activity
20092020
most citedEnzo: An Adaptive Mesh Refinement Code for Astrophysics

869 citations · 2.4k across the 17 of their papers we have counts for

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Showing astro-ph.IMShow all

5 papers · 1 filter

astro-ph.IM2018★ 33 cited

unyt: Handle, manipulate, and convert data with units in Python

Nathan J. Goldbaum, John A. ZuHone, Matthew J. Turk +2

Software that processes real-world data or that models a physical system must have some way of managing units. While simple approaches like the understood convention that all data…

astro-ph.IM2017★ 90 cited

GAMER-2: a GPU-accelerated adaptive mesh refinement code -- accuracy, performance, and scalability

Hsi-Yu Schive, John A. ZuHone, Nathan J. Goldbaum +3

We present GAMER-2, a GPU-accelerated adaptive mesh refinement (AMR) code for astrophysics. It provides a rich set of features, including adaptive time-stepping, several hydrodynam…

astro-ph.IM2017★ 1 cited

Extracting Insights from Astrophysics Simulations

Nathan J Goldbaum

Simulations inform all aspects of modern astrophysical research, ranging in scale from 1D and 2D test problems that can run in seconds on an astronomer's laptop all the way to larg…

astro-ph.IM2016★ 128 cited

Forward Modeling of Large-Scale Structure: An open-source approach with Halotools

Andrew Hearin, Duncan Campbell, Erik Tollerud +11

We present the first stable release of Halotools (v0.2), a community-driven Python package designed to build and test models of the galaxy-halo connection. Halotools provides a mod…

astro-ph.IM2013★ 869 cited

Enzo: An Adaptive Mesh Refinement Code for Astrophysics

The Enzo Collaboration, Greg L. Bryan, Michael L. Norman +26

This paper describes the open-source code Enzo, which uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical flui…