Dask assisted DSSC data binning

This allows more flexible DSSC data binning by using dask group_by function.

• binning with BAM time delay correction. Closes #24 (closed)
• provide documentation for DSSC binning via papermill parametrized notebook launched via sbatch
• remove the need to format processed DSSC module
• load the exfel anaconda environment and process the notebook with the xfel kernel. Closes #17 (closed)

scripts/start_job_single.sh

@@ -9,5 +9,9 @@ RUN=$1
 MODULES=$2
 RUNTYPE=$3
 
+source /etc/profile.d/modules.sh
+module load exfel
+module load exfel_anaconda3/1.1
+
 echo processing modules $MODULES of run $RUN
 python process_data_201007_23h.py --run-number $RUN --module ${MODULES} --runtype $RUNTYPE