K2K oscillation analysis using the spectrum information.
The oscillation analysis using the spectrum information of SK, ND and PIMON
was performed on the K2K experiment. The basic strategy of the analysis is that
we compare total number of events and spectrum shape that were observed at SK
and their expectation based on near detector system. Several new progress have
been made. The change from the last collaboration meeting are listed below.
1. The flux at near detector site
a) KT spectrum fit method has not been
changed from last collaboration meeting.
b) SciFi spectrum fit has changed
by handling the threshold and the energy scale uncertainties.
c) KT
and SciFi data are merged to be fitted simultaneously to measure the spectrum
and the nonQE/QE ratio.
d) observed harder Q^2 distribution in both KT and
SciFi data can be explained by changing neutrino interaction model. The
phenomenologically tuned MC is characterized by
QE
: MA=1.01 -> 1.11
1pi : MA=1.01 -> 1.21
coherent
pi model by Marteau
multi-pi : (pre-)scaling variable hep-ex/0203009
NOTE
THE EFFECT TO THE OSCILLATION ANALYSIS IS VERY SMALL BY CHANGE OF MODEL.
The
best fit result with merged fit with 'tuned' NEUT is
f=ratio of fitted flux/MC
chi2=227
for 197 dof
f(Enu<500) = 1.3+-0.5
f(500<Enu<750) = 1.02+-0.12
f(750<Enu<1000)
= 1.01+-0.09
f(1000<Enu<1500) = 1 (fixed)
f(1500<Enu<2000)
= 0.95+-0.07
f(2000<Enu<2500) = 0.96+-0.08
f(2500<Enu<3000)
= 1.18+-0.19
f(3000<Enu) = 1.07+-0.20
nonQE/QE= 0.93+-0.20 This
error of 0.20 is assigned based on the disagreement of SciFi and KT results.
Comment:
This tuning is still preliminary and need more work of study interaction model.
BUT again oscillation analysis with various parameters (MA(QE)=1.01-1.11, MA(1PI)=1.01-1.5,
structure function GRV94-modified GRV94) showed very small difference.
2.SK oscillation analysis
We performed the oscillation analysis by dlogL
method, using SK data and the error matrix estimated by ND, PIMON and MC. The
likelihood has been calculated by two methods. One is that log likelihood
with additional systematic terms. Systematic error parametes are adjusted to
mixmize entire log likelihood at each (dm^2, sin^22th) to find the best fit.
This method was used in CDF (Phys. Rev. D61, 072005 (2000) 11) etc. The oscillation
analysis on SK atm/pd is not maximum likelihood mathod but bined-chi^2 method
with similar treatment of systematic term. The other method is based on MC generation
of L; the systematic parameters are generated numerically around the mean values
according to the error matrix. The mean was assign as L at that (dm^2, sin^22th)
(Nucl. Instrum. Meth. A411:153-158, 1998) This method was used in L3 etc. Since
there is no a priori reason which is right, we chose to present both methods
to outside. On both analysis, the data disagree with the MC expectation
w/o the neutrino oscillation. The oscillated reproduce data well.
Goodness
of fit for best (obtained by KS-test for 1-ring mu-like reconstructed
Enu) are as follows,
analysis
1 analysis 2
#
of event 82%
shape
79%
93%
#
+ shape 50%
The
null oscillation probability for each analysis are as follows,
analysis
1 analysis
2
# of events 1.3% 0.7%
shape
15.7% (1.0
,3.0E-3) 14.3% (1.0 ,3.16E-3) (physical)
(1.09,3.0E-3)
(1.05,3.16E-3) (unphysical)
#
+ shape 0.7% (1.0 ,2.8E-3)
0.4% (1.0 ,2.66E-3)
(1.03,2.8E-3)
(1.05,2.66E-3)
where,
null oscillation probability is calclated from the difference of log likelihood
from the best fit point. The main improvement of the sensitivity for # of events
analysis comes from the improvement of Far/Near ratio and the spectrum by the
study on the correlation and so on. From this table, The null oscillation probability
is less than 1%.
The allowed region are obtained by both analysis. Both #
of events analysis and shape analysis are consistent with SK atmospheric neutrino
oscillation results. Again, results of both analysis (1 and 2) agree well.
Quick summary of official statement
(1) null oscillation probability
"less
than 1%"
(2) Best fit point
"(sin^22th,
Dm^2)=(1.0,2.7E-3)
Link for each analysis
KT spectrum study
SciFi
spectrum study
merged study
oscillation
analysis by T.Kobayashi
oscillation analysis
by C.Walter