213 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH19 papers
- Institute of GeophysicsRU5 papers
- Heidelberg UniversityDE3 papers
- GFZ Helmholtz Centre for GeosciencesDE2 papers
- Institute of Space SciencesES2 papers
- Institute of Structural EngineeringCH2 papers
- University of LiverpoolGB2 papers
- Australian Astronomical ObservatoryAU1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Freie Universität BerlinDE1 paper
- GEOMAR Helmholtz Centre for Ocean Research KielDE1 paper
20 papers
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…
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…
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…
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…
Neural Network Applications in Earthquake Prediction (1994-2019): Meta-Analytic Insight on their Limitations
Arnaud Mignan, Marco Broccardo
In the last few years, deep learning has solved seemingly intractable problems, boosting the hope to find approximate solutions to problems that now are considered unsolvable. Eart…
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis
Ziqi Wang, Marco Broccardo
This paper proposes an active learning-based Gaussian process (AL-GP) metamodelling method to estimate the cumulative as well as complementary cumulative distribution function (CDF…
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(…
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…
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…
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…
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…
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…
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…
The Barycentric Fixed Mass Method for Multifractal Analysis
Yavor Kamer, Guy Ouillon, Didier Sornette
We present a novel method to estimate the multifractal spectrum of point distributions. The method incorporates two motivated criteria (barycentric pivot point selection and non-ov…
The progenitors of magnetic white dwarfs in open clusters
B. Külebi, J. Kalirai, S. Jordan +1
According to the fossil-field hypothesis magnetic fields are remnants of the previous stages of evolution. However, population synthesis calculations are unable to reproduce the ma…
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…
Two new young, wide magnetic + non-magnetic double-degenerate binary systems
Paul D. Dobbie, Richard Baxter, Baybars Kulebi +5
Abridged: We report the discovery of two, new, rare, wide, double-degenerate binaries that each contain a magnetic and a non-magnetic star. The components of SDSSJ092646.88+132134.…
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…
Analysis of hydrogen-rich magnetic white dwarfs detected in the Sloan Digital Sky Survey
B. Kulebi, S. Jordan, F. Euchner +2
We model the structure of the surface magnetic fields of the hydrogen-rich white dwarfs in the SDSS. We have calculated a grid of state-of-the-art theoretical optical spectra of hy…
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…