2. Methods
• Unoscillated FD Monte Carlo used for calorimetric and charged
current energy data
• First step
• Look at events failing ReMId, but pass everything else
• Separate into NC and CC
• Second step
• Separate by hadronic energy fraction
• Only looked nonswap beam mc and not cosmic
• No oscillations applied to events
• Results for 9e20 POT (3rd Analysis data size)
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3. All Events Failing ReMId
CC events: 50.3953
NC events: 57.3819
CC events: 50.3995
NC Events: 57.3996
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7. Recap
• Poor purity with events only failing ReMId
• Separating by HadE fraction not effective
• Next step: what about events failing ReMId but fail
nueid or ncid cut, as identified by CVN?
• Fail nueid: sel.cvn.nueid ≤ 0.75
• Fail ncid: sel.cvn.ncid ≤ 0.2
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9. Adding Another Cut: numuid
• Cut defined: sel.cvn.numuid > 0.5
• Selection criteria: event must fail nueid and ncid, OR
pass numuid
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10. Events Failing nueid and ncid, OR
Passing numuid
Surviving CC events: 24.7889 (49 %)
Surviving NC events : 1.17491 (2.0 %)
Surviving CC events : 24.7906 (49%)
Surviving NC events : 1.174891 (2.0%)
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11. Effect of Adding numuid
• Increase CC events by 17% by adding numuid
• Increase NC events by 52%
– Still, only 2% of NC survives
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12. Conclusion
• We can reclaim ≈40% of numu events that fail ReMId if
they fail nueid and ncid
• Reclaim ≈50% of numu events if events fail nueid and
ncid, or numuid
– 3.6% of total events
• Appears muon energy measurement (CCE) isn’t best for
tracks with low ReMId value
– Calorimetric energy estimator may be best for these events
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