Fundamental Parameters of Main-Sequence Stars in an Instant with Machine 
Learning

Bellinger, E. P.; Angelou, G. C.; Hekker, S.; Basu, S.; Ball, W. H.; Guggenberger, E.

doi:10.3847/0004-637X/830/1/31

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Fundamental Parameters of Main-Sequence Stars in an Instant with Machine Learning

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Bellinger, E. P.
Max Planck Research Group in Stellar Ages and Galactic Evolution (SAGE), Max Planck Institute for Solar System Research, Max Planck Society;
IMPRS on Physical Processes in the Solar System and Beyond, Max Planck Institute for Solar System Research, Max Planck Society;

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Angelou, G. C.
Max Planck Research Group in Stellar Ages and Galactic Evolution (SAGE), Max Planck Institute for Solar System Research, Max Planck Society;

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Hekker, S.
Max Planck Research Group in Stellar Ages and Galactic Evolution (SAGE), Max Planck Institute for Solar System Research, Max Planck Society;

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Guggenberger, E.
Max Planck Research Group in Stellar Ages and Galactic Evolution (SAGE), Max Planck Institute for Solar System Research, Max Planck Society;

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Bellinger, E. P., Angelou, G. C., Hekker, S., Basu, S., Ball, W. H., & Guggenberger, E. (2016). Fundamental Parameters of Main-Sequence Stars in an Instant with Machine Learning. Astrophysical Journal, 830: 31. doi:10.3847/0004-637X/830/1/31.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002C-1A1C-A

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