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) ZDr(q2) andM(q2) = Mln/ln |
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.