  Sampling string flux vacua enables us to study structures in the string
landscape. Here we demonstrate that sampling at large number of moduli is
possible for the simplified landscape model of ADK. Using dimensional
reduction, we identify analytic structures in these samples. In this example,
we find that these structures are rather insensitive to the underlying
distribution of UV parameters but they emerge only at large number of moduli
and they can be attributed to sampling bias.

High Energy Physics - Theory;High Energy Physics - Phenomenology