The two-dimensional distributions
of the photometric and astrometric observables were consistent with expectations for the four regions we have considered given their location on the sky (symmetric with respect to the Galactic plane and Galactic centre). Furthermore, we find these properties to be consistently similar between the pairs of patches that have similar numbers of observations/transits.
Our 3D and 4D clustering tests for subsets constructed using different filters showed that the data
which passed the DUPVISA and DUPMATA filters shows the smallest degree of
clustering. We also find that the data is more clustered for stars with
brighter magnitudes (BT11, ).
The degree of clustering in 4D (ra, dec + 2 observables), increases with respect to 2D (when considering the same 2 observables). This is likely a consequence of the known ‘gridding pattern on the sky’ seen, e.g., towards the LMC. However this systematic does not dominate over the intrinsic distribution of statistical errors in the observables, since for example the clustering for the brightest sample (which has the smallest errors on average) is always larger than for any other subsample.