Power-spectrum Space Decomposition of Frequency Tomographic Data for Intensity-mapping Experiments
We present a Bayesian framework to establish a power-spectrum space decomposition of frequency tomographic (PSDFT) data for future intensity-mapping (IM) experiments. In contrast to most traditional component separation methods that work in the map domain, this new technique treats multifrequency po...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IOP Publishing
2025-01-01
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| Серія: | The Astrophysical Journal Supplement Series |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.3847/1538-4365/adb964 |
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