CIELO-RGS: a catalogue of soft X-ray ionized emission lines

The package contains Jupyter notebooks (Python 3) which reproduce figures in the paper. Running the notebooks using Docker The docker image allows one to run the notebooks on Linux, Mac OS and Windows regardless of the version of the operation systems and local python package/environment. Step 1: Download and install Docker on your computer To run a Docker image, please install Docker on your computer. See the Docker website for details and look for the Docker Engine community edition. Once you have downloaded and installed Docker, you can continue with this tutorial. Step 2a: Pull the CIELO-RGS image from Docker hub (see the alternative in Step 2b) user@linux:~> docker pull jmao2018/cielo_rgs:v0.0.1 Step 2b: Download the CIELO-RGS image from Zenodo and import the image as follows user@linux:~> docker load -i cielo-rgs-v0.0.1-docker.tar.gz The image will be named jmao2018/cielo_rgs with the tag v0.0.1 and can be found with the command: user@linux:~> docker images REPOSITORY TAG IMAGE ID CREATED SIZE jmao2018/cielo_rgs v0.0.1 image_id created 3.61GB Step 3: Run the container on Docker. The token of the Jupyter notebook is prompted on the screen. user@linux:~> docker run -p 8080:8888 -i jmao2018/cielo_rgs:v0.0.1 Step 4: Assuming port 8080 is available on the host machine. The notebooks can be accessed from the browser using localhost:8080 or http://127.0.0.1:8080. Step 5: Delete the docker image. user@linux:~>docker image rm -f image_id