SM
Seismology

Seismology

On the Frontline of the Mission for Marsquakes

January 16, 2023
On the Frontline of the Mission for Marsquakes
Image Credit: Géraldine Zenhäusern/ETH Zürich

This week we interview Géraldine Zenhäusern, a PhD student at ETH Zurich’s Department of Earth Sciences, about her experience of being on the frontline of spotting Marsquakes with NASA’s InSight mission…. What is the InSight mission? The NASA InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) mission is a geophysical observatory (see Fig. 1) which landed ...[Read More]

Seismic Swarms in the Azores

January 9, 2023
Seismic Swarms in the Azores

Will Sturgeon – Post-Doc at the Earth Sciences Department of University College London, UK – takes us on a journey to the Azores to deploy seismometers in response to the seismic swarm earlier in 2022… Protruding from the central Atlantic Ocean, about 1,400 km west of Lisbon, is an archipelago of nine volcanic islands, known as the Azores. Also described as “Europe’s Hawaii”, the ...[Read More]

Marsquake Detection with Machine Learning Methods

December 19, 2022
Marsquake Detection with Machine Learning Methods
Credit: NASA/JPL-Caltech

We interview Nikolaj Dahmen, a PhD student at ETH Zurich’s Institute of Geophysics, about how he uses Machine Learning methods to detect Marsquakes using data from NASA’s InSight Mission…. Why are marsquakes important to detect? Marsquakes generate seismic waves that travel from its source through the interior of the planet. The recordings of these waves carry information about the medium through ...[Read More]

Opinion: self-supervised Machine Learning in seismology

December 12, 2022
Opinion: self-supervised Machine Learning in seismology

Martijn van den Ende, a Postdoctoral research fellow at Université Côte d’Azur, writes about his thoughts on the state of Machine Learning in seismology… At this moment of writing, it is unlikely that any experienced seismologist is unaware of the recent advancements of Machine Learning (ML) methods in Earth Sciences. Some pioneering studies started paving the way for ML in the early 1 ...[Read More]