Data Set: All Gamma - GR-v7r0p2-Big (10M All Gammas) · Bill Atwood, SCIPP/UCSC, Sept, 2005 3 GLAST...
Transcript of Data Set: All Gamma - GR-v7r0p2-Big (10M All Gammas) · Bill Atwood, SCIPP/UCSC, Sept, 2005 3 GLAST...
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
σModel = .02+.6/(McLogEnergy)2.5 + .005*(McLogEnergy-2.)2
Model
MC
NE
EGood !"#
$%
Energy Resolution Model
2=N
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 GLASTGLAST8
Thick PSF Core/TailVTX Class 1Tkr Class
Assessment
Variable Importance
Good PSF Probabilities
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
γ Eff. : .734 Bkg. Eff.: .093
Input Output
Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST12
Prefilter - Exclude These:
VTX Class350 < CalEnergyRaw < 3500
γ Eff. : .944 Bkg. Eff.: .110
Input Output
Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST13
Prefilter - Exclude These:
VTX Class3500 < CalEnergyRaw
γ 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
γ Eff. : .721 Bkg. Eff.: .038
Input Output
Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST15
Prefilter - Exclude These:
1Tkr Class350 < CalEnergyRaw < 3500
γ Eff. : .928 Bkg. Eff.: .026
Input Output
Bill Atwood, SCIPP/UCSC, Sept, 2005 GLASTGLAST16
Prefilter - Exclude These:
1Tkr Class3500 < CalEnergyRaw
γ 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