...
python EventScanParallelSlice.py -r 777 --fakePedestal CalcNoiseAndMean_mean_r666_step0.npy --special commonModeregionCommonMode
and
python EventScanParallelSlice.py -r 777 -f ../scan/EventScanParallel_c0_r777_n1.h5 -L cm
...
One can run the clustering by doing
python SimpleClustersParallelSimpleClustersParallelSlice.py -r 777 --fakePedestal CalcNoiseAndMean_mean_r666_step0.npy --special commonModeregionCommonMode,FH
and
python SimpleClustersParallelSimpleClustersParallelSlice.py -r 777 -f ../lowFlux/SimpleClustersParallel_c0_r777_n1.h5 -L cm
...
This makes per-pixel gain histograms with fits and plots all the slice pixel gains (peaks). It also makes a histogram of all slice pixels energy across the run before clustering.