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Finally, to plot, just use the plotting script from the tutorial as usual (no need to run this on Slurm!).

Additional Notes for Environments

I (Rachel) am using a Singularity image for non-SALT studies, made from Ines Ochoa's Docker container (here). This is a big image, and compiling it on SDF causes a crash due to insufficient tmp directory space. The solution was to specify the SINGULARITY_TMPDIR when building the image, as follows (on SDF):

[rhyneman@sdf-login02 ~]$ export SINGULARITY_TMPDIR=/sdf/group/atlas/g/XbbXccTrainingData/singularity/
[rhyneman@sdf-login02 ~]$ singularity pull --dir /sdf/group/atlas/g/XbbXccTrainingData/singularity/ --disable-cache vertexing.sif docker://miaochoa/vertexing

To use this container in an interactive SDF shell, one can just do: singularity shell /sdf/group/atlas/g/XbbXccTrainingData/singularity/vertexing.sif 

One can also use this container in an SDF Jupyter notebook/shell by calling this Singularity image on creation. Just put the following commands in the "Commands to initate Jupyter" box:

export SINGULARITY_IMAGE_PATH=/sdf/group/atlas/g/XbbXccTrainingData/singularity/vertexing.sif 

function jupyter() { singularity exec --nv -B /sdf,/gpfs,/scratch,/lscratch ${SINGULARITY_IMAGE_PATH} jupyter $@; }

NOTE: For some reason, the interactive session will default to a different python than what is contained in the Singularity image. You can call the correct python from: /opt/conda/bin/python .

In order to install extra packages in Singularity, one can just pip these directly while in that singularity container. For example:

/opt/conda/bin/pip install atlas-ftag-tools

Note that for the plotting script (in progress, based on the SALT tutorial), one needs to pip-install: puma-hep and atlas-ftag-tools.