Galaxy pairs in The Three Hundred simulations: a study on the performance of observational pair-finding techniques
Ana Contreras-Santos, Alexander Knebe, Weiguang Cui, Roan Haggar,, Frazer Pearce, Meghan Gray, Marco De Petris, Gustavo Yepes

TL;DR
This study evaluates how observational techniques for identifying galaxy pairs in simulations are affected by projection effects and proposes property-based criteria to improve the selection of physically close pairs.
Contribution
It demonstrates the impact of projection effects on pair identification and introduces property-based criteria to enhance the accuracy of observational pair-finding methods.
Findings
Good pairs constitute 30-60% of identified pairs depending on thresholds.
Certain galaxy properties can increase the likelihood of identifying true pairs.
Property-based criteria can significantly improve pair selection accuracy.
Abstract
Close pairs of galaxies have been broadly studied in the literature as a way to understand galaxy interactions and mergers. In observations they are usually defined by setting a maximum separation in the sky and in velocity along the line of sight, and finding galaxies within these ranges. However, when observing the sky, projection effects can affect the results, by creating spurious pairs that are not close in physical distance. In this work we mimic these observational techniques to find pairs in The Three Hundred simulations of clusters of galaxies. The galaxies' 3D coordinates are projected into 2D, with Hubble flow included for their line-of-sight velocities. The pairs found are classified into "good" or "bad" depending on whether their 3D separations are within the 2D spatial limit or not. We find that the fraction of good pairs can be between 30 and 60 per cent depending on the…
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