We have demonstrated scaling in our lattice data over the entire range of q2 considered, and will now proceed with model fits. The following functional forms have been considered:
Gribov[3]
Stingl[4] Marenzoni[5] Cornwall[6] Model A Model B Model C where D(q2)
M(q2) = M![]() ![]() ![]() ![]() |
We have also considered the models A and B, which are constructed from models A and B by setting MUV = MIR. Gribov's and Stingl's models (5) and (6) are modified in order to exhibit the asymptotic behaviour of (2). Models A and B are constructed as generalisations of (7) with the correct dimension and asymptotic behaviour.
All models are fitted to the large lattice data using the cylindrical
cut defined in [1,7]. The lowest momentum value was
excluded, as the volume dependence of this point could not be
assessed. In order to balance the sensitivity of the fit between the
high- and low-momentum region, nearby data points within
(qa) < 0.05 were averaged.
The
per degree of freedom and parameter values for fits to all
these models are shown in table 1. It is clear
that model B accounts for the data better than any of the
other models. The best fit to this model is illustrated in
fig. 2.
![]() |
![]() |