D
Domenico Giardini
Researcher at ETH Zurich
Publications - 471
Citations - 24126
Domenico Giardini is an academic researcher from ETH Zurich. The author has contributed to research in topics: Mars Exploration Program & Seismic hazard. The author has an hindex of 78, co-authored 419 publications receiving 19123 citations. Previous affiliations of Domenico Giardini include Harvard University & École Polytechnique Fédérale de Lausanne.
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Earth-moon-mars coda attenuation comparison.
Sabrina Menina,Ludovic Margerin,T. Kawamura,Philippe Lognonné,Jules Marti,Mélanie Drilleau,Marie Calvet,Nicolas Compaire,Raphaël F. Garcia,Foivos Karakostas,Nicholas Schmerr,Martin van Driel,Simon Stähler,Matthieu Plasman,Domenico Giardini,Sebastian Carrasco,Brigitte Knapmeyer-Endrun,G. Sainton,Bruce Banerdt +18 more
TL;DR: Menina et al. as discussed by the authors proposed a method to solve the problem of the Lognonné end-run of the Knapmeyer-Endrun for the first time.
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Locating the Nordstream explosions using polarization analysis
TL;DR: In this article, the authors use a polarization-based location method to locate the source region without the need for a subsurface velocity model, and show that the two largest seismic events can be unambiguously attributed to the methane plumes observed on the sea surface.
Accelerating global parameter estimation of gravitational waves from Galactic binaries using a genetic algorithm and GPUs
TL;DR: In this paper , a GPU-accelerated method was proposed to compute the best fitting solution for binary signals across the entire frequency band from data with multiple overlapping signals, and these best fitting solutions were used to omit the burn-in stage of a Markov chain Monte Carlo method and to take full advantage of GPU accelerated signal simulation.
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Measuring Fundamental and Higher Mode Surface Wave Dispersion on Mars From Seismic Waveforms
Haotian Xu,Caroline Beghein,Mark P. Panning,Mélanie Drilleau,P. H. Lognonné,M. van Driel,Savas Ceylan,Maren Böse,Nienke Brinkman,John Clinton,Fabian Euchner,Domenico Giardini,Anna Horleston,Taichi Kawamura,B. Kenda,Naomi Murdoch,Simon Stähler +16 more
TL;DR: In this article, a hierarchical transdimensional Bayesian approach is presented to extract phase velocity dispersion and interior shearwave velocity (VS) models from a single seismogram, which can also fit unknown data noise, which reduces the risk of overfitting the data.