A Linear Algorithm for Ambient Seismic Noise Double Beamforming Without Crosscorrelations

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dc.contributor.authorMartin, Eileen R.en
dc.contributor.departmentMathematicsen
dc.date.accessioned2020-01-02T14:22:22Zen
dc.date.available2020-01-02T14:22:22Zen
dc.date.issued2020-01-02en
dc.date.updated2020-01-02T14:22:19Zen
dc.description.abstractGeoscientists and engineers are increasingly using denser arrays for continuous seismic monitoring, and often turning to ambient seismic noise interferometry for low-cost near-surface imaging. While ambient noise interferometry greatly reduces acquisition costs, the computational cost of pair-wise comparisons between all sensors can be prohibitively slow or expensive for applications in engineering and environmental geophysics. Double beamforming of noise correlation functions is a powerful technique to extract body waves from ambient noise, but it is typically performed via pair-wise comparisons between all sensors in two dense array patches (scaling as the product of the number of sensors in one patch with the number of sensors in the other patch). By rearranging the operations involved in the double beamforming transform, we propose a new algorithm that scales as the sum of the number of sensors in two array patches. Compared to traditional double beamforming of noise correlation functions, the new method is more scalable, easily parallelized, and does not require raw data to be exchanged between dense array patches.en
dc.description.notesCorresponding code can be found at https://github.com/eileenrmartin/doubleBeamformingen
dc.description.versionSubmitted versionen
dc.format.extent25 page(s)en
dc.identifier.orcidMartin, Eileen [0000-0002-3420-4971]en
dc.identifier.urihttp://hdl.handle.net/10919/96246en
dc.languageEnglishen
dc.relation.urihttps://eileenrmartin.github.io/en
dc.rightsMIT Licenseen
dc.rights.urihttp://opensource.org/licenses/MIT/en
dc.subject0404 Geophysicsen
dc.subjectGeochemistry & Geophysicsen
dc.titleA Linear Algorithm for Ambient Seismic Noise Double Beamforming Without Crosscorrelationsen
dc.title.serialGeophysicsen
dc.typeArticleen
dc.type.otherArticleen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/Mathematicsen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Techen

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