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With the above data was recorded (in April 2023) and used to develop the detector interface.  From this we see events like the following in the data files.  Both runs were taken with one panel per segment.  The first is from run 277 (psana://exp=tstx00417,run=277,dir=/cds/data/drpsrcf/tst/tstx00417/xtc) and contains one the segment 3 panel, and the second is from 276 (psana://exp=tstx00417,run=276,dir=/cds/data/drpsrcf/tst/tstx00417/xtc) containing all 20 segments.

DrpPython

In the next step, the new DrpPython functionality was used to compress the raw data with libpressio.  We first tried the SZ algorithm and found that its performance didn't scale well with rate.  SZ3 worked better and we saw compression times of ~3.5 ms at a trigger rate of 5 kHz.  Calibrating the data to ready it for the compressor took 1.8 ms.  60 workers (60 python processes) were used to distribute the load and achieve the rate.  The following listing shows the DrpPython script used:

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