A New Multi-Scale Structure Finding Algorithm to Identify Cosmological
  Structure
  We introduce a new self-consistent structure finding algorithm that parses
large scale cosmological structure into clusters, filaments and voids. This
structure finding algorithm probes the cosmological structure at multiple
scales and clas- sifies the appropriate regions with the most probable
structure type and size. We show that it reproduces key observational results,
including the baryon fraction of ICM, and average temperatures and densities
for the different structures.
