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A Docker image has been created that contains all of the LSST pipeline software as well as the simulation software. It is available from the Docker repository as jamespepcc/lsstsimulations:1.12. Please see the Docker Introduction page for more information about using Docker containers.

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docker run -ti jamespepcc/lsstsimulations:1.12

(You may need to include additional command line options if you wish to make use of shared folders, port forwarding, or other Docker features).

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For more information on how to find out what packages are available, install more packages, etc., please see the EUPS documentation. The current version of the container (v1.12) is based on the LSST pipeline software v14 and Python 3.6. An older version based on v13 . A v14 version is planned for the futureand Python 2.7 is available as jamespepcc/lsstsimulations:1.1.

MAF Tutorial Notebooks

A set of iPython tutorial notebooks for the MAF software is available from GitHub. After running the Docker image (or installing the LSST simulation software some other way), clone:

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• You must pass "-p 8888:8888" to docker run in order to make the port accessible from outside the container
• Before running notebooks you must set a password by running:
  • mkdir ~/.jupyter
  • jupyter notebook password
• When running jupyter notebook you must pass the "--ip 0.0.0.0" option on the command line to make the server bind to the correct network address
• You must determine the correct network address to access the Docker container from the host system. On Windows this is usually 192.168.99.100; on Mac OS X it is localhost; on Linux it can be determined using the docker ps and docker inspect commands. More details are given on the Docker Introduction page

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