Overview
This site provides halo/subhalo catalogs and merger trees
obtained from large cosmological N-body simulations.
Management with MySQL enables to access data easily and fast.
link to databases
Username and password are needed to access databases.
Please contact to
ishiyama -at- chiba-u.jp
For the faster access to the databases, redshifts of halos/subhalos are labeled as "Snap_num" (inteager) in consistent tree data.
To see look-up tables, please click the "redshifts" columns in the below table.
Simulation Details
The adopted cosmological
parameters are based on an observation of the cosmic
microwave background obtained by the Planck satellite
(
Planck Collaboration, 2014, A&A, 571, A16)
, namely, \(\Omega_0=0.31, \Omega_b=0.048,
\lambda_0=0.69, h=0.68, n_s=0.96\), and \(\sigma_8=0.83\).
Halo/subhalos are identified by
Rockstar (Behroozi et al. 2013).
Consistent tree (Behroozi et al. 2013)
is used for merger tree construction.
When you write papers using these catalogs,
please refer the papers specified in the © columns.
Name |
#particles |
L(Mpc/h) |
m (Msun/h) |
Consistent trees |
Rockstar |
redshifts |
© |
ν2GC-L |
81923 |
1120.0 |
2.20 x 108 |
✕ |
☺ |
z=0,1,2,3 4,4.57,6,7 |
1,2 |
ν2GC-M |
40963 |
560.0 |
2.20 x 108 |
upon request |
… |
table |
1,2 |
ν2GC-S |
20483 |
280.0 |
2.20 x 108 |
☺ |
… |
table |
1,2 |
ν2GC-H1 |
20483 |
140.0 |
2.75 x 107 |
☺ |
… |
table |
1,2 |
ν2GC-H2 |
20483 |
70.0 |
3.44 x 106 |
☺ |
… |
table |
1,2 |
Phi-0 |
20483 |
8.0 |
5.13 x 103 |
upon request |
upon request |
|
3 |
Phi-1 |
20483 |
32.0 |
3.28 x 105 |
☺ |
… |
table |
4 |
ν2GC-SS |
5123 |
70.0 |
2.20 x 108 |
☺ |
… |
table |
1,2 |
Phi-4096 |
40963 |
16.0 |
5.13 x 103 |
upon request |
upon request |
|
5 |
-
[1] The ν2GC Simulations :
Quantifying the Dark Side of the Universe in the Planck Cosmology
Ishiyama et al., 2015, PASJ, 67, 61
-
[2] The New Numerical Galaxy Catalog (ν2GC): An updated semi-analytic model of galaxy and active galactic nucleus formation with large cosmological N-body simulations
Makiya et al., 2016, PASJ, 68, 25
-
[3] Where are the Low-mass Population III Stars?
Ishiyama et al., 2016, ApJ, 826, 9
-
[4] The Abundance and Structure of Subhaloes near the Free Streaming Scale and Their Impact on Indirect Dark Matter Searches
Ishiyama and Ando, 2020, MNRAS, 492, 3662
-
[5] The Uchuu Simulations: Data Release 1 and Dark Matter Halo Concentrations
Ishiyama et al., 2021, MNRAS, 506, 4210
Mock galaxy catalogs
Some mock galaxy catalogs with a semi-analytic model of galaxy and AGN,
New Numerical Galaxy Catalog (ν2GC)
, are available.
link to mock catalogs
Publications using these data
-
[40] Virial halo mass function in the Planck cosmology
Shirasaki et al., 2021, ApJ in press
-
[39] The Uchuu simulations: Data Release 1 and dark matter halo concentrations
Ishiyama et al., 2021, MNRAS, 506, 4210
-
[38] Subaru High-z Exploration of Low-luminosity Quasars (SHELLQs). XIII. Large-scale Feedback and Star Formation in a Low-luminosity Quasar at z = 7.07 on the Local Black Hole to Host Mass Relation
Izumi et al., 2021, ApJ, 914, 36
-
[37] Stacked phase-space density of galaxies around massive clusters: comparison of dynamical and lensing masses
Shirasaki et al., 2021, MNRAS, 506, 3385
-
[36] Modelling population III stars for seminumerical simulations
Tanaka et al., 2021, MNRAS, 502, 463
-
[35] A Semianalytic Model of the Pairwise Velocity Distribution between Dark Matter Halos
Shirasaki et al., 2021, ApJ, 907, 38
-
[34] How biased are halo properties in cosmological simulations?
Mansfield et al., 2021, MNRAS, 500, 3309
-
[33] Diversity of Dark Matter Density Profiles in the Galactic Dwarf Spheroidal Satellites
Hayashi et al., 2020, ApJ, 904, 45
-
[32] Direct geometrical measurement of the Hubble constant from galaxy parallax: predictions for the Vera C. Rubin Observatory and Nancy Grace Roman Space Telescope
Croft, 2021, MNRAS, 501, 2688
-
[31] Revisiting Soltan's argument based on a semi-analytical model for galaxy and black hole evolution
Shirakata et al., 2020, ApJ, 898, 63
-
[30] Semi-analytic modelling of AGNs: auto-correlation function and halo occupation
Oogi et al., 2020, MNRAS, 497, 1
-
[29] The impact of filamentary accretion of subhaloes on the shape and orientation of haloes
Morinaga and Ishiyama, 2020, MNRAS, 495, 502
-
[28] Quantifying the effect of field variance on the Hα
luminosity function with the New Numerical Galaxy Catalogue (ν2GC)
Ogura et al., 2020, ApJ, 895, 9
-
[27] The Abundance and Structure of Subhaloes near the Free Streaming Scale and Their Impact on Indirect Dark Matter Searches
Ishiyama and Ando, 2020, MNRAS, 492, 3662
-
[26] Discrimination of heavy elements originating from Pop III stars in z = 3 intergalactic medium
Kirihara et al., 2020, MNRAS, 491, 4387
-
[25] Anisotropic halo assembly bias and redshift-space distortions
Obuljen et al., 2019, JCAP, 10, id.020
-
[24] Void Formation: Does the Void-in-Cloud Process Matter?
Chan et al., 2019, MNRAS, 490, 2405
-
[23] A young galaxy cluster in the old Universe
Hashimoto et al., 2019, MNRAS, 489, 2014
-
[22] Statistical properties of substructures around Milky Way-sized haloes and their implications for the formation of stellar streams
Morinaga et al., 2019, MNRAS, 487, 2718
-
[21] Effect of interstellar objects on metallicity of low-mass first stars formed in a cosmological model
Kirihara et al., 2019, MNRAS, 486, 5917
-
-
[20] Halo substructure boosts to the signatures of dark matter annihilation
Ando et al., 2019, Galaxies, 7, 68
-
[19]
Long Gamma-Ray Burst Rate at Very High Redshift
Kinugawa et al., 2019, ApJ, 878, id.128
-
[18] The dominant origin of diffuse Lyα halos around Lyα emitters explored by spectral energy distribution fitting and clustering analys
Kusakabe et al., 2019, PASJ, 71, id.55
-
[17] Slowing down of cosmic growth of supermassive black holes: Theoretical prediction of the Eddington ratio distribution
Shirakata et al., 2019, MNRAS, 487, 409
-
[16] Disentangling the physical parameters of gaseous nebulae and galaxies
Kashino and Inoue, 2019, MNRAS, 486, 1053
-
[15] The New Numerical Galaxy Catalogue (ν2GC) : properties of active galactic nuclei and their host galaxies
Shirakata et al., 2019, MNRAS, 482, 4846
-
[14] Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs) III. Star formation properties of the host galaxies at z≥6 studied with ALMA
Izumi et al., 2018, PASJ, 70, id.36
-
[13] Modeling evolution of dark matter substructure and annihilation boost
Hiroshima et al, 2018, PRD, 97, id.123002
-
[12] An Empirical Mass Function Distribution
Murray et al., 2018, ApJ, 855, id.5
-
[11] First results on the cluster galaxy population from the Subaru Hyper Suprime-Cam survey. II. Faint end color-magnitude diagrams and radial profiles of red and blue galaxies at 0.1 < z < 1.1
Nishizawa et al., 2018, PASJ, 70, id.S24
-
[10] The FMOS-COSMOS Survey of Star-forming Galaxies at z∼1.6. V: Properties of Dark Matter Halos Containing Hα Emitting Galaxies
Kashino et al., 2017, ApJ, 843, 138
-
[9] Imprints of the super-Eddington accretion on the quasar clustering
Oogi et al., 2017, MNRAS, 471, L21
-
[8] Universal Dark Halo Scaling Relation for the Dwarf Spheroidal Satellites
Hayashi et al., 2017, ApJ, 843, 97
-
[7] Theoretical re-evaluations of the black hole mass-bulge mass relation - I. Effect of seed black hole mass
Shirakata et al., 2016, MNRAS, 461, 4389
-
[6] Quasar clustering in a galaxy and quasar formation model based on ultra high-resolution N-body simulations
Oogi et al., 2016, MNRAS, 456, L30
-
[5] Where are the Low-mass Population III Stars?
Ishiyama et al., 2016, ApJ, 826, 9
-
[4] The Impact of Dust in Host Galaxies on Quasar Luminosity Functions
Shirakata et al., 2015, MNRAS, 450, L6
-
[3] Anti-hierarchical evolution of the AGN space density in a hierarchical universe
Enoki et al., 2014, ApJ, 794, 69
-
[2] The New Numerical Galaxy Catalog (ν2GC): An updated semi-analytic model of galaxy and active galactic nucleus formation with large cosmological N-body simulations
Makiya et al., 2016, PASJ, 68, 25
-
[1] The ν2GC Simulations :
Quantifying the Dark Side of the Universe in the Planck Cosmology
Ishiyama et al., 2015, PASJ, 67, 61