Morpho-statistical characterisation of the spatial galaxy distribution
  through Gibbs point processes
  This paper proposes a morpho-statistical characterisation of the galaxy
distribution through spatial statistical modelling based on inhomogeneous Gibbs
point processes. The galaxy distribution is supposed to exhibit two components.
The first one is related to the major geometrical features exhibited by the
observed galaxy field, here, its corresponding filamentary pattern. The second
one is related to the interactions exhibited by the galaxies. Gibbs point
processes are statistical models able to integrate these two aspects in a
probability density, controlled by some parameters. Several such models are
fitted to real observational data via the ABC Shadow algorithm. This algorithm
provides simultaneous parameter estimation and posterior based inference, hence
allowing the derivation of the statistical significance of the obtained
results.
