  We present a comparison of image and uv-plane galaxy-galaxy strong lensing
modelling results for simulated ALMA observations with different antenna
configurations and on-source integration times. Image-plane modelling is
carried out via use of the $\texttt{CLEAN}$ algorithm, and we explore the
effects of different visibility weighting schemes on the inferred lens model
parameters. We find that direct modelling of the visibility data consistently
outperforms image-plane modelling for both the naturally and Briggs-weighted
images. We also find that the modelling of images created with Briggs weighting
generally produces more accurate results than those obtained by modelling
images constructed with natural weighting. We explain this by quantifying the
suppression of information due to $\texttt{CLEAN}$ing on scales at which the
modelling is sensitive, and how this differs between Briggs and natural
weighting. At higher resolutions, the differences between the lens modelling
techniques are much less pronounced and overall, modelling errors are
significantly reduced. We also find that time-binning the visibilities by up to
a factor of three makes no significant difference to the inferred lens
parameters when directly modelling in the uv-plane. This work provides some
guidance on navigating the many choices faced when modelling strong lens
interferometric imaging data.
