The Astrophysical Journal (Jan 2024)

The Velocity Dispersion Function for Quiescent Galaxies in Massive Clusters from IllustrisTNG

  • Jubee Sohn,
  • Margaret J. Geller,
  • Josh Borrow,
  • Mark Vogelsberger

DOI
https://doi.org/10.3847/1538-4357/ad74fa
Journal volume & issue
Vol. 974, no. 1
p. 26

Abstract

Read online

We derive the central stellar velocity dispersion function (VDF) for quiescent galaxies in 280 massive clusters with $\mathrm{log}({M}_{200}/{M}_{\odot })\gt 14$ in IllustrisTNG300. The VDF is an independent tracer of the dark matter mass distribution of subhalos in galaxy clusters. Based on the IllustrisTNG cluster catalog, we select quiescent member subhalos with a specific star formation rate <2 × 10 ^−11 yr ^−1 and stellar mass $\mathrm{log}({M}_{* }/{M}_{\odot })\gt 9$ . We then simulate fiber spectroscopy to measure the stellar velocity dispersion of the simulated galaxies; we compute the line-of-sight velocity dispersions of star particles within a cylindrical volume that penetrates the core of each subhalo. We construct the VDFs for quiescent subhalos within R _200 . The simulated cluster VDF exceeds the simulated field VDF for $\mathrm{log}{\sigma }_{* }\gt 2.2$ , indicating the preferential formation of large velocity dispersion galaxies in dense environments. The excess is similar in simulations and in the observations. We also compare the simulated VDF for the three most massive clusters with $\mathrm{log}({M}_{200}/{M}_{\odot })\gt 15$ with the observed VDF for the two most massive clusters in the local Universe, Coma and A2029. Intriguingly, the simulated VDFs are significantly lower for $\mathrm{log}{\sigma }_{* }\gt 2.0$ . This discrepancy results from (1) a smaller number of subhalos with $\mathrm{log}({M}_{* }/{M}_{\odot })\gt 10$ in TNG300 compared to the observed clusters, and (2) a significant offset between the observed and simulated M _* – σ _* relations. The consistency in the overall shape of the observed and simulated VDFs offers a unique window into galaxy and structure formation in simulations.

Keywords