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- Look how corresponding histograms compare in FastMon vs. Digi. They all should look pretty much the same, now. Relevant Jira(s): GDQMQ-325, GDQMQ-333, GDQMQ-325
- check the output of pRootDiffer.py - only DeltaEventTime_TH1 and DeltaWindowOpen_TH1 may be different.
This is almost right, as DeltaEventTime_TH1 and DeltaWindowOpen_TH1 are indeed different for the run processed in dev. We'll have to pin this down, at some point (LB).
- Make sure the Merit trending normalized rates look correct (there have been tons of changes). Relevant Jira(s): GDQMQ-310, GDQMQ-317, GDQMQ-330.
This looks ok for the run processed in dev (LB)
- Make sure the 2d plot of the orbit with the SAA overlaid is correctly created (and, possibly, is linked from the data monitoring page, though this isn't really related to the L1Proc). Relevant Jira(s): GDQMQ-326.
- Make sure the new errors on the tracker trending quantities that are have alarms on correctly show up. Relevant Jira(s): GDQMQ-327.
- Make sure the alarms involving a gaussian fitting do not screw up (the underlying algorithm has slightly changed). Relevant Jira(s): GDQMQ-329.
- Specifically take a look at the output of the alarm on the digi trending quantity Mean_Tick20MHzDeviation: ite is the first one using the new min_n feature of the y_values algorithm. Relevant Jira(s): GDQMQ-331, GDQMQ-334.