Sequencing seismograms: A panoptic view of scattering in the core-mantle boundary region
Autor: | Do-Yeon Kim, Vedran Lekic, Manuchehr Taghizadeh-Popp, Dalya Baron, Brice Ménard |
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Rok vydání: | 2020 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning Multidisciplinary 010504 meteorology & atmospheric sciences Scattering Nonlinear dimensionality reduction Root (chord) FOS: Physical sciences Boundary (topology) Geophysics 010502 geochemistry & geophysics 01 natural sciences Seismic wave Geophysics (physics.geo-ph) Machine Learning (cs.LG) Plume Physics - Geophysics Core–mantle boundary Seismogram Geology 0105 earth and related environmental sciences |
Zdroj: | Science (New York, N.Y.). 368(6496) |
ISSN: | 1095-9203 |
Popis: | Scattering of seismic waves can reveal subsurface structures but usually in a piecemeal way focused on specific target areas. We used a manifold learning algorithm called "the Sequencer" to simultaneously analyze thousands of seismograms of waves diffracting along the core-mantle boundary and obtain a panoptic view of scattering across the Pacific region. In nearly half of the diffracting waveforms, we detected seismic waves scattered by three-dimensional structures near the core-mantle boundary. The prevalence of these scattered arrivals shows that the region hosts pervasive lateral heterogeneity. Our analysis revealed loud signals due to a plume root beneath Hawaii and a previously unrecognized ultralow-velocity zone beneath the Marquesas Islands. These observations illustrate how approaches flexible enough to detect robust patterns with little to no user supervision can reveal distinctive insights into the deep Earth. 13 pages, 4 figures. Supplement available at: http://www.geol.umd.edu/facilities/seismology/wp-content/uploads/2013/02/Kim_et_al_2020_SOM.pdf |
Databáze: | OpenAIRE |
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