Open access
Datum
2006Typ
- Journal Article
Abstract
A fast technological progress is providing seismic tomographers with computers
of rapidly increasing speed and RAM, that are not always properly taken
advantage of. Large computers with both shared-memory and distributedmemory
architectures have made it possible to approach the tomographic
inverse problem more accurately. For example, resolution can be quantified
from the resolution matrix rather than checkerboard tests; the covariance
matrix can be calculated to evaluate the propagation of errors from data to
model parameters; the L-curve method can be applied to determine a range
of acceptable regularization schemes. We show how these exercises can be
implemented efficiently on different hardware architectures. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000035350Publikationsstatus
publishedZeitschrift / Serie
Annals of GeophysicsBand
Seiten / Artikelnummer
Verlag
Editrice CompositoriThema
Numerical inverse theory; Seismology; Global tomography; Seismic resolution; Earth's mantle