English

Quantifying the Impact of Incompleteness on Identifying and Interpreting Galaxy Protocluster Populations with the TNG-Cluster Simulation

Astrophysics of Galaxies 2025-07-18 v2

Abstract

We use the TNG-Cluster simulation to investigate how stellar mass and star formation rate (SFR) incompleteness affect the identification of density peaks within galaxy protoclusters at different redshifts. Our analysis focuses on a sample of 352352 protoclusters, defined as the progenitor populations of galaxies that reside within the virialized region of z=0z=0 clusters with M200z=01014.315.5 MM_{\rm{200}}^{z=0}\sim10^{14.3-15.5}~{\rm M}_{\odot}. For comparison, we define our "baseline" protocluster population as galaxies with M>108.5 M{M}_{\star}> 10^{8.5}~{\rm M}_{\odot} at any redshift. We find that M{M}_{\star}-limited (M>109.5 M{M}_{\star} > 10^{9.5}~{\rm M}_{\odot}) and SFR-limited (SFR>10 Myr1\rm{SFR} > 10~{\rm M}_{\odot} \mathrm{yr}^{-1}) subpopulations recover the baseline highest galaxy density peak in roughly 60%\sim60\% of cases within an accuracy of 1.01.0 pMpc (corresponding to an angular scale of 22.5\sim 2-2.5 arcmin) at z>2z > 2. This recovery fraction drops to 4050%\sim40-50\% when restricting to galaxies with M>1010.0 M{M}_{\star} > 10^{10.0}~{\rm M}_{\odot}. We find that the baseline highest galaxy density peaks typically coincide with the highest dark matter and stellar mass density peaks, with separations less than 0.50.5 pMpc in 6075%\sim60-75\% of cases at z>2z>2. This agreement drops to 4550%\sim45-50\% when restricting to galaxies with M>1010.0 M{M}_{\star} > 10^{10.0}~{\rm M}_{\odot}. These results indicate that identifying the densest regions of protoclusters -- i.e., the core -- is highly sensitive to stellar mass and SFR completeness limits. Nevertheless, at z>2z>2 we find that the baseline highest galaxy density peaks are generally sites of enhanced star formation and accelerated mass growth relative to the remainder of the protocluster, consistent with some observational studies.

Keywords

Cite

@article{arxiv.2504.03836,
  title  = {Quantifying the Impact of Incompleteness on Identifying and Interpreting Galaxy Protocluster Populations with the TNG-Cluster Simulation},
  author = {Devontae C. Baxter and Alison L. Coil and Ethan O. Nadler and Dylan Nelson and Annalisa Pillepich and Ben Forrest and Finn Giddings and Emmet Golden-Marx and Brian C. Lemaux and Derek Sikorski},
  journal= {arXiv preprint arXiv:2504.03836},
  year   = {2025}
}

Comments

Key Figures: 3, 7, 9, and 13. The manuscript contains 28 pages and 14 figures. Submitted to ApJ (currently in review). Comments are welcome