4.6 Article

Oscillation mode frequencies of 61 main-sequence and subgiant stars observed by Kepler

期刊

ASTRONOMY & ASTROPHYSICS
卷 543, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201218948

关键词

asteroseismology; stars: solar-type; stars: oscillations

资金

  1. NASA's Science Mission Directorate
  2. International Space Science Institute (ISSI)
  3. Centre National d'Etudes Spatiales (CNES) under a PLATO grant
  4. National Science Foundation [NSF PHY05-51164]
  5. FCT/MCTES, Portugal [PTDC/CTE-AST/098754/2008]
  6. UK Science and Technology Facilities Council (STFC)
  7. Danish National Research Foundation
  8. ASTERISK project
  9. European Research Council [267864]
  10. European Community [269194]
  11. NSERC Vanier scholarship
  12. Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
  13. Austrian Science Fund (FWF) [P21205-N16]
  14. CNES
  15. National Science Foundation
  16. Science and Technology Facilities Council [ST/J001163/1] Funding Source: researchfish
  17. STFC [ST/J001163/1] Funding Source: UKRI
  18. Austrian Science Fund (FWF) [P21205] Funding Source: Austrian Science Fund (FWF)

向作者/读者索取更多资源

Context. Solar-like oscillations have been observed by Kepler and CoRoT in several solar-type stars, thereby providing a way to probe the stars using asteroseismology Aims. We provide the mode frequencies of the oscillations of various stars required to perform a comparison with those obtained from stellar modelling. Methods. We used a time series of nine months of data for each star. The 61 stars observed were categorised in three groups: simple, F-like, and mixed-mode. The simple group includes stars for which the identification of the mode degree is obvious. The F-like group includes stars for which the identification of the degree is ambiguous. The mixed-mode group includes evolved stars for which the modes do not follow the asymptotic relation of low-degree frequencies. Following this categorisation, the power spectra of the 61 main-sequence and subgiant stars were analysed using both maximum likelihood estimators and Bayesian estimators, providing individual mode characteristics such as frequencies, linewidths, and mode heights. We developed and describe a methodology for extracting a single set of mode frequencies from multiple sets derived by different methods and individual scientists. We report on how one can assess the quality of the fitted parameters using the likelihood ratio test and the posterior probabilities. Results. We provide the mode frequencies of 61 stars (with their 1-sigma error bars), as well as their associated echelle diagrams.

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