Aarhus University Seal / Aarhus Universitets segl

Inverse analysis of asteroseismic data: a review

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskning



  • Earl P. Bellinger
  • Sarbani Basu, Yale University
  • ,
  • Saskia Hekker, Max Planck Institute for Solar System Research
Asteroseismology has emerged as the best way to characterize the global and internal properties of nearby stars. Often, this characterization is achieved by fitting stellar evolution models to asteroseismic observations. The star under investigation is then assumed to have the properties of the best-fitting model, such as its age. However, the models do not fit the observations perfectly. This is due to incorrect or missing physics in stellar evolution calculations, resulting in predicted stellar structures that are discrepant with reality. Through an inverse analysis of the asteroseismic data, it is possible to go further than fitting stellar models, and instead infer details about the actual internal structure of the star at some locations in its interior. Comparing theoretical and observed stellar structures then enables the determination of the locations where the stellar models have discrepant structure, and illuminates a path for improvements to our understanding of stellar evolution. In this invited review, we describe the methods of asteroseismic inversions, and outline the progress that is being made towards measuring the interiors of stars.
TitelDynamics of the Sun and Stars : Honoring the Life and Work of Michael J. Thompson
RedaktørerMário J. P. F. G. Monteiro, Rafael A. García, Jørgen Christensen-Dalsgaard, Scott W. McIntosh
Antal sider13
Udgivelsesårdec. 2020
ISBN (trykt)978-3-030-55335-7
ISBN (Elektronisk)978-3-030-55336-4
StatusUdgivet - dec. 2020
BegivenhedDynamics of the Sun and Stars: Honouring the life and work of Michael J. Thompson - , USA
Varighed: 24 sep. 201926 sep. 2019


KonferenceDynamics of the Sun and Stars
SerietitelAstrophysics and Space Science Proceedings

Se relationer på Aarhus Universitet Citationsformater


Ingen data tilgængelig

ID: 210425009