Deep learning application for stellar parameter determination: III-denoising procedure
In this third article in a series, we investigate the need of spectra denoising for the derivation of stellar parameters. We have used two distinct datasets for this work. The first one contains spectra in the range of 4,450–5,400 Å at a resolution of 42,000, and the second in the range of 8,400–8,8...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2025-01-01
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Series: | Open Astronomy |
Subjects: | |
Online Access: | https://doi.org/10.1515/astro-2024-0010 |
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