The role of environment in galaxy evolution in the SERVS Survey I: density maps and cluster candidates
Nick Krefting, Anna Sajina, Mark Lacy, Kristina Nyland, Duncan Farrah,, Behnam Darvish, Steven Duivenvoorden, Ken Duncan, Violeta Gonzalez-Perez,, Claudia del P. Lagos, Seb Oliver, Raphael Shirley, Mattia Vaccari

TL;DR
This study constructs galaxy density maps from multi-band photometry in the XMM-LSS field, identifying large-scale structures and potential galaxy clusters across redshifts 0.1-1.5, and compares these with known X-ray clusters.
Contribution
It introduces a method to map galaxy densities and identify cluster candidates using photometric redshifts and multi-band data, revealing large-scale structures and new cluster candidates.
Findings
Identified 339 overdensities likely associated with massive dark matter haloes.
Recovered 43 of 70 known X-ray confirmed clusters.
Detected large-scale filaments and potential merging clusters.
Abstract
We use photometric redshifts derived from new -band through 4.5m Spitzer IRAC photometry in the 4.8\,deg of the XMM-LSS field to construct surface density maps in the redshift range 0.1-1.5. Our density maps show evidence for large-scale structure in the form of filaments spanning several tens of Mpc. Using these maps, we identify 339 overdensities that our simulated lightcone analysis suggests are likely associated with dark matter haloes with masses, , log(13.7. From this list of overdensities we recover 43 of 70 known X-ray detected and spectroscopically confirmed clusters. The missing X-ray clusters are largely at lower redshifts and lower masses than our target log(13.7. The bulk of the overdensities are compact, but a quarter show extended morphologies which include likely projection effects, clusters…
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