Credits#
The author would like to acknowledge Xinding Fang and Xiaofei Chen for their foundational work on the dimensionless ray parameter method [Fang and Chen, 2019], which inspired the development of LayTracer:
Dependencies#
LayTracer relies on the following Python libraries:
NumPy: A fundamental package for scientific computing in Python.
SciPy: A library for mathematics, science, and engineering in Python.
Matplotlib: A plotting library for Python.
Plotly: An interactive graphing library for Python.
Joblib: A set of tools to provide lightweight pipelining in Python.
LayTracer builds upon the open-source ecosystem, and the author gratefully acknowledges these tools.
Contributing#
Contributions, bug reports, and feature requests are welcome. Please use the GitHub repository to open issues or submit pull requests.
References#
X. Fang and X. Chen. A fast and robust two‐point ray tracing method in layered media with constant or linearly varying layer velocity. Geophysical Prospecting, 67(7):1648–1661, 2019. doi:10.1111/1365-2478.12799.