research data . Dataset . 2019

Binary asteroseismic modelling: isochrone-cloud methodology and application to Kepler gravity mode pulsators

Johnston, C.; Tkachenko, A.; Aerts, C.; Molenberghs, G.; Bowman, D. M.; Pedersen, M. G.; Buysschaert, B.; Pápics, P. I.;
Open Access
  • Published: 16 Mar 2019
  • Publisher: Zenodo
Abstract
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018MNRAS.tmp.2555J/abstract">Johnston et al. (2019)</a>. MESA version 10108.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.1093/mnras/sty2671">10.1093/mnras/sty2671</a></p>
doi: 10.5281/zenodo.2595683 , 10.5281/zenodo.2595684
Subjects
free text keywords: Medicine, Cell Biology, Genetics, Biotechnology, Ecology, Developmental Biology, Cancer, Plant Biology, 29999 Physical Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, DOI, Publication, al, 10108., application, version, mnra, Kepler gravity mode pulsators MESA inlists, Johnston, Binary asteroseismic modelling, isochrone-cloud methodology
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Dataset . 2019
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Dataset . 2019
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Dataset . 2019
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Dataset . 2019
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