Using Muon Removed files to assess the purity of the nubar-PID selection
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Transcript of Using Muon Removed files to assess the purity of the nubar-PID selection
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Using Muon Removed files to assess the purity of the nubar-PID selection
Pedro OchoaMINOS Collaboration Meeting
September 2006
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all
NC
vv
L010185 MC
For a cut at nubar-PID=1.0, MC shows:
Overall purity: 99.75%Overall efficiency: 45.98%
• Do we believe this high purity?
Introduction
• Nubar-PID selection allows to separate antineutrinos with very high purity and reasonable efficiency:
fiducial volume track quality fit probability
1m < Zvtx < 5mrvtx < 1m
track fit pass / ndf < 20
2UVasym < 6
+ +Prob( , ndf) > 0.1
2Basic cuts:
then apply nubar-PID:
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Background (124 events total) • Can separate the background into two categories:
Category 1: - is reconstructed as + due to hard scattering and/or pattern recognition problems = misidentified
Category 2: tracker fooled by positive particle (decay in flight, proton, pion, kaon… ) = fake
• Use IdHEP of tracked particle: trkIdHEP=13 Category 1
trkIdHEP!=13 Category 2
+
-
+ + p
About ~1/3 of the background pertains to category 2:124 background events of
nubarPID > 1.0 selectionSelection Category 2 %
nubarPID > 1.0 32.3 ± 4.2
nubarPID > 0.9 31.8 ± 3.3
nubarPID > 0.5 25.2 ± 1.4
*Note: Category 1 contains a small component of misidentified negative stuff from hadronic shower.
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Category 2 example – NC ( decay in flight)
tracked particle
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Category 2 example – NC (proton)
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c
Category 2 example – CC (Λc+)
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Category 2 example – CC (K+)
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True_y of CC , category 2
• CC subcategory of Category 2 events seem to be high y
• “Good” MRCC selection:
Means:Data: 0.952MC: 0.958
dataMC scaled to POT
dataMC scaled to POT
Means:Data: 0.975MC: 0.973
best_purity > 0.8best_complete > 0.8best_purity_phw > 0.8best_complete_phw > 0.8
Can use MRCC files to answer whether category 2 events are reasonably well modeled.
Event has to be best match to original
Purity=
Completeness=
(see Anna H. talk, minos-doc 2164)
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dataMC scaled to # events
dataMC scaled to POT
Run MRCC Data and MC though selection
data/MC
data/MC
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dataMC scaled to # events
dataMC scaled to POT
MC: 38.8 ± 10.4
•nubar-PID > 1.0 region:
Data: 30 ± 5.5
MC: 34.2 ± 9.1•nubar-PID > 1.0 region:
Data: 30 ± 5.5
•nubar-PID > 0.5 region:
MC: 88.8 ± 9.4
Data: 96 ± 9.8
•nubar-PID > 0.5 region:
MC: 78.1 ± 8.8
Data: 96 ± 9.8
Scaled to # events:
Scaled to POT:
Looking at the signal region:
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dataMC scaled to # events
dataMC scaled to # events
data/MC
data/MC
nubar-PID > 1.0 selection
nubar-PID > 0.5 selection
• What about energy dependence?
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Summary
Nothing crazy. Lack statistics…
Analysis shows so far that “category 2” background in our nubar-PID > 1.0 selection can be scaled overall by a factor of 0.77 ± 0.25
Ultimately also need to:Account for MRCC efficiency and purity Compare subcategories in MRCC and in MC
What to do if more statistics reveal a considerable energy dependence?
One possibility: use ratios in previous slides to scale background binned in reco energy (removing primary CC energy if applicable).
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BACKUP
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NC - Pion decay in flight
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CC - Pion
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nubar-PID > 0.0 signal:
MC: 1895 ± 72
Data: 2123 ± 46
nubar-PID > 0.0 signal:
MC: 1666 ± 64
Data: 2123 ± 46
dataMC scaled to # events
dataMC scaled to POT
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nubarPID>1.0
nubarPID>0.5 nubarPID>0.0