ND Flux Normalization - PowerPoint PPT Presentation

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ND Flux Normalization

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Fiducial: 'Pitt' (molded to ND shape) 0.6 Z 3.56m, 0.3 U ... Denominator: CC events reconstructed in fiducial volume. 0-20 GeV. 10-20 GeV. Selected Sample: MC ... – PowerPoint PPT presentation

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Title: ND Flux Normalization


1
ND Flux Normalization
  • Mike Kordosky
  • UCL
  • Oct 13, 2005

2
Outline
  • Measure CC flux in near detector
  • One idea using two samples
  • Flux shape QE sample 0ltElt20 GeV
  • Flux normalization total-CC 10ltElt20 GeV
  • QE sample flux shape M. Dorman
  • Normalization
  • Know generated flux
  • NEUGEN provides cross section estimate
  • interpret data/mc ratio as flux correction

3
X-section reminder
shape
normalization
  • Shape of QE x-section reasonably well constrained
  • s varies by 10 from 1-10 GeV
  • Total CC x-section well measured above 30 GeV and
    on Fe
  • constrains 10-20 GeV region

sCC/E
neutrino energy (GeV)
4
Data and MC samples
  • Batch processed with R1.18
  • Thanks batch processing and MC groups!
  • LE-10 MC
  • 239 files, 98188 snarls, 0.236e19 POT
  • LE-10 data
  • runs span 7860-8200, 8300-8432
  • 2.428e19 POT (TORTGT) after beam quality cuts
  • 10 times MC sample

5
Event Selection
  • Fiducial Pitt (molded to ND shape)
  • 0.6ltZlt3.56m, 0.3ltUlt1.8m, -1.8ltVlt-0.3m, Xgt2.4m,
    Rgt0.8m
  • Track quality
  • trk.fit.pass, chi2/ndflt20, U-V z-vertex lt 6
  • Fit quality s(q/p)/(q/p) lt0.3
  • Dave Petyt CC PID gt-0.4
  • Cut on charge sign to select n

6
CC PDFs
reconstruction independent
7
Efficiency
10-20 GeV
0-20 GeV
  • track quality 89.9 (90.1)
  • fit quality 85.0 (82.6)
  • cc PID 66.6 (66.5)
  • charge 62.9 (64.5)

Denominator CC events reconstructed in fiducial
volume
8
Selected Sample MC
10-20 GeV
0-20 GeV
  • events 18517 (2995)
  • QE 18.7 (6.9)
  • RES 27.7 (13.2)
  • DIS 48.4 (75.7)
  • NC 4.6 (3.0)
  • nu-bar 0.4 (1.0)

Shower Energy Linear pulse-height scale
9
Selected Sample Data
Tricky region RES/DIS overlap Focusing Edge
Z. Pavlovic
10
10-20 GeV region
data/mc 1.01 /- 0.02 10ltElt20 GeV
11
y-distribution
  • reco y Ehad / En
  • data/mc presented before was with no cut on y
  • But, know QE sample concentrated at low-y
  • NC bkgd. at high-y and doesn't represent flux

MC
12
y-distribution
  • reco y Ehad / En
  • data/mc presented before was with no cut on y
  • But, know QE sample concentrated at low-y and NC
    bkgd. at high-y.
  • Accept 0.2 lt y lt 7.5
  • Sample 93.4 DIS

data/mc 1.01 /- 0.03 10ltElt20 GeV
13
DIS sample
  • DIS sample (J. Morfin)
  • Wgt2 , Qgt1 GeV
  • 53.4 of original CC sample
  • QE 0.7 (0.4)
  • RES 4.7 (2.2)
  • DIS 89.3 (92.4)
  • NC 4.5 (3.9)
  • nu-bar 0.6 (0.7)

0-20 GeV
10-20 GeV
data/mc 1.08 /- 0.03 10ltElt20 GeV
14
DIS sample y-distribution
  • 10 lt E lt 20 GeV
  • reco y Ehad / En
  • data/mc presented before was with no cut on y
  • But, know QE sample concentrated at low-y
  • NC bkgd. at high-y and doesn't represent flux

MC
15
DIS sample y-distribution
  • 10 lt E lt 20 GeV
  • reco y Ehad / En
  • data/mc presented before was with no cut on y
  • But, know QE sample concentrated at low-y
  • NC bkgd. at high-y and doesn't represent flux

data/mc 1.06 /- 0.03 10ltElt20 GeV
16
Conclusions
  • Working toward measurement of absolute flux
  • QE events shape
  • CC events 10-20 GeV normalization
  • Have measured the normalization ratio from 10-20
    GeV based on 2.43e19 POT in the LE-10 beam
  • From inclusive CC sample
  • data/mc 1.01 /- 0.02
  • data/mc 1.01 /- 0.03 ( y selection to remove
    NC)
  • From DIS sample (Wgt2, Qgt1)
  • data/mc 1.08 /- 0.03
  • data/mc 1.06 /- 0.03 (y selection to remove NC)

17
Conclusions
  • From inclusive CC sample
  • data/mc 1.01 /- 0.02
  • data/mc 1.01 /- 0.03 ( y selection to remove
    NC)
  • From DIS sample (Wgt2, Qgt1 GeV)
  • data/mc 1.08 /- 0.03
  • data/mc 1.06 /- 0.03 (y selection to remove
    NC)
  • Errors are statistical, dominated by size of MC
    sample
  • No accound for x-section errors... NuValidator
    fitting?
  • Assuming MC efficiency, resolution, backgrounds
    accurate
  • closer study needed
  • some evidence (y distribution) for decent
    agreement of backgrounds
  • Unfold to estimate true energy distribution?
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