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A suite of scripts to compare human-based seismic wave (P&S) arrival time detection with the deep learning-based PhaseNet picking method.

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Kaikoura Earthquake

Contains scripts to read, filter, and process seismic waveform data.

The waveform_dsp.py script creates displays the probability output from the PhaseNet neural network seismic wave detection algorithm and compares it with human picks. Sample plots are shown in the repository.

Waveform 1 Waveform 2

PhaseNet Neural Network:
Zhu, W., & Beroza, G. C. (2018). PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method. arXiv preprint arXiv:1803.03211.

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A suite of scripts to compare human-based seismic wave (P&S) arrival time detection with the deep learning-based PhaseNet picking method.

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