SEG DASCore Tutorial

This repository provides a gentle introduction to DASCore, a python library for distributed fiber optic sensing. After completing the tutorial users should be able to:

1. Use DASCore to index, query, and chunk a directory of DAS files.

2. Create visualizations of DAS Patches.

3. Perform filtering to improve signal to noise ratio of seismic events.

4. Calculate time-based statistics on rolling windows of continuous data.

The introductory slides can be found here.

You will also find four notebooks in this repo containing examples and exercises.

A DASCore version >= 0.1.4 is required.

Installation

Each of the notebooks has a "launch in collab" button you can use so you don't need to setup anything. However, if you wish to do this tutorial with a local installation of DASCore you can use the following section.

Local installation

To install DASCore, you can use pip:

pip install "dascore[all]"

or conda/mamba (while also creating a virtual environment)

mamba create -n dascore dascore

Next, make sure jupyter notebook/lab is installed in your current environment then you are ready to open the notebooks.

jupyter

See the DASCore installation documentation for more details.