The cosmological simulation code gadget-2
Open accessAbstract
We discuss the cosmological simulation code GADGET-2, a new massively parallel TreeSPH code, capable of following a collisionless fluid with the N-body method, and an ideal gas by means of smoothed particle hydrodynamics (SPH).Our implementation of SPH manifestly conserves energy and entropy in regions free of dissipation, while allowing for fully adaptive smoothing lengths.Gravitational forces are computed with a hierarchical multipole expansion, which can optionally be applied in the form of a TreePM algorithm, where only short-range forces are computed with the 'tree' method while long-range forces are determined with Fourier techniques.Time integration is based on a quasi-symplectic scheme where long-range and short-range forces can be integrated with different time-steps.Individual and adaptive short-range time-steps may also be employed.The domain decomposition used in the parallelization algorithm is based on a space-filling curve, resulting in high flexibility and tree force errors that do not depend on the way the domains are cut.The code is efficient in terms of memory consumption and required communication bandwidth.It has been used to compute the first cosmological N-body simulation with more than 10 10 dark matter particles, reaching a homogeneous spatial dynamic range of 10 5 per dimension in a three-dimensional box.It has also been used to carry out very large cosmological SPH simulations that account for radiative cooling and star formation, reaching total particle numbers of more than 250 million.We present the algorithms used by the code and discuss their accuracy and performance using a number of test problems.GADGET-2 is publicly released to the research community.
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Cites
The Structure of Cold Dark Matter Halos
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1996) · The Astrophysical Journal · doi:10.1086/177173 · Cited by 8,544 · cited 1× · see citing works
“…results based on simulation work is therefore quite long, including fundamental results such as the density profiles of dark matter halos (e.g. Navarro et al., 1996), the existence and dynamics of dark matter substructure (e.g. Tormen, 1997), the non-linear clustering properties of dark…”
BackgroundSmoothed particle hydrodynamics: theory and application to non-spherical stars
Gingold, R. A., & Monaghan, J. J. (1977) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/181.3.375 · Cited by 7,318 · see citing works
A numerical approach to the testing of the fission hypothesis
Lucy, L. B. (1977) · The Astronomical Journal · doi:10.1086/112164 · Cited by 6,222 · see citing works
Simulations of the formation, evolution and clustering of galaxies and quasars
Springel, V., White, S. D. M., Jenkins, A. R., Frenk, C. S., Yoshida, N., Gao, L., Navarro, J. F., Thacker, R. J., Croton, D., Helly, J. C., et al. (2005) · Nature · doi:10.1038/nature03597 · Cited by 5,060 · see citing works
Self-citationSmoothed Particle Hydrodynamics
Monaghan, J. J. (1992) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev.aa.30.090192.002551 · Cited by 4,982 · see citing works
A hierarchical O(N log N) force-calculation algorithm
Barnes, J., & Hut, P. (1986) · Nature · doi:10.1038/324446a0 · Cited by 3,733 · see citing works
Energy input from quasars regulates the growth and activity of black holes and their host galaxies
Matteo, T. D., Springel, V., & Hernquist, L. (2005) · Nature · doi:10.1038/nature03335 · Cited by 3,235 · see citing works
Self-citationFLASH: An Adaptive Mesh Hydrodynamics Code for Modeling Astrophysical Thermonuclear Flashes
Fryxell, B. A., Olson, K., Ricker, P. M., Timmes, F. X., Zingale, M., Lamb, D. Q., MacNeice, P. J., Rosner, R., Truran, J. W., & Tufo, H. M. (2000) · The Astrophysical Journal Supplement Series · doi:10.1086/317361 · Cited by 2,573 · see citing works
Springel, V., & Hernquist, L. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.06206.x · Cited by 2,272 · see citing works
Self-citationCosmological hydrodynamics with adaptive mesh refinement
Teyssier, R. (2002) · Astronomy and Astrophysics · doi:10.1051/0004-6361:20011817 · Cited by 2,098 · see citing works
Geometric Numerical Integration
Hairer, E., Wanner, G., & Lubich, C. (2002) · Springer series in computational mathematics · doi:10.1007/978-3-662-05018-7 · Cited by 1,736 · see citing works
GADGET: a code for collisionless and gasdynamical cosmological simulations
Springel, V., Yoshida, N., & White, S. D. M. (2001) · New Astronomy · doi:10.1016/s1384-1076(01)00042-2 · Cited by 1,664 · see citing works
Self-citationThe mass function of dark matter haloes
Jenkins, A. R., Frenk, C. S., White, S. D. M., Colberg, J. M., Cole, S., EVRARD, A. E., Couchman, H. M. P., & Yoshida, N. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04029.x · Cited by 1,659 · see citing works
The Formation of the First Star in the Universe
Abel, T., Bryan, G. L., & Norman, M. L. (2002) · Science · doi:10.1126/science.1063991 · Cited by 1,453 · see citing works
Shock simulation by the particle method SPH
Monaghan, J. J., & Gingold, R. A. (1983) · Journal of Computational Physics · doi:10.1016/0021-9991(83)90036-0 · Cited by 1,295 · see citing works
The inner structure of CDM haloes -- I. A numerical convergence study
Power, C., Navarro, J. F., Jenkins, A. R., Frenk, C. S., White, S. D. M., Springel, V., Stadel, J., & Quinn, T. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.05925.x · Cited by 1,034 · see citing works
Self-citationTREESPH - A unification of SPH with the hierarchical tree method
Hernquist, L., & Katz, N. (1989) · The Astrophysical Journal Supplement Series · doi:10.1086/191344 · Cited by 1,013 · see citing works
Cosmological Simulations with TreeSPH
Katz, N., Weinberg, D. H., & Hernquist, L. (1996) · The Astrophysical Journal Supplement Series · doi:10.1086/192305 · Cited by 982 · see citing works
Cosmological smoothed particle hydrodynamics simulations: the entropy equation
Springel, V., & Hernquist, L. (2002) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2002.05445.x · Cited by 915 · see citing works
Self-citationBlack Holes in Galaxy Mergers: The Formation of Red Elliptical Galaxies
Springel, V., Matteo, T. D., & Hernquist, L. (2005) · The Astrophysical Journal · doi:10.1086/428772 · Cited by 789 · see citing works
Self-citationKlein, R. I., McKee, C. F., & Colella, P. (1994) · The Astrophysical Journal · doi:10.1086/173554 · Cited by 707 · see citing works
Gasoline: a flexible, parallel implementation of TreeSPH
Wadsley, J. W., Stadel, J., & Quinn, T. (2003) · New Astronomy · doi:10.1016/j.newast.2003.08.004 · Cited by 699 · see citing works
Adaptive Refinement Tree: A New High‐Resolution N ‐Body Code for Cosmological Simulations
Kravtsov, A. V., Klypin, A. A., & Khokhlov, A. M. (1997) · The Astrophysical Journal Supplement Series · doi:10.1086/313015 · Cited by 673 · see citing works
Simulations of Early Structure Formation: Primordial Gas Clouds
Yoshida, N., Abel, T., Hernquist, L., et al. (2003) · The Astrophysical Journal · doi:10.1086/375810 · Cited by 575 · see citing works
The history of star formation in a cold dark matter universe
Springel, V., & Hernquist, L. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.06207.x · Cited by 570 · see citing works
Self-citationA Multiple Time Step Symplectic Algorithm for Integrating Close Encounters
Duncan, M. J., Levison, H. F., & Lee, M. H. (1998) · The Astronomical Journal · doi:10.1086/300541 · Cited by 567 · see citing works
Resolution requirements for smoothed particle hydrodynamics calculations with self-gravity
Bate, M. R., & Burkert, A. M. (1997) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/288.4.1060 · Cited by 564 · see citing works
Evolution of Structure in Cold Dark Matter Universes
Jenkins, A. R., Frenk, C. S., Pearce, F. R., Thomas, P. A., Colberg, J. M., White, S. D. M., Couchman, H. M. P., Peacock, J. A., Efstathiou, G., & Nelson, A. H. (1998) · The Astrophysical Journal · doi:10.1086/305615 · Cited by 557 · see citing works
An Efficient Program for Many-Body Simulation
Appel, A. W. (1985) · SIAM Journal on Scientific and Statistical Computing · doi:10.1137/0906008 · Cited by 550 · see citing works
von Neumann stability analysis of smoothed particle hydrodynamics—suggestions for optimal algorithms
Balsara, D. S. (1995) · Journal of Computational Physics · doi:10.1016/s0021-9991(95)90221-x · Cited by 526 · see citing works
The Santa Barbara Cluster Comparison Project: A Comparison of Cosmological Hydrodynamics Solutions
Frenk, C. S., White, S. D. M., Bode, P. W., Bond, J. R., Bryan, G. L., Cen, R., Couchman, H. M. P., EVRARD, A. E., Gnedin, N. Y., Jenkins, A. R., et al. (1999) · The Astrophysical Journal · doi:10.1086/307908 · Cited by 491 · see citing works
Numerical techniques for large cosmological N-body simulations
Efstathiou, G., Davis, M., White, S. D. M., et al. (1985) · The Astrophysical Journal Supplement Series · doi:10.1086/191003 · Cited by 488 · see citing works
The Lyman-Alpha Forest in the Cold Dark Matter Model
Hernquist, L., Katz, N., Weinberg, D. H., et al. (1996) · The Astrophysical Journal · doi:10.1086/309899 · Cited by 438 · see citing works
Monaghan, J. J. (1997) · Journal of Computational Physics · doi:10.1006/jcph.1997.5732 · Cited by 425 · see citing works
Halo Properties in Cosmological Simulations of Self‐interacting Cold Dark Matter
Davé, R., Spergel, D. N., Steinhardt, P. J., & Wandelt, B. D. (2001) · The Astrophysical Journal · doi:10.1086/318417 · Cited by 387 · see citing works
Navarro, J. F., & White, S. D. M. (1993) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/265.2.271 · Cited by 387 · see citing works
Accretion and the stellar mass spectrum in small clusters
Bonnell, I. A., Bate, M. R., Clarke, C. J., et al. (1997) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/285.1.201 · Cited by 351 · see citing works
Dolag, K., Grasso, D., Springel, V., et al. (2005) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2005/01/009 · Cited by 334 · see citing works
Self-citationNumerical study of halo concentrations in dark-energy cosmologies
Dolag, K., Bartelmann, M., Perrotta, F., Baccigalupi, C., Moscardini, L., Meneghetti, M., & Tormen, G. (2004) · Astronomy and Astrophysics · doi:10.1051/0004-6361:20031757 · Cited by 327 · see citing works
Cosmic structure growth and dark energy
Linder, E. V., & Jenkins, A. R. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-2966.2003.07112.x · Cited by 319 · see citing works
Galaxy formation and physical bias
Cen, R., & Ostriker, J. P. (1992) · The Astrophysical Journal · doi:10.1086/186620 · Cited by 304 · see citing works
Hydra: an Adaptive-Mesh Implementation of P 3M-SPH
Couchman, H. M. P., Thomas, P. A., & Pearce, F. R. (1995) · The Astrophysical Journal · doi:10.1086/176348 · Cited by 281 · see citing works
Weakly Self-interacting Dark Matter and the Structure of Dark Halos
Yoshida, N., Springel, V., White, S. D. M., & Tormen, G. (2000) · The Astrophysical Journal · doi:10.1086/317306 · Cited by 280 · see citing works
Self-citationPerformance characteristics of tree codes
Hernquist, L. (1987) · The Astrophysical Journal Supplement Series · doi:10.1086/191215 · Cited by 274 · see citing works
Modelling star formation and feedback in simulations of interacting galaxies
Springel, V. (2000) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2000.03187.x · Cited by 272 · see citing works
Self-citationThree-dimensional numerical model of the formation of large-scale structure in the Universe
Klypin, A. A., & Shandarin, S. F. (1983) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/204.3.891 · Cited by 269 · see citing works
Kravtsov, A. V., Klypin, A. A., & Hoffman, Y. (2002) · The Astrophysical Journal · doi:10.1086/340046 · Cited by 267 · see citing works
Clustering in a neutrino-dominated universe
White, S. D. M., Frenk, C. S., & Davis, M. C. (1983) · The Astrophysical Journal · doi:10.1086/184139 · Cited by 261 · see citing works
Formation and evolution of X-ray clusters - A hydrodynamic simulation of the intracluster medium
EVRARD, A. E. (1990) · The Astrophysical Journal · doi:10.1086/169350 · Cited by 258 · see citing works
Mesh-refined P3M - A fast adaptive N-body algorithm
Couchman, H. M. P. (1991) · The Astrophysical Journal · doi:10.1086/185939 · Cited by 254 · see citing works
White, M. J. (2002) · The Astrophysical Journal Supplement Series · doi:10.1086/342752 · Cited by 239 · see citing works
Hut, P., Makino, J., & McMillan, S. (1995) · The Astrophysical Journal · doi:10.1086/187844 · Cited by 236 · see citing works
Beyond N-body: 3D cosmological gas dynamics
EVRARD, A. E. (1988) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/235.3.911 · Cited by 235 · see citing works
A Very Fast and Momentum-conserving Tree Code
Dehnen, W. (2000) · The Astrophysical Journal · doi:10.1086/312724 · Cited by 231 · see citing works
Effects of Cooling and Star Formation on the Baryon Fractions in Clusters
Kravtsov, A. V., Nagai, D., & Vikhlinin, A. A. (2005) · The Astrophysical Journal · doi:10.1086/429796 · Cited by 222 · see citing works
Skeletons from the Treecode Closet
Salmon, J. K., & Warren, M. S. (1994) · Journal of Computational Physics · doi:10.1006/jcph.1994.1050 · Cited by 220 · see citing works
The rise and fall of satellites in galaxy clusters
Tormen, G. (1997) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/290.3.411 · Cited by 208 · see citing works
Scannapieco, C., Tissera, P. B., White, S. D. M., et al. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09574.x · Cited by 205 · see citing works
Comparing AMR and SPH Cosmological Simulations. I. Dark Matter and Adiabatic Simulations
O’Shea, B. W., Nagamine, K., Springel, V., et al. (2005) · The Astrophysical Journal Supplement Series · doi:10.1086/432645 · Cited by 191 · see citing works
Self-citationGRAPE-6: Massively-Parallel Special-Purpose Computer for Astrophysical Particle Simulations
Makino, J., Fukushige, T., Koga, M., & Namura, K. (2003) · Publications of the Astronomical Society of Japan · doi:10.1093/pasj/55.6.1163 · Cited by 191 · see citing works
Symplectic integrators for solar system dynamics
Saha, P., & Tremaine, S. D. (1992) · The Astronomical Journal · doi:10.1086/116347 · Cited by 189 · see citing works
Fragmentation in a rotating protostar - A comparison of two three-dimensional computer codes
Boss, A. P., & Bodenheimer, P. H. (1979) · The Astrophysical Journal · doi:10.1086/157497 · Cited by 188 · see citing works
GRAPE‐4: A Massively Parallel Special‐Purpose Computer for CollisionalN‐Body Simulations
Makino, J., Taiji, M., Ebisuzaki, T., & Sugimoto, D. (1997) · The Astrophysical Journal · doi:10.1086/303972 · Cited by 181 · see citing works
Steinmetz, M. (1996) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/278.4.1005 · Cited by 180 · see citing works
A portable parallel particle program
Warren, M. S., & Salmon, J. K. (1995) · Computer Physics Communications · doi:10.1016/0010-4655(94)00177-4 · Cited by 173 · see citing works
Hydrodynamic Simulations of the Sunyaev-Zeldovich Effect(s)
Springel, V., White, M., & Hernquist, L. (2000) · The Astrophysical Journal · doi:10.1086/319473 · Cited by 171 · see citing works
Self-citationAdaptive Smoothed Particle Hydrodynamics: Methodology. II.
Owen, J. M., Villumsen, J. V., Shapiro, P. R., et al. (1998) · The Astrophysical Journal Supplement Series · doi:10.1086/313100 · Cited by 163 · see citing works
Thermal Conduction in Simulated Galaxy Clusters
Dolag, K., Jubelgas, M., Springel, V., et al. (2004) · The Astrophysical Journal · doi:10.1086/420966 · Cited by 158 · see citing works
Self-citationMultiple fragmentation in collapsing protostars*
Burkert, A. M., & Bodenheimer, P. H. (1993) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/264.4.798 · Cited by 155 · see citing works
Dubinski, J. (1996) · New Astronomy · doi:10.1016/s1384-1076(96)00009-7 · Cited by 154 · see citing works
Multi-level adaptive particle mesh (MLAPM): a C code for cosmological simulations
Knebe, A., Green, A., & Binney, J. J. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04532.x · Cited by 152 · see citing works
Simulating the metal enrichment of the intracluster medium
Tornatore, L., Borgani, S., Matteucci, F., et al. (2004) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2004.07689.x · Cited by 145 · see citing works
Cooling and heating the intracluster medium in hydrodynamical simulations
Tornatore, L., Borgani, S., Springel, V., et al. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.06631.x · Cited by 135 · see citing works
Self-citationHydrodynamic Interaction of Strong Shocks with Inhomogeneous Media. I. Adiabatic Case
Poludnenko, A., Frank, A., & Blackman, E. G. (2002) · The Astrophysical Journal · doi:10.1086/341886 · Cited by 135 · see citing works
A New Parallel N-Body Gravity Solver: TPM
Xu, G. (1995) · The Astrophysical Journal Supplement Series · doi:10.1086/192166 · Cited by 131 · see citing works
Robustness of Cosmological Simulations. I. Large‐Scale Structure
Heitmann, K., Ricker, P. M., Warren, M. S., & Habib, S. (2005) · The Astrophysical Journal Supplement Series · doi:10.1086/432646 · Cited by 121 · see citing works
Application of the Ewald method to cosmological N-body simulations
Hernquist, L., Bouchet, F. R., & Suto, Y. (1991) · The Astrophysical Journal Supplement Series · doi:10.1086/191530 · Cited by 117 · see citing works
Gao, L., White, S. D. M., Jenkins, A. R., et al. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09509.x · Cited by 117 · see citing works
Barnes, J. E., & Hut, P. (1989) · The Astrophysical Journal Supplement Series · doi:10.1086/191343 · Cited by 115 · see citing works
Davé, R., Dubinski, J., & Hernquist, L. (1997) · New Astronomy · doi:10.1016/s1384-1076(97)00019-5 · Cited by 114 · see citing works
Thermal conduction in cosmological SPH simulations
Jubelgas, M., Springel, V., & Dolag, K. (2004) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2004.07801.x · Cited by 110 · see citing works
Self-citationCollisions of giant stars with compact objects - Hydrodynamical calculations
Rasio, F. A., & Shapiro, S. L. (1991) · The Astrophysical Journal · doi:10.1086/170385 · Cited by 108 · see citing works
Generating Hot Gas in Simulations of Disk-Galaxy Major Mergers
Cox, T. J., Primack, J., Jonsson, P., et al. (2004) · The Astrophysical Journal · doi:10.1086/421905 · Cited by 105 · see citing works
TreePM: A code for cosmological N-body simulations
Bagla, J. S. (2002) · Journal of Astrophysics and Astronomy · doi:10.1007/bf02702282 · Cited by 104 · see citing works
Marri, S., & White, S. D. M. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.06984.x · Cited by 100 · see citing works
GOTPM: a parallel hybrid particle-mesh treecode
Dubinski, J., Kim, J., Park, C., et al. (2003) · New Astronomy · doi:10.1016/j.newast.2003.08.002 · Cited by 91 · see citing works
Bode, P. W., & Ostriker, J. P. (2003) · The Astrophysical Journal Supplement Series · doi:10.1086/345538 · Cited by 90 · see citing works
Softened Lagrangian hydrodynamics for cosmology
Gnedin, N. Y. (1995) · The Astrophysical Journal Supplement Series · doi:10.1086/192141 · Cited by 90 · see citing works
Shock‐heated Gas in the Large‐Scale Structure of the Universe
Kang, H., Ryu, D., Cen, R., & Song, D. (2005) · The Astrophysical Journal · doi:10.1086/426931 · Cited by 88 · see citing works
The Tree Particle‐Mesh N ‐Body Gravity Solver
Bode, P. W., Ostriker, J. P., & Xu, G. (2000) · The Astrophysical Journal Supplement Series · doi:10.1086/313398 · Cited by 82 · see citing works
Cen, R., & Ostriker, J. P. (1993) · The Astrophysical Journal · doi:10.1086/173321 · Cited by 78 · see citing works
The radial structure of galaxy groups and clusters
Ascasíbar, Y., Yepes, G., Müller, V., et al. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2003.07116.x · Cited by 77 · see citing works
Formation of Cool Cores in Galaxy Clusters via Hierarchical Mergers
Motl, P. M., Burns, J. O., Loken, C., et al. (2004) · The Astrophysical Journal · doi:10.1086/381566 · Cited by 75 · see citing works
A High‐Resolution Adaptive Moving Mesh Hydrodynamic Algorithm
Pen, U. (1998) · The Astrophysical Journal Supplement Series · doi:10.1086/313074 · Cited by 75 · see citing works
Cosmological Adaptive Mesh Refinement
Norman, M. L., & Bryan, G. L. (1999) · Astrophysics and space science library · doi:10.1007/978-94-011-4780-4_3 · Cited by 74 · see citing works
Accretion of cool stellar winds on to Sgr A*: another puzzle of the Galactic Centre?
Cuadra, J., Nayakshin, S., Springel, V., & Matteo, T. D. (2005) · Monthly Notices of the Royal Astronomical Society Letters · doi:10.1111/j.1745-3933.2005.00045.x · Cited by 69 · see citing works
Self-citationJernigan, J. G., & Porter, D. H. (1989) · The Astrophysical Journal Supplement Series · doi:10.1086/191400 · Cited by 63 · see citing works
Analysis of galaxy formation with hydrodynamics
Tissera, P. B., Lambas, D. G., & Abadi, M. G. (1997) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/286.2.384 · Cited by 61 · see citing works
Numerical and analytical predictions for the large-scale Sunyaev-Zel’dovich effect
Refregier, A. R., & Teyssier, R. (2002) · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · doi:10.1103/physrevd.66.043002 · Cited by 57 · see citing works
Metallicity Evolution of Damped Lyα Systems in ΛCDM Cosmology
Cen, R., Ostriker, J. P., Prochaska, J. X., & Wolfe, A. M. (2003) · The Astrophysical Journal · doi:10.1086/378881 · Cited by 55 · see citing works
A new multidimensional adaptive mesh refinement hydro + gravity cosmological code
Quilis, V. (2004) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2004.08040.x · Cited by 47 · see citing works
Performance characteristics of TreePM codes
Bagla, J. S., & Ray, S. (2003) · New Astronomy · doi:10.1016/s1384-1076(03)00056-3 · Cited by 39 · see citing works
Serna, A., Alimi, J., & Chièze, J.-P. (1996) · The Astrophysical Journal · doi:10.1086/177109 · Cited by 39 · see citing works
The entropy distribution in clusters: evidence of feedback?
Kay, S. T. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2004.07388.x · Cited by 37 · see citing works
Conservation Laws in Smooth Particle Hydrodynamics: The DEVA Code
Serna, A., Domínguez-Tenreiro, R., & Sáiz, A. (2003) · The Astrophysical Journal · doi:10.1086/378629 · Cited by 36 · see citing works
The angular momentum of gas in protogalaxies -- II. The impact of pre-heating
van den Bosch, F. C., Abel, T., & Hernquist, L. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-2966.2003.07079.x · Cited by 35 · see citing works
Discreteness Noise versus Force Errors in N-Body Simulations
Hernquist, L., Hut, P., & Makino, J. (1993) · The Astrophysical Journal · doi:10.1086/186706 · Cited by 34 · see citing works
A free Lagrange method for gas dynamics
Whitehurst, R. (1995) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/277.2.655 · Cited by 30 · see citing works
MAGNETIC FIELD IN THE LOCAL UNIVERSE AND THE PROPAGATION OF UHECRS
Dolag, K., Grasso, D., Springel, V., et al. (2004) · Journal of The Korean Astronomical Society · doi:10.5303/jkas.2004.37.5.427 · Cited by 16 · see citing works
Self-citationTime stepping N-body simulationsPreprint
Quinn, T., Katz, N., Stadel, J., et al. (1997) · arXiv (Cornell University) · doi:10.48550/arxiv.astro-ph/9710043 · Cited by 14 · see citing works
The Structure of Isothermal, Self‐gravitating, Stationary Gas Spheres for Softened Gravity
Sommer‐Larsen, J., Vedel, H., & Hellsten, U. (1998) · The Astrophysical Journal · doi:10.1086/305739 · Cited by 10 · see citing works
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- [14]14. Bryan G. L., Norman M. L., 1997, in Clarke D. A., West M. J., eds, ASP Conf. Ser. Vol. 123, Computational Astrophysics, 12th Kingston Meeting on Theoretical Astrophysics. Astron. Soc. Pac., San Francisco, p. 363
- [50]50. Hockney R. W., Eastwood J. W., 1981, Computer Simulation Using Particles. McGraw-Hill, New York
- [78]78. Norman M. L., Bryan G. L., 1999, in Miyama S. M., Tomisaka K., Hanawa T., eds, ASSL Vol. 240, Numerical Astrophysics. Kluwer Academic, Boston, MA, p.
- [80]80. O'Shea B. W., Bryan G., Bordner J., Norman M., Abel T., Harkness R., Kritsuk A., 2005b, in Plewa T., Linde T., Weirs V. G., eds, Adap- tive Mesh Refinement -Theory and Applications, Springer Lecture Notes in Computational Science and Engineering Vol. 41. Springer, Berlin
- [88]88. Refregier A., Teyssier R., 2002, Phys. Rev. D, 66(4), 043002
- [103]103. Stadel J. G., 2001, Ph.D. Thesis, University of Washington
- [113]113. Warren M. S., Salmon J. K., 1993, in Supercomputing '93. IEEE Computer Society Press, Los Alamitos, CA, p.
- [115]115. White S. D. M., 1996, in Schaefer R., Silk J., Spiro M., Zinn-Justin J., eds, Cosmology and Large-Scale Structure. Elsevier, Amsterdam (astro- ph/9410043)
Cited by
Sorted by citations
The EAGLE project: simulating the evolution and assembly of galaxies and their environments
Schaye, J., Crain, R. A., Bower, R. G., Furlong, M., Schaller, M., Theuns, T., Dalla Vecchia, C., Frenk, C. S., McCarthy, I. G., Helly, J. C., et al. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu2058 · Cited by 3,601 · see citing works
Alam, S., Ata, M., Bailey, S., Beutler, F., Bizyaev, D., Blazek, J. A., Bolton, A. S., Brownstein, J. R., Burden, A., Chuang, C.-H., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx721 · Cited by 3,056 · see citing works
THE AVERAGE STAR FORMATION HISTORIES OF GALAXIES IN DARK MATTER HALOS FROM <i>z</i> = 0-8
Behroozi, P. S., Wechsler, R. H., & Conroy, C. (2013) · The Astrophysical Journal · doi:10.1088/0004-637x/770/1/57 · Cited by 2,167 · see citing works
The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations
Crain, R. A., Schaye, J., Bower, R. G., Furlong, M., Schaller, M., Theuns, T., Dalla Vecchia, C., Frenk, C. S., McCarthy, I. G., Helly, J. C., et al. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv725 · Cited by 1,451 · see citing works
Co-formation of the disc and the stellar halo★
Belokurov, V, Erkal, D., Evans, N. W., Koposov, S. E., & Deason, A. J. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty982 · Cited by 1,020 · see citing works
MultiDark simulations: the story of dark matter halo concentrations and density profiles
Klypin, A., Yepes, G., Gottlöber, S., Prada, F., & Heß, S. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw248 · Cited by 970 · see citing works
Navarro, J. F., Ludlow, A., Springel, V., Wang, J., Vogelsberger, M., White, S. D. M., Jenkins, A., Frenk, C. S., & Helmi, A. (2010) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2009.15878.x · Cited by 860 · see citing works
Self-citationThe statistics of CDM halo concentrations
Neto, A. F., Gao, L., Bett, P., Cole, S., Navarro, J. F., Frenk, C. S., White, S. D. M., Springel, V., & Jenkins, A. (2007) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2007.12381.x · Cited by 764 · see citing works
Self-citationThe Auriga Project: the properties and formation mechanisms of disc galaxies across cosmic time
Grand, R. J. J., Gómez, F. A., Marinacci, F., Pakmor, R., Springel, V., Campbell, D. J. R., Frenk, C. S., Jenkins, A., & White, S. D. M. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx071 · Cited by 557 · see citing works
Self-citationDark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration
Amon, A., Gruen, D., Troxel, M. A., MacCrann, N., Dodelson, S., Choi, A., Doux, C., Secco, L. F., Samuroff, S., Krause, E., et al. (2022) · Physical Review D · doi:10.1103/physrevd.105.023514 · Cited by 437 · see citing works
Evolution of galaxy stellar masses and star formation rates in the eagle simulations
Furlong, M., Bower, R. G., Theuns, T., Schaye, J., Crain, R. A., Schaller, M., Dalla Vecchia, C., Frenk, C. S., McCarthy, I. G., Helly, J., et al. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv852 · Cited by 402 · see citing works
Baryon effects on the internal structure of ΛCDM haloes in the EAGLE simulations
Schaller, M., Frenk, C. S., Bower, R. G., Theuns, T., Jenkins, A., Schaye, J., Crain, R. A., Furlong, M., Dalla Vecchia, C., & McCarthy, I. G. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv1067 · Cited by 375 · see citing works
Walch, S., Girichidis, P., Naab, T., Gatto, A., Glover, S. C. O., Wünsch, R., Klessen, R. S., Clark, P. C., Peters, T., Derigs, D., et al. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv1975 · Cited by 366 · see citing works
“However, Springel (2005) shows that the worst-case errors, resulting from situations when the target cell is inside the contributing node, can be avoided by introducing an additional criterion that does not allow the target cell lie within a volume of the node increased by a certain factor, ηSB.”
BackgroundMethodThe milky way total mass profile as inferred from Gaia DR2
Cautun, M., Benítez-Llambay, A., Deason, A. J., Frenk, C. S., Fattahi, A., Gómez, F. A., Grand, R. J. J., Oman, K. A., Navarro, J. F., & Simpson, C. M. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa1017 · Cited by 332 · see citing works
“The APOSTLE simulations were run with a modified version of the Gadget 3 code (Springel 2005) with the reference EAGLE galaxy formation models (Schaye et al. 2015; Crain et al. 2015), which were calibrated to reproduce the galaxy mass function, galaxy sizes and the relation between black hole mass…”
MethodThe Milky Way total mass profile as inferred from Gaia DR2
Cautun, M., Benitez-Llambay, A., Deason, A. J., Frenk, C. S., Fattahi, A., Gómez, F. A., Grand, R. J. J., Oman, K. A., Navarro, J. F., & Simpson, C. M. (2019) · arXiv · doi:10.48550/arxiv.1911.04557 · Cited by 335
The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations
Villaescusa-Navarro, F., Anglés-Alcázar, D., Genel, S., Spergel, D. N., S. Somerville, R., Dave, R., Pillepich, A., Hernquist, L., Nelson, D., Torrey, P., et al. (2021) · The Astrophysical Journal · doi:10.3847/1538-4357/abf7ba · Cited by 304 · see citing works
Mackereth, J. T., Schiavon, R. P., Pfeffer, J., Hayes, C. R., Bovy, J., Anguiano, B., Prieto, C. A., Hasselquist, S., Holtzman, J., Johnson, J. A., et al. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty2955 · Cited by 285 · see citing works
Colours and luminosities of <i>z</i> = 0.1 galaxies in the eagle simulation
Trayford, J. W., Theuns, T., Bower, R. G., Schaye, J., Furlong, M., Schaller, M., Frenk, C. S., Crain, R. A., Vecchia, C. D., & McCarthy, I. G. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv1461 · Cited by 251 · see citing works
Pfeffer, J., Kruijssen, J. M. D., Crain, R. A., & Bastian, N. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx3124 · Cited by 243 · see citing works
Laporte, C. F. P., Johnston, K. V., Gómez, F. A., Garavito-Camargo, N., & Besla, G. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty1574 · Cited by 230 · see citing works
Multi-physics simulations using a hierarchical interchangeable software interface
Portegies Zwart, S. F., McMillan, S. L. W., van Elteren, A., Pelupessy, F. I., & de Vries, N. (2013) · Computer Physics Communications · doi:10.1016/j.cpc.2012.09.024 · Cited by 228 · see citing works
The Astrophysical Multipurpose Software Environment
Pelupessy, F. I., van Elteren, A., de Vries, N., McMillan, S. L. W., Drost, N., & Portegies Zwart, S. F. (2013) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201321252 · Cited by 222 · see citing works
Tumlinson, J. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/708/2/1398 · Cited by 223 · see citing works
The apostle project: Local Group kinematic mass constraints and simulation candidate selection
Fattahi, A., Navarro, J. F., Sawala, T., Frenk, C. S., Oman, K. A., Crain, R. A., Furlong, M., Schaller, M., Schaye, J., Theuns, T., et al. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv2970 · Cited by 214 · see citing works
Duffy, A. R., Schaye, J., Kay, S. T., Vecchia, C. D., Battye, R. A., & Booth, C. M. (2010) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2010.16613.x · Cited by 186 · see citing works
Gordon, K. D., Bailin, J., Engelbracht, C. W., Rieke, G. H., Misselt, K. A., Latter, W. B., Young, E. T., Ashby, M. L. N., Barmby, P., Gibson, B. K., et al. (2006) · The Astrophysical Journal · doi:10.1086/501046 · Cited by 182 · see citing works
Davies, J. J., Crain, R. A., Oppenheimer, B. D., & Schaye, J. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz3201 · Cited by 167 · see citing works
Cosmological constraints with deep learning from KiDS-450 weak lensing maps
Fluri, J., Kacprzak, T., Lucchi, A., Refregier, A., Amara, A., Hofmann, T., & Schneider, A. (2019) · Physical Review D · doi:10.1103/physrevd.100.063514 · Cited by 151 · see citing works
Non-Gaussian information from weak lensing data via deep learning
Gupta, A., Matilla, J. M. Z., Hsu, D., & Haiman, Z. (2018) · Physical Review D · doi:10.1103/physrevd.97.103515 · Cited by 128 · see citing works
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
Mustafa, M., Bard, D., Bhimji, W., Lukić, Z., Al-Rfou, R., & Kratochvil, J. M. (2019) · Computational Astrophysics and Cosmology · doi:10.1186/s40668-019-0029-9 · Cited by 127 · see citing works
Deason, A. J., Mao, Y.-Y., & Wechsler, R. H. (2016) · The Astrophysical Journal · doi:10.3847/0004-637x/821/1/5 · Cited by 123 · see citing works
Simulations of the formation of stellar discs in the Galactic Centre via cloud-cloud collisions
Hobbs, A., & Nayakshin, S. (2009) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2008.14359.x · Cited by 116 · see citing works
Warps and waves in the stellar discs of the Auriga cosmological simulations
Gómez, F. A., White, S. D. M., Grand, R. J. J., Marinacci, F., Springel, V., & Pakmor, R. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw2957 · Cited by 105 · see citing works
Self-citationThe Copernicus Complexio: a high-resolution view of the small-scale Universe
Hellwing, W. A., Frenk, C. S., Cautun, M., Bose, S., Helly, J., Jenkins, A., Sawala, T., & Cytowski, M. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw214 · Cited by 107 · see citing works
Simulated Milky Way analogues: implications for dark matter direct searches
Bozorgnia, N., Calore, F., Schaller, M., Lovell, M., Bertone, G., Frenk, C. S., Crain, R. A., Navarro, J. F., Schaye, J., & Theuns, T. (2016) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2016/05/024 · Cited by 103 · see citing works
Kruijssen, J. M. D., Schruba, A., Hygate, A. P. S., Hu, C.-Y., Haydon, D. T., & Longmore, S. N. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty1128 · Cited by 103 · see citing works
The life cycle of the Central Molecular Zone – I. Inflow, star formation, and winds
Armillotta, L., Krumholz, M. R., Di Teodoro, E. M., & McClure-Griffiths, N. M. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2880 · Cited by 85 · see citing works
Cosmological constraints from noisy convergence maps through deep learning
Fluri, J., Kacprzak, T., Refregier, A., Amara, A., Lucchi, A., & Hofmann, T. (2018) · Physical Review D · doi:10.1103/physrevd.98.123518 · Cited by 83 · see citing works
Properties of H i discs in the Auriga cosmological simulations
Marinacci, F., Grand, R. J. J., Pakmor, R., Springel, V., Gómez, F. A., Frenk, C. S., & White, S. D. M. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw3366 · Cited by 75 · see citing works
Self-citationPredicted Extension of the Sagittarius Stream to the Milky Way Virial Radius
Dierickx, M. I. P., & Loeb, A. (2017) · The Astrophysical Journal · doi:10.3847/1538-4357/836/1/92 · Cited by 74 · see citing works
Alignments between galaxies, satellite systems and haloes
Shao, S., Cautun, M., Frenk, C. S., Gao, L., Crain, R. A., Schaller, M., Schaye, J., & Theuns, T. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw1247 · Cited by 61 · see citing works
Streams in the Aquarius stellar haloes
Gómez, F. A., Helmi, A., Cooper, A. P., Frenk, C. S., Navarro, J. F., & White, S. D. M. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt1838 · Cited by 56 · see citing works
Empirical constraints on the formation of early-type galaxies
Moster, B. P., Naab, T., & White, S. D. M. (2019) · arXiv · doi:10.48550/arxiv.1910.09552 · Cited by 55
Linear and non-linear Modified Gravity forecasts with future surveys
Casas, S., Kunz, M., Martinelli, M., & Pettorino, V. (2017) · Physics of the Dark Universe · doi:10.1016/j.dark.2017.09.009 · Cited by 48 · see citing works
Fossil stellar streams and their globular cluster populations in the E-MOSAICS simulations
Hughes, M. E., Pfeffer, J., Martig, M., Bastian, N., Crain, R. A., Kruijssen, J. M. D., & Reina-Campos, M. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty2889 · Cited by 46 · see citing works
On the dissection of degenerate cosmologies with machine learning
Merten, J., Giocoli, C., Baldi, M., Meneghetti, M., Peel, A., Lalande, F., Starck, J.-L., & Pettorino, V. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz972 · Cited by 45 · see citing works
Dynamical mass inference of galaxy clusters with neural flows
Kodi Ramanah, D., Wojtak, R., Ansari, Z., Gall, C., & Hjorth, J. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa2886 · Cited by 37 · see citing works
Neural physical engines for inferring the halo mass distribution function
Charnock, T., Lavaux, G., Wandelt, B. D., Sarma Boruah, S., Jasche, J., & Hudson, M. J. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa682 · Cited by 26 · see citing works
Dark matter response to galaxy assembly history
Artale, M. C., Pedrosa, S. E., Tissera, P. B., Cataldi, P., & Di Cintio, A. (2019) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201834096 · Cited by 19 · see citing works
Sutton, P. J. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz563 · Cited by 5 · see citing works
“Gadget-2 uses a smoothing kernel to reduce gravitational forces within a set radius of particles.”
MethodA Self-Gravitating Exoring Around J1407b and Implications for In-Situ Exomoon Formation
Sutton, P. J., Albery, B., & Muff, J. (2022) · Frontiers in Astronomy and Space Sciences · doi:10.3389/fspas.2022.819933 · Cited by 2 · see citing works
“Numerical integration is carried out using Gadget-2 (Springel 2005), which uses a hierarchical multipole expansion to deal with gravitational interactions between particles in the form of a treewalk to improve computational costs.”
MethodOn the Tidal Environment of an Outwardly Migrating F Ring
Sutton, P. J. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty995 · Cited by 2 · see citing works
- Authors
- Springel, V.
- Affiliations
- Max Planck Institute for Astrophysics (DE)
- Corresponding author
- Springel, Volker
- ORCID
- Springel, Volker
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-12
- Volume
- 364
- Issue
- 4
- Pages
- 1105-1134
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W2100188138
- Cited by
- 6,368
- References
- 111
- Citations by year
- 2026: 152 · 2025: 291 · 2024: 326 · 2023: 315 · 2022: 347 · 2021: 362 · 2020: 392 · 2019: 409 · 2018: 369 · 2017: 342 · 2016: 443 · 2015: 403 · 2014: 322 · 2013: 332 · 2012: 359
- FWCI
- 84.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Monthly Notices of the Royal Astronomical Society (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
- Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics Simulations and Interactions
- Keywords
- GADGET-2, cosmological simulations, smoothed particle hydrodynamics, N-body simulations, adaptive time stepping, parallel computing, dark matter, radiative cooling, star formation
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