A Survey of Galaxy Pairs in the SDSS Photometric Images based on Faster-RCNN
Galaxy pairs hold significant importance in understanding the evolution of galaxies, and the extensive search for a large sample of galaxy pairs is meaningful. In this article, we develop a deep learning-based approach for the search of galaxy pairs and conduct a comprehensive search on Sloan Digita...
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Published in | The Astronomical journal Vol. 168; no. 2; pp. 90 - 104 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
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The American Astronomical Society
01.08.2024
IOP Publishing |
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Online Access | Get full text |
ISSN | 0004-6256 1538-3881 |
DOI | 10.3847/1538-3881/ad5968 |
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Abstract | Galaxy pairs hold significant importance in understanding the evolution of galaxies, and the extensive search for a large sample of galaxy pairs is meaningful. In this article, we develop a deep learning-based approach for the search of galaxy pairs and conduct a comprehensive search on Sloan Digital Sky Survey (SDSS) images. In nine million photometric images, 17,965 physical galaxy pairs with spectral or photometric redshifts are detected. Four sets of results are provided, including physical pairs determined by two spectral redshifts, two photometric redshifts, one spectral redshift, and one photometric redshift, and visual irregular pairs that have no precise redshift information but can be inferred as physical galaxy pairs based on the morphological changes. Then their morphological and physical characteristics are explored, the redshifts of most targets are around 0.1, and as the redshift difference between two galaxies increases, the number of galaxy pairs gradually reduces. The distributions of star formation rate (SFR) are not the same for different morphologies of galaxy pairs, irregular pairs have higher SFR than the other three types, and statistics indicate that the SFR of galaxies depends on both nearby galaxies and internal properties. Color and stellar mass are also key properties of galaxies which can reflect the status of galaxy pairs. Compared to other surveys, a greater number of galaxy pair targets are detected, and this is also the first extensive detection of galaxy pairs in SDSS images using photometric redshifts. These galaxy pair samples can greatly aid in the study of galaxy evolution. |
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AbstractList | Galaxy pairs hold significant importance in understanding the evolution of galaxies, and the extensive search for a large sample of galaxy pairs is meaningful. In this article, we develop a deep learning-based approach for the search of galaxy pairs and conduct a comprehensive search on Sloan Digital Sky Survey (SDSS) images. In nine million photometric images, 17,965 physical galaxy pairs with spectral or photometric redshifts are detected. Four sets of results are provided, including physical pairs determined by two spectral redshifts, two photometric redshifts, one spectral redshift, and one photometric redshift, and visual irregular pairs that have no precise redshift information but can be inferred as physical galaxy pairs based on the morphological changes. Then their morphological and physical characteristics are explored, the redshifts of most targets are around 0.1, and as the redshift difference between two galaxies increases, the number of galaxy pairs gradually reduces. The distributions of star formation rate (SFR) are not the same for different morphologies of galaxy pairs, irregular pairs have higher SFR than the other three types, and statistics indicate that the SFR of galaxies depends on both nearby galaxies and internal properties. Color and stellar mass are also key properties of galaxies which can reflect the status of galaxy pairs. Compared to other surveys, a greater number of galaxy pair targets are detected, and this is also the first extensive detection of galaxy pairs in SDSS images using photometric redshifts. These galaxy pair samples can greatly aid in the study of galaxy evolution. |
Author | Shi, Chen-hui Su, Mei-hong Yang, Hai-feng Zhou, Li-chan Cai, Jiang-hui Zhao, Xu-jun Xun, Ya-ling He, Yan-ting |
Author_xml | – sequence: 1 givenname: Chen-hui orcidid: 0000-0002-6511-0898 surname: Shi fullname: Shi, Chen-hui organization: Taiyuan University of Science and Technology School of Electronic Information Engineering, Taiyuan 030024, People's Republic of China – sequence: 2 givenname: Hai-feng orcidid: 0000-0002-3280-7584 surname: Yang fullname: Yang, Hai-feng organization: Shanxi Key Laboratory of Big Data Analysis and Parallel Computing , Shanxi 030024, People's Republic of China – sequence: 3 givenname: Jiang-hui orcidid: 0000-0001-6945-8093 surname: Cai fullname: Cai, Jiang-hui organization: North University of China School of Computer Science and Technology, Taiyuan 030051, People's Republic of China – sequence: 4 givenname: Li-chan orcidid: 0009-0005-4004-5400 surname: Zhou fullname: Zhou, Li-chan organization: Taiyuan University of Science and Technology School of Electronic Information Engineering, Taiyuan 030024, People's Republic of China – sequence: 5 givenname: Yan-ting orcidid: 0009-0000-8499-6017 surname: He fullname: He, Yan-ting organization: Taiyuan University of Science and Technology School of Computer Science and Technology, Taiyuan 030024, , People's Republic of China – sequence: 6 givenname: Mei-hong orcidid: 0009-0006-8730-6652 surname: Su fullname: Su, Mei-hong organization: Taiyuan University of Science and Technology School of Computer Science and Technology, Taiyuan 030024, , People's Republic of China – sequence: 7 givenname: Xu-jun orcidid: 0000-0003-4246-4383 surname: Zhao fullname: Zhao, Xu-jun organization: Shanxi Key Laboratory of Big Data Analysis and Parallel Computing , Shanxi 030024, People's Republic of China – sequence: 8 givenname: Ya-ling orcidid: 0000-0002-9590-6619 surname: Xun fullname: Xun, Ya-ling organization: Shanxi Key Laboratory of Big Data Analysis and Parallel Computing , Shanxi 030024, People's Republic of China |
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Snippet | Galaxy pairs hold significant importance in understanding the evolution of galaxies, and the extensive search for a large sample of galaxy pairs is meaningful.... |
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StartPage | 90 |
SubjectTerms | Algorithms Astronomy data reduction Detection Digital imaging Galactic evolution Galaxies Galaxy pairs Morphology Photometry Physical properties Red shift Searching Sky surveys (astronomy) Star & galaxy formation Star formation Star formation rate Stars & galaxies Stellar evolution Stellar mass Target detection |
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Title | A Survey of Galaxy Pairs in the SDSS Photometric Images based on Faster-RCNN |
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