We offer the LOFAR software as Docker images, allowing anyone to run our software using the same configuration, without having to build it. Our images can be browsed at https://hub.docker.com/r/lofar/.

To run the lofar pipeline software, you need to:

1. Install and configure Docker on your computer (Mac/Linux/Windows)
2. Download and start the LOFAR image by running:

   docker run -it --rm -u $UID -e USER -e HOME -v $HOME:$HOME lofar/lofar-pipeline:LOFAR-Release-2_19

   To list all available versions, go to https://hub.docker.com/r/lofar/lofar-pipeline/tags/.

3. You now have the LOFAR software available at your finger tips, and your home directory available. You can run for example:

   you@3617438dfc63:/$ NDPPP  
   Usage: DPPP [-v] [parsetfile] [parsetkeys...]
     parsetfile: a file containing one parset key=value pair per line
     parsetkeys: any number of parset key=value pairs, e.g. msin=my.MS

   or:

   you@3617438dfc63:/$ long_baseline_pipeline.py 
   /opt/lofar/lib/python2.7/site-packages/lofarpipe/support/utilities.pyc : Using default subprocess module!
   Usage: /opt/lofar/bin/long_baseline_pipeline.py <parset-file>  [options]
   Results:

   or one of our dependencies:

   you@3617438dfc63:/$ /opt/aoflagger/bin/aoflagger
   AOFlagger 2.8.0 (2016-06-21) command line application
   This program will execute an RFI strategy as can be created with the RFI gui
   and executes it on one or several observations.
   
   Author: André Offringa (offringa@gmail.com)
   
   Usage: ./aoflagger [options] <obs1> [<obs2> [..]]
   ...

To run the lofar pipeline software, you need to:

1. Install and configure Docker on your computer (Mac/Linux/Windows)
2. Download and start the LOFAR image by running:

   docker run -it --rm -u $UID -e USER -e HOME -v $HOME:$HOME lofar/lofar-pulp:LOFAR-Release-2_19

   To list all available versions, go to https://hub.docker.com/r/lofar/lofar-pulp/tags/.

3. You now have the LOFAR pulp software available at your finger tips, and your home directory available. You can run for example:

   you@3617438dfc63:/$ pulp.py 
   Usage: pulp.py <--id ObsID> [-h|--help] [OPTIONS]

A: For lofar-pipeline, surf to https://hub.docker.com/r/lofar/lofar-pipeline/tags/. For lofar-pulp, surf to https://hub.docker.com/r/lofar/lofar-pulp/tags/.

We put the following in our lofar-pipeline image:

• LOFAR Pipeline Framework & Recipes
• NDPPP
• AWImager
• AOFlagger
• DAL2
• Casacore + casarest + python-casacore

Once you have the Docker image up and running, you will need some data to work on, and likely a parset with configuration settings. If you've put both in your home directory, they're immediately available when running with the commands described on this page. If not, you can use additional ''-v'' parameters to make more directories available in your Docker container.

A: The LOFAR software is compiled for a 2015-era processor (Intel Xeon E5-2603v3 to be exact) for performance reasons, and uses CPU instructions not available on older machines. Please run our images on a newer machine.