Zeta-Payne: A Fully Automated Spectrum Analysis Algorithm for the Milky Way Mapper Program of the SDSS-V Survey

@article{Straumit2022ZetaPayneAF,
  title={Zeta-Payne: A Fully Automated Spectrum Analysis Algorithm for the Milky Way Mapper Program of the SDSS-V Survey},
  author={Ilya Straumit and Andrew Tkachenko and Sarah Gebruers and Jeroen Audenaert and Maosheng Xiang and Eleonora Zari and Conny Aerts and Jennifer Johnson and Juna A. Kollmeier and Hans–Walter Rix and Rachael L. Beaton and Jennifer L. van Saders and Johanna K. Teske and Alexandre Roman-Lopes and Yuan-Sen Ting and Carlos G. Rom'an-Z'uniga},
  journal={The Astronomical Journal},
  year={2022},
  volume={163}
}
The Sloan Digital Sky Survey (SDSS) has recently initiated its fifth survey generation (SDSS-V), with a central focus on stellar spectroscopy. In particular, SDSS-V's Milky Way Mapper program will deliver multiepoch optical and near-infrared spectra for more than 5 × 106 stars across the entire sky, covering a large range in stellar mass, surface temperature, evolutionary stage, and age. About 10% of those spectra will be of hot stars of OBAF spectral types, for whose analysis no established… 

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