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CAL CAL - or -- or - Shower Shape Analysis Shower Shape Analysis

Kill Events coming in the backside

Kill Events coming in the CAL Sides

3 PreFilters / CTs one each forVTX, 1Tkr, and nTkr topologies

This is the 3rd of the three pieces. The data use for this require the CPF PreFilters CPFGamProb > 0Pass 5 PreFilters Accepted as isAttempt to limit CAL Back & Side entering Events

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Backside Entering FilterBackside Entering Filter

Pick up signal in last layers of CAL.Cross correlate Layers 6 & 7

Zoom-inZoom-in

Rotate: Take sum and differenceRotate: Take sum and difference

22 msCalYPosLLRmsCalXPosLLRCalLLRms

Check for Clean EntryCheck for Clean Entry

CUT THESE EVENTS

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Backside CutsBackside CutsCal67Sum = CalELayer7*2 + CalELayer6Cal67Diff = CalELayer7 - CalELayer6

((Cal67Sum - 66.)/33.5)^2 + ((Cal67Diff + .4)/7.2)^2 < 1.2 &CalLLRms < 30

Cal SidesCal Sides

Gamma Eff.: 99.4%Bkg Eff.: 84.5% kills 22426 / 145078

Spectrum of what's killedSpectrum of what's killed

Compare Edge Energy with total CAL EnergyCalDeltaEdgeEnergy = (CalEnergyRaw - CalEdgeEnergy)/ max(CalEnergyRaw ,1.)

Use the CalEdgeEnergy to flag signal

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1Tkr & nTkr Cases1Tkr & nTkr CasesCalDeltaEdgeEnergy < .4 |(CalDeltaEdgeEnergy < .95 - (30./(CalEdgeEnergy+20))^2 & CalEdgeEnergy < 300)) &CalDeltaEdgeEnergy < (1.1 - CalEdgeEnergy/200)

VTX CaseVTX Case(CalDeltaEdgeEnergy < .6 & CalDeltaEdgeEnergy < 6/CalEdgeEnergy & CalEdgeEnergy < 190)

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Putting the Back & Sides togetherPutting the Back & Sides together

Kills ~ 38% BkgCost: 1.4% Gammas

VTX PreFilterVTX PreFilterAccept if(CTBTkrCoreCalDoca < -3.9 & CalTrkXtalRmsTrunc > 12.4) |(CTBTkrCoreCalDoca >= -3.9 & CalTransRms > 13)

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1Tkr PreFilter1Tkr PreFilterReject if(XtalRmsTkrCoreDoca > -3 & CalTrkXtalRmsE > 12)

nTkr PreFilternTkr PreFilterAccept if((CTBTkrCoreCalDoca < -.3635) | (CalZEcntr >=-117.6 & CalTransRms >= 14.73)) & !((CalMIPRatio < 4 & CalLLRms > 5) | ((CalEnergyRaw - CalEdgeEnergy) < 100/sqrt(max(1, CTBBestEnergy)) & CalEdgeEnergy > 2) | (XtalRmsTkrCoreDoca > -3 & CalTrkXtalRmsE > 12))

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The resulting probability distributions. Notice that the Gamma loss is small for low CALGamProb cuts and the rate the loss increases is ~ zero.

Pass 5 - Pass 6 PreFilter ComparisonPass 5 - Pass 6 PreFilter Comparison

Overall small improvements seen.