The sparkling Universe: Clustering of voids and void clumps

Understand

We analyse the clustering of cosmic voids using a numerical simulation and the main galaxy sample from the Sloan Digital Sky Survey.

• We take into account the classification of voids into two types that resemble different evolutionary modes: those with a rising integrated density profile (void-in-void mode, or R-type) and voids with shells (void-in-cloud mode, or S-type).
• The results show that voids of the same type have stronger clustering than the full sample.
• We use the correlation analysis to define void clumps, associations with at least two voids separated by a distance of at most the mean void separation.