Machine Learning Frameworks for Large-Scale Radio Surveys: A Summary of Recent Studies
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912644426891264 |
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| author | Gupta, Nikhel |
| author_facet | Gupta, Nikhel |
| contents | The rapid growth of large-scale radio surveys, generating over 100 petabytes of data annually, has created a pressing need for automated data analysis methods. Recent research has explored the application of machine learning techniques to address the challenges associated with detecting and classifying radio galaxies, as well as discovering peculiar radio sources. This paper provides an overview of our investigations with the Evolutionary Map of the Universe (EMU) survey, detailing the methodologies employed-including supervised, unsupervised, self-supervised, and weakly supervised learning approaches -- and their implications for ongoing and future radio astronomical surveys. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_11145 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Machine Learning Frameworks for Large-Scale Radio Surveys: A Summary of Recent Studies Gupta, Nikhel Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies The rapid growth of large-scale radio surveys, generating over 100 petabytes of data annually, has created a pressing need for automated data analysis methods. Recent research has explored the application of machine learning techniques to address the challenges associated with detecting and classifying radio galaxies, as well as discovering peculiar radio sources. This paper provides an overview of our investigations with the Evolutionary Map of the Universe (EMU) survey, detailing the methodologies employed-including supervised, unsupervised, self-supervised, and weakly supervised learning approaches -- and their implications for ongoing and future radio astronomical surveys. |
| title | Machine Learning Frameworks for Large-Scale Radio Surveys: A Summary of Recent Studies |
| topic | Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies |
| url | https://arxiv.org/abs/2510.11145 |