02 pedestal(capID)
Run 9067013, 30K st_physics events, spectra accumulated separately for every cap.
Top plot pedestal (channel), bottom plot integral of pedestal peak to total spectrum.
Fig 1. CAP=122
Fig 2. CAP=123
Fig 3. CAP=124
Fig 4. CAP=125
Fig 5. CAP=126
Fig 6. CAP=127
Fig 7. Raw spectra for capID=125. Left: typical good pedestal, middle: very wide pedestal, right: stuck lower bit.
For run 9067013 I found: 7 tiles with ADC=0, ~47 tiles with wide ped, ~80 tiles with stuck lower bit.
Total ~130 bad BPRS tiles based on pedestal shape, TABLE w/ bad BPRS tiles
Fig 8. QA of pedestals, R9067013, capID=125. Below is 5 plots A,...,F all have BPRS soft ID on the X-axis.
A: raw spectra (scatter plot) + pedestal from the fit as black cross (with error).
B: my status table based on pedestal spectrum. 0=good, non-zero =sth bad.
C: chi2/DOF from fitting pedestal, values above 10. were flagged as bad
D: sigma of pedestal fit, values aove 2.7 were flagged as bad
E: integral of the found pedestal peak to the total # of entries. On average there was ~230 entries per channel.
Fig 9. BPRS pedestals for 'normal' caps=113,114,115 shown with different colors
Fig 10. BPRS pedestals for caps=100..127 and all softID , white means bad spectrum, typical stats of ~200 events per softID per cap
Fig 11. BPRS:" # of bad caps , only capID=100...127 were examined.
Fig 12. BPRS:" sig(ped)
Fig 13. BPRS:" examples of ped distribution for selected channels. Assuming for sing;e capID sig(ped)=1.5, the degradation of pedestal resolution if capID is not accounted for would be: sqrt(1.5^2 +0.5^2)=1.6 - perhaps it is not worth the effort on average. There still can be outliers.
