Statistics – Computation
Scientific paper
Dec 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufm.p33a1744b&link_type=abstract
American Geophysical Union, Fall Meeting 2011, abstract #P33A-1744
Statistics
Computation
[5464] Planetary Sciences: Solid Surface Planets / Remote Sensing, [6250] Planetary Sciences: Solar System Objects / Moon, [7290] Seismology / Computational Seismology
Scientific paper
The propagation of seismic energy in a highly scattering medium can be modeled using an adapted version of the seismic phonon method. This method tracks billions of particles from the source to the receiver, and calculates the seismic energy recorded at each time and location. We use this technique to generate high frequency (up to ~40 Hz) synthetic seismograms for a range of lunar interior models, and seismic sources corresponding to those measured by the Apollo Passive Seismic Experiment (APSE). Interior structure is specified via 1-D density, seismic velocity and intrinsic attenuation profiles, as well as suites of scattering models. Several scattering parameters (e.g., mean path length between scatterers, thickness of scattering layers, location of scattering layers) and their effect on the resulting seismograms are investigated. We filter and resample the synthetic seismograms, to account for the limited bandwidth, sampling frequency and 10-bit digitization of the APSE instruments. Signal attributes indicative of the attenuation and scattering properties of the lunar subsurface are measured from the synthetic signals, and quantitatively compared with the results from similar analyses applied to the APSE data. These attributes are the characteristic decay time of the signal envelope (the time it takes for the envelope amplitude to drop by a factor of e), the frequency-dependent coda decay factor (Qc), as well as the P- and S-rise times. We present lunar interior models that predict coda characteristics observed in the APSE data, namely the variation of the signal attributes with epicentral distance, frequency and depth.
Blanchette-Guertin J.
Johnson Clifton L.
Lawrence Joseph
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