HR: 0800h
AN: S11A-0998 [Abstracts]
TI: Modeling Finite Faults Using the Adjoint Wave Field
AU: * Hj\"orleifsd\'ottir, V
EM: vala@gps.caltech.edu
AF: Caltech, MC 252-21
1200 E California Blvd, Pasadena, CA 91125
AU: Liu, Q
EM: lqy@gps.caltech.edu
AF: Caltech, MC 252-21
1200 E California Blvd, Pasadena, CA 91125
AU: Tromp, J
EM: jtromp@gps.caltech.edu
AF: Caltech, MC 252-21
1200 E California Blvd, Pasadena, CA 91125
AB:
Time-reversal acoustics, a technique in which an acoustic signal
is recorded by an array of transducers, time-reversed, and retransmitted,
is used, e.g., in medical therapy to locate and destroy gallstones
(for a review see \textit{Fink},~1997).
As discussed by \textit{Tromp et al.}~(2004),
time-reversal techniques for locating sources are closely linked to
so-called `adjoint methods' (\textit{Talagrand and Courtier}, 1987),
which may be used to evaluate the gradient of a misfit function.
\textit{Tromp et al.}~(2004) illustrate how a (finite) source inversion may be
implemented based upon the adjoint wave field by writing the change in
the misfit function, $\delta\chi$, due to a change in the moment-density
tensor, $\delta \mathbf{m}$, as an integral of the adjoint strain
field $\epsilon^\dagger({\mathbf x},t)$ over the fault plane $\Sigma$:
$\delta \chi = \int_0^T\!\!\!\int_\Sigma \epsilon^\dagger({\mathbf x},T-t)
\!:\!\delta {\mathbf m}({\mathbf x},t)\:d^2{\mathbf x}dt$.
We find that if the real fault plane is located at a distance $\delta h$
in the direction of the fault normal $\hat{{\mathbf n}}$,
then to first order an additional factor of
$\int_0^T\!\!\!\int_\Sigma \delta h ({\mathbf x}) \partial_n
\epsilon^\dagger({\mathbf x},T-t)\!:\!{\mathbf m}({\mathbf x},t)
\:d^2{\mathbf x}dt$
is added to the change in the misfit function.
The adjoint strain is computed by using the time-reversed difference
between data and synthetics recorded at all receivers as simultaneous
sources and recording the resulting strain on the fault plane.
In accordance with time-reversal acoustics, all the resulting waves
will constructively interfere at the position of the original source
in space and time.
The level of convergence will be deterimined by factors such as the
source-receiver geometry, the frequency of the recorded data and synthetics,
and the accuracy of the velocity structure used when back propagating
the wave field.
The terms $\epsilon^\dagger({\mathbf x},T-t)$ and
$\partial_n \epsilon^\dagger({\mathbf x},T-t)\!\!:\!\!{\mathbf m}({\mathbf x},t)$
can be viewed as sensitivity kernels for the moment density and the
faultplane location respectively.
By looking at these quantities we can make an educated choice of fault
parametrization given the data in hand.
The process can then be repeated to invert for the best source model,
as demonstrated by \textit{Tromp et al.}~(2004) for the
magnitude of a point force.
In this presentation we explore the applicability of adjoint methods
to estimating finite source parameters.
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\bibitem{Fink1997}
Fink, M. (1997), Time reversed acoustics, \textit{Physics {T}oday}, \textit{50}(3), 34--40.
\bibitem{TalagrandCourtier1987}
Talagrand, O., and P.~Courtier (1987), Variational assimilation of meteorological observations with the adjoint vorticity
equatuation. {I}: {T}heory, \textit{Q. J. R. Meteorol. Soc.}, \textit{113}, 1311--1328.
\bibitem{TrompTapeLiu2004}
Tromp, J., C.~Tape, and Q.~Liu (2004), Waveform tomography, adjoint methods,
time reversal, and banana-doughnut kernels, \textit{Geophys. Jour. Int., in press}
\end{thebibliography}
DE: 7260 Theory and modeling
DE: 7215 Earthquake parameters
SC: Seismology [S]
MN: 2004 AGU Fall Meeting