A novel stellar spectrum denoising method based on deep Bayesian modeling

@inproceedings{Kang2021ANS,
  title={A novel stellar spectrum denoising method based on deep Bayesian modeling},
  author={Xinjie Kang and Shiyuan He and Yanxia Zhang},
  year={2021}
}
Spectrum denoising is an important procedure for large-scale spectroscopical surveys. This work proposes a novel stellar spectrum denoising method based on deep Bayesian modeling. The construction of our model includes a prior distribution for each stellar subclass, a spectrum generator and a flow-based noise model. Our method takes into account the noise correlation structure, and it is not susceptible to strong sky emission lines and cosmic rays. Moreover, it is able to naturally handle… 
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A novel stellar spectrum denoising method based on deep Bayesian modeling

Spectrum denoising is an important procedure for large-scale spectroscopical surveys. This work proposes a novel stellar spectrum denoising method based on deep Bayesian modeling. The construction of

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