70 likes | 159 Views
CAL - or - Shower Shape Analysis. This is the 3 rd 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.
E N D
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.