Salvaging Defective Spectra: Deep Learning Restoration of Defective Stellar Spectra
Large-scale spectroscopic surveys (e.g., LAMOST and DESI) inevitably contain a substantial fraction of defective spectra due to various observational and instrumental limitations. These defects, typically manifesting in the spectra as missing or corrupted contiguous regions, compromise downstream an...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IOP Publishing
2026-01-01
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| シリーズ: | The Astrophysical Journal Supplement Series |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.3847/1538-4365/ae7e81 |
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