📈 Which seismic phase associator works best? 🧠Puente Huerta et al., benchmarked 5 algorithms testing their performance across diverse settings and under noisy-complex conditions Read more: seismica.library.mcgill.ca/article/view... ------ @jannesmunch.bsky.social

Our latest study in Nature, together with colleagues from @geomarkiel.bsky.social and universities from Greece, shows what happened beneath Santorini earlier this year when tens of thousands earthquakes shook the islands and the seafloor. It was magma. We also have 1/2 www.gfz.de/en/press/new...

This is one of the most interesting sequences I've worked on so far! It's great to see how machine learning can provide us with these detailed images of seismicity in near real time. I'm glad to have been able to contribute to this project.

Introducing Xdas — a Python library designed to manipulate distributed acoustic sensing (DAS) data. #SRL ⚒️ pubs.geoscienceworld.org/ssa/srl/arti...

SeisBench v.10 is out and it's time for some new models: - SkyNet allows picking regional phases and can even distinguish Pn, Pg, Sn, Sg (beware of the Terminator though) - SeisDAE brings easily retrainable seismic waveform denoising Check out all changes here: github.com/seisbench/se...

SeisBench v0.9 is out now. Some highlights of the new version: - The CWA dataset with broadband and strong motion data from Taiwan. - The CEED dataset covering more than 4 million waveforms from California. - A 20% speed-up when picking continuous datasets. github.com/seisbench/se...

Have you ever wondered how seismic swarms around slow slip events (SSEs) might work? In our recent work, we study the complex seismic migrations around the onset of a shallow SSEs in the Copiapó ridge in 2023. (1/2) agupubs.onlinelibrary.wiley.com/doi/10.1029/...

Looking forward to a week full of science and networking at #EGU25! Join my talk on Thursday afternoon if you want to learn about the seismicity in Northern Chile and how swarms reveal the mechanisms of slow slip. #Train2EGU

The registration for our International Training School for AI in Seismology is open now! The school combines lectures, poster sessions, practical tutorials, and networking opportunities. We're looking forward to welcoming you in Leipzig in May!

Our paper on QSeek is out in Seismica now. QSeek detects earthquakes and locates them precisely by backprojecting deep learning phase probability curves in time and space. And that at a blazingly fast speed! Thanks Marius Isken for this great work!

The main DEI page from @agu.org has been modified to take diversity out of the title. Glad to see it's not deleted entirely, but hey AGU, we're watching what you do and remembering the big game you once talked about supporting your diverse membership. Today vs. January

Hi Seismo-Bluesky! I decided to test a pipeline with SeisBench, PyOcto, NonLinLoc, and HypoDD on the Santorini sequence. The level of activity (>4,500 events) is truly stunning! There are repeated bursts migrating backwards and forwards, spreading outwards from a narrow, almost linear channel.

🤖 Ready to use artificial intelligence to revolutionize seismology? Then join us at the International Training School "AI 4 Seismology" on May 5-8, 2025 at @scadsai.bsky.social in Leipzig. So far confirmed trainers: - Tarje Nissen-Meyer (@exeter.ac.uk ) - René Steinmann (@gfz.bsky.social )

OTD twenty years ago the 3rd strongest earthquake ever recorded by seismometers struck offshore the island of Sumatra. A tsunami followed killing more than 200,000 people. In the aftermath we helped develop a tsunami warning system for the region. Read more here: www.gfz-potsdam.de/en/press/new...

Ready for #agu24. Come join our sessions on AI for solid Earth geosciences on Monday and Tuesday morning.

I am so excited for everyone to see this amazing story about the mysterious seismic signal, mega-tsunami, giant rockslide, and perpetual wave machine of a fjord! www.theguardian.com/environment/...

SeisBench v0.8 is out now with three new datasets and a bunch of new augmentations! It's great to see so much input from the community! Thanks to all contributors of this release! github.com/seisbench/se...

Huge relief with the French election results! Really happy that I will not be living under a far-right government!

Low-frequency earthquakes are essential markers for understanding slow fault deformation. Can we automatically detect them? @jannesmunch.bsky.social et al. can, using their novel deep-learning detector that does not require prior knowledge of the region: seismica.library.mcgill.ca/article/view...

SeisBench v0.7 is out with low-frequency earthquake detection, a wider variety of OBS detection data and models, new data from Texas, and the ability to pick a day of waveforms in less than 1 second. Check it out on Github! Thanks to all contributors of this large feature release!

Last week the SPIN ITN invited me to give a talk, so I spent have an hour talking about open source in science from a developer's perspective. Why do we need it? What are the challenges? How can I support open source? You can watch the recording on YouTube.

Happy to announce my first paper in Seismica! I present PyOcto, a novel phase association algorithm that can quickly identify earthquakes within large numbers of phase picks. Check out PyOcto at github.com/yetinam/pyocto

SeisBench v0.6 is out with the MLAAPDE dataset, a new async interface, and finally a backup repository. Thanks to all contributors! Looking forward to any contributions for v0.7. Just sumit a PR on Github!

After a great ML discussion last week at AGU, I'm looking forward to hosting the session on "Challenges and Opportunities of Machine learning in Solid Earth Geophysics" at EGU 2024 with Sophie Giffard-Roison, Fabio Corbi and Chris Marone. Submit your abstract here:

Looking forward to a week of science at AGU. Wednesday morning I'll present my poster on LFE detection with deep learning. Wednesday afternoon I'll speak about the PyOcto phase associator. And I already got the super cool @weareseismica.bsky.social tag!