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September 10, 2002
M. Fechner 1
Energy reconstruction in quasielastic events unfolding physics and detector effects
M. Fechner, Ecole Normale Supérieure
In collaboration with M. Campanelli
Supervised by A. Blondel
September 10, 2002
M. Fechner 2
Introduction • Study of low energy Super Beam + water Cherenkov detector •Quasi elastic events are dominant (< 1 GeV) and easier to reconstruct than DIS •But they require taking into account detector efficiency and nuclear physics effects (Fermi motion, Pauli blocking)• Most previous studies rely on counting the number of oscillated events
General unfolding method based on the Monte Carlo re weighting technique in order to recover spectral information
September 10, 2002
M. Fechner 3
Neutrino energy reconstruction
CC quasi elastic interactions: only the lepton can be observed (proton
below Cherenkov threshold) For a target nucleon at rest, neutrino
energy can be exactly reconstructed from lepton information only
pn
llln
lnpln
PEm
mmmEm
E cos
2
222
But in the presence of nuclear effects this does not work anymore
September 10, 2002
M. Fechner 4
Fast Monte Carlo simulation
Two body kinematics Center of mass lepton angle
distribution given by in Gaisser et al. (1986) Fermi momentum kF=225 MeV/c (nucleon momentum isotropic in
sphere of radius kF)
n p
kF
September 10, 2002
M. Fechner 5
Fast Monte Carlo simulation
Pauli blocking: outgoing proton momentum p > kF
Nuclear potential well: Standard SPL+UNO event rates
considered (baseline 130 km i.e. CERN->Fréjus). Detector resolution (from SuperK):
MeV 50 EE
• Angular resolution: ~3° (for e and )• Momentum resolution: (E)/E~3% (Ee)/Ee~ %5.0
E(GeV)%5.2
Energy reconstruction
Using the above formula for e and at low energy (< 1.5 GeV)
Ege
n
E rec
onst
ruct
e
d
e Perfectdetection
Detector resolutiononly
Nuclear effects only
All effects included
6
Results of the MC simulation
20% average resolution, 5% negative bias
Erec-Egen Resolution
e e
7
September 10, 2002
M. Fechner 8
Need for an unfolding method
disappearance
Using true energy
Using reconstructed energy
Oscillation dip invisible
Large water Cherenkov illuminated by SPL->Fréjus superbeam200 kTyear exposure
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M. Fechner 9
Fitting for oscillation parameters in presence of distorting effects
• Classical problem in HEP Solution: Monte Carlo reweighting (used previously e.g. at LEP for W mass fits)• Principle: Production of a large MC correspondence table between the real quantity (E
gen ) and the measured one (Erec )
and approximate each data event with the MC events sufficientlyclose to it• Since only one MC sample is produced, using a given set ofoscillation parameters, events are given a weight according tothe ratio of oscillation probabilities
),(),(),(
0 ENENE
),(.)(),(.)(),(
),(.)(),(.)(),(
EPEEEPEEEN
EPEEEPEEEN
eeeee
ee
September 10, 2002
M. Fechner 10
The box method 2 sets of data: ‘experimental’ sample (uses SPL spectra) MC sample For each data event: box around
measured value. All MC events inside the box are good approximations of the data and used in the likelihood
Box reweighting at workReconstructed distribution
MC events in the box
reconstructed
generated
Data event
Image of the box
weights
MC correspondence table
September 10, 2002
M. Fechner 12
Likelihood functionLikelihood function with 2 factors, one from the spectral shape (i.e. box method) and the other describing the Poisson probabilityfor the number of events
)())(log(
);(1)(log);(1log)(log
expectedexpected
10expected
1 1
NNN
iN
NiV
L
DATA
N
i MC
N
j
N
ij
MCDATA j
Where is the weight and is the oscillation param. set
Counting Spectral shape (box method)
September 10, 2002
M. Fechner 13
Comments on the results We have used binned data (20 MeV
wide bins): sum over bins rather than events
MC sample ~500 times larger than ‘exp.’ sample
The method is general and not limited to event reconstruction in water Cherenkov detectors
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M. Fechner 14
Fits to m232
Error ~1%
Good linearity and precisionover the whole relevant range
m12= 0 eV2
sin2223=1, sin2 213=0.05
September 10, 2002
M. Fechner 15
Fitting the atmospheric parameters
2D plots in the plane•‘Counting’ likelihood: large open contours due to correlations•‘Spectral’ likelihood: uses the reweighting method to extract the maximal amount of information from the spectrum
22323
2 ,2sin m
Plots
m23=2.5 10-3
m12=5.44 10-5
tan2 12=0.4
sin2223=0.95
sin2 213=0.02
=0
Using theparameters
Counting Spectral reconstruction
Error on m2 ~ 0.7 10-4 eV2
Error on sin22 ~ 2%
Counting+box
September 10, 2002
M. Fechner 17
Precision on 13
does not modify the energy spectrum (in 1rst approximation) information mostly contained in the number of events, so the reweighting does not improve the measurement of sin2213
sin2213sin2213
m2 23
m2 23
m23=2.5 10-3
m12=5.44 10-5
tan2 12=0.4
sin2223=0.95
sin2 213=0.02
=0
Counting only Counting + box
September 10, 2002
M. Fechner 18
Application to CP-violation• Same oscillation parameters in MC and ‘experience’• With neutrinos only and 200 kTyear, sin2213=0.02,
Need for antineutrinos !
m23=2.5 10-3
m12=5.44 10-5
tan2 12=0.4
sin2223=0.95
Counting onlyCounting+box
September 10, 2002
M. Fechner 20
CP-violation: using antineutrinos
•Neutrinos ‘exp.’ sample : 200 kTyear statistics sin22=0.02, •Antineutrino ‘exp.’sample : 1000 kTyear stats sin22=0.02, •MC sample: 600 times larger than ‘exp.’ with: sin22=0.04,
Likelihood computed with and
m23=2.5 10-3eV2
m12=5.44 10-5eV2
tan2 12=0.4
sin2223=0.95
ee
September 10, 2002
M. Fechner 21
antineutrinos neutrinos
If the box method is not used:
With the reweighting method:
Error on is ~3 times worse
Counting only
~120°
~35°
Counting+Box
Counting+Box
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M. Fechner 22
Conclusion Spectral information is essential in a Super Beam
experiment Distortion due to detector and nuclear effects is large Necessity of using adequate unfolding technique to
recover spectral information MC reweighting method is very general and can
unfold any effect provided they are described correctly in the MC
Very good precision on main oscillation parameters. Significant improvements in the CP violation sector.