Detecting clusters and groups of galaxies populating the local Universe in large optical spectroscopic surveys
I. Marini, P. Popesso, K. Dolag, M. Bravo, A. Robotham, E. Tempel, Q., Li, X. Yang, B. Csizi, P. Behroozi, V. Biffi, A. Biviano, G. Lamer, N., Malavasi, D. Mazengo, and V. Toptun

TL;DR
This study evaluates the accuracy and systematics of three galaxy group detection methods using simulated data, confirming their reliability for large spectroscopic surveys and improving understanding of galaxy cluster properties.
Contribution
It provides a comprehensive assessment of three group finders' performance on simulated datasets, highlighting their strengths and limitations in identifying galaxy groups in large surveys.
Findings
High completeness (>80%) at group and cluster scales.
Contamination mainly from interlopers at low masses.
Membership accuracy above 70% for massive groups.
Abstract
Wide-field cosmological surveys provide hundreds of thousands of spectroscopically confirmed galaxy groups and clusters, valuable for tracing baryonic matter distribution. However, controlling systematics in identifying host dark matter halos and estimating their properties is crucial. We evaluate three group detection methods on a simulated dataset replicating the GAMA selection to understand systematics and selection effects. This is key for interpreting data from SDSS, GAMA, DESI, WAVES, and leveraging optical catalogues in the (X-ray) eROSITA era to quantify baryonic mass in galaxy groups. Using a lightcone from the Magneticum hydrodynamical simulation, we simulate a spectroscopic galaxy survey in the local Universe (down to and stellar mass completeness ). We assess completeness and contamination of reconstructed halo catalogues, evaluate…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Astronomical Observations and Instrumentation · History and Developments in Astronomy
