The MultiDark Database: Release of the Bolshoi and MultiDark cosmological simulations

Riebe, Kristin; Partl, Adrian M.; Enke, H.; Forero-Romero, Jaime E.; Gottlöber, Stefan; Klypin, Anatoly; Lemson, Gerard; Prada, Francisco; Primack, Joel R.; Steinmetz, Matthias; Turchaninov, V.

doi:10.1002/asna.201211900

Cited by 214 publications

(215 citation statements)

References 62 publications

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“…Haloes were defined based on two different algorithms. One identifies density peaks including substructures using the Bound Density Maximum (BDM) halo finder (Klypin & Holtzman 1997;Riebe et al 2011) and the other one groups up the particles using a friend-of-friend (FOF) halo finder. In this work, we use the FOF catalogue as our reference.…”

Section: Reference Simulations and Computational Requirementsmentioning

confidence: 99%

EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics

Chuang

Kitaura

Prada

et al. 2014

Monthly Notices of the Royal Astronomical Society

176

152

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We present a new methodology to generate mock halo or galaxy catalogues, which have accurate clustering properties, nearly indistinguishable from full N -body solutions, in terms of the one-point, two-point, and three-point statistics. In particular, the agreement is remarkable, within 1% up to k = 0.55 h Mpc −1 and down to r = 10 h −1 Mpc, for the power spectrum and two-point correlation function respectively, while the bispectrum agrees in general within 20% for different scales and shapes. Our approach is based on the Zel'dovich approximation, however, effectively including with the simple prescriptions the missing physical ingredients, and stochastic scale-dependent, non-local and nonlinear biasing contributions. The computing time and memory required to produce one mock is similar to that using the log-normal model. With high accuracy and efficiency, the effective Zel'dovich approximation mocks (EZmocks) provide a reliable and practical method to produce massive mock galaxy catalogues for the analysis of large-scale structure measurements.

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Section: Reference Simulations and Computational Requirementsmentioning

confidence: 99%

EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics

Chuang

Kitaura

Prada

et al. 2014

Monthly Notices of the Royal Astronomical Society

176

152

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“…The simulation spans a box of side length 400 h −1 Mpc with 3840 3 particles, achieving a mass resolution of ∼ 9.6 × 10 7 h −1 M . DM haloes are defined by the BDM halo finder (Klypin & Holtzman 1997;Riebe et al 2013), with their virial radius, Rvir, defined as the radius within which the density is equal to 360 × ρm, where ρm is the average density in the universe.…”

Section: Simulationmentioning

confidence: 99%

The abundance and environment of dark matter haloes

Metuki

Libeskind

Hoffman

2016

Mon. Not. R. Astron. Soc.

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An open question in cosmology and the theory of structure formation is to what extent does environment affect the properties of galaxies and haloes. The present paper aims at shedding light on this problem. The paper focuses on the analysis of a dark matter only simulation and it addresses the issue of how the environment affects the abundance of haloes, which are are assigned four attributes: their virial mass, an ambient density calculated with an aperture that scales with R vir (∆ M ), a fixedaperture (∆ R ) ambient density, and a cosmic web classification (i.e. voids, sheets, filaments, and knots, as defined by the V-web algorithm). ∆ M is the mean density around a halo evaluated within a sphere of a radius of 5R vir , where R vir is the virial radius. ∆ R is the density field Gaussian smoothed with R = 4 h −1 Mpc, evaluated at the center of the halo. The main result of the paper is that the difference between haloes in different web elements stems from the difference in their mass functions, and does not depend on their adaptive-aperture ambient density. A dependence on the fixed-aperture ambient density is induced by the cross correlation between the mass of a halo and its fixed-aperture ambient density.

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“…cosmosim.org/. A detailed description of the database structure was presented by Riebe et al (2013).…”

Section: Cosmic Web Identificationmentioning

confidence: 99%

The Local Group in the Cosmic Web

Forero-Romero

González

2015

ApJ

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We explore the characteristics of the cosmic web around Local Group(LG) like pairs using a cosmological simulation in the ΛCDM cosmology. We use the Hessian of the gravitational potential to classify regions on scales of ∼ 2 Mpc as a peak, sheet, filament or void. The sample of LG counterparts is represented by two samples of halo pairs. The first is a general sample composed by pairs with similar masses and isolation criteria as observed for the LG. The second is a subset with additional observed kinematic constraints such as relative pair velocity and separation. We find that the pairs in the LG sample with all constraints are: (i) Preferentially located in filaments and sheets, (ii) Located in in a narrow range of local overdensity 0 < δ < 2, web ellipticity 0.1 < e < 1.0 and prolateness −0.4 < p < 0.4. (iii) Strongly aligned with the cosmic web. The alignments are such that the pair orbital angular momentum tends to be perpendicular to the smallest tidal eigenvector,ê 3 , which lies along the filament direction or the sheet plane. A stronger alignment is present for the vector linking the two halos with the vectorê 3 . Additionally, we fail to find a strong correlation of the spin of each halo in the pair with the cosmic web. All these trends are expected to a great extent from the selection on the LG total mass on the general sample. Applied to the observed LG, there is a potential conflict between the alignments of the different planes of satellites and the numerical evidence for satellite accretion along filaments; the direction defined byê 3 . This highlights the relevance of achieving a precise characterization of the place of the LG in the cosmic web in the cosmological context provided by ΛCDM.

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The MultiDark Database: Release of the Bolshoi and MultiDark cosmological simulations

Cited by 214 publications

References 62 publications

EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics

EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics

The abundance and environment of dark matter haloes

The Local Group in the Cosmic Web

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