Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST1

DC2 – First 10% RunsData Set: All Gamma - GR-v7r0p2-Big (10M All Gammas)

Pruning Cuts: (Gltword&14)(Valid Trigger = 3IR| CalLO| CalHi) Onboard Filter Engaged FilterStatus_HI == 0

Further Pruning Cuts TkrNumTracks > 0 CalEnergyRaw > 5 CalCsIRLn > 4

Resulted in 1046127 Events Smaller datasets used: Train: Evts 1-140k, Test: Evts 150k-290k, Data sets ~ 100k long

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST2

Good Energy AnalysisProfile

Last Layer

Tracker

Parametric

Model = .02+.6/(McLogEnergy)2.5 + .005*(McLogEnergy-2.)2

ModelMC

NE

EGood

Energy Resolution Model

2N

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST3

BestEnergy

Parametric Energy

50.

E

ENOISE

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST4

Energy Method Breakdown

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST5

Thin VTX/1Tkr

PSF Analysis

Found Vertex Decision Tree

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST6

Thin PSF Core/TailVTX Class 1Tkr Class

Assessment

Variable Importance

Good PSF Probabilities

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST7

Thick VTX/1Tkr

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST8

Thick PSF Core/TailVTX Class 1Tkr Class

Assessment

Variable Importance

Good PSF Probabilities

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST9

cos() < -.95

cos() < -.2 PSF Analysis Results

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST10

Back Ground file : backgndavgpdr-GR-v7r0p2-merit-TKR-prune.root Pruning Cuts: FilterStatus_HI == 0 TkrNumTracks > 0 1210517 events

After NoCal: CalEnergyRaw > 5: 541135 events CalCsIRLn > 4 : 475770 events

After Loose ACD Cut: AcdDOCA > 250 || Tkr1SSDVeto > 0: 111177 and 97200 AG (AG Eff. = .972)

After BestEnergyProb > .20: 104851 and 93760 AG (Eff = .965 (Last 2 Cuts: AG Eff. = .938))

After Prob PSF > .10: 80132 Bkg & 86810 AG (AG Eff. = .926)

AllGamma (AG) Sample:From 137k post FilterStatus_HI==0 Cut)

& 100k AG

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST11

Prefilter - Exclude These:

VTX ClassCalEnergyRaw < 350

Eff. : .734 Bkg. Eff.: .093

Input Output

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST12

Prefilter - Exclude These:

VTX Class350 < CalEnergyRaw < 3500

Eff. : .944 Bkg. Eff.: .110

Input Output

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST13

Prefilter - Exclude These:

VTX Class3500 < CalEnergyRaw

Eff. : .953 Bkg. Eff.: .007

Input Output

No Classification Tree – too few events

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST14

Prefilter - Exclude These:

1Tkr ClassCalEnergyRaw < 350

Eff. : .721 Bkg. Eff.: .038

Input Output

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST15

Prefilter - Exclude These:

1Tkr Class350 < CalEnergyRaw < 3500

Eff. : .928 Bkg. Eff.: .026

Input Output

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST16

Prefilter - Exclude These:

1Tkr Class3500 < CalEnergyRaw

Eff. : .922 Bkg. Eff.: .015

Input Output

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST17

Tower A

AllGamma Vertex Locations in the Thick Layers

BackGround Vertex Locations in the Thick Layers

After FilterStatus_HI == 0 TkrNumTrks > 0 CalEnergyRaw > 10 CalCsIRLn > 4 475.8k Events

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST18

After AcdDoca > 250 | Tkr1SSDVeto > 0 111.2k Events

After BestEnergyProb > .2 104.9k Events

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST19

After PSF(CORE) > .10 80.1k Events

After PreFilters 3.0k Events

Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST20

After Gamma.Prob > .65 200 Events

GoodGammaProb