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DHCAL Noise Filter

DHCAL Noise Filter. Analyze each ΔTS separately – assumption: noise is concentrated in 1TS  Eliminate the noise TS and use the rest of the event. Board Noise. 2. 3. 1. 4. MC. MC: DHCAL Oct10 setup, assume all hits in 1ΔTS e+: 2, 4, 6, 8, 10, 12, 16, 20, 25, 32 GeV

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DHCAL Noise Filter

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  1. DHCAL Noise Filter

  2. Analyze each ΔTS separately – assumption: noise is concentrated in 1TS  Eliminate the noise TS and use the rest of the event Board Noise 2 3 1 4 MC MC: DHCAL Oct10 setup, assume all hits in 1ΔTS e+: 2, 4, 6, 8, 10, 12, 16, 20, 25, 32 GeV pi+: 2, 4, 6, 8, 10, 12, 16, 20, 25, 32, 40, 50, 60 GeV Cut if MaxBoardOcc>120

  3. Verify NoiseFilter 2 1 In Time (using 2 ΔTS) Out Of Time

  4. 4 3 In Time (using 2 ΔTS) Out Of Time

  5. Board Frame Noise Previously: Cut if MaxBoardFrameOcc>30 Not so obvious now. For now, impose: Cut if (MaxBoardFrameOcc>10 && MaxBoardFrameOcc==CorrespondingBoardOcc) Clear the ASIC-related noise first. ASIC-related MaxBoardFrameOcc>10 && MaxBoardFrameOcc==MaxBoardOcc next slide

  6. In Time (using 2 ΔTS) Out Of Time MaxBoardFrameOcc>10 && MaxBoardFrameOcc<20 && MaxBoardFrameOcc==MaxBoardOcc && MaxBoardOcc<120 MaxBoardFrameOcc>20 && MaxBoardFrameOcc<30 && MaxBoardFrameOcc==MaxBoardOcc && MaxBoardOcc<120

  7. In Time (using 2 ΔTS) Out Of Time MaxBoardFrameOcc>30 && MaxBoardFrameOcc==MaxBoardOcc&& MaxBoardOcc<120

  8. But, modify based on MC MC - zoom MC Cut if (MaxBoardFrameOcc>15 && MaxBoardFrameOcc==CorrespondingBoardOcc)

  9. ASIC Noise MC MC Cut if (MaxASICOcc≥45 && Nhits<300 or MaxASICOcc≥55 && Nhits≥300) && (ASICOcc≥45+0.8xMeanNeighLayerASICOcc) Remark: No ASIC occupancy = 64 after MaxBoardOcc>120 cut – verified with 660210

  10. After the cuts so far 20

  11. 21 23 Board borders aligned along the x-direction 22 Board borders aligned along the y-direction

  12. 20 21 Cut all (ASICOcc≥45+0.8xMeanNeighLayerASICOcc)

  13. 22 23

  14. ASIC Frame Noise MC MC Cut if (ASICFrameOcc>13 && ASICFrameOcc==CorrespondingASICOcc) (24)

  15. 24 Cut if (ASICFrameOcc>13 && ASICFrameOcc==CorrespondingASICOcc) Helper for the board frame noise which is not yet implemented.

  16. Board Frame Noise For the Cases 21, 22 and 23 MC 21, 22, 23 all zoom MC • Implement two versions of cuts: • Loose: Require for each event, discard the event only if the noise is in time with the event. • Tight: Leave the implementation option to the analyzer. • Cuts related to these plots on next slide 

  17. Noise Filter Loose Selection: Cut if MaxBoardOcc>120 or (MaxBoardFrameOcc>15 && MaxBoardFrameOcc==CorrespondingBoardOcc) or (ASICOcc≥45+0.8xMeanNeighLayerASICOcc) or (ASICFrameOcc>13 && ASICFrameOcc==CorrespondingASICOcc) or BoardBorderHits≥10 && MeanBorderLineNeigh≤1 for borders along X or BoardBorderHits≥10 && MeanBorderLineNeigh≤1 for borders along Y Tight Selection: Cut if MaxBoardOcc>120 or MaxBoardOcc>90 && Nhits<400 or (MaxBoardFrameOcc>15 && MaxBoardFrameOcc==CorrespondingBoardOcc) or (ASICOcc≥45+0.8xMeanNeighLayerASICOcc) or (ASICFrameOcc>13 && ASICFrameOcc==CorrespondingASICOcc) or BoardBorderHits≥10 for borders along X or BoardBorderHits≥15 for borders along Y or BoardBorderHits≥10 && MeanBorderLineNeigh≤1 for borders along Y

  18. Noise Filter Statistics Total number of events analyzed:  55600593 1 Events with bad timing (MPEvent≠MPRun2):  745428(1.3%3) Events after timing veto:  54855165 Events with in time noise4:  608909 (1.1%) Events with out of time noise:  109040 (0.2%) Events after noise veto: 54246256(97.6% of grand total) 1FNAL Runs ~ 23M, CERN Runs ~ 33M = ~ 56M. 2 The most popular (MP) ΔTS bin is not one of the two MPs of the run. 3 See the top left figure in slide 11 of ΔTS analysis. 4 In time with any of the selection patterns in slide 16 of ΔTS analysis.

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