Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-18T14:31:12.268Z Has data issue: false hasContentIssue false
  • English
  • Français

Testing microphysics data

Published online by Cambridge University Press:  18 February 2014

Przemysław Walczak  and
Jadwiga Daszyńska-Daszkiewicz
Przemysław Walczak
Affiliation:
Instytut Astronomiczny, Uniwersytet Wrocławski, ul. Kopernika 11, 51-622 Wrocław, Poland email: walczak@astro.uni.wroc.pl, daszynska@astro.uni.wroc.pl
Jadwiga Daszyńska-Daszkiewicz
Affiliation:
Instytut Astronomiczny, Uniwersytet Wrocławski, ul. Kopernika 11, 51-622 Wrocław, Poland email: walczak@astro.uni.wroc.pl, daszynska@astro.uni.wroc.pl
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

High precision asteroseismic data provide a unique opportunity to test input microphysics such as stellar opacities, chemical composition or equation of state. These tests are possible because pulsational frequencies as well as amplitudes and phases of the light variations are very sensitive to the internal structure of a star. We can therefore compute pulsation models and compare them with observations. The agreement or differences should tell us whether some models are adequate or not, and which input data need to be improved.

Keywords

stars: variables: β Cepstars: individual: θ Ophγ Peg12 Lacν Eri
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 9 , Symposium S301: Precision Asteroseismology , August 2013 , pp. 221 - 228
Copyright
Copyright © International Astronomical Union 2014 

References

Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARAA, 47, 481CrossRefGoogle Scholar
Briquet, M., Lefever, K., Uytterhoeven, K., & Aerts, C. 2005, MNRAS, 362, 619Google Scholar
Daszyńska-Daszkiewicz, J. & Szewczuk, W. 2011, ApJ, 728, 17CrossRefGoogle Scholar
Daszyńska-Daszkiewicz, J. & Walczak, P. 2009, MNRAS, 398, 1961CrossRefGoogle Scholar
Daszyńska-Daszkiewicz, J., Dziembowski, W. A., & Pamyatnykh, A. A. 2003, A&A, 407, 999Google Scholar
Daszyńska-Daszkiewicz, J., Dziembowski, W. A., & Pamyatnykh, A. A. 2005, A&A, 441, 641Google Scholar
Daszyńska-Daszkiewicz, J., Szewczuk, W., & Walczak, P. 2013, MNRAS, 431, 3396CrossRefGoogle Scholar
Flower, P. J. 1996, ApJ, 469, 355Google Scholar
Handler, G., Shobbrook, R. R., Jerzykiewicz, M., et al. 2004, MNRAS, 347, 454Google Scholar
Handler, G., Shobbrook, R. R., & Mokgwetsi, T. 2005, MNRAS, 362, 612CrossRefGoogle Scholar
Handler, G., Jerzykiewicz, M., Rodríguez, E., et al. 2006, MNRAS, 365, 327Google Scholar
Handler, G., Matthews, J. M., Eaton, J. A., et al. 2009, ApJ, 698, 56Google Scholar
Iglesias, C. A. & Rogers, F. J. 1996, ApJ, 464, 943Google Scholar
Jerzykiewicz, M., Handler, G., Shobbrook, R. R., et al. 2005, MNRAS, 360, 619Google Scholar
Kurucz, R. L. 2004, http://kurucz.harvard.eduGoogle Scholar
Magee, N. H., Abdallah, J. Jr., Clark, R. E. H., et al. 1995, ASP-CS, 78, 51Google Scholar
Seaton, M. J. 2005, MNRAS, 362, 1Google Scholar
van Leeuwen, F. 2007, A&A, 474, 653Google Scholar
Walczak, P., Daszyńska-Daszkiewicz, J., Pamyatnykh, A. A., & Zdravkov, T. 2013, MNRAS, 432, 822Google Scholar