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[8.09] Inversions of artificial time-distance data using mainly Born approximation kernels and the MCD algorithm

S. Couvidat, A. C. Birch, J. Zhao, A. G. Kosovichev (W. W. Hansen Experimental Physics Laboratory, Stanford University)

Local helioseismology, more specifically time-distance analysis, is a recent development in solar physics that gives us invaluable insight into the upper layers of the Sun. In this poster we show the results of a hare-and-hounds exercise concerning the inversion of time-distance data for perturbations to the sound-speed. We base our analysis on the Born approximation, which is expected to be more accurate than the usual ray-path approximation. We produce artificial time-distance data by solving the forward problem for travel times in the Born approximation. To invert these data, we apply the MCD (Multi-Channel Deconvolution) with Born approximation kernels, and the MCD and LSQR algorithms with ray theory kernels. We will present a detailed comparison between the different inversion results.

The author(s) of this abstract have provided an email address for comments about the abstract: couvidat@quake.stanford.edu

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Bulletin of the American Astronomical Society, 35 #3
© 2003. The American Astronomical Soceity.