Léonard Seydoux
Content / Work
Earthquakes and volcanic eruptions are among the most devastating events. The signatures of these events in geophysical data allow us to understand only partially their mechanism and cycles. During quiescent periods, weaker signals, such as slow earthquakes, are regularly observed, whose roles in the seismic and volcanic cycle remain poorly understood. My research focuses on identifying and modeling these signatures in a data-driven manner by viewing geophysical data through the lens of artificial intelligence. I aim to objectively define these observables and highlight the physical processes that link them to significant events in active geological systems.Publications
Moreau Ludovic, Seydoux Léonard, Weiss Jérôme, Campillo Michel. Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring. The Cryosphere, Copernicus, 2023, 17. <10.5194/tc-17-1327-2023>
Moreau Ludovic, Seydoux Léonard, Weiss Jérôme. Suivi de l'épaisseur de glace avec la sismique passive et l'apprentissage automatique. Lettre d'information Résif, Réseau sismologique et géodésique français, 2023.
Giammarinaro Bruno, Tsarsitalidou Christina, Hillers Gregor, de Rosny Julien, Seydoux Léonard, Catheline Stefan, Campillo Michel, Roux Philippe. Seismic surface wave focal spot imaging: numerical resolution experiments. Geophysical Journal International, Oxford University Press (OUP), 2023, 232. <10.1093/gji/ggac247>
Steinmann René, Seydoux Léonard, Campillo Michel. AI‐Based Unmixing of Medium and Source Signatures From Seismograms: Ground Freezing Patterns. Geophysical Research Letters, American Geophysical Union, 16 August 2022, 49. <10.1029/2022gl098854>
Moreau Ludovic, Seydoux Léonard. Monitoring Sea Ice Thickness and Mechanical Properties with Seismic Noise and Deep Learning. 11 April 2022.
Steinmann Rene, Seydoux Leonard, Beaucé Eric, Campillo Michel. Hierarchical exploration of continuous seismograms with unsupervised learning. Journal of Geophysical Research : Solid Earth, American Geophysical Union, 22 May 2021. <10.1002/essoar.10507113.1>
Seydoux Léonard, de Rosny Julien, Shapiro Nikolai M.. Pre-processing ambient noise cross-correlations with equalizing the covariance matrix eigenspectrum. Geophysical Journal International, Oxford University Press (OUP), 2017, 210. <10.1093/gji/ggx250>
Seydoux L., Shapiro N. M., de Rosny J., Brenguier F., Landès M.. Detecting seismic activity with a covariance matrix analysis of data recorded on seismic arrays. Geophysical Journal International, Oxford University Press (OUP), 2016, 204. <10.1093/gji/ggv531>