Introducing a new, robust galaxy finder algorithm for simulations
Rodrigo Ca\~nas, Pascal J. Elahi, Charlotte Welker, Claudia del P., Lagos, Chris Power, Yohan Dubois, Christophe Pichon

TL;DR
This paper introduces a new phase-space based galaxy finder algorithm for simulations, improving the robustness and accuracy of galaxy identification especially in dense regions, and compares it with existing methods.
Contribution
A novel scale-free, shape-independent galaxy finder algorithm using phase-space dispersion tensors, implemented in VELOCIraptor, enhancing structure detection in simulations.
Findings
Improved galaxy property measurements in dense environments.
Systematic differences in galaxy properties compared to real-space finders.
Overall statistical distributions remain consistent despite individual discrepancies.
Abstract
Identifying galaxies in hydrodynamical simulations is a difficult task, particularly in regions of high density such as galaxy groups and clusters. We present a new scale-free shape-independent algorithm to robustly and accurately identify galaxies in simulation, implemented within the phase-space halo-finder code VELOCIraptor. This is achieved by using the full phase-space dispersion tensor for particle assignment and an iterative adjustment of search parameters, which help us overcome common structure finding problems. We apply our improved method to the Horizon-AGN simulation and compare galaxy stellar masses (), star formation rates (SFR) and sizes with the elaborate configuration-space halo finder, HaloMaker. Galaxies living in halos with galaxy are the most affected by the shortcomings of real-space finders, with their mass, SFR, and sizes being times larger…
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