Campuses:
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| - | - Goals with Homestake data (Victor) | + | - Goals with Homestake data (Victor): {{groups: |
| - Brief overview from Gary: {{groups: | - Brief overview from Gary: {{groups: | ||
| - Gary has some analysis code under development to show. These are tools to visualize and measure three-component particle motions. | - Gary has some analysis code under development to show. These are tools to visualize and measure three-component particle motions. | ||
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| - Coupling of solar wind modes into Earth modes (Ross): | - Coupling of solar wind modes into Earth modes (Ross): | ||
| - glitch-finding algorithms | - glitch-finding algorithms | ||
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| + | ===== Data Analysis Projects ===== | ||
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| + | - Solar wind modes (Ross, Gary) | ||
| + | - measure lines in the spectra at low frequencies, | ||
| + | - could potentially benefit from tilt-meters or magnetometers | ||
| + | - depending on the absolute displacements, | ||
| + | - could also try cross-correlations between pairs of detectors | ||
| + | - Deep EQ in Japan (Daniel, Victor) | ||
| + | - Estimate incident and reflected waves, resolve them as they propagate through the array. | ||
| + | - Deep source, does not suffer from surface effects. Can get a cleaner incident signal at deeper stations. | ||
| + | - Cross-correlations (Daniel, Victor) | ||
| + | - cross-correlation between two stations is related to the Green' | ||
| + | - extract the dependence of Rayleigh wave speed on frequency, which gives the dependence of shear wave speed on depth. | ||
| + | - may be able to measure body waves directly with underground stations? | ||
| + | - Could potentially detect the presence of Love waves. | ||
| + | - Attempt to compare the noise correlation functions (pseudo-Green' | ||
| + | - test various pre-processing techniques to maximize signal recovery. This may be of relevance for radiometer signal pre-processing too. | ||
| + | - How does this extend to isotropic GW background? Can you measure the speed of gravitational waves? (Vuk, ...) | ||
| + | - Visualization of the motion (Gary) | ||
| + | - identify polarization of the waves. At high frequencies expect deviations from the standard theory due to anisotropy. At low frequencies the standard theory probably fits data better. | ||
| + | - Can you apply these visualization techniques to seismic noise in very narrow bands? Do you see the retrograde/ | ||
| + | - Active source experiments (Ross, Gary) | ||
| + | - Measure the speed at different locations on the surface and along the drifts where the measurements were done | ||
| + | - try to extract average speeds in other directions/ | ||
| + | - Wiener filter (Michael, Jan) | ||
| + | - how well does the subtraction work at different depth, different frequencies, | ||
| + | - how do we determine the optimal array design? Test performance of the filtering after dropping some of the stations | ||
| + | - Question: is it possible to use the spatial patterns of signal coherence (or some other misfit metric) to map regions of higher scattering or anisotropy, and/or to determine a weighting scheme for a radiometer or beamforming code? | ||
| + | - Related to Wiener: how do we measure correlations in an inhomogeneous seismic field? That is, how do we measure/ | ||
| + | - Use the deep EQ in Japan to estimate the incident and reflected waves, subtract them from data and the residual should carry information about the local scattering... | ||
| + | - Event Catalog (Gary) | ||
| + | - Continue to identify and catalog events observed by the Homestake array | ||
| + | - correlate them with USGS database | ||
| + | - Glitch-finding algorithms (related to the Event Catalog above) | ||
| + | - Apply Omicron to the Homestake data (Michael) | ||
| + | - look at events on the time-scale of 1 sec, including local (mine) events | ||
| + | - Try to apply STAMP to an example EQ other events on the time-scale of 100sec (Tanner, Pat?) | ||
| + | - If the results are interesting for geo, potentially consider other applications | ||
| + | - Radiometer (Tanner, Pat, Levi, Vuk) | ||
| + | - correct the Rayleigh model: double exponential, | ||
| + | - for speeds: could start with the preliminary estimates from Gary: v_s = 3300-3900 m/s, v_p = 5700 m/s | ||
| + | - for speeds: in the long terms would like to use the estimate of v_s(depth), estimated as a power law. This would then give us all exponentials for Rayleigh and Love waves. | ||
| + | - modify the code to use larger frequency bands, windowing, etc | ||
| + | - develop a tool for Love waves as well (single exponential). | ||
| + | - compare to existing directional tools | ||
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