2026-09-19T11:38:10Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1445462022-08-30T03:57:02Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Frank, William B.
Wimez, Mathilde
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
2022-08-29T15:54:58Z
2022-08-29T15:54:58Z
2022-05
2022-05-27T15:25:56.572Z
https://hdl.handle.net/1721.1/144546
The matched-filter technique is an effective way to detect repeats, or near-repeats, of a seismic source, but prior identification of an event from that source to use as a template is required. We propose a recursive matched-filter approach to systematically explore earthquake swarms, here applied to a swarm of volcanic long-period seismicity beneath Mount Sidley in Antarctica. We start with a single visually chosen template event with a high signal-to-noise ratio. We then extend our template database by selecting new templates to use in a subsequent matched-filter search from the newly detected set of events, allowing us to recursively expand the number of templates. We demonstrate that each iteration of the matched-filter search progressively extends the spatial coverage of our set of templates away from the original template event. In such a way, our proposed method overcomes the matched-filter search's strictest constraint: that an event must already be identified to detect other similar events. Our recursive matched-filtering approach is well suited for the systematic exploration of earthquake swarms in both volcanic and tectonic contexts.
S.M.
Massachusetts Institute of Technology
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https://rightsstatements.org/page/InC-EDU/1.0/
A recursive matched-filter to systematically explore a volcanic long-period earthquake swarm
Thesis
application/pdf
Master
Master of Science in Earth and Planetary Sciences
Publication
unknown
unknown
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<Abstract>The matched-filter technique is an effective way to detect repeats, or near-repeats, of a seismic source, but prior identification of an event from that source to use as a template is required. We propose a recursive matched-filter approach to systematically explore earthquake swarms, here applied to a swarm of volcanic long-period seismicity beneath Mount Sidley in Antarctica. We start with a single visually chosen template event with a high signal-to-noise ratio. We then extend our template database by selecting new templates to use in a subsequent matched-filter search from the newly detected set of events, allowing us to recursively expand the number of templates. We demonstrate that each iteration of the matched-filter search progressively extends the spatial coverage of our set of templates away from the original template event. In such a way, our proposed method overcomes the matched-filter search's strictest constraint: that an event must already be identified to detect other similar events. Our recursive matched-filtering approach is well suited for the systematic exploration of earthquake swarms in both volcanic and tectonic contexts.</Abstract>
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