As mentioned in section 6.4 the total cross section
for
hadrons can be extrapolated to
Q2 = 0 if
W2 > > Qi2. This is very useful when
results from different experiments shall be compared. There are a
number of different models to choose from, in this analysis the
generalized vector meson dominance model (GVMD) was used. As seen
from Fig. 8.5 this describe VSAT data well, but in
the STIC Q2 region it seems to be a bit low.
![]() |
The data points in Fig. 8.5 were obtained in the W
interval from 15 to 60 GeV and clearly there is a logarithmic fall
of
(W
2, Q12, Q22). The
first VSAT datapoint at a Q2 of 0.09 is somewhat low, this can
probably be explained by some efficiency loss in the inner edge of
the detector. From
the VSAT region (Q2 < 1 GeV) it is possible to factorize
and obtain
(W2)
at Q2 = 0. This was done for four different W intervals with
equal statistics and is presented in Fig. 8.6.
|
In each bin about 35 events were collected, limiting the statistical errors to about 17%. There are some systematic errors coming from the luminosity function calculation and the extrapolation of the data to Q2 = 0. The uncertainty in the remaining background and some errors in Q2 and W also add up to the systematical error. These are all less than 5% and are small in comparison to the statistical error. All this result in an total (systematical and statistical) error of about 20%.
The data points from OPAL [38] and L3 [39] in
Fig. 8.6 were obtained by unfolding notag data with either
PYTHIA or PHOJET. It is clear that VSAT data clearly favor the
results obtained by PYTHIA. The two curves in Fig. 8.6
are two Regge parameterizations with different value of
. In the Regge theory [40] the total cross section
of any hadronic process can be parameterized as:
The coefficients A and B are process and Q2 dependent, whereas
the values of and
are assumed to be universal
(0.093 and 0.358 respectively) [41]. If photons
predominantly behave like hadrons the Regge parameterization also
may be valid for the total hadronic
cross section.
In Fig. 8.6
was fixed to 0.358 for both curves,
whereas
was both fitted to PYTHIA data and fixed to 0.093.
In an analysis performed by the L3 collaboration a value of
=0.21 gives the best fit to data (for both unfolding
with PHOJET and PYTHIA) and the universal value of
=0.093
do not describe the W dependence correctly.