pass 6: gr v13r9 muons, all gammas, & backgrounds
DESCRIPTION
Pass 6: GR V13R9 Muons, All Gammas, & Backgrounds. Bill Atwood SCIPP/UCSC. Data Sets: Muons: allMuon-GR-v13r9 (14- Jan-2008) AG: allGamma-GR-v13r9 (14-Jan-2008) BKG: backgnd-GR-v13r9 (15-Jan-2008). Initial Pruning Cuts: - PowerPoint PPT PresentationTRANSCRIPT
Pass 6: GR V13R9Pass 6: GR V13R9 Muons, All Gammas, & BackgroundsMuons, All Gammas, & Backgrounds
Data Sets:Data Sets: Muons: allMuon-GR-v13r9 (14- Jan-2008) AG: allGamma-GR-v13r9 (14-Jan-2008) BKG: backgnd-GR-v13r9 (15-Jan-2008)
Bill AtwoodSCIPP/UCSC
Initial Pruning Cuts:Initial Pruning Cuts: ObfGamStatus >= 0 Passed Onboard Filter (Only Bkg. Data set) TkrNumTracks > 0 At least 1 track CalCsIRLn > 4 Track intercepts CAL CTBCORE > .1 Not unreasonable recon
Normalizations & Irreducibles Normalizations & Irreducibles Live time = 2 sec/Run * No. Runs * .925 (Dead Time Corr.) DT Corr = 55,270,161 evts * 26 sec/event /(2* (10000-447)) sec total run time = .925
Irreducible Event Filter Cuts((McZDir < -.2 & McId < 20) | Acceptance FoV for e+ , e- & (McZDir < .1 & McId > 20)) & Acceptance FoV for protonsMcAcdZEnter > 100 & Enters Tracker McCharge !=0 & Isn't a Photon McTHPosHitOthers < 6 & Not enough hits to track anything but e+ & e- McAcdActDistTileEnergy < .2 Entering Tile has little energy
Cuts to blind Irred. Filter to Ribbons!(((abs(McAcdXEnter)< 519 & abs(McAcdXEnter) > 485 ) | (abs(McAcdXEnter)< 181 & abs(McAcdXEnter) > 155 ))| ((abs(McAcdYEnter)< 519 & abs(McAcdYEnter) > 485 ) | (abs(McAcdYEnter)< 181 & abs(McAcdYEnter) > 155 ))| (abs(McAcdXEnter)> 820 & abs(McAcdYEnter) > 820 ))
As noted in Pass 5: The ratio of proton events to QED is different - predict ~ 30% As noted in Pass 5: The ratio of proton events to QED is different - predict ~ 30% have 4%! ??have 4%! ??
CPF Analysis CPF Analysis
Remove Irreducible Events: 47827 Bkg. events left Events use Pass 5 definition
CPF Acceptance & Quality Bkg. Cut: 50048 Bkg. events leftMcZDir < -.2 & McAcdZEnter > 100 & McCharge != 0 & CTBCORE > .1 & CalCsIRLn > 4
All Gammas:All Gammas: First 200k Events (corresponding to 2.65 x 106 generated)
Quality Cuts: 165322 events Left CTBCORE > .1 & CalCsIRLn > 4
Background EventsBackground Events Live time = 7370 sec ( Used first 3984 runs) (499957 events)
Pass 6 CPF AnalysisPass 6 CPF Analysis
Use Ribbons to close gaps between ACD Tiles
Kill Tracks pointed at the ACD Corner Gaps
Veto Events with 1st Track pointed at hit Tile
Remove events with excess Total ACD Energy
Cut to remove events with low pulse height near Tile edges
Compute Energy compensated variables for CT usage
Compute CPFGamProb using CT Ensemble and Clean-up
SchematicSchematic
What's new since Pass 5What's new since Pass 5 Using Ribbons as intended Usage of scaled ACD energies Improved understanding of
where self veto comes from
Ribbon CutRibbon CutAcdRibbonActDist > -(2 +350/sqrt(max(20,CTBBestEnergy))) &AcdRibbonEnergy > .05 & (was .1)Tkr1SSDVeto < 3AcdTkr1RibbonDist > -2 & Tkr1SSDVeto < 2 Try eliminating blanking out RibbonsTry eliminating blanking out Ribbons
The >650 ZEROs maybe a problem
Low Cut Used!
Inefficiency circled in RED
Percentages
Very low pulse height cuts, makes analysis vulnerable to mismatch to as-built equipment
AcdCornerDocaENorm = AcdCornerDoca*(min(1000, max(30, CTBBestEnergy)))^.5/10.
ACD Corner CutACD Corner Cut(Tkr1LATEdge ^ 2 + (AcdCornerDocaENorm - 10)^ 2 < 3600 | (Tkr1LATEdge < 80 & abs(AcdCornerDocaENorm-2) < 4)) & Tkr1SSDVeto < 3
ACD Corner CutACD Corner Cut
Percentages
Most distances used in this analysis are scaled byThis makes the cut Energy dependent.
rgyCTBBestEne
Selection: Tkr1LATEdge < 150 & Tkr1SSDVeto < 3
Vetoed Events shown in PURPLE
ACD Basic Tile Energy CutACD Basic Tile Energy CutExample 1 Cut: Example 1 Cut: Tkr1SSDVeto == 0 & AcdTkr1ActiveDist > 0 & AcdTkr1ActDistTileEnergy > 1.
Self Veto StudySelf Veto StudyPlot the ratio of events in Low & High energy bands as a function of the Tile Energy Cut.
Having jumped ahead to the end of the analysis, there is an appreciable leakage of high energy events that can be missed by this cut. This sets limits on how liberal one can be with the Active Distance and associated Tile Energy. The scaled ACD energies become less capable as the reconstructed event energy increase (ie. > 10 GeV). These suggest that the Active Dist. Min is -16mm and Tile energy is .4 MeV. Fortunately the SSD req. is == 0
Example 2 Cut: Example 2 Cut: Tkr1SSDVeto < 5 & AcdTkr1ActiveDist > 0 & AcdTkr1ActDistTileEnergy > .2
Note: This portion of the CPF Analysis was done with v13r7 since my v13r9 datasets all had the min. basics Active Dist. - Tile Energy cut applied in the Skimmer.
Example 1
Low & High Energy Bands
StoryStory
Tkr1SSDVeto == 0Tkr1SSDVeto <= 1Tkr1SSDVeto <= 2Tkr1SSDVeto <= 4
Tkr1SSDVeto == 0 & AcdTkr1ActiveDist > 0 & AcdTkr1ActDistTileEnergy > 1.
Tkr1SSDVeto == 0 & AcdTkr1ActiveDist > -16 & AcdTkr1ActDistTileEnergy > .4
Correlation between Basic and Total Energy Cuts
Cost of #2 over #1: 936 Events (.7%)Cost of #2 over #1: 936 Events (.7%)
Two Choices for the Basic Veto CutTwo Choices for the Basic Veto Cut
This was the cut used in the Skimmer
This cut more reflects our usage in practice
#1#1 #2#2
This really helps reduce the high energy residual Bkg. eventsUSING #2USING #2
First CutAcdTotalTileEventEnergyRatio > .8
ACD Total Tile Energy CutACD Total Tile Energy CutScaled ACD Tile EnergiesScaling the ACD energies to the total reconstructed energy lessens the self veto effect
dramatically. Two scale energy variables are considered:
AcdTileEventEnergyRatio = AcdTkr1ActDistTileEnergy/CTBBestEnergy * 100
AcdTotalTileEventEnergyRatio = AcdTotalEnergy/CTBBestEnergy * 100
Advantages & Disadvantages Scaled responses automatically increase amount in ACD require to Veto an event as E
increases The dependence on Tracking (along with its ~ 2% mis-tracking) is greatly reduced However as CTBBestEnergy increase, eventually even a MIP is passed…
Note: something akin to this could be done onboard the LAT!
Total Tile Energy CutTotal Tile Energy CutAcdTotalTileEventEnergyRatio > .8 |(AcdTkr1ActiveDistENorm > -300 & AcdTotalTileEventEnergyRatio > max(.005, .1 - .0001*AcdTkr1ActiveDistENorm))
Tile Edge Energy CutTile Edge Energy Cutabs(AcdTkr1ActiveDistENorm) < 15 & AcdTotalTileEventEnergyRatio > .005
Vetoed Events shown in BLUEThe simple cut can be improved on by using Tracking (AcdTkr1ActiveDistENorm)
ZOOM INZOOM IN
More can be gained by using the single tile energy associated with the 1st Track. This is helpful near the tile edges where the pulse height is low
1 CT
2 CTs
CT Analysis: To divide the data or not to divide the data?CT Analysis: To divide the data or not to divide the data?A key factor in using the ACD are the SSD Vetoes. It is natural to break the data into subsets according the number of SSD Vetos
Case 1: No divisionCase 1: No division
Case 2: 0 and > 0 SSD VetoesCase 2: 0 and > 0 SSD Vetoes
CPF CTCPF CTChoose no division as nothing gained.Greatly amplified the statistics here byincluding all the available data (nominally 20k sec worth)
CPFGamProb > 0 50 Events 2.8 x 10-4
178384 Events
For McTkr1DirErr < .01: No. Events = 174752 and 10 with CPFGamProb > 0 (98.0 %) (0.6 x 10-4)
Muon Hermiticity TestMuon Hermiticity Test
50 Events 10 Events
Pass 6 - Pass5 CPF Performance ComparisonPass 6 - Pass5 CPF Performance Comparison
Note: These plots use the v13r7 data - skimmed v13r9 data have Basic Cut applied
Conclusion:Conclusion: Pass 6 is an order of magnitude better the Pass 5 while retaining the same Gamma efficiency!
V13r9: Shapes different due to Skimmer cut