Estimating the Masses of Supercluster-Scale Filaments from Redshift Dispersions
Mary Crone Odekon, Trevor W. Viscardi, Jake Rabinowitz, Brandon Young

TL;DR
This paper develops a method to estimate the mass per unit length of supercluster filaments from redshift dispersions using mock surveys, accounting for complex galaxy dynamics and demonstrating robustness across distances.
Contribution
It introduces a new approach to predict filament mass from redshift data, considering dynamical complexities and validating with simulations.
Findings
Successful prediction of log(mu) from log(sigma) with ~0.20 dex scatter
Method is robust to distance changes if segment length and galaxy magnitude are fixed
Galaxy dynamics are influenced by infall and group/cluster orbits, not relaxed motion
Abstract
We present a strategy for estimating the mass per unit length along supercluster-scale filaments that are oriented across the sky, based on mock redshift surveys of 264 filaments from the Millennium simulation. In our fiducial scenario, we place each simulated filament at a distance of 300 Mpc, perpendicular to the line of sight, and calculate the redshift dispersion using galaxies with magnitudes r<19.5. Some regions are dynamically complicated in ways that interfere with finding a simple relationship between dispersion sigma and linear mass density mu. However, by examining individual overlapping segments along the filaments, we find a relationship that allows us to successfully predict log(mu) from log(sigma) with a scatter of about +/- 0.20 dex, for ~ 70% of the regions along filaments. This relationship is robust to changes in the distance to the filament if the physical segment…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Scientific Research and Discoveries
