Files and links (2)
Published, Version of Record (VoR)Open Access (License Unspecified), Open
Journal article
THE COSMOGRID SIMULATION: STATISTICAL PROPERTIES OF SMALL DARK MATTER HALOS
The Astrophysical journal, v 767(2), pp 1-14
20 Apr 2013
Abstract
We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048(3) particles. The mass of each particle is 1.28 x 10(5) M-circle dot, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to similar to 10(7) M-circle dot. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than - 1 at the innermost radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than similar to 10(8) M-circle dot. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than similar to 10(11) M-circle dot halos have.
Metrics
Details
- Title
- THE COSMOGRID SIMULATION: STATISTICAL PROPERTIES OF SMALL DARK MATTER HALOS
- Creators
- Tomoaki Ishiyama - University of TsukubaSteven Rieder - Leiden UniversityJunichiro Makino - Tokyo Institute of TechnologySimon Portegies Zwart - Leiden Univ, Sterrewacht Leiden, NL-2300 RA Leiden, NetherlandsDerek Groen - University College LondonKeigo Nitadori - RIKEN Advanced Institute for Computational Science, JapanCees de Laat - University of AmsterdamStephen McMillan - Drexel Univ, Dept Phys, Philadelphia, PA 19104 USAKei Hiraki - University of TokyoStefan Harfst - Technical University of Berlin
- Publication Details
- The Astrophysical journal, v 767(2), pp 1-14
- Publisher
- Iop Publishing Ltd
- Number of pages
- 14
- Grant note
- Research Fellowship of the Japan Society for the Promotion of Science (JSPS) for Young Scientists; Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT); Japan Society for the Promotion of Science SH-095-08 / Stichting Nationale Computerfaciliteiten Leids Kerkhoven-Bosscha fonds (LKBF) 639.073.803; 643.200.503; 643.000.803 / Netherlands organization for Scientific research (NWO); Netherlands Organization for Scientific Research (NWO) NAOJ, SURFnet (GigaPort project) RI-031513; RI-222919 / DEISA Consortium; European Commission EP/I017909/1 / Engineering and Physical Sciences Research Council; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) hp120286 / K computer at the RIKEN Advanced Institute for Computational Science International Information Science Foundation (IISF) 24740115 / MEXT HPCI STRATEGIC PROGRAM and MEXT/JSPS KAKENHI; Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT); Japan Society for the Promotion of Science; Grants-in-Aid for Scientific Research (KAKENHI) EP/I017909/1 / EPSRC; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) Netherlands Advanced School for Astronomy (NOVA) Special Coordination Fund for Promoting Science and Technology (GRAPE-DR project), Ministry of Education, Culture, Sports, Science and Technology, Japan; Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000317346800049
- Scopus ID
- 2-s2.0-84876098593
- Other Identifier
- 991019167679104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Astronomy & Astrophysics