Can We Detect the Color-Density Relation with Photometric Redshifts?
Chuan-Chin Lai, Lihwai Lin, Hung-Yu Jian, Tzi-Hong Chiueh, Alex, Merson, Carlton Baugh, Sebastien Foucaud, Chin-Wei Chen, and Wen-Ping Chen

TL;DR
This study assesses the feasibility of measuring galaxy environment and the color-density relation using photometric redshift data, optimizing methods to maintain accuracy despite photo-z uncertainties up to 0.06.
Contribution
The paper introduces an optimized approach for 2D projected density measurements that reliably correlates with 3D environments using photometric redshifts, enabling studies of galaxy properties at higher redshifts.
Findings
Optimized parameters improve density measurement accuracy with photo-z data.
Color-density relation detectable up to z ~ 0.8 with photo-z uncertainties of 0.06.
Deep photometric surveys can match spectroscopic density measurements at higher redshifts.
Abstract
A variety of methods have been proposed to define and to quantify galaxy environments. While these techniques work well in general with spectroscopic redshift samples, their application to photometric redshift surveys remains uncertain. To investigate whether galaxy environments can be robustly measured with photo-z samples, we quantify how the density measured with the nearest neighbor approach is affected by photo-z uncertainties by using the Durham mock galaxy catalogs in which the 3D real-space environments and the properties of galaxies are exactly known. Furthermore, we present an optimization scheme in the choice of parameters used in the 2D projected measurements which yield the tightest correlation with respect to the 3D real-space environments. By adopting the optimized parameters in the density measurements, we show that the correlation between the 2D projected optimized…
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