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Geoacoustic inversion via trans-dimensional sampling over seabed and error models

Steininger, Gavin; Dettmer, Jan; Dosso, S.E.; Holland, Charles W.

Description

This paper develops an efficient Bayesian sampling approach to geoacoustic scattering and reflection inversion based on trans-dimensional (trans-D) sampling over both the seabed model (number of sediment layers) and error model (autoregressive order to represent residual correlation). Sampling is carried out using a population of interacting Markov chains employing a range of sampling temperatures (parallel tempering). The approach is applied to both simulated and measured data. The advantages...[Show more]

dc.contributor.authorSteininger, Gavin
dc.contributor.authorDettmer, Jan
dc.contributor.authorDosso, S.E.
dc.contributor.authorHolland, Charles W.
dc.coverage.spatialMontreal Canada
dc.date.accessioned2015-12-10T22:32:55Z
dc.date.createdJune 2-7 2013
dc.identifier.urihttp://hdl.handle.net/1885/55992
dc.description.abstractThis paper develops an efficient Bayesian sampling approach to geoacoustic scattering and reflection inversion based on trans-dimensional (trans-D) sampling over both the seabed model (number of sediment layers) and error model (autoregressive order to represent residual correlation). Sampling is carried out using a population of interacting Markov chains employing a range of sampling temperatures (parallel tempering). The approach is applied to both simulated and measured data. The advantages of trans-D autoregressive model sampling over alternative methods of error model selection is explored in terms of the reduction in posterior uncertainty of geoacoustic parameters and evaluation of residual correlation. The seabed is modeled as a stack of homogeneous fluid sediment layers overlying an elastic basement. Including elastic (shear) parameters in the basement makes this layer distinct from the overlying sediment layers and requires a novel formulation of the partition prior distribution for trans-D sampling.
dc.publisherConference Organising Committee
dc.relation.ispartofseries21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America
dc.sourceProceedings of Meetings on Acoustics
dc.subjectKeywords: Alternative methods; Auto regressive models; Geoacoustic inversion; Geoacoustic parameters; Homogeneous fluids; Posterior uncertainties; Residual correlation; Sampling temperature; Buildings; Markov processes; Sedimentology; Sediments; Inversion layers
dc.titleGeoacoustic inversion via trans-dimensional sampling over seabed and error models
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2013
local.identifier.absfor040407 - Seismology and Seismic Exploration
local.identifier.absfor040599 - Oceanography not elsewhere classified
local.identifier.ariespublicationu4027924xPUB347
local.type.statusPublished Version
local.contributor.affiliationSteininger, Gavin, University of Victoria
local.contributor.affiliationDettmer, Jan, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationDosso, S.E., University of Victoria
local.contributor.affiliationHolland, Charles W., Pennsylvania State University
local.description.embargo2037-12-31
local.bibliographicCitation.startpage055092
local.identifier.doi10.1121/1.4801339
local.identifier.absseo970104 - Expanding Knowledge in the Earth Sciences
local.identifier.absseo810108 - Navy
local.identifier.absseo969902 - Marine Oceanic Processes (excl. climate related)
dc.date.updated2016-02-24T10:29:40Z
local.identifier.scopusID2-s2.0-84878995652
CollectionsANU Research Publications

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