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In this paper, we extend our Smooth Particle Hydrodynamics (SPH) impact code to include the effect of porosity at a sub-resolution scale by adapting the so-called $P-alpha$ model. Many small bodies in the different populations of asteroids…

天体物理学 · 物理学 2009-11-13 M. Jutzi , W. Benz , P. Michel

Smoothed Particle Hydrodynamics (SPH) is a ubiquitous numerical method for solving the fluid equations, and is prized for its conservation properties, natural adaptivity, and simplicity. We introduce the Sphenix SPH scheme, which was…

星系天体物理 · 物理学 2021-11-17 Josh Borrow , Matthieu Schaller , Richard G. Bower , Joop Schaye

The fragmentation of shocked flows in a thermally bistable medium provides a natural mechanism to form turbulent cold clouds as precursors to molecular clouds. Yet because of the large density and temperature differences and the range of…

星系天体物理 · 物理学 2015-05-27 Fabian Heitsch , Thorsten Naab , Stefanie Walch

We introduce a new suite of simulations, "The Cloud Factory", which self-consistently forms molecular cloud complexes at high enough resolution to resolve internal substructure (up to 0.25 Msol in mass) all while including galactic-scale…

About 10% of the observed asteroids have rotational periods lower than P = 3 h and they seem to be relatively close to the spin barrier. Yet, the rotation has often been neglected in simulations of asteroid collisions. To determine the…

地球与行星天体物理 · 物理学 2019-09-18 P. Ševeček , M. Brož , M. Jutzi

We show that hydrodynamic turbulent cloud simulations naturally produce large filaments made up of a network of smaller and coherent sub-filaments. Such simulations resemble observations of filaments and fibres in nearby molecular clouds.…

星系天体物理 · 物理学 2015-12-09 Rowan J. Smith , Simon C. O. Glover , Ralf S. Klessen , Gary A. Fuller

The smoothed-particle hydrodynamics (SPH) technique is a numerical method for solving gas-dynamical problems. It has been applied to simulate the evolution of a wide variety of astrophysical systems. The method has a second-order accuracy,…

天体物理仪器与方法 · 物理学 2016-08-08 Domingo García-Senz , Rubén M. Cabezón , José A. Escartín , Kevin Ebinger

Star formation in molecular clouds is clumpy, hierarchically subclustered. Fractal structure also emerges in hydro-dynamical simulations of star-forming clouds. Simulating the formation of realistic star clusters with hydro-dynamical…

We study star cluster formation in various environments with different metallicities and column densities by performing a suite of three-dimensional radiation hydrodynamics simulations. We find that the photoionization feedback from massive…

We present and test a general-purpose code, called PPASPH, for evolving self-gravitating fluids in astrophysics, both with and without a collisionless component. In PPASPH, hydrodynamical properties are computed by using the SPH (Smoothed…

天体物理学 · 物理学 2009-10-28 Arturo Serna , Jean-Michel Alimi , Jean-Pierre Chieze

We investigate the means by which cold gas can accrete onto Milky Way mass galaxies from a hot corona of gas, using a new smoothed particle hydrodynamics code, 'SPHS'. We find that the 'cold clumps' seen in many classic SPH simulations in…

星系天体物理 · 物理学 2015-06-05 Alexander Hobbs , Justin Read , Chris Power , David Cole

One of the computational challenges of cluster formation simulations is resolving individual stars and simulating massive clusters with masses of more than $10^4 M_{\odot}$ without gravitational softening. Combining direct $N$-body code…

星系天体物理 · 物理学 2021-07-07 Michiko S. Fujii , Takayuki R. Saitoh , Yutaka Hirai , Long Wang

Here we examine the evolution of irradiated clouds using the Smoothed Particle Hydrodynamics ({\small SPH}) algorithm coupled with a ray-tracing scheme that calculates the position of the ionisation-front at each timestep. We present…

星系天体物理 · 物理学 2015-06-11 S. Anathpindika , H. C. Bhatt

We present a practical guide to Smoothed Particle Hydrodynamics (\SPH) and its application to astrophysical problems. Although remarkably robust, \SPH\ must be used with care if the results are to be meaningful since the accuracy of \SPH\…

天体物理学 · 物理学 2007-05-23 T. J. Martin , F. R. Pearce , P. A. Thomas

We present stellar_wind.py, a module that provides multiple methods of simulating stellar winds using smoothed particle hydrodynamics codes (SPH) within the astrophysical multipurpose software environment (AMUSE) framework. With the simple…

太阳与恒星天体物理 · 物理学 2019-05-22 Edwin van der Helm , Martha I. Saladino , Simon Portegies Zwart , Onno Pols

We present a Fortran 95 code for simulating the evolution of astrophysical systems using particles to represent the underlying fluid flow. The code is designed to be versatile, flexible and extensible, with modular options that can be…

天体物理学 · 物理学 2009-10-02 M. Wetzstein , Andrew F. Nelson , T. Naab , A. Burkert

The implementation of star formation and stellar feedback in cosmological simulations plays a critical role in shaping galaxy properties. In the first paper of the series, we presented a new method to model star formation as a collection of…

星系天体物理 · 物理学 2018-07-25 Hui Li , Oleg Y. Gnedin , Nickolay Y. Gnedin

Particle tagging is an efficient, but approximate, technique for using cosmological N-body simulations to model the phase-space evolution of the stellar populations predicted, for example, by a semi-analytic model of galaxy formation. We…

星系天体物理 · 物理学 2017-08-21 Andrew P. Cooper , Shaun Cole , Carlos S. Frenk , Theo Le Bret , Andrew Pontzen

Dynamical expansion of H II regions around star clusters plays a key role in dispersing the surrounding dense gas and therefore in limiting the efficiency of star formation in molecular clouds. We use a semi-analytic method and numerical…

星系天体物理 · 物理学 2016-03-23 Jeong-Gyu Kim , Woong-Tae Kim , Eve C. Ostriker

We present a new hybrid Smoothed Particle Hydrodynamics (SPH)/N-body method for modelling the collisional stellar dynamics of young clusters in a live gas background. By deriving the equations of motion from Lagrangian mechanics we obtain a…

天体物理仪器与方法 · 物理学 2015-06-12 D. A. Hubber , R. J. Allison , R. Smith , S. P. Goodwin