About
Citing TieBeNN
Ramos et al. (2026). A quasi-real-time system for automatic local event monitoring in Germany. Seismica, 5 (1). https://doi.org/10.26443/seismica.v5i1.1815
Acknowledgements
This project integrates, builds upon, and benefits from:
NonLinLoc
SeisBench
PhaseNet, EQTransformer, DeepDenoiser, which are open-source ML models integrated in SeisBench
PyOcto and GaMMA for phase association
Crustal models from several published studies (see full list in Velocity models)
Python packages and libraries maintained by the open-source community 💚
Special thanks to contributors, test users, and colleagues from the Federal Seismological Service (EdB) at BGR.
License
TieBeNN is distributed under the GNU General Public License v3.0 (GPLv3).
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
A copy of the full license is available in the LICENSE file.
Links & availability
🌐 GitHub (public mirror) https://github.com/Cthuulhaa/tiebenn.git The TieBeNN repository publicly available on GitHub for citation, installation, and issue reporting.
📦 Zenodo archive https://doi.org/10.5281/zenodo.15825093 TieBeNN: A neural network-based tool for automatic focal depth estimation. Now archived on Zenodo for reproducible citation.