numu Kirk Bays Samples 4 samples CONTAINED QE
numu Kirk Bays
Samples • 4 samples: – CONTAINED • QE • non. QE CC – UNCONTAINED • lepton exits detector • lepton fully contained
basic info • • S 12. 06. 17 FD MC Genie files (unswapped) 720, 000 events (2 E 23 POT) No rock events Oscillation assumptions: – 810 km – deltam 23^2 = 2. 35 E-3 – sin^2(2 theta 13) = 0. 1 – sin^2(2 theta 23) = 1 3
new variables • nick’s pid • susan’s E • best track (track with highest nick PID) used instead of longest track for lepton • still using: – Eremain = total Cal E – Cal E of tracks
• after oscillation equivalent of 400, 000 events: – 41% NC – 7% QE – 52% non. QE CC • Contained (all hits in FV): 191, 000 events – 57% NC/ 7% QE /36% non. QE CC • Uncontained: 209, 000 events – sample 1: lepton leaves detector (134, 000) • 13% NC/ 9% QE/ 78% non. QE CC – sample 2: lepton fully contained (75, 000) • 50% NC/ 3% QE/ 47% non. QE CC
QE • subdivide QE: – events with one (Kalman) track(51% contained QE) – events with two (Kalman) tracks: • where the 2 nd track is a 2 D track (22% of contained QE) • where the 2 nd track is a 3 D track (7% of contained QE)
single track QE: • • • n. Tracks=1 nick PID > 0. 4 best. Track. Length > 220 cm Eremain < 0. 035 (~70 Me. V) pe near vertex < 1200 final sample: 2% NC / 90% QE / 8% non. QE CC QE efficiency: ~40%
true before any cuts calo Ge. V after QE cuts true calo
1 3 D track 1 2 D track QE: • • • n. Tracks = 2 nick PID > 0. 4 best track length > 220 cm d. E/dx of short track < 0. 0012 -0. 008*Eremain d. E/dx long track < 0. 0012 final sample: 1. 5% NC / 81% QE / 17. 5% non. QE CC QE efficiency: 8%
Contained: general CC • nicks PID > 0. 5 • best track length > 250 • Events aren’t in contained QE sample final sample: 7. 5% NC / 15. 5% QE / 77% non. QE CC QE efficiency: 64% non. QE CC eff: 65%
true before any cuts calo Ge. V after CC cuts true calo
uncontained: sample 1 (!FC mu) • • • longest track end outside FV best Track Length > 220 cm nick PID > 0. 44 50 < Z < 5000 abs(x, y) < 650 cm final sample: . 5%NC / 9%QE / 90. 5% non. QE CC QE eff: 36% / non. QE eff: 42%
elastic arms starting point of longest track vertex resolution
full: 28. 7% after NC reduc: 26. 1% after vtx reduc: 21. 7%
true calo uncut uncontained sample 1 (longest track end outside FV applied) uncontained sample 1 after cuts calo true
uncontained: sample 2 (FC mu) • • • longest track end inside FV best track length > 220 cm nick PID > 0. 44 0 < Z < 6000 abs(x, y) < 700 cm final sample: 5% NC / 4% QE / 91% non. QE CC QE eff: 19% / non. QE CC eff: 34%
all: 35% after NC reduc: 19% after vtx: 17. 6%
calo true uncontained sample 2 (longest track end inside FV applied) uncontained sample 2 after cuts true calo
E res: • Probably want different E estimator for each sample • Right now I look at 3 – – total cal (which varying prefactor) – susan’s E estimator – crude estimator involving range • (form: A*range + B*remaining Cal E, where B is same prefactor that centers total Cal, and A is whatever centers around 0)
Eres: contained QE cal susan range? susan’s worst?
Eres: contained CC cal susan tie between Susan and cal range
E res: uncontained S 1 cal susan’s slightly better
E res: uncontained S 2 cal susan range susan’s wins
contours by sample
CC and !QE 1 track QE try 1 assumption: sin^2(2 theta 23) = 0. 99 uncont S 1 uncon S 2
CC and !QE 1 track QE try 2 assumption: sin^2(2 theta 23) = 0. 99 uncont S 1 uncon S 2
- Slides: 28