# Phantom: A smoothed particle hydrodynamics and magnetohydrodynamics code   for astrophysics

**Authors:** Daniel J. Price, James Wurster, Terrence S. Tricco, Chris Nixon,, St\'even Toupin, Alex Pettitt, Conrad Chan, Daniel Mentiplay, Guillaume, Laibe, Simon Glover, Clare Dobbs, Rebecca Nealon, David Liptai, Hauke Worpel,, Cl\'ement Bonnerot, Giovanni Dipierro, Giulia Ballabio, Enrico Ragusa,, Christoph Federrath, Roberto Iaconi, Thomas Reichardt, Duncan Forgan, Mark, Hutchison, Thomas Constantino, Ben Ayliffe, Kieran Hirsh, Giuseppe Lodato

arXiv: 1702.03930 · 2018-10-17

## TL;DR

Phantom is a versatile, efficient, and open-source smoothed particle hydrodynamics and magnetohydrodynamics code designed for diverse astrophysical simulations, including stellar, galactic, and planetary phenomena.

## Contribution

It introduces a comprehensive, modular, and optimized code with new modules for MHD, self-gravity, chemistry, dust, and external forces, tailored for astrophysical research.

## Key findings

- Validated core algorithms through extensive testing.
- Demonstrated applications in accretion disks and turbulence studies.
- Enabled complex simulations with multiple physical processes.

## Abstract

We present Phantom, a fast, parallel, modular and low-memory smoothed particle hydrodynamics and magnetohydrodynamics code developed over the last decade for astrophysical applications in three dimensions. The code has been developed with a focus on stellar, galactic, planetary and high energy astrophysics and has already been used widely for studies of accretion discs and turbulence, from the birth of planets to how black holes accrete. Here we describe and test the core algorithms as well as modules for magnetohydrodynamics, self-gravity, sink particles, H_2 chemistry, dust-gas mixtures, physical viscosity, external forces including numerous galactic potentials as well as implementations of Lense-Thirring precession, Poynting-Robertson drag and stochastic turbulent driving. Phantom is hereby made publicly available.

## Full text

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## Figures

82 figures with captions in the complete paper: https://tomesphere.com/paper/1702.03930/full.md

## References

399 references — full list in the complete paper: https://tomesphere.com/paper/1702.03930/full.md

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Source: https://tomesphere.com/paper/1702.03930