We evaluate numerically the velocity field distributions produced by a boun
ded, two-dimensional fluid model consisting of a collection of parallel ide
al line vortices. We sample at many spatial points inside a rigid circular
boundary. We focus on ''nearest-neighbor'' contributions that result from v
ortices that fall (randomly) very close to the spatial points where the vel
ocity is being sampled. We confirm that these events lead to a non-Gaussian
high-velocity "tail" on an otherwise Gaussian distribution function for th
e Eulerian velocity held. We also investigate the behavior of distributions
that do not have equilibrium mean-field probability distributions that are
uniform inside the circle, but instead correspond to both higher and lower
mean-field energies than those associated with the uniform vorticity distr
ibution. We find substantial differences between these and the uniform case
.