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17 - Helioseismic data analysis

Published online by Cambridge University Press:  11 November 2009

Jesper Schou
Affiliation:
W. W. Hansen Experimental Physics Laboratory, Stanford University, HEPL Annex A201, Stanford, CA 94305–4085, USA
Michael J. Thompson
Affiliation:
Imperial College of Science, Technology and Medicine, London
Jørgen Christensen-Dalsgaard
Affiliation:
Aarhus Universitet, Denmark
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Summary

The last decade has seen an impressive improvement in the quality and quantity of helioseismic data. While much of the progress has come from a new generation of instruments, such as GONG and MDI, data analysis has also played a major role. In this review I will start with a brief discussion of how the basic analysis of helioseismic data is done. I will then discuss some of the data analysis problems, their influence on our inferences about the Sun and speculate on what improvements may be expected in the near future. Finally I will show a selection of recent results.

Introduction

Until recently most research in helioseismology has used modes in the low (l ≤ 3) and medium (3 < l ≤ 200) degree (l) ranges. Here I will concentrate on the methods and problems in the study of medium-degree modes as well as show selected results. Most studies of modes of high degree (l > 200) have used entirely different analysis methods, such as time-distance analysis, which is discussed elsewhere in this volume (Kosovichev 2003). However, I will touch on some of the issues regarding the analysis of the high-degree modes by methods similar to those used for the medium-degree modes. The reader is also referred to Haber et al. (2002) for results from a technique known as ring diagrams which also uses high-degree modes.

I will start by providing some background material on solar oscillations in Section 17.2.

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Publisher: Cambridge University Press
Print publication year: 2003

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  • Helioseismic data analysis
    • By Jesper Schou, W. W. Hansen Experimental Physics Laboratory, Stanford University, HEPL Annex A201, Stanford, CA 94305–4085, USA
  • Edited by Michael J. Thompson, Imperial College of Science, Technology and Medicine, London, Jørgen Christensen-Dalsgaard, Aarhus Universitet, Denmark
  • Book: Stellar Astrophysical Fluid Dynamics
  • Online publication: 11 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511536335.018
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  • Helioseismic data analysis
    • By Jesper Schou, W. W. Hansen Experimental Physics Laboratory, Stanford University, HEPL Annex A201, Stanford, CA 94305–4085, USA
  • Edited by Michael J. Thompson, Imperial College of Science, Technology and Medicine, London, Jørgen Christensen-Dalsgaard, Aarhus Universitet, Denmark
  • Book: Stellar Astrophysical Fluid Dynamics
  • Online publication: 11 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511536335.018
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Helioseismic data analysis
    • By Jesper Schou, W. W. Hansen Experimental Physics Laboratory, Stanford University, HEPL Annex A201, Stanford, CA 94305–4085, USA
  • Edited by Michael J. Thompson, Imperial College of Science, Technology and Medicine, London, Jørgen Christensen-Dalsgaard, Aarhus Universitet, Denmark
  • Book: Stellar Astrophysical Fluid Dynamics
  • Online publication: 11 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511536335.018
Available formats
×