Structure Finding in Cosmological Simulations: The State of Affairs
Alexander Knebe, Frazer R. Pearce, Hanni Lux, Yago Ascasibar, Peter, Behroozi, Javier Casado, Christine Corbett Moran, Juerg Diemand, Klaus Dolag,, Rosa Dominguez-Tenreiro, Pascal Elahi, Bridget Falck, Stefan Gottloeber,, Jiaxin Han, Anatoly Klypin, Zarija Lukic

TL;DR
This paper reviews and compares various halo finding algorithms in cosmological simulations, highlighting differences in object detection and property estimation, and discusses implications for astrophysical research.
Contribution
It provides a detailed analysis of the origins of discrepancies among halo finders and clarifies how different methods impact the derived properties of cosmic structures.
Findings
Up to 20% scatter in halo mass and Vmax functions across finders.
Differences in particle collection methods cause primary variations in halo properties.
Variations in derived quantities like spin and shape are larger than in basic properties.
Abstract
The ever increasing size and complexity of data coming from simulations of cosmic structure formation demands equally sophisticated tools for their analysis. During the past decade, the art of object finding in these simulations has hence developed into an important discipline itself. A multitude of codes based upon a huge variety of methods and techniques have been spawned yet the question remained as to whether or not they will provide the same (physical) information about the structures of interest. Here we summarize and extent previous work of the "halo finder comparison project": we investigate in detail the (possible) origin of any deviations across finders. To this extent we decipher and discuss differences in halo finding methods, clearly separating them from the disparity in definitions of halo properties. We observe that different codes not only find different numbers of…
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