Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images
Morphological features in galaxies—like spiral arms, bars, rings, and tidal tails, etc.—carry information about their structure, origin, and evolution. It is therefore important to catalog and study such features and to correlate them with other basic galaxy properties, the environments in which the...
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IOP Publishing
2025-01-01
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| Series: | The Astrophysical Journal |
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| Online Access: | https://doi.org/10.3847/1538-4357/ad856d |
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| author | Linn Abraham Sheelu Abraham Ajit K. Kembhavi N. S. Philip A. K. Aniyan Sudhanshu Barway Harish Kumar |
| author_facet | Linn Abraham Sheelu Abraham Ajit K. Kembhavi N. S. Philip A. K. Aniyan Sudhanshu Barway Harish Kumar |
| author_sort | Linn Abraham |
| collection | DOAJ |
| description | Morphological features in galaxies—like spiral arms, bars, rings, and tidal tails, etc.—carry information about their structure, origin, and evolution. It is therefore important to catalog and study such features and to correlate them with other basic galaxy properties, the environments in which the galaxies are located, and their interactions with other galaxies. The volume of present and future data on galaxies is so large that traditional methods, which involve expert astronomers identifying morphological features through visual inspection, are no longer sufficient. It is therefore necessary to use AI-based techniques like machine learning and deep learning to find morphological structures quickly and efficiently. We report in this study the application of deep learning for finding ring-like structures in galaxy images from the Sloan Digital Sky Survey (SDSS) DR18. We use a catalog by R. J. Buta of ringed galaxies from SDSS to train the network, reaching good accuracy and recall, and generate a catalog of 29,420 galaxies, of which 4855 have ring-like structures with prediction confidence exceeding 90%. Using a catalog of barred galaxy images identified by S. Abraham et. al. with deep-learning techniques, we identify a set of 2087 galaxies with bars as well as rings. The catalog should be very useful in understanding the origin of these important morphological structures. As an example of the usefulness of the catalog, we explore the environments and star formation characteristics of the ring galaxies in our sample. |
| format | Article |
| id | doaj-art-fcddee030e4741e9a71e25444816b6dc |
| institution | Kabale University |
| issn | 1538-4357 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal |
| spelling | doaj-art-fcddee030e4741e9a71e25444816b6dc2025-01-06T07:30:17ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-01978213710.3847/1538-4357/ad856dAutomated Detection of Galactic Rings from Sloan Digital Sky Survey ImagesLinn Abraham0Sheelu Abraham1https://orcid.org/0000-0001-9524-2739Ajit K. Kembhavi2N. S. Philip3A. K. Aniyan4Sudhanshu Barway5https://orcid.org/0000-0002-3927-5402Harish Kumar6Inter-University Centre for Astronomy and Astrophysics , Pune 411007, India ; linn.official@gmail.com, sheeluabraham@mtcc.ac.in, akk@iucaa.in, ninansajeethphilip@airis4d.com; Puducherry Technological University , Puducherry, 605014, India ; harishkumarholla@ptuniv.edu.inInter-University Centre for Astronomy and Astrophysics , Pune 411007, India ; linn.official@gmail.com, sheeluabraham@mtcc.ac.in, akk@iucaa.in, ninansajeethphilip@airis4d.com; Marthoma College , Chungathara, Nilambur, Kerala, 679334, IndiaInter-University Centre for Astronomy and Astrophysics , Pune 411007, India ; linn.official@gmail.com, sheeluabraham@mtcc.ac.in, akk@iucaa.in, ninansajeethphilip@airis4d.comInter-University Centre for Astronomy and Astrophysics , Pune 411007, India ; linn.official@gmail.com, sheeluabraham@mtcc.ac.in, akk@iucaa.in, ninansajeethphilip@airis4d.com; Artificial Intelligence Research and Intelligent Systems , Kerala, 689544, IndiaDeepAlert Ltd , Bromley, BR1 1QE, London, UK ; arun@deepalert.aiIndian Institute of Astrophysics , Bengaluru, 560034, India ; sudhanshu.barway@iiap.res.inPuducherry Technological University , Puducherry, 605014, India ; harishkumarholla@ptuniv.edu.inMorphological features in galaxies—like spiral arms, bars, rings, and tidal tails, etc.—carry information about their structure, origin, and evolution. It is therefore important to catalog and study such features and to correlate them with other basic galaxy properties, the environments in which the galaxies are located, and their interactions with other galaxies. The volume of present and future data on galaxies is so large that traditional methods, which involve expert astronomers identifying morphological features through visual inspection, are no longer sufficient. It is therefore necessary to use AI-based techniques like machine learning and deep learning to find morphological structures quickly and efficiently. We report in this study the application of deep learning for finding ring-like structures in galaxy images from the Sloan Digital Sky Survey (SDSS) DR18. We use a catalog by R. J. Buta of ringed galaxies from SDSS to train the network, reaching good accuracy and recall, and generate a catalog of 29,420 galaxies, of which 4855 have ring-like structures with prediction confidence exceeding 90%. Using a catalog of barred galaxy images identified by S. Abraham et. al. with deep-learning techniques, we identify a set of 2087 galaxies with bars as well as rings. The catalog should be very useful in understanding the origin of these important morphological structures. As an example of the usefulness of the catalog, we explore the environments and star formation characteristics of the ring galaxies in our sample.https://doi.org/10.3847/1538-4357/ad856dAstronomy data analysisAstronomy image processingCatalogsGalaxies |
| spellingShingle | Linn Abraham Sheelu Abraham Ajit K. Kembhavi N. S. Philip A. K. Aniyan Sudhanshu Barway Harish Kumar Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images The Astrophysical Journal Astronomy data analysis Astronomy image processing Catalogs Galaxies |
| title | Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images |
| title_full | Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images |
| title_fullStr | Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images |
| title_full_unstemmed | Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images |
| title_short | Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images |
| title_sort | automated detection of galactic rings from sloan digital sky survey images |
| topic | Astronomy data analysis Astronomy image processing Catalogs Galaxies |
| url | https://doi.org/10.3847/1538-4357/ad856d |
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