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Name

Purpose

Gamma Efficiency

Bkg Efficiency

Cut

BasicTileCut

Reject events with track pointing at struck tile.

94.2%

6.18%

Code Block
Tkr1SSDVeto< 5 && AcdTkr1ActDistTileEnergy > .7 && AcdTkr1ActiveDistENorm> -350

RibbonCut

Reject events with track pointing at struck ribbon.

93%

5.85%

Code Block
(AcdTkr1RibbonActDistENorm > -40  && 
Tkr1SSDVeto < 3 &&  AcdTkr1RibbonActDistMaxTileEnergy  > .04) || 
(AcdTkr1RibbonDist > -1/(CTBBestEnergy/100)  && Tkr1SSDVeto < 2)

TotalTileEnergyCut

Reject events with excess ACD total energy.

88.1%

2.08%

Code Block
AcdTotalTileEventEnergyRatio > .8 || AcdTkr1ActiveDistENorm > -200 && 
AcdTotalTileEventEnergyRatio > max(.005, .1 -  .0001*AcdTkr1ActiveDistENorm) * 
max(1., CTBBestLogEnergy/2.5)

CornerCut

Reject events in the corner gap of the ACD.

86.9%

2.06%

Code Block
((Tkr1LATEdge/1.5)^2 + (AcdCornerDocaENorm - 10)^2 < 6400  && 
Tkr1SSDVeto < 3)
|| (Tkr1LATEdge < 300 && abs(AcdCornerDocaENorm-2) < 4)

TileEdgeCut

Reject events at tile edges with decreased signal.

86.9%

2.06%

Code Block
Tkr1SSDVeto == 0 & abs(AcdTkr1ActiveDistENorm) < 10 & 
AcdTkr1ActDistTileEnergy > .025

VetoTileCut

Reject events with ...

86.6%

1.71%

Code Block
(AcdTkrVActiveDistENorm > -100 && AcdActDistTileEnergy /
sqrt(max(1., CTBBestLogEnergy-3.5)) > .9 +.15* TkrVSSDVeto) ||
 (abs(AcdTkrVActiveDistENorm) < 15 && AcdActDistTileEnergy > .25 && TkrVSSDVeto < 2)

Pass 8 Performance

Generating merit files off of the GlastRelease-HEAD1.1365 version (which came shortly after GlastRelease-v19r3p4), I started by looking at the effect of the Pass7 ACD cuts. Here the prefilters could have changed (since track finding etc. has changed). Using the same cut definitions, I find fairly similar results with slightly worse background rejection.

Prefilter

Gamma Efficiency

Bkg Efficiency

IrrFilter

0%

12%

TkrCalCore

6%

48%

AcdEngFilter

0%

2.4%

Total

6%

1.6%

Name

Gamma Efficiency

Bkg Efficiency

BasicTileCut

94.2%

11%

RibbonCut

93.3%

10.6%

TotalTileEnergyCut

87.1%

 

CornerCut

86.1%

2.47%

TileEdgeCut

86.1%

2.46%

VetoTileCut

85.7%

2.01%

Next, I look at implementing the AcdReconV2 cuts that Eric originally suggested. First defining some new AcdReconV2 variables:

Code Block

    "Acd2VetoHit" : "sqrt(Acd2TkrVetoSigmaHit*Acd2TkrVetoSigmaHit + 1.5*Tkr1SSDVeto*Tkr1SSDVeto)",
    "Acd2VetoHit1" : "sqrt(Acd2Tkr1VetoSigmaHit*Acd2Tkr1VetoSigmaHit + 1.5*Tkr1SSDVeto*Tkr1SSDVeto)",
    "Acd2VetoGap1" : "sqrt(Acd2Tkr1VetoSigmaGap*Acd2Tkr1VetoSigmaGap + 1.5*Tkr1SSDVeto*Tkr1SSDVeto)",

Applying the same prefilters, here are the cuts and their efficiencies.

Name

Purpose

Gamma Efficiency

Bkg Efficiency

Cut

VetoHit1Cut

 

 

 

Code Block
Acd2VetoHit1 < 5.

TotalTileEnergyCut

 

 

 

Code Block
(Acd2TotalTileEventEnergyRatio > .8 || (Acd2Tkr1ActiveDistENorm > -300 && 
Acd2TotalTileEventEnergyRatio > max(.005, .1 - .0001*Acd2Tkr1ActiveDistENorm)))

VetoGap1Cut

 

 

 

Code Block
 Acd2VetoGap1 < 2.

VetoHitCut

 

 

 

Code Block
 Acd2VetoHit < 2.