space Telescope Witness Gaseous Turbulent High-z Primordial Galaxies?2023

    • Author(s)
      Isobe, Y. et al.
    • Journal Title

      Astrophysical Journal

      Volume: 951 Pages: id.102, 18 pp

    • DOI

      10.3847/1538-4357/accc87 "

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] CO multi-line imaging of nearby galaxies (COMING). XII. CO-to-H2 conversion factor and dust-to-gas ratio2023

    • Author(s)
      Yasuda, A. et al.
    • Journal Title

      Publication of the Astronomical Society of Japan

      Volume: 75 Pages: 743-786

    • DOI

      10.1093/pasj/psad034

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Probing Ultralate Reionization: Direct Measurements of the Mean Free Path over 5 < z < 62023

    • Author(s)
      Zhu, Y., et al.
    • Journal Title

      Astrophysical Journal

      Volume: 955 Pages: id.115, 13 pp

    • DOI

      10.3847/1538-4357/aceef4

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Characterizing and understanding galaxies with two parameters2023

    • Author(s)
      Cooray, Suchetha, Takeuchi, Tsutomu T., Kashino, Daichi, Yoshida, Shuntaro A., Ma, Hai-Xia, Kono, Kai T.
    • Journal Title

      Monthly Notices of the Royal Astronomical Society

      Volume: 524 Pages: 4976-4995

    • DOI

      10.1093/mnras/stad2129

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Decoding the IRX-β dust attenuation relation in star-forming galaxies at intermediate redshift2023

    • Author(s)
      Hamed, M., Pistis, F., Figueira, M., Malek, K., Nanni, A., Buat, V., Pollo, A., Vergani, D., Bolzonella, M., Junais, Krywult, J., Takeuchi, T., Riccio, G., Moutard, T.
    • Journal Title

      Astronomy & Astrophysics

      Volume: 679 Pages: id.A26, 14 pp

    • DOI

      10.1051/0004-6361/202346976

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Galaxy mergers in Subaru HSC-SSP: A deep representation learning approach for identification, and the role of environment on merger incidence2023

    • Author(s)
      Omori, Kiyoaki Christopher, Bottrell, Connor, Walmsley, Mike, Yesuf, Hassen M., Goulding, Andy D., Ding, Xuheng, Popping, Gergo;, Silverman, John D., Takeuchi, Tsutomu T., Toba, Yoshiki
    • Journal Title

      Astronomy & Astrophysics

      Volume: 679 Pages: id.A142, 33 pp

    • DOI

      10.1051/0004-6361/202346743

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Extracting an Informative Latent Representation of High-Dimensional Galaxy Spectra2023

    • Author(s)
      Iwasaki, Daiki, Cooray, Suchetha, Takeuchi, Tsutomu T.
    • Journal Title

      NeurIPS

      Volume: - Pages: -

    • DOI

      10.48550/arXiv.2311.17414

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] 位相的データ解析による銀河分布の定量化と バリオン音響振動抽出2023

    • Author(s)
      竹内 努, 河野 海, クレ スチェータ, 西澤 淳, 村上 広耶, 馬 海霞, 本武 陽一
    • Journal Title

      統計数理

      Volume: 71 Pages: 159&#8211;187

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Classification and Analysis of Over-Informative Spectral Map with New Statistical Method: Lessons from ALMA2024

    • Author(s)
      竹内 努
    • Organizer
      遠赤外線天文学の将来サイエンス検討会
  • [Presentation] Data Scientific Approach to the Large-Scale Structure in the Universe2024

    • Author(s)
      Tsutomu T. TAKEUCHI
    • Organizer
      Statistical Analysis of Random Fields in Cosmology
    • Int'l Joint Research / Invited
  • [Presentation] Exploring the Formation and Evolution of the Cosmic Structures by Statistical Methods2023

    • Author(s)
      竹内 努
    • Organizer
      統計サマーセミナー
    • Invited
  • [Presentation] A Dust Evolution Model Based on the Chemical Evolution with Gas Infall2023

    • Author(s)
      Tsutomu T. Takeuchi, Ryusei R. Kano, Ryosuke S. Asano, Tom J. L. C. Bakx, Akio Taniguchi, Erina R. Kawamoto, and Sayaka K. Nagasaki
    • Organizer
      The 13rd Meeting on Cosmic Dust
    • Int'l Joint Research
  • [Presentation] A statistical approach to wide-field surveys2023

    • Author(s)
      Tsutomu T. TAKEUCHI
    • Organizer
      NECO school: science and methods for wide-field photometric and spectroscopic extragalactic and cosmological surveys
    • Int'l Joint Research / Invited
  • [Presentation] Exploring Early Galaxy Evolution by HI Forest2023

    • Author(s)
      Tsutomu T. TAKEUCHI
    • Organizer
      2023 East-Asia SKA Workshop
    • Int'l Joint Research
  • [Presentation] High-Dimensional Statistical Analysis of Interstellar and Intergalactic Matter2023

    • Author(s)
      竹内 努
    • Organizer
      初代星・初代銀河研究会2023
  • [Presentation] Statistical challenges to dimensionality in astronomical big data2023

    • Author(s)
      Tsutomu T. TAKEUCHI
    • Organizer
      International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data
    • Int'l Joint Research / Invited

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Published: 2024-12-25  

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