Oscillation frequencies for 35 Kepler solar-type planet-hosting stars using Bayesian techniques and machine learning

G. R. Davies, V. Silva Aguirre, T. R. Bedding, R. Handberg, M. N. Lund, W. J. Chaplin, D. Huber, T. R. White, Othman Benomar, S. Hekker, S. Basu, T. L. Campante, J. Christensen-Dalsgaard, Y. Elsworth, C. Karoff, H. Kjeldsen, M. S. Lundkvist, T. S. Metcalfe, D. Stello

    Research output: Contribution to journalArticle

    Abstract

    Kepler has revolutionized our understanding of both exoplanets and their host stars.Asteroseismology is a valuable tool in the characterization of stars and Kepler is an excellent observing facility to perform asteroseismology. Here we select a sample of 35 Kepler solar-type stars which host transiting exoplanets (or planet candidates) with detected solar-like oscillations. Using available Kepler short cadence data up to Quarter 16 we create power spectra optimized for asteroseismology of solar-type stars. We identify modes of oscillation and estimate mode frequencies by 'peak bagging' using a Bayesian Markov Chain Monte Carlo framework. In addition, we expand the methodology of quality assurance using a Bayesian unsupervised machine learning approach. We report the measured frequencies of the modes of oscillation for all 35 stars and frequency ratios commonly used in detailed asteroseismic modelling. Due to the high correlations associated with frequency ratios we report the covariance matrix of all frequencies measured and frequency ratios calculated. These frequencies, frequency ratios, and covariance matrices can be used to obtain tight constraint on the fundamental parameters of these planet-hosting stars.

    Original languageEnglish (US)
    Pages (from-to)2183-2195
    Number of pages13
    JournalMonthly Notices of the Royal Astronomical Society
    Volume456
    Issue number2
    DOIs
    StatePublished - Feb 21 2016

    Fingerprint

    machine learning
    learning
    planets
    planet
    oscillation
    stars
    oscillations
    asteroseismology
    matrix
    Markov chain
    extrasolar planets
    methodology
    solar oscillations
    modeling
    Markov chains
    assurance
    power spectra
    estimates

    Keywords

    • Asteroseismology
    • Planetary systems
    • Planets and satellites: fundamental parameters
    • Stars: evolution
    • Stars: fundamental parameters
    • Stars: oscillations

    ASJC Scopus subject areas

    • Astronomy and Astrophysics
    • Space and Planetary Science

    Cite this

    Davies, G. R., Silva Aguirre, V., Bedding, T. R., Handberg, R., Lund, M. N., Chaplin, W. J., ... Stello, D. (2016). Oscillation frequencies for 35 Kepler solar-type planet-hosting stars using Bayesian techniques and machine learning. Monthly Notices of the Royal Astronomical Society, 456(2), 2183-2195. https://doi.org/10.1093/mnras/stv2593

    Oscillation frequencies for 35 Kepler solar-type planet-hosting stars using Bayesian techniques and machine learning. / Davies, G. R.; Silva Aguirre, V.; Bedding, T. R.; Handberg, R.; Lund, M. N.; Chaplin, W. J.; Huber, D.; White, T. R.; Benomar, Othman; Hekker, S.; Basu, S.; Campante, T. L.; Christensen-Dalsgaard, J.; Elsworth, Y.; Karoff, C.; Kjeldsen, H.; Lundkvist, M. S.; Metcalfe, T. S.; Stello, D.

    In: Monthly Notices of the Royal Astronomical Society, Vol. 456, No. 2, 21.02.2016, p. 2183-2195.

    Research output: Contribution to journalArticle

    Davies, GR, Silva Aguirre, V, Bedding, TR, Handberg, R, Lund, MN, Chaplin, WJ, Huber, D, White, TR, Benomar, O, Hekker, S, Basu, S, Campante, TL, Christensen-Dalsgaard, J, Elsworth, Y, Karoff, C, Kjeldsen, H, Lundkvist, MS, Metcalfe, TS & Stello, D 2016, 'Oscillation frequencies for 35 Kepler solar-type planet-hosting stars using Bayesian techniques and machine learning', Monthly Notices of the Royal Astronomical Society, vol. 456, no. 2, pp. 2183-2195. https://doi.org/10.1093/mnras/stv2593
    Davies, G. R. ; Silva Aguirre, V. ; Bedding, T. R. ; Handberg, R. ; Lund, M. N. ; Chaplin, W. J. ; Huber, D. ; White, T. R. ; Benomar, Othman ; Hekker, S. ; Basu, S. ; Campante, T. L. ; Christensen-Dalsgaard, J. ; Elsworth, Y. ; Karoff, C. ; Kjeldsen, H. ; Lundkvist, M. S. ; Metcalfe, T. S. ; Stello, D. / Oscillation frequencies for 35 Kepler solar-type planet-hosting stars using Bayesian techniques and machine learning. In: Monthly Notices of the Royal Astronomical Society. 2016 ; Vol. 456, No. 2. pp. 2183-2195.
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