Title: Morphometric analysis in gamma-ray astronomy using Minkowski functionals: II. Joint structure quantification,
Abstract: We pursue a novel morphometric analysis to detect sources in very-high-energy
gamma-ray counts maps by structural deviations from the background noise.
Because the Minkowski functionals from integral geometry quantify the shape of
the counts map itself, the morphometric analysis includes unbiased structure
information without prior knowledge about the source. Their distribution
provides access to intricate geometric information about the background. We
combine techniques from stochastic geometry and statistical physics to
determine the joint distribution of all Minkowski functionals. We achieve an
accurate characterization of the background structure for large scan windows
(with up to $15\times15$ pixels), where the number of microstates varies over
up to 64 orders of magnitude. Moreover, in a detailed simulation study, we
confirm the statistical significance of features in the background noise and
discuss how to correct for trial effects. We also present a local correction of
detector effects that can considerably enhance the sensitivity of the analysis.
In the third paper of this series, we will use the here derived refined
structure characterization for a more sensitive data analysis that can detect
formerly undetected sources.