The Last Journey. II. SMACC -- Subhalo Mass-loss Analysis using Core Catalogs
arXiv:2012.09262 · doi:10.3847/1538-4357/abf4fe
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.
arXiv comment15 pages, 10 figures. Submitted to ApJ
References in corpus (43)
- A Universal Density Profile from Hierarchical Clustering
- Seven-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation
- The Structure of Cold Dark Matter Halos
- Populating a cluster of galaxies - I. Results at z=0
- Statistical Properties of X-ray Clusters: Analytic and Numerical Comparisons
- Physical Models of Galaxy Formation in a Cosmological Framework
- Concentrations of Dark Halos from their Assembly Histories
- The Connection between Galaxies and their Dark Matter Halos
- The merger rate of galaxies in the Illustris Simulation: a comparison with observations and semi-empirical models
- The subhalo populations of LCDM dark haloes
- Gravitationally Consistent Halo Catalogs and Merger Trees for Precision Cosmology
- Formation and evolution of galaxy dark matter halos and their substructure
- The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation
- Density profiles and substructure of dark matter halos: converging results at ultra-high numerical resolution
- Dark matter and cosmic structure
- K-band Properties of Galaxy Clusters and Groups: Luminosity Function, Radial Distribution and Halo Occupation Number
- The Physics of Galaxy Clustering I: A Model for Subhalo Populations
- Substructures in Cold Dark Matter Haloes
- 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
- HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures
- Statistics of Physical Properties of Dark Matter Clusters
- There's no place like home? Statistics of Milky Way-mass dark matter halos
- The Phoenix Project: the Dark Side of Rich Galaxy Clusters
- 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
- Halo Profiles and the Concentration-Mass Relation for a ΛCDM Universe
- CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST
- The Substructure Hierarchy in Dark Matter Haloes
- The Fate of Substructures in Cold Dark Matter Haloes
- The radial distribution of galaxies in groups and clusters
- The phase-space structure of a dark-matter halo: Implications for dark-matter direct detection experiments
- Generating Merger Trees for Dark Matter Haloes: A Comparison of Methods
- The Accuracy of Subhalo Detection
- Simulation techniques for cosmological simulations
- Modeling evolution of dark matter substructure and annihilation boost
- Dissecting the Evolution of Dark Matter Subhaloes in the Bolshoi Simulation
- The Galaxy Clustering Crisis in Abundance Matching
- Numerical resolution limits on subhalo abundance matching
- PICS: Simulations of Strong Gravitational Lensing in Galaxy Clusters
- The Last Journey. I. An Extreme-Scale Simulation on the Mira Supercomputer