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\textsc{CompaSO}: A new halo finder for competitive assignment to spherical overdensities by Hadzhiyska, Boryana; Eisenstein, Daniel; Bose, Sownak; Garrison, Lehman H.; Maksimova, Nina is a scholarly article available to read on EtoBox.

What is \textsc{CompaSO}: A new halo finder for competitive assignment to spherical overdensities about?

We describe a new method (\textsc{CompaSO}) for identifying groups of particles in cosmological $N$-body simulations. \textsc{CompaSO} builds upon existing spherical overdensity (SO) algorithms by taking into consideration the tidal radius around a smaller halo before competitively assigning halo membership to the particles. In this way, the \textsc{CompaSO} finder allows for more effective deblending of haloes in close proximity as well as the formation of new haloes on the outskirts of larger ones. This halo-finding algorithm is used in the \textsc{AbacusSummit} suite of $N$-body simulations, designed to meet the cosmological simulation requirements of the Dark Energy Spectroscopic Instrument (DESI) survey. \textsc{CompaSO} is developed as a highly efficient on-the-fly group finder, which is crucial for enabling good load-balancing between the GPU and CPU and the creation of high-resolution merger trees. In this paper, we describe the halo-finding procedure and its particular implementation in \Abacus{Abacus}, accompanying it with a qualitative analysis of the finder. {We test the robustness of the \textsc{CompaSO} catalogues before and after applying the cleaning method describe

Author

Hadzhiyska, Boryana; Eisenstein, Daniel; Bose, Sownak; Garrison, Lehman H.; Maksimova, Nina

Published

2021

Language

EN