[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5303/JKAS.2011.44.6.217

THE NEW HORIZON RUN COSMOLOGICAL N-BODY SIMULATIONS

Kim, Ju-Han (Center for Advanced Computation, Korea Institute for Advanced Study)
Park, Chang-Bom (School of Physics, Korea Institute for Advanced Study)
Rossi, Graziano (School of Physics, Korea Institute for Advanced Study)
Lee, Sang-Min (Supercomputing Center, KISTI)
Gott, J. Richard III (Department of Astrophysical Sciences, Princeton University)

Publication Information

Journal of The Korean Astronomical Society / v.44, no.6, 2011 , pp. 217-234 More about this Journal

Abstract

We present two large cosmological N-body simulations, called Horizon Run 2 (HR2) and Horizon Run 3 (HR3), made using $6000^3$ = 216 billions and $7210^3$ = 374 billion particles, spanning a volume of $(7.200\;h^{-1}Gpc)^3$ and $(10.815\;h^{-1}Gpc)^3$ , respectively. These simulations improve on our previous Horizon Run 1 (HR1) up to a factor of 4.4 in volume, and range from 2600 to over 8800 times the volume of the Millennium Run. In addition, they achieve a considerably finer mass resolution, down to $1.25{\times}10^{11}h^{-1}M_{\odot}$ , allowing to resolve galaxy-size halos with mean particle separations of $1.2h^{-1}$ Mpc and $1.5h^{-1}$ Mpc, respectively. We have measured the power spectrum, correlation function, mass function and basic halo properties with percent level accuracy, and verified that they correctly reproduce the CDM theoretical expectations, in excellent agreement with linear perturbation theory. Our unprecedentedly large-volume N-body simulations can be used for a variety of studies in cosmology and astrophysics, ranging from large-scale structure topology, baryon acoustic oscillations, dark energy and the characterization of the expansion history of the Universe, till galaxy formation science - in connection with the new SDSS-III. To this end, we made a total of 35 all-sky mock surveys along the past light cone out to z = 0.7 (8 from the HR2 and 27 from the HR3), to simulate the BOSS geometry. The simulations and mock surveys are already publicly available at http://astro.kias.re.kr/Horizon-Run23/.

Keywords

cosmological parameters; cosmology: theory; large-scale structure of the Universe; galaxies: formation; methods: N-body simulations;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)
Times Cited By Web Of Science : 5 (Related Records In Web of Science)
Times Cited By SCOPUS : 5

Reference
Cited By KSCI

1	Gott, J. R., Choi, Y.-Y., Park, C., & Kim, J. 2009, Three-Dimensional Genus Topology of Luminous Red Galaxies, ApJ, 695, 45
2	Gott, J. R., et al. 2008, Genus Topology of Structure in the Sloan Digital Sky Survey: Model Testing, ApJ, 675, 16
3	Gott, J. R., Juric, M., Schlegel, D., Hoyle, F., Vogeley, M., Tegmark, M., Bahcall, N., & Brinkmann, J. 2005, A Map of the Universe, ApJ, 624, 463 DOI
4	Gott, J. R., Dickinson, M., & Melott, A. L. 1986, The Sponge-Like Topology of Large-Scale Structure in the Universe, ApJ, 306, 341 DOI
5	Governato, F., Babul, A., Quinn, T., et al. 1999, Properties of Galaxy Clusters: Mass and Correlation Functions, MNRAS, 307, 949 DOI
6	Green, J., et al. 2011, Wide-Field InfraRed Survey Telescope (WFIRST) Interim Report, arXiv: 1108.1374
7	Groth, E. J., & Peebles, P. J. E. 1975, N-Body Studies of the Clustering of Galaxies, BAAS, 7, 425
8	Henon, M., & Heiles, C. 1964, The Applicability of the Third Integral of Motion: Some Numerical Experiments, AJ, 69, 73 DOI
9	Hill, G. J., Gebhardt, K., Komatsu, E., & MacQueen, P. J. 2004, The Hobby-Eberly Telescope Dark Energy Experiment, AIPC, 743, 224
10	nkins, A., et al. 2001, The Mass Function of Dark Matter Haloes, MNRAS, 321, 372 DOI ScienceOn
11	Jee, I., Park, C., & Kim, J. 2011, A Second-Order Bias Model for the Logarithmic Halo Mass Density, ApJ, submitted
12	Desjacques, V., & Seljak, U. 2010, Signature of Primor- dial Non-Gaussianity of 3 Type in the Mass Func- tion and Bias of Dark Mtter Haloes, Phys. Rev. D., 81, 3006
13	Desjacques, V., Seljak, U., & Iliev, I. T. 2009, Scale- Dependent Bias Induced by Local Non-Gaussianity: a Comparison to N-Body Simulations, MNRAS, 396, 85 DOI ScienceOn
14	Diemand, J., & Moore, B. 2009, The Structure and Evolution of Cold Dark Matter Halos, arXiv:0906.4340
15	Diemand, J., Kuhlen, M., Madau, P., Zemp, M., Moore, B., Potter, D., & Stadel, J. 2008, Clumps and Streams in the Local Dark Matter Distribution, Nature, 454, 735 DOI ScienceOn
16	Diemand, J., Moore, B., & Stadel, J. 2004, Convergence and Scatter of Cluster Density Profiles, MNRAS, 353, 624 DOI ScienceOn
17	elb, J. M., & Bertschinger, E. 1994, Cold Dark Matter. 1: The Formation of Dark Halos, ApJ, 436, 467 DOI
18	Dubinski, J., Kim, J., Park, C., & Humble, R. 2004, GOTPM: a Parallel Hybrid Particle-Mesh Treecode, New Astronomy, 9, 111 DOI ScienceOn
19	Efstathiou, G., & Eastwood, J. W. 1981, On the Clustering of Particles in an Expanding Universe, MNRAS, 194, 503 DOI
20	isenstein, D. J., et al. 2005, Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies, ApJ, 633, 560 DOI
21	Eisenstein, D. J., & Hu, W. 1999, Power Spectra for Cold Dark Matter and Its Variants, ApJ, 511, 5 DOI
22	isenstein, D. J., & Hu, W. 1998, Baryonic Features in the Matter Transfer Function, ApJ, 496, 605 DOI
23	Gao, L., et al. 2008, The Redshift Dependence of the Structure of Massive Cold Dark Matter Haloes, MNRAS, 387, 536 DOI ScienceOn
24	Cole, S., et al. 2005, The 2dF Galaxy Redshift Survey: Power-Spectrum Analysis of the Final Data Set and Cosmological Implications, MNRAS, 362, 505 DOI ScienceOn
25	Choi, Y.-Y., Park, C., Kim, J., Gott, J. R., Weinberg, D. H., Vogeley, M. S., & Kim, S. S. 2010, Galaxy Clustering Topology in the Sloan Digital Sky Survey Main Galaxy Sample: A Test for Galaxy Formation Models, ApJS, 190, 181 DOI
26	Cimatti, A., et al. 2008, GMASS Ultradeep Spec- troscopy of Galaxies at z -2. II. Superdense Passive Galaxies: How Did They Form and Evolve?, A&A, 482, 21 DOI ScienceOn
27	Colberg, J. M., White, S. D. M., Yoshida, N., et al. 2000, Clustering of Galaxy Clusters in Cold Dark Matter Universes, MNRAS, 319, 209 DOI
28	Colless, M., et al. 2001, The 2dF Galaxy Redshift Sur- vey: Spectra and Redshifts, MNRAS, 328, 1039 DOI ScienceOn
29	Crocce, M., & Scoccimarro, R. 2008, Nonlinear Evolu- tion of Baryon Acoustic Oscillations, Phys. Rev. D., 77, 3533
30	Crocce, M., Pueblas, S., & Scoccimarro, R. 2006, Transients from Initial Conditions in Cosmological Simulations, MNRAS, 373, 369 DOI ScienceOn
31	Crotts, A., et al. 2005, Joint Efficient Dark-energy Investigation (JEDI): a Candidate Implementation of the NASA-DOE Joint Dark Energy Mission (JDEM), astro-ph/0507043
32	Dalal, N., Dore, O., Huterer, D., & Shirokov, A. 2008, Imprints of Primordial Non-Gaussianities on Large-Scale Structure: Scale-Dependent Bias and Abundance of Virialized Objects, Phys. Rev. D., 77, 123514 DOI
33	Davis, M., Efstathiou, G., Frenk, C. S., & White, S. D. M. 1985, The Evolution of Large-Scale Struc- ture in a Universe Dominated by Cold Dark Matter, ApJ, 292, 371 DOI
34	Bertschinger, E. 1998, Simulations of Structure Formation in the Universe, ARAA, 36, 599 DOI ScienceOn
35	Aarseth, S. J., Turner, E. L., & Gott, J. R. 1979, N-Body Simulations of Galaxy Clustering. I - Initial Conditions and Galaxy Collapse Times, ApJ, 228, 664 DOI
36	Abbott, T., et al. 2005, The Dark Energy Survey, astro-ph/0510346
37	Albrecht, A., et al. 2006, Report of the Dark Energy Task Force, astro-ph/0609591
38	Bett, P., Eke, V., Frenk, C. S., Jenkins, A., Helly, J., & Navarro, J. 2007, The Spin and Shape of Dark Matter Haloes in the Millennium Simulation of a Cold Dark Matter Universe, MNRAS, 376, 215 DOI ScienceOn
39	Blake, C., et al. 2008, The Wiggle Z Dark Energy Survey, Astronomy & Geophysics, 49, 19
40	Bode, P., Bahcall, N. A., Ford, E. B., & Ostriker, J. P. 2001, Evolution of the Cluster Mass Function: GPC3 Dark Matter Simulations, ApJ, 551, 15 DOI
41	Carlberg, R. G., & Couchman, H. M. P. 1989, Mergers and Bias in a Cold Dark Matter Cosmology, ApJ, 340, 47 DOI
42	Zheng, Z., & Weinberg, D. H. 2007, Breaking the Degeneracies between Cosmology and Galaxy Bias, ApJ, 659, 1 DOI
43	Carnero, A., Sanchez, E., Crocce, M., Cabre, A., & Gaztanaga, E. 2011, Clustering of Photometric Luminous Red Galaxies - II. Cosmological Implications from the Baryon Acoustic Scale, arXiv:1104.5426
44	White, S. D. M., Davis, M., Efstathiou, G., & Frenk, C. S. 1987, Galaxy Distribution in a Cold Dark Matter Universe, Nature, 330, 451 DOI
45	White, S. D. M., & Rees, M. J. 1978, Core Condensation in Heavy Halos - A Two-Stage Theory for Galaxy Formation and Clustering, MNRAS, 183, 341 DOI
46	Yoo, J., Fitzpatrick, A. L., & Zaldarriaga, M. 2009, New Perspective on Galaxy Clustering as a Cos- mological Probe: General Relativistic Effects, Phys. Rev. D., 80, 3514
47	York, D. G., et al. 2000, The Sloan Digital Sky Survey: Technical Summary, AJ, 120, 1579 DOI ScienceOn
48	Zurek, W. H., Quinn, P. J., Salmon, J. K., & Warren, M. S. 1994, Large-Scale Structure after COBE: Peculiar Velocities and Correlations of Cold Dark Matter Halos, ApJ, 431, 559 DOI
49	Springel, V., et al. 2005, Simulations of the Formation, Evolution and Clustering of Galaxies and Quasars, Nature, 435, 629 DOI ScienceOn
50	Springel, V., et al. 2008, The Aquarius Project: the Subhaloes of Galactic Haloes, MNRAS, 391, 1685 DOI ScienceOn
51	Stadel, J., et al. 2009, Quantifying the Heart of Darkness with GHALO - a Multibillion Particle Simulation of a Galactic Halo, MNRAS, 398, 21 DOI ScienceOn
52	Sugiyama, N. 1995, Cosmic Background Anisotropies in Cold Dark Matter Cosmology, ApJS, 100, 281 DOI
53	Suto, Y., & Suginohara, T. 1991, Redshift-Space Correlation Functions in the Cold Dark Matter Scenario, ApJL, 370, L15 DOI
54	eyssier, R., et al. 2009, Full-Sky Weak-Lensing Simulation with 70 Billion Particles, A&A, 497, 335 DOI
55	Tyson, J. A., & LSST 2004, The Large Synoptic Survey Telescope Science Requirements, AAS, 20510801
56	Wambsganss, J., Bode, P., & Ostriker, J. P. 2004, Giant Arc Statistics in Concord with a Concordance Lambda Cold Dark Matter Universe, ApJL, 606, L93 DOI
57	van Albada, G. B. 1961, Evolution of Clusters of Galaxies under Gravitational Forces, AJ, 66, 590 DOI
58	Verde, L., & Matarrese, S. 2009, Detectability of the Effect of Inflationary Non-Gaussianity on Halo Bias, ApJ, 706, 91 DOI
59	ogeley, M. S., Park, C., Geller, M. J., & Huchra, J. P. 1992, Large-Scale Clustering of Galaxies in the CfA Redshift Survey, ApJ, 391, 5 DOI
60	Warren, M. S., Quinn, P. J., Salmon, J. K., & Zurek, W. H. 1992, Dark Halos Formed via Dissipationless Collapse. I - Shapes and Alignment of Angular Momentum, ApJ, 399, 405 DOI
61	White, S. D. M. 1976, The Dynamics of Rich Clusters of Galaxies, MNRAS, 177, 717 DOI
62	Perlmutter, S., et al. 1999, Measurements of Omega and Lambda from 42 High-Redshift Supernovae, ApJ, 517, 565 DOI
63	Press, W. H., & Schechter, P. 1974, Formation of Galaxies and Clusters of Galaxies by Self-Similar Gravitational Condensation, ApJ, 187, 425 DOI
64	Reed, D., et al. 2005, Evolution of the Density Profiles of Dark Matter Haloes, MNRAS, 357, 82 DOI ScienceOn
65	Reid, B. A., et al. 2010, Cosmological Constraints from the Clustering of the Sloan Digital Sky Survey DR7 Luminous Red Galaxies, MNRAS, 404, 60 DOI ScienceOn
66	Riess, A. G., et al. 1998, Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant, AJ, 116, 1009 DOI ScienceOn
67	Schlegel, D., White, M., & Eisenstein, D. 2009, The Baryon Oscillation Spectroscopic Survey: Precision measurement of the absolute cosmic distance scale, The Astronomy and Astrophysics Decadal Survey, Science White Papers, 314
68	Sanchez, A. G., Crocce, M., Cabre, A., Baugh, C. M., & Gaztanaga, E. 2009, Cosmological Parameter Constraints from SDSS Luminous Red Galaxies: a New Treatment of Large-Scale Clustering, MNRAS, 400, 1643 DOI ScienceOn
69	Sanchez, A. G., et al. 2006, Cosmological Parameters from Cosmic Microwave Background Measurements and the Final 2dF Galaxy Redshift Survey Power Spectrum, MNRAS, 366, 189 DOI ScienceOn
70	Schlegel, D., et al. 2011, The BigBOSS Experiment, arXiv: 1106.1706
71	Shandarin, S., Habib, S., & Heitmann, K. 2010, Origin of the Cosmic Network in $\Lambda$ CDM: Nature vs Nurture, Phys. Rev. D., 81, 3006
72	Spergel, D. N., et al. 2003, First-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Determination of Cosmological Parameters, ApJS, 148, 175 DOI ScienceOn
73	Park, C. 1997, A Particle-Mesh Code for the Next Generation Cosmological N-Body Simulations, JKAS, 30, 191 과학기술학회마을
74	Park, C. 1990, Large N-Body Simulations of a Universe Dominated by Cold Dark Matter MNRAS, 242, 59 DOI
75	Park C., & Kim, Y. R. 2010, Large-Scale Structure of the Universe as a Cosmic Standard Ruler, ApJL, 715, L185 DOI
76	Park, C., Kim, J., & Gott, J. R. 2005, Effects of Gravitational Evolution, Biasing, and Redshift Space Distortion on Topology, ApJ, 633, 1 DOI
77	Peebles, P. J. E. 1982, The Peculiar Velocity around a Hole in the Galaxy Distribution, ApJ, 257, 438 DOI
78	Park, C., Colley,W. N., Gott, J. R., Ratra, B., Spergel, D. N., & Sugiyama, N. 1998, Cosmic Microwave Background Anisotropy Correlation Function and Topology from Simulated Maps for MAP, ApJ, 506, 473 DOI
79	Park, C., Vogeley, M. S., Geller, M. J., & Huchra, J. P. 1994, Power Spectrum, Correlation Function, and Tests for Luminosity Bias in the CfA Redshift Survey, ApJ, 431, 569 DOI
80	Park, C., & Gott, J. R. 1991, Simulation of Deep One-and Two-Dimensional Redshift Surveys, MNRAS, 249, 288 DOI
81	Peebles, P. J. E. 1970, Structure of the Coma Cluster of Galaxies, ApJ, 75, 13 DOI
82	Percival, W. J., et al. 2010, Baryon Acoustic Oscillations in the Sloan Digital Sky Survey Data Release 7 galaxy Sample, MNRAS, 401, 2148 DOI ScienceOn
83	Percival, W. J., Cole, S., Eisenstein, D. J., Nichol, R. C., Peacock, J. A., Pope, A. C., & Szalay, A. S. 2007, Measuring the Baryon Acoustic Oscillation scale using the Sloan Digital Sky Survey and 2dF Galaxy Redshift Survey, MNRAS, 381, 1053 DOI ScienceOn
84	Kowalski, M., et al. 2008, Improved Cosmological Constraints from New, Old, and Combined Supernova Data Sets, ApJ, 686, 749 DOI
85	Li, Y., Mo, H. J., & Gao, L. 2008, On Halo Formation Times and Assembly Bias, MNRAS, 389, 1419 DOI ScienceOn
86	LoVerde, M., Hui, L., & Gaztanaga, E. 2008, Lensing Corrections to Features in the Angular Two-Point Correlation Function and Power Spectrum, Phys. Rev. D., 77, 3512
87	Lukic, J., Heitmann, K., Habib, S., Bashinsky, S., & Ricker, P. M. 2007, The Halo Mass Function: High- Redshift Evolution and Universality, ApJ, 671, 1160 DOI
88	Miyoshi, K., & Kihara, T. 1975, Development of the Correlation of Galaxies in an Expanding Universe, PASJ, 27, 333
89	Maccio, A. V., Dutton, A. A., van den Bosch, F. C., Moore, B., Potter, D., & Stadel, J. 2007, Concentration, Spin and Shape of Dark Matter Haloes: Scatter and the Dependence on Mass and Environment, MNRAS, 378, 55 DOI ScienceOn
90	Matsubara, T. 2004, Correlation Function in Deep Redshift Space as a Cosmological Probe, ApJ, 615, 573 DOI
91	Montesano, F., Sanchez, A. G., & Phleps, S. 2010, A New Model for the Full Shape of the Large-Scale Power Spectrum, MNRAS, 408, 2397 DOI ScienceOn
92	Moore, B., Governato, F., Quinn, T., Stadel, J., & Lake, G. 1998, Resolving the Structure of Cold Dark Matter Halos, ApJ, 499, 5 DOI
93	Navarro, J. F., Frenk, C. S., & White, S. D. M. 1997, A Universal Density Profile from Hierarchical Clustering, ApJ, 490, 493 DOI
94	Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, The Structure of Cold Dark Matter Halos, ApJ, 462, 563 DOI
95	Neto, A., et al. 2007, The Statistics of CDM Halo Concentrations, MNRAS, 381, 1450 DOI ScienceOn
96	Jenkins, A., Frenk, C. S., Pearce, F. R., et al. 1998, Evolution of Structure in Cold Dark Matter Universes, ApJ, 499, 20 DOI
97	Jeong, D., & Komatsu, E. 2009, Primordial Non- Gaussianity, Scale-dependent Bias, and the Bispec- trum of Galaxies, ApJ, 703, 1230 DOI
98	ing, Y. P., Suto, Y., & Mo, H. J. 2007, The Dependence of Dark Halo Clustering on Formation Epoch and Concentration Parameter, ApJ, 657, 664
99	Kaiser, N., et al. 2002, Pan-STARRS: A Large Synoptic Survey Telescope Array, Proc. SPIE, 4836, 154
100	ing, Y. P., & Suto, Y. 2002, Triaxial Modeling of Halo Density Profiles with High-Resolution N-Body Simulations, ApJ, 574, 538
101	Kazin, E. A., Blanton, M. R., Scoccimarro, R., McBride, C. K., & Berlind, A. A. 2010, The Baryonic Acoustic Feature and Large-Scale Clustering in the Sloan Digital Sky Survey Luminous Red Galaxy Sample, ApJ, 710, 1444 DOI
102	Kim, J., Park, C., Gott, J. R., & Dubinski, J. 2009, The Horizon Run N-Body Simulation: Baryon Acoustic Oscillations and Topology of Large-scale Structure of the Universe, ApJ, 701, 1547 DOI
103	Kim, J., Park, C., & Choi, Y.-Y. 2008, A Subhalo- Galaxy Correspondence Model of Galaxy Biasing, ApJ, 683, 123 DOI
104	im, J., & Park, C. 2006, A New Halo-Finding Method for N-Body Simulations, ApJ, 639, 600 DOI
105	Klypin, A., Kravtsov, A. V., Bullock, J. S., & Primack, J. R. 2001, Resolving the Structure of Cold Dark Matter Halos, ApJ, 554, 903
106	Komatsu, E., et al. 2011, Seven-year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation, ApJS, 192, 18 DOI
107	Komatsu, E., et al. 2009, Five-Year Wilkinson Microwave Anisotropy Probe Observations: Cosmological Interpretation, ApJS, 180, 330 DOI
108	Gao, L., & White, S. D. M. 2007, Assembly Bias in the Clustering of Dark Matter Haloes, MNRAS, 377, 5 DOI ScienceOn
109	Gaztanaga, E., Cabre, A., & Hui, L. 2009, Clustering of Luminous Red Galaxies - IV. Baryon Acoustic Peak in the Line-of-Sight Direction and a Direct Measurement of H(z), MNRAS, 399, 1663 DOI ScienceOn

6	Hayley J. Macpherson. (2017) Physical Review D Inhomogeneous cosmology with numerical relativity / 95 (6)
1	Ariel G. Sanchez. (2012) Monthly Notices of the Royal Astronomical Society The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological implications of the large-scale two-point correlation function / 425 (1) , 415
	D. Nelson. (2015) Astronomy and Computing The illustris simulation: Public data release / 13 , 12
2	Xiao-Dong Li. (2014) The Astrophysical Journal COSMOLOGICAL CONSTRAINTS FROM THE REDSHIFT DEPENDENCE OF THE ALCOCK-PACZYNSKI TEST: GALAXY DENSITY GRADIENT FIELD / 796 (2) , 137
	Benjamin L’Huillier. (2014) New Astronomy Effects of the initial conditions on cosmological N-body simulations / 30 , 79
	Dragan Huterer. (2015) Astroparticle Physics Growth of cosmic structure: Probing dark energy beyond expansion / 63 , 23
2	Prachi Parihar. (2014) The Astrophysical Journal A TOPOLOGICAL ANALYSIS OF LARGE-SCALE STRUCTURE, STUDIED USING THE CMASS SAMPLE OF SDSS-III / 796 (2) , 86
01	Stefan Floerchinger. (2017) Journal of Cosmology and Astroparticle Physics Renormalization-group flow of the effective action of cosmological large-scale structures / 2017 (01) , 048
2	Young-Rae Kim. (2014) The Astrophysical Journal Supplement Series SYSTEMATIC EFFECTS ON THE GENUS TOPOLOGY OF THE LARGE-SCALE STRUCTURE OF THE UNIVERSE / 212 (2) , 22
2	Chan-Gyung Park. (2017) Monthly Notices of the Royal Astronomical Society The cosmological principle is not in the sky / 469 (2) , 1924
1	Intae Jung. (2014) The Astrophysical Journal EFFECTS OF LARGE-SCALE ENVIRONMENT ON THE ASSEMBLY HISTORY OF CENTRAL GALAXIES / 794 (1) , 74
2	Xiao-Dong Li. (2016) The Astrophysical Journal COSMOLOGICAL CONSTRAINTS FROM THE REDSHIFT DEPENDENCE OF THE ALCOCK–PACZYNSKI EFFECT: APPLICATION TO THE SDSS-III BOSS DR12 GALAXIES / 832 (2) , 103
2	Tiago Castro. (2016) Monthly Notices of the Royal Astronomical Society Constraining the halo mass function with observations / 463 (2) , 1666
	Maret Einasto. (2015) Astronomy & Astrophysics Unusual A2142 supercluster with a collapsing core: distribution of light and mass / 580 , A69
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4	P. Andersen. (2016) Monthly Notices of the Royal Astronomical Society Cosmology with peculiar velocities: observational effects / 463 (4) , 4083
6	Cora Uhlemann. (2015) Physical Review D Edgeworth streaming model for redshift space distortions / 92 (6)
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2	Ho Seong Hwang. (2016) The Astrophysical Journal HECTOMAP AND HORIZON RUN 4: DENSE STRUCTURES AND VOIDS IN THE REAL AND SIMULATED UNIVERSE / 818 (2) , 173
2	F. Simpson. (2016) Physical Review D Galaxy and mass assembly: Redshift space distortions from the clipped galaxy field / 93 (2)
	G Rossi. (2014) Journal of Physics: Conference Series Halo shapes, initial shear field, and cosmic web / 484 , 012049
1-2	Michael Kuhlen. (2012) Physics of the Dark Universe Numerical simulations of the dark universe: State of the art and the next decade / 1 (1-2) , 50
1	Changbom Park. (2012) The Astrophysical Journal THE CHALLENGE OF THE LARGEST STRUCTURES IN THE UNIVERSE TO COSMOLOGY / 759 (1) , L7
	Mikhail M. Ivanov. (2016) EPJ Web of Conferences Systematic treatment of non-linear effects in Baryon Acoustic Oscillations / 125 , 03006
4	Wojciech A. Hellwing. (2016) Monthly Notices of the Royal Astronomical Society The Copernicus Complexio: a high-resolution view of the small-scale Universe / 457 (4) , 3492
2	Darren J. Croton. (2016) The Astrophysical Journal Supplement Series SEMI-ANALYTIC GALAXY EVOLUTION (SAGE): MODEL CALIBRATION AND BASIC RESULTS / 222 (2) , 22
2	Robert Speare. (2015) The Astrophysical Journal HORIZON RUN 3: TOPOLOGY AS A STANDARD RULER / 799 (2) , 176
1	Xiao-Dong Li. (2015) Monthly Notices of the Royal Astronomical Society Cosmological constraints from the redshift dependence of the Alcock–Paczynski test and volume effect: galaxy two-point correlation function / 450 (1) , 807
2	Marcel Zemp. (2014) The Astrophysical Journal ON PHYSICAL SCALES OF DARK MATTER HALOS / 792 (2) , 124
	Stefan Floerchinger. (2016) EPJ Web of Conferences Effective description of dark matter as a viscous fluid / 125 , 03018
01	Diego Blas. (2014) Journal of Cosmology and Astroparticle Physics Cosmological perturbation theory at three-loop order / 2014 (01) , 010
3	Jihye Shin. (2014) Journal of The Korean Astronomical Society EUNHA: A NEW COSMOLOGICAL HYDRODYNAMIC SIMULATION CODE / 47 (3) , 87
3	L. G. Balázs. (2015) Monthly Notices of the Royal Astronomical Society A giant ring-like structure at 0.78 < z < 0.86 displayed by GRBs / 452 (3) , 2236
12	Michael Kopp. (2016) Physical Review D Gaussian streaming with the truncated Zel’dovich approximation / 94 (12)
1	Jihye Shin. (2017) The Astrophysical Journal New Fitting Formula for Cosmic Nonlinear Density Distribution / 843 (1) , 73
08	Hyerim Noh. (2013) Journal of Cosmology and Astroparticle Physics Cosmological post-Newtonian equations from nonlinear perturbation theory / 2013 (08) , 040
1	Francisco Prada. (2016) Monthly Notices of the Royal Astronomical Society Hunting down systematics in baryon acoustic oscillations after cosmic high noon / 458 (1) , 613
3	Albert Izard. (2016) Monthly Notices of the Royal Astronomical Society ICE-COLA: towards fast and accurate synthetic galaxy catalogues optimizing a quasi-N-body method / 459 (3) , 2327
S308	Prakash Sarkar. (2014) Proceedings of the International Astronomical Union Quantifying the Cosmic Web using the Shapefinder diagonistic / 11 (S308) , 250
2	Hee-Won Lee. (2013) The Astrophysical Journal ASYMMETRIC ABSORPTION PROFILES OF Lyα AND Lyβ IN DAMPED Lyα SYSTEMS / 772 (2) , 123
23	Julian Adamek. (2014) Classical and Quantum Gravity N-body methods for relativistic cosmology / 31 (23) , 234006
11	Diego Blas. (2015) Journal of Cosmology and Astroparticle Physics Large scale structure from viscous dark matter / 2015 (11) , 049
3	R. E. Angulo. (2012) Monthly Notices of the Royal Astronomical Society Scaling relations for galaxy clusters in the Millennium-XXL simulation / 426 (3) , 2046
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