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This is the third piece of the three-part analysis focusing on CAL shower shape analysis. Utilizing CPF PreFilters, the aim is to control back and side entering events, with specific features and criteria observed for Backside Entering Filter, Cross Correlation, and Layer Rotations. The analysis involves cutting events based on various parameters like Cal67Sum, Cal67Diff, CalLLRms, and CalEdgeEnergy, intending to differentiate signal from background events and improve efficiency. The study also explores various cuts and filters for different topologies, ultimately aiming to enhance the overall analysis process. The comparison between Pass 5 and Pass 6 PreFilters reveals subtle improvements in the probability distributions, emphasizing efficient event selection and signal flagging methods.
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CAL - or - Shower Shape Analysis This is the 3rd of the three pieces. The data use for this require the CPF PreFilters CPFGamProb > 0 Pass 5 PreFilters Accepted as is Attempt to limit CAL Back & Side entering Events Kill Events coming in the backside Kill Events coming in the CAL Sides 3 PreFilters / CTs one each for VTX, 1Tkr, and nTkr topologies
Backside Entering Filter Zoom-in Pick up signal in last layers of CAL. Cross correlate Layers 6 & 7 Rotate: Take sum and difference Check for Clean Entry CUT THESE EVENTS
Spectrum of what's killed Backside Cuts Cal67Sum = CalELayer7*2 + CalELayer6 Cal67Diff = CalELayer7 - CalELayer6 ((Cal67Sum - 66.)/33.5)^2 + ((Cal67Diff + .4)/7.2)^2 < 1.2 & CalLLRms < 30 Gamma Eff.: 99.4% Bkg Eff.: 84.5% kills 22426 / 145078 Cal Sides Use the CalEdgeEnergy to flag signal Compare Edge Energy with total CAL Energy CalDeltaEdgeEnergy = (CalEnergyRaw - CalEdgeEnergy)/ max(CalEnergyRaw ,1.)
1Tkr & nTkr Cases CalDeltaEdgeEnergy < .4 | (CalDeltaEdgeEnergy < .95 - (30./(CalEdgeEnergy+20))^2 & CalEdgeEnergy < 300)) & CalDeltaEdgeEnergy < (1.1 - CalEdgeEnergy/200) VTX Case (CalDeltaEdgeEnergy < .6 & CalDeltaEdgeEnergy < 6/CalEdgeEnergy & CalEdgeEnergy < 190)
Putting the Back & Sides together Kills ~ 38% Bkg Cost: 1.4% Gammas VTX PreFilter Accept if (CTBTkrCoreCalDoca < -3.9 & CalTrkXtalRmsTrunc > 12.4) | (CTBTkrCoreCalDoca >= -3.9 & CalTransRms > 13)
1Tkr PreFilter Reject if (XtalRmsTkrCoreDoca > -3 & CalTrkXtalRmsE > 12) nTkr PreFilter Accept 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))
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 Comparison Overall small improvements seen.