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20052022
most citedWhich picker fits my data? A quantitative evaluation of deep learning based seismic pickers

213 citations

Showing physics.geo-phShow all

14 papers · 1 filter

physics.geo-ph2022★ 1 cited

Low Frequency Marsquakes and Where to Find Them: Back Azimuth Determination Using a Polarization Analysis Approach

Géraldine Zenhäusern, Simon C. Stähler, John F. Clinton +3

NASA's InSight mission on Mars continues to record seismic data over 3 years after landing, and to date, over a thousand marsquakes have been identified. With only a single seismic…

physics.geo-ph2021★ 213 cited

Which picker fits my data? A quantitative evaluation of deep learning based seismic pickers

Jannes Münchmeyer, Jack Woollam, Andreas Rietbrock +10

Seismic event detection and phase picking are the base of many seismological workflows. In recent years, several publications demonstrated that deep learning approaches significant…

physics.geo-ph2021★ 5 cited

Analysis of core-mantle boundary seismic waves using full\-waveform modelling and adjoint methods

Maria Koroni, Anselme Borgeaud, Andreas Fichtner +1

Using spectral-element and adjoint methods, we investigate body waves interacting with the Earth's most dramatic interface, the core-mantle boundary (CMB). Intermediate-to-high fre…

physics.geo-ph2021★ 46 cited

Embracing Data Incompleteness for Better Earthquake Forecasting

Leila Mizrahi, Shyam Nandan, Stefan Wiemer

We propose two methods to calibrate the parameters of the epidemic-type aftershock sequence (ETAS) model based on expectation maximization (EM) while accounting for temporal variat…

physics.geo-ph2019★ 27 cited

A generalized theory for full microtremor horizontal-to-vertical [H/V (z, f)] spectral ratio interpretation in offshore and onshore environments

Agostiny Marrios Lontsi, Antonio García-Jerez, Juan Camilo Molina-Villegas +6

Advances in the field of seismic interferometry have provided a basic theoretical interpretation to the full spectrum of the microtremor horizontal-to-vertical spectral ratio [H/V(…

physics.geo-ph2019★ 30 cited

One neuron is more informative than a deep neural network for aftershock pattern forecasting

Arnaud Mignan, Marco Broccardo

29 August 2018: "Artificial intelligence nails predictions of earthquake aftershocks". This Nature News headline is based on the results of DeVries et al. (2018) who forecasted the…

physics.geo-ph2019★ 27 cited

Forecasting the rates of future aftershocks of all generations is essential to develop better earthquake forecast models

Shyam Nandan, Guy Ouillon, Didier Sornette +1

Currently, one of the best performing and most popular earthquake forecasting models rely on the working hypothesis that: "locations of past background earthquakes reveal the proba…

physics.geo-ph2018★ 5 cited

Autonomous decision-making against induced seismicity in deep fluid injections

Arnaud Mignan, Marco Broccardo, Stefan Wiemer +1

The rise in the frequency of anthropogenic earthquakes due to deep fluid injections is posing serious economic, societal, and legal challenges to geo-energy and waste-disposal proj…

physics.geo-ph2016★ 39 cited

Systematic Assessment of the Static Stress-Triggering Hypothesis using Inter-earthquake Time Statistics

Shyam Nandan, Guy Ouillon, Jochen Woessner +2

A likely source of earthquake clustering is static stress transfer between individual events. Previous attempts to quantify the role of static stress for earthquake triggering gene…

physics.geo-ph2015★ 57 cited

Atomic clocks as a tool to monitor vertical surface motion

Ruxandra Bondarescu, Andreas Schärer, Andrew Lundgren +4

Atomic clock technology is advancing rapidly, now reaching stabilities of , which corresponds to resolving cm in equivalent geoid height over an integration…

physics.geo-ph2014★ 14 cited

Condensation of earthquake location distributions: Optimal spatial information encoding and application to multifractal analysis of South Californian seismicity

Y. Kamer, G. Ouillon, D. Sornette +1

We present the "condensation" method that exploits the heterogeneity of the probability distribution functions (PDF) of event locations to improve the spatial information content o…

physics.geo-ph2013★ 28 cited

Automatic reconstruction of fault networks from seismicity catalogs including location uncertainty

Yaming Wang, Guy Ouillon, Jochen Woessner +2

We introduce the Anisotropic Clustering of Location Uncertainty Distributions (ACLUD) method to reconstruct active fault networks on the basis of both earthquake locations and thei…

physics.geo-ph2010★ 25 cited

Adaptively Smoothed Seismicity Earthquake Forecasts for Italy

M. J. Werner, A. Helmstetter, D. D. Jackson +2

We present a model for estimating the probabilities of future earthquakes of magnitudes m > 4.95 in Italy. The model, a slightly modified version of the one proposed for California…

physics.geo-ph2005★ 41 cited

Pattern Informatics and Its Application for Optimal Forecasting of Large Earthquakes in Japan

K. Z. Nanjo, J. B. Rundle, J. R. Holliday +1

Pattern informatics (PI) technique can be used to detect precursory seismic activation or quiescence and make earthquake forecast. Here we apply the PI method for optimal forecasti…