Galaxy clusters in simulations of the local Universe: a matter of constraints
Jenny G. Sorce, Elmo Tempel

TL;DR
This paper demonstrates that using less aggressive grouping schemes in local Universe simulations improves the accuracy of galaxy cluster reproductions, aligning simulated masses more closely with observations.
Contribution
It introduces a less aggressive grouping scheme combined with bias minimization to enhance the realism of simulated galaxy clusters in local Universe models.
Findings
Dark matter halo masses increased by 39% with the new scheme.
Simulacra are present in 89% of simulations, up from 84%.
Perseus cluster remains challenging due to limited data coverage.
Abstract
To study the full formation and evolution history of galaxy clusters and their population, high resolution simulations of the latter are flourishing. However comparing observed clusters to the simulated ones on a one-to-one basis to refine the models and theories down to the details is non trivial. The large variety of clusters limits the comparisons between observed and numerical clusters. Simulations resembling the local Universe down to the cluster scales permit pushing the limit. Simulated and observed clusters can be matched on a one-to-one basis for direct comparisons provided that clusters are well reproduced besides being in the proper large scale environment. Comparing random and local-Universe like simulations obtained with differently grouped observational catalogs of peculiar velocities, this paper shows that the grouping scheme used to remove non-linear motions in the…
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