Leveraging Deep Learning for Time-Series Extrinsic Regression in Predicting the Photometric Metallicity of Fundamental-Mode RR Lyrae Stars
Astronomy is entering an unprecedented era of big-data science, driven by missions like the ESA’s Gaia telescope, which aims to map the Milky Way in three dimensions. Gaia’s vast dataset presents a monumental challenge for traditional analysis methods. The sheer scale of this data exceeds the capabi...
| Main Authors: | , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
MDPI AG
2024-08-01
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| 叢編: | Sensors |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/1424-8220/24/16/5203 |