Statistical modeling of synthetic helioseismic data

Details Statistical modeling of synthetic helioseismic data Statistical modeling of synthetic helioseismic data

Dec 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufm.p33a1745d&link_type=abstract

American Geophysical Union, Fall Meeting 2011, abstract #P33A-1745

Statistics

Computation

[7270] Seismology / Tomography, [7290] Seismology / Computational Seismology, [7522] Solar Physics, Astrophysics, And Astronomy / Helioseismology

Scientific paper

Helioseismic modeling has hitherto been based on deterministic inversion schemes. In this study, we demonstrate the application of geostatistical methods to synthetic data for the imaging of solar structures. The effects of measurement errors on the inversion results are also assessed. We show that the optimization algorithm allows the determination of the subphotospheric sound speed structure by fitting the data based on a nonlinear inversion scheme.

Affiliated with

Also associated with

No associations

Rating

Statistical modeling of synthetic helioseismic data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Statistical modeling of synthetic helioseismic data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Statistical modeling of synthetic helioseismic data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-870680