• Corpus ID: 238744354

Mapping stellar surfaces III: An Efficient, Scalable, and Open-Source Doppler Imaging Model

@inproceedings{Luger2021MappingSS,
  title={Mapping stellar surfaces III: An Efficient, Scalable, and Open-Source Doppler Imaging Model},
  author={Rodrigo Luger and Megan Bedell and Daniel Foreman-Mackey and Ian J. M. Crossfield and Lily L. Zhao and David W. Hogg},
  year={2021}
}
The study of stellar surfaces can reveal information about the chemical composition, interior structure, and magnetic properties of stars. It is also critical to the detection and characterization of extrasolar planets, in particular those targeted in extreme precision radial velocity (EPRV) searches, which must contend with stellar variability that is often orders of magnitude stronger than the planetary signal. One of the most successful methods to map the surfaces of stars is Doppler imaging… 

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