The Multiscale Morphology Filter: Identifying and Extracting Spatial Patterns in the Galaxy Distribution

TL;DR

The paper introduces MMF, a scale-independent method for automatically identifying and extracting cosmic structures like clusters, filaments, and walls from galaxy data or simulations, without prior assumptions about their size or shape.

Contribution

The paper presents a novel multiscale morphology filter (MMF) that automatically segments cosmic structures without bias towards their scale or shape.

Findings

Effective segmentation of cosmic structures in galaxy surveys.

No prior assumptions needed about structure size or shape.

Applicable to both observational data and simulations.

Abstract

We present here a new method, MMF, for automatically segmenting cosmic structure into its basic components: clusters, filaments, and walls. Importantly, the segmentation is scale independent, so all structures are identified without prejudice as to their size or shape. The method is ideally suited for extracting catalogues of clusters, walls, and filaments from samples of galaxies in redshift surveys or from particles in cosmological N-body simulations: it makes no prior assumptions about the scale or shape of the structures.}