Inviscid smoothed particle hydrodynamics

By W. Dehnen, L. Cullen. 2010

203 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8e2a017862ef9d4e1668a5f6a0373c222b2134dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

Citations in the corpus

The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations (2015, methodology): “…comprise an implementation of the pressure-entropy formulation of SPH derived by Hopkins (2013), the artificial viscosity switch proposed by Cullen & Dehnen (2010), an artificial conduction switch similar to that proposed by Price (2008), the C2 smoothing kernel of Wendland (1995), and…”
FIRE-2 simulations: physics versus numerics in galaxy formation (2017, methodology): “…using the moving-leastsquares approach (as in García-Senz et al. 2012; Rosswog 2015); higher-order switches to minimize the artificial viscosity following Cullen & Dehnen (2010) with further improvements described in Hu et al. (2014) and Hopkins (2015); and added “artificial conductivity”…”
Galaxies on FIRE (Feedback In Realistic Environments): stellar feedback explains cosmologically inefficient star formation (2013, methodology): “We adopt the “inviscid SPH” viscosity prescription with higher-order switches from Cullen & Dehnen (2010).”
Shocking results without shocks: Subsonic turbulence in smoothed particle hydrodynamics and moving-mesh simulations (2011, methodology): “…the culprit lies simply in the artificial viscosity parameterization, and that schemes that dynamically reduce the viscosity away from shocks (e.g. Morris 1997; Dolag et al. 2005; Cullen & Dehnen 2010) do much better and have no problem to reproduce a Kolmogorov cascade also in the subsonic regime.”
The EAGLE project: Simulating the evolution and assembly of galaxies and their environments (2014, methodology): “…in Appendix A, we make use of the conservative pressure-entropy formulation of SPH derived by Hopkins (2013), the artificial viscosity switch from Cullen & Dehnen (2010), an artificial conduction switch similar to that of Price (2008), the C2 Wendland (1995) kernel and the time step limiters of…”
A general class of Lagrangian smoothed particle hydrodynamics methods and implications for fluid mixing problems (2012, methodology): “Comparisons of such schemes are well-studied and what we implement here is still not the most sophisticated possible treatment, although it still considerably reduces artificial viscosity away from shocks (for more detailed studies, see e.g. Cullen & Dehnen 2010).”
MUFASA: Galaxy Formation Simulations With Meshless Hydrodynamics (2016, methodology): “SPH requires an artificial viscosity, for which we use the Gizmo default Cullen & Dehnen (2010) viscosity as described in Hopkins (2015).”
Smoothed particle hydrodynamics and magnetohydrodynamics (2010, methodology): “More sophisticated switches for shock detection are also possible, with a promising recent alternative suggested by Cullen and Dehnen (2010).”
Molecular hydrogen abundances of galaxies in the EAGLE simulations (2015, background): “…the main features of Anarchy are (i) the pressure-entropy formulation of SPH described in Hopkins (2013), (ii) the artificial viscosity switch of Cullen & Dehnen (2010), (iii) an artificial conduction switch described in Price (2008), (iv) a C2 Wendland (1995) kernel with 58 neighbours to…”
The eagle simulations of galaxy formation: Public release of halo and galaxy catalogues (2015, methodology): “, 2015a), and use the C2 kernel of Wendland (1995), the pressure–entropy formulation of SPH of Hopkins (2013), the time-step limiters introduced by Durier and Dalla Vecchia (2012), the artificial viscosity switch of Cullen and Dehnen (2010) and a weak thermal conduction term of the form proposed by ”
Evolution of galaxy stellar masses and star formation rates in the eagle simulations (2014, background): “MNRAS 450, 4486–4504 (2015) (ii) The artificial viscosity switch of Cullen & Dehnen (2010) and an artificial conduction switch described by Price (2008).”
Moving mesh cosmology: numerical techniques and global statistics (2011, background): “Also, a number of studies focused on the development of improved artificial viscosity parametrizations in SPH codes (Morris 1997; Cullen & Dehnen 2010), with the goal of reducing the numerical viscosity away from shocks.”
Improving the convergence properties of the moving-mesh code AREPO (2015, background): “Using such a set-up in the limit of a pressure-less gas disc is a demanding test problem (Cullen & Dehnen 2010; Hopkins 2014).”
The impact of baryonic physics on the structure of dark matter haloes: the view from the FIRE cosmological simulations (2015, methodology): “We use the artificial viscosity algorithm with a switch from Cullen & Dehnen (2010) which reduces viscosity to close to zero away from shocks and enables accurate shock capturing.”
Colours and luminosities of z = 0.1 galaxies in the eagle simulation (2015, methodology): “…hydrodynamics in GADGET-3 to use the conservative pressure-entropy SPH formulation of Hopkins (2013), the artificial viscosity switch introduced by Cullen & Dehnen (2010), an artificial conduction switch inspired by Price (2008), the C2 kernel from Wendland (1995) and the timestep limiter of…”
Improving convergence in smoothed particle hydrodynamics simulations without pairing instability (2012, methodology): “Recent progress in restricting such dissipation to regions of compressive flow (Cullen & Dehnen 2010; Read & Hayfield 2012) has greatly improved the ability to model contact discontinuities and their instabilities as well as near-inviscid flows.”
Neutral hydrogen in galaxy haloes at the peak of the cosmic star formation history (2014, methodology): “We also implement entropy mixing following Price (2008), using the higher-order dissipation switches described in Cullen & Dehnen (2010).”
The impact of angular momentum on black hole accretion rates in simulations of galaxy formation (2013, methodology): “…are based on the GADGET-3 SPH code (Springel 2005), adding enhancements to reduce the simulation viscosity when the time derivative of the flow divergence is small (Cullen & Dehnen 2010) and to ensure that time steps of particles receiving feedback energy are limited (Durier & Dalla Vecchia 2012).”