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https://github.com/yetinam/pyocto

PyOcto: A high-throughput seismic phase associator
https://github.com/yetinam/pyocto

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PyOcto: A high-throughput seismic phase associator

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PyOcto is a high-throughput seismic phase associator.
The best way to get started with PyOcto is through our interactive examples:

| Examples | |
|--------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Basics | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yetinam/pyocto/blob/main/examples/01_basics.ipynb) |
| Velocity models | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yetinam/pyocto/blob/main/examples/02_velocity_models.ipynb) |
| Interfaces | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yetinam/pyocto/blob/main/examples/03_interfaces.ipynb) |

If you're looking for further guidance, for example, a guide on how to set
the associator parameters, check out the [PyOcto documentation](https://pyocto.readthedocs.io).

## Installation

The easiest way to install PyOcto is through pip:

```bash
pip install pyocto
```

There are prebuilt wheels available for Linux, Mac OS, and Windows.
In case you want to use 1D velocity models, you will need to install
the optional dependency [pyrocko](https://pyrocko.org/). pyrocko is available through the
standard channels, such as `pip` or `conda`.

```bash
git clone https://github.com/yetinam/pyocto.git
cd pyocto
git submodule update --init
pip install .[test]
```

To verify your installation is working, use `pytest tests/`.

**Warning:** PyOcto uses POSIX threads for threading. As these are not available on Windows,
the Windows version is single-threaded. Therefore, we do not recommend running larger computations
on Windows.

## References
If you're using PyOcto in your work, please cite:

Münchmeyer, J. (2024). PyOcto: A high-throughput seismic phase associator. Seismica. *[[Paper]](https://seismica.library.mcgill.ca/article/view/1130)*.