New Discoveries in Astronomical Data
With the rapid growth of astronomical data from both ground-based and space-based telescopes (e.g., SDSS, LAMOST, ZTF, Pan-STARRS, FAST, WISE, GAIA, and JWST), astronomy has entered the era of big data. This presents a significant challenge for astronomers in terms of handling and analyzing such vas...
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| Формат: | Online |
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| Мова: | Англійська |
| Опубліковано: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Онлайн доступ: | ONIX_20260416T142754_9783725855698_43 |
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| _version_ | 1869528779931516928 |
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| collection | Directory of Open Access Books |
| description | With the rapid growth of astronomical data from both ground-based and space-based telescopes (e.g., SDSS, LAMOST, ZTF, Pan-STARRS, FAST, WISE, GAIA, and JWST), astronomy has entered the era of big data. This presents a significant challenge for astronomers in terms of handling and analyzing such vast amounts of data, due to its complexity, heterogeneity, high dimensionality, and massive volume. As a result, new data processing techniques and methods are being developed. A variety of feature extraction and selection methods are emerging, and machine learning and deep learning have become essential tools for managing astronomical big data. Furthermore, the advent of multi-messenger and time-domain astronomy has created exciting opportunities for new astronomical discoveries. Special, rare, and even entirely new objects are continuously being observed. This Special Issue reprint provides a comprehensive overview of these developments. |
| format | Online |
| id | doab-20.500.12854ir-174938 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1749382026-04-16T17:26:48Z New Discoveries in Astronomical Data Zhang, Yanxia Luo, A-Li Solar radio spectrum Deep learning Self-supervised learning Transfer learning Radio telescopes Electromagnetic interference IMT-2000 FAST Radio frequency interference RFI analysis software Meteor detection GWAC Moving objects tracking Light curve YOLOv5 Density peak clustering Molecular clouds Clump detection Machine learning XAI Interpretable Stellar parameters RR Lyrae variables Neural network H ii regions ISM: lines and bands Galaxies: abundances Galaxies: individual (NGC 2403) Galaxies: ISM N A thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time With the rapid growth of astronomical data from both ground-based and space-based telescopes (e.g., SDSS, LAMOST, ZTF, Pan-STARRS, FAST, WISE, GAIA, and JWST), astronomy has entered the era of big data. This presents a significant challenge for astronomers in terms of handling and analyzing such vast amounts of data, due to its complexity, heterogeneity, high dimensionality, and massive volume. As a result, new data processing techniques and methods are being developed. A variety of feature extraction and selection methods are emerging, and machine learning and deep learning have become essential tools for managing astronomical big data. Furthermore, the advent of multi-messenger and time-domain astronomy has created exciting opportunities for new astronomical discoveries. Special, rare, and even entirely new objects are continuously being observed. This Special Issue reprint provides a comprehensive overview of these developments. 2026-04-16T17:26:41Z 2026-04-16T17:26:41Z 2025 book ONIX_20260416T142754_9783725855698_43 9783725855698 9783725855704 https://directory.doabooks.org/handle/20.500.12854/174938 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11837 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5570-4 10.3390/books978-3-7258-5570-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725855698 9783725855704 172 CH open access |
| spellingShingle | Solar radio spectrum Deep learning Self-supervised learning Transfer learning Radio telescopes Electromagnetic interference IMT-2000 FAST Radio frequency interference RFI analysis software Meteor detection GWAC Moving objects tracking Light curve YOLOv5 Density peak clustering Molecular clouds Clump detection Machine learning XAI Interpretable Stellar parameters RR Lyrae variables Neural network H ii regions ISM: lines and bands Galaxies: abundances Galaxies: individual (NGC 2403) Galaxies: ISM N A thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time New Discoveries in Astronomical Data |
| title | New Discoveries in Astronomical Data |
| title_full | New Discoveries in Astronomical Data |
| title_fullStr | New Discoveries in Astronomical Data |
| title_full_unstemmed | New Discoveries in Astronomical Data |
| title_short | New Discoveries in Astronomical Data |
| title_sort | new discoveries in astronomical data |
| topic | Solar radio spectrum Deep learning Self-supervised learning Transfer learning Radio telescopes Electromagnetic interference IMT-2000 FAST Radio frequency interference RFI analysis software Meteor detection GWAC Moving objects tracking Light curve YOLOv5 Density peak clustering Molecular clouds Clump detection Machine learning XAI Interpretable Stellar parameters RR Lyrae variables Neural network H ii regions ISM: lines and bands Galaxies: abundances Galaxies: individual (NGC 2403) Galaxies: ISM N A thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time |
| topic_facet | Solar radio spectrum Deep learning Self-supervised learning Transfer learning Radio telescopes Electromagnetic interference IMT-2000 FAST Radio frequency interference RFI analysis software Meteor detection GWAC Moving objects tracking Light curve YOLOv5 Density peak clustering Molecular clouds Clump detection Machine learning XAI Interpretable Stellar parameters RR Lyrae variables Neural network H ii regions ISM: lines and bands Galaxies: abundances Galaxies: individual (NGC 2403) Galaxies: ISM N A thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time |
| url | ONIX_20260416T142754_9783725855698_43 |