COSMOS2020: Identification of High-z Protocluster Candidates in COSMOS
Malte Brinch, Thomas R. Greve, John R. Weaver, Gabriel Brammer,, Olivier Ilbert, Marko Shuntov, Shuowen Jin, Daizhong Liu, Clara, Gim\'enez-Arteaga, Caitlin M. Casey, Iary Davidson, Seiji Fujimoto, Anton M., Koekemoer, Vasily Kokorev, Georgios Magdis, H. J. McCracken

TL;DR
This study identifies high-redshift protocluster candidates in the COSMOS field using overdensity analysis, revealing 15 significant candidates at $z \,\geq\,6$ with properties consistent with future galaxy clusters.
Contribution
It introduces a systematic method combining multiple density estimators to identify and characterize high-z protocluster candidates in the COSMOS2020 data.
Findings
Found 15 significant overdensities at $6\leq z \leq 7.7$
Estimated halo masses range from $10^{11}$ to $10^{13} M_{\odot}$
Candidates are expected to evolve into massive galaxy clusters by present day
Abstract
We conduct a systematic search for protocluster candidates at in the COSMOS field using the recently released COSMOS2020 source catalog. We select galaxies using a number of selection criteria to obtain a sample of galaxies that have a high probability of being inside a given redshift bin. We then apply overdensity analysis to the bins using two density estimators, a Weighted Adaptive Kernel Estimator and a Weighted Voronoi Tessellation Estimator. We have found 15 significant () candidate galaxy overdensities across the redshift range . The majority of the galaxies appear to be on the galaxy main sequence at their respective epochs. We use multiple stellar-mass-to-halo-mass conversion methods to obtain a range of dark matter halo mass estimates for the overdensities in the range of , at the respective redshifts of the…
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Taxonomy
TopicsNuclear Physics and Applications · Radioactivity and Radon Measurements · Methane Hydrates and Related Phenomena
