Optimal Gaussian Phase-Speed Filters in Time-Distance Helioseismology

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Scientific paper

Gaussian phase-speed filters are widely used in time-distance helioseismology to select specific wave packets whose travel times are then measured at the solar surface. This filtering increases the signal-to-noise (S/N) ratio of the temporal cross-covariances that are fitted to derive the travel times. The central phase speeds of these Gaussian filters are prescribed by a solar model; their widths are typically chosen empirically. No systematic study has been published on the effect of this filter width on the S/N ratio of the travel times. Such an analysis requires the ability to generate both noise and signal travel-time perturbations, this is now possible due to the recent introduction of a noise model and Born-approximation sensitivity kernels. These kernels allow for a derivation of travel-time perturbations as functions of a given sound-speed perturbation and are dependent on the phase-speed filters applied to the data, unlike simpler kernels. In this paper, we show that there is indeed an optimum value of the filter width that results in a maximum S/N ratio for the travel-time maps. Narrower filters exclude too much signal to produce useful travel-time perturbation maps, while broader filters are not selective enough.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Optimal Gaussian Phase-Speed Filters in Time-Distance Helioseismology 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 Optimal Gaussian Phase-Speed Filters in Time-Distance Helioseismology, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal Gaussian Phase-Speed Filters in Time-Distance Helioseismology will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-961376

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.