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20022026
most citedSPLASH: An interactive visualisation tool for Smoothed Particle Hydrodynamics simulations

757 citations · 12.6k across the 181 of their papers we have counts for

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25 papers · 1 filter

astro-ph.IM2023★ 1 cited

An Integral-based Approach for the Vector Potential in Smoothed Particle Magnetohydrodynamics

Terrence S. Tricco, Daniel J. Price

A new implementation for the time evolution of the magnetic vector potential is obtained for smoothed particle magnetohydrodynamics by considering the induction equation in integra…

astro-ph.IM2020★ 19 cited

A solution to the overdamping problem when simulating dust-gas mixtures with smoothed particle hydrodynamics

Daniel J. Price, Guillaume Laibe

We present a fix to the overdamping problem found by Laibe & Price (2012) when simulating strongly coupled dust-gas mixtures using two different sets of particles using smoothed pa…

astro-ph.IM2019★ 23 cited

Self-triggered radio detection and identification of cosmic air showers with the OVRO-LWA

Ryan Monroe, Andres Romero Wolf, Gregg Hallinan +12

A successful ground array Radio Frequency (RF)-only self-trigger on 10 high-energy cosmic ray events is demonstrated with 256 dual-polarization antennas of the Owens Valley Radio O…

astro-ph.IM2019★ 34 cited

General relativistic smoothed particle hydrodynamics

David Liptai, Daniel J. Price

We present a method for general relativistic smoothed particle hydrodynamics (GRSPH), based on an entropy-conservative form of the general relativistic hydrodynamic equations for a…

astro-ph.IM2018

MULTIGRAIN: Simulating mixtures of multiple dust grains and gas with SPH

Daniel J. Price, Mark Hutchison, Guillaume Laibe

We present MULTIGRAIN, an algorithm for simulating multiple phases of small dust grains embedded in a gas, building on our earlier work in simulating two-phase mixtures of gas and…

astro-ph.IM2018★ 48 cited

MULTIGRAIN: A smoothed particle hydrodynamics algorithm for multiple small dust grains and gas

Mark A. Hutchison, Daniel J. Price, Guillaume Laibe

We present a new algorithm, MULTIGRAIN, for modelling the dynamics of an entire population of small dust grains immersed in gas, typical of conditions that are found in molecular c…