About
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Citing TieBeNN
--------------

The scientific paper describing **TieBeNN** is currently in preparation. Once published, citation instructions and DOI will be added here.

.. note::

   If you're using TieBeNN for research, please mention the name and link to the official GitHub repository so others can find and use it too.

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 :doc:`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
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TieBeNN is distributed under the **GNU General Public License v3.0 (GPLv3)**.

.. code-block:: none

   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
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- 🌐 **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.15384316
  TieBeNN: A neural network-based tool for automatic focal depth estimation. Now archived on Zenodo for reproducible citation.