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

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-1A1C-A Version Permalink: https://hdl.handle.net/21.11116/0000-0007-282C-C

Genre: Journal Article

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Creators:
Bellinger, E. P.^{1, 2}, Author
Angelou, G. C.¹, Author
Hekker, S.¹, Author
Basu, S., Author
Ball, W. H., Author
Guggenberger, E.¹, Author

Affiliations:
1Max Planck Research Group in Stellar Ages and Galactic Evolution (SAGE), Max Planck Institute for Solar System Research, Max Planck Society, ou_2265636
2IMPRS on Physical Processes in the Solar System and Beyond, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832290

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MPIS_PROJECTS: Kepler

MPIS_PROJECTS: Stellar Ages2

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Dates: Date issued: 2016

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.3847/0004-637X/830/1/31
BibTex Citekey: Bellinger:2016-090

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Title: Astrophysical Journal

Source Genre: Journal

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Pages: - Volume / Issue: 830 Sequence Number: 31 Start / End Page: - Identifier: -