GADGET

GADGET: a code for collisionless and gasdynamical cosmological simulations. We describe the newly written code GADGET which is suitable both for cosmological simulations of structure formation and for the simulation of interacting galaxies. GADGET evolves self-gravitating collisionless fluids with the traditional N-body approach, and a collisional gas by smoothed particle hydrodynamics. Along with the serial version of the code, we discuss a parallel version that has been designed to run on massively parallel supercomputers with distributed memory. While both versions use a tree algorithm to compute gravitational forces, the serial version of GADGET can optionally employ the special-purpose hardware GRAPE instead of the tree. Periodic boundary conditions are supported by means of an Ewald summation technique. The code uses individual and adaptive timesteps for all particles, and it combines this with a scheme for dynamic tree updates. Due to its Lagrangian nature, GADGET thus allows a very large dynamic range to be bridged, both in space and time. So far, GADGET has been successfully used to run simulations with up to 7.5×107 particles, including cosmological studies of large-scale structure formation, high-resolution simulations of the formation of clusters of galaxies, as well as workstation-sized problems of interacting galaxies. In this study, we detail the numerical algorithms employed, and show various tests of the code. We publicly release both the serial and the massively parallel version of the code.


References in zbMATH (referenced in 41 articles )

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  1. Fair, Rebecca; Guo, Xiaohu; Cui, Tao: Particle sorting for the projection based particle method (2019)
  2. Huang, C.; Long, T.; Li, S. M.; Liu, M. B.: A kernel gradient-free SPH method with iterative particle shifting technology for modeling low-Reynolds flows around airfoils (2019)
  3. Ji, Zhe; Fu, Lin; Hu, Xiangyu Y.; Adams, Nikolaus A.: A new multi-resolution parallel framework for SPH (2019)
  4. Moutsanidis, Georgios; Kamensky, David; Zhang, Duan Z.; Bazilevs, Yuri; Long, Christopher C.: Modeling strong discontinuities in the material point method using a single velocity field (2019)
  5. Cottet, Georges-Henri: Semi-Lagrangian particle methods for high-dimensional Vlasov-Poisson systems (2018)
  6. Deriaz, Erwan; Peirani, Sébastien: Six-dimensional adaptive simulation of the Vlasov equations using a hierarchical basis (2018)
  7. Křížek, M.: Ten arguments against the proclaimed amount of dark matter (2018)
  8. Liu, Chao; Oliynyk, Todd A.: Newtonian limits of isolated cosmological systems on long time scales (2018)
  9. Liu, Chao; Oliynyk, Todd A.: Cosmological Newtonian limits on large spacetime scales (2018)
  10. Frontiere, Nicholas; Raskin, Cody D.; Owen, J. Michael: CRKSPH - A conservative reproducing kernel smoothed particle hydrodynamics scheme (2017)
  11. Barreira, Alexandre: Structure formation in modified gravity cosmologies (2016)
  12. Croker, K. A. S.: ngravs: distinct gravitational interactions in \textscgadget-2 (2016)
  13. Kates-Harbeck, Julian; Totorica, Samuel; Zrake, Jonathan; Abel, Tom: Simplex-in-cell technique for collisionless plasma simulations (2016)
  14. Malhotra, Dhairya; Biros, George: Algorithm 967: a distributed-memory fast multipole method for volume potentials (2016)
  15. Shadloo, M. S.; Oger, G.; Le Touzé, D.: Smoothed particle hydrodynamics method for fluid flows, towards industrial applications: motivations, current state, and challenges (2016)
  16. Sousbie, Thierry; Colombi, Stéphane: \textttColDICE: A parallel Vlasov-Poisson solver using moving adaptive simplicial tessellation (2016)
  17. Tartakovsky, Alexandre M.; Trask, N.; Pan, K.; Jones, B.; Pan, W.; Williams, J. R.: Smoothed particle hydrodynamics and its applications for multiphase flow and reactive transport in porous media (2016)
  18. Crespo, A. J. C.; Domínguez, J. M.; Rogers, B. D.; Gómez-Gesteira, M.; Longshaw, S.; Canelas, R.; Vacondio, R.; Barreiro, A.; García-Feal, O.: DualSPHysics: Open-source parallel CFD solver based on smoothed particle hydrodynamics (SPH) (2015)
  19. Gonnet, Pedro: Efficient and scalable algorithms for smoothed particle hydrodynamics on hybrid shared/distributed-memory architectures (2015)
  20. Powell, Devon; Abel, Tom: An exact general remeshing scheme applied to physically conservative voxelization (2015)

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