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 :cite:t:`scautopick`. deepc can load a DL model for a given use case, which
we refer to as a *task*. The available tasks are

#. **Event classification:** Classification of the causative source
#. **Phase classification:** Classification of the seismic phase of a given pick
#. **Phase classification/onset time prediction:** Joint phase classification
   and onset time refinement.

.. _fig-deepc-workflow:

.. figure:: media/deepc-workflow-general-pattern.svg
   :align: center
   :width: 16cm

   Simplified workflow of |deepc|

Along with |deepc| gempa provides learned
:ref:`DL models<deepc-available-models>`. The installation of |deepc| and of the
models is described in section :ref:`sec-installation`. The general work flow and
specific applications are described in section :ref:`deepc-workflow` and
:ref:`deepc-applications`.