The Last Journey. II. SMACC -- Subhalo Mass-loss Analysis using Core Catalogs

Abstract

This paper introduces SMACC -- Subhalo Mass-loss Analysis using Core Catalogs. SMACC adds a mass model to substructure merger trees based on halo "core tracking." Our approach avoids the need for running expensive subhalo finding algorithms and instead uses subhalo mass-loss modeling to assign masses to halo cores. We present details of the SMACC methodology and demonstrate its excellent performance in describing halo substructure and its evolution. Validation of the approach is carried out using cosmological simulations at significantly different resolutions. We apply SMACC to the 1.24 trillion-particle Last Journey simulation and construct core catalogs with the additional mass information. These catalogs can be readily used as input to semi-analytic models or subhalo abundance matching approaches to determine approximate galaxy distributions, as well as for in-depth studies of small-scale structure evolution.

15 pages, 10 figures. Submitted to ApJ

References in corpus (8)

• Dark matter and cosmic structure
• Dark Matter Substructure in Numerical Simulations: A Tale of Discreteness Noise, Runaway Instabilities, and Artificial Disruption
• The Excursion Set Theory of Halo Mass Functions, Halo Clustering, and Halo Growth
• The Nearly Universal Merger Rate of Dark Matter Haloes in Lambda-CDM Cosmology
• SubHaloes going Notts: The SubHalo-Finder Comparison Project
• The Population of Dark Matter Subhaloes: Mass Functions and Average Mass Loss Rates
• HBT+: an improved code for finding subhalos and building merger trees in cosmological simulations
• Simulation techniques for cosmological simulations

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