THE SPLASHBACK RADIUS AS A PHYSICAL HALO BOUNDARY AND THE GROWTH OF HALO MASS
By S. More, B. Diemer, Andrey V. Kravtsov. 2015
179 citations recorded by the source corpus.
The boundaries of cold dark matter halos are commonly defined to enclose a density contrast Δ relative to a reference (mean or critical) density. We argue that a more physical halo boundary choice is the radius at which accreted matter reaches its first orbital apocenter after turnaround. This splashback radius, R sp ?> , manifests itself as a sharp density drop in the halo outskirts, at a location that depends upon the mass accretion rate. We present calibrations of R sp ?> and the enclosed mass, M sp ?> , as a function of mass accretion rate and peak height. We find that R sp ?> is in the range ≈ 0.8 – 1 R 200 m ?> for rapidly accreting halos and is ≈ 1.5 R 200 m ?> for slowly accreting halos. Thus, halos and their environmental effects can extend well beyond the conventionally defined “virial” radius. We show that M sp ?> and R sp ?> evolve relatively strongly compared to other commonly used definitions. In particular, M sp ?> evolves significantly even for the smallest dwarf-sized halos at z = 0. We also contrast M sp ?> with the mass enclosed within four scale radii of the halo density profile, M < 4 r s ?> , which characterizes the inner halo. During the early stages of halo assembly, M sp ?> and M < 4 r s ?> evolve similarly, but in the late stages M < 4 r s ?> stops increasing while M sp ?> continues to grow significantly. This illustrates that halos at low z can have “quiet” interiors while continuing to accrete mass in their outskirts. We discuss potential observational estimates of the splashback radius and show that it may already have been detected in galaxy clusters.
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Citations in the corpus
- COLOSSUS: A Python Toolkit for Cosmology, Large-scale Structure, and Dark Matter Halos (2017, methodology): “…any mass, redshift, or cosmology Halo: Splashback radius adhikari14 Adhikari et al. 2014 Semi-analytical model, Rsp and Msp as a function of (Γ, z) more15 More et al. 2015 Numerical calibration, Rsp and Msp as a function of (Γ, z) or (M, z) shi16 Shi 2016 Semi-analytical model, Rsp and Msp as a…”