The way that GOPAL [90] simulates the detector so that the Monte Carlo can be compared directly to the data is an integral part of the analysis. It is very difficult to measure this as any differences between the data and Monte Carlo could be due to physical effects, such as anomalous TGCs, rather than poor modelling of the detector.
The most important part of detecting a
event is identification of the
lepton. Parameters of the lepton which are less sensitive to the TGC value
must be compared. For the lepton, the polar angle in the lab frame,
, and the lepton energy are chosen. A comparison using these
two variables between the
data and fully simulated Monte Carlo are made, and then lines are fitted to
the distributions. These lines are used to weight the Monte Carlo.
Then a comparison
between the SDM elements and
distributions, for the TGC fit, and the
helicity proportions for the helicity studies, before and after the
weighting is made. As this test is limited by statistics and also TGC
dependent, no correction is made to the overall result. However, a systematic
uncertainty is assigned due to each of the tests.
For the SDM elements and
these can
be seen in tables 10.5 and 10.6.
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The overall uncertainty due to the lepton identification on the helicity
proportions is shown in
table 10.9. However, for the calculation of the helicity
fractions, a further systematic uncertainty is assigned due to the detector simulation. In correcting for detector effects Standard Model Monte Carlo is
used, however this could cause a bias towards the Standard Model. This is
tested by comparing the calculated helicity fractions for non-Standard Model
samples of Monte Carlo at generator level, to those from the same sample
after full detector simulation and detector
correction. Samples with anomalous couplings,
,
, and
set at
1 are used. The largest variation from the six tests is taken as the
systematic uncertainty. These are shown in table 10.9.
Uncertainties on the measured lepton energy are estimated to be less than 0.3%. Any effects this would have are tested by shifting the lepton energy by this amount. In all cases this is found to have a negligible effect.
Differences in the charge misassignment between the Monte Carlo and data could
have a significant effect on all the results, especially as the wrong value
of
is assigned when the charge is incorrectly identified. Misidentification most commonly occurs in the higher momentum leptons where there is little bending of the lepton track in the magnetic field. A test of the effect was
performed by randomly doubling the amount of expected misassigned charges in
a large Monte Carlo sample from 0.8% to 1.5%. The effect this
had was found to be small.
Any charge misassignment can also cause a problem in the measured lepton
momentum. This was accounted for by varying the resolution in Q/p by
10% in the Monte Carlo. Where Q is the lepton charge and p
is the
transverse momentum of the lepton. Differences before and after the change are taken as the systematic uncertainty. The uncertainties for the TGC fit can be seen in table 10.7 and the uncertainties on the
measured helicity fractions are shown in table 10.9.
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