Introduction

DeepC is a SeisComP phase picker plugin that refines and classifies phase picks utilizing uses Deep Learning (DL) models. The plugin processes waveforms after initial phase detection (picking), e.g., by scautopick [12]. deepc can load a DL model for a given use case, which we refer to as a task. The available tasks are

1. Event classification: Classification of the causative source

2. Phase classification: Classification of the seismic phase of a given pick

3. Phase classification/onset time prediction: Joint phase classification and onset time refinement.

Fig. 1 Figure 1: Simplified workflow of DeepC

Along with DeepC gempa provides learned DL models. The installation of DeepC and of the models is described in section Installation. The general work flow and specific applications are described in section Workflow and Application and Setup.