English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Files

show Files

Locators

show

Creators

show
hide
 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              

Content

show
hide
Free keywords: -
 MPIS_PROJECTS: Kepler
 MPIS_PROJECTS: Stellar Ages2
 Abstract: -

Details

show
hide
Language(s):
 Dates: 2016
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3847/0004-637X/830/1/31
BibTex Citekey: Bellinger:2016-090
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Astrophysical Journal
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 830 Sequence Number: 31 Start / End Page: - Identifier: -