A Multi-Code Analysis Toolkit for Astrophysical Simulation Data
Abstract
The analysis of complex multiphysics astrophysical simulations presents a unique and rapidly growing set of challenges: reproducibility, parallelization, and vast increases in data size and complexity chief among them. In order to meet these challenges, and in order to open up new avenues for collaboration between users of multiple simulation platforms, we present yt (available at http://yt.enzotools.org/), an open source, community-developed astrophysical analysis and visualization toolkit. Analysis and visualization with yt are oriented around physically relevant quantities rather than quantities native to astrophysical simulation codes. While originally designed for handling Enzo's structure adaptive mesh refinement (AMR) data, yt has been extended to work with several different simulation methods and simulation codes including Orion, RAMSES, and FLASH. We report on its methods for reading, handling, and visualizing data, including projections, multivariate volume rendering, multi-dimensional histograms, halo finding, light cone generation and topologically-connected isocontour identification. Furthermore, we discuss the underlying algorithms yt uses for processing and visualizing data, and its mechanisms for parallelization of analysis tasks.
Keywords
Cite
@article{arxiv.1011.3514,
title = {A Multi-Code Analysis Toolkit for Astrophysical Simulation Data},
author = {Matthew J. Turk and Britton D. Smith and Jeffrey S. Oishi and Stephen Skory and Samuel W. Skillman and Tom Abel and Michael L. Norman},
journal= {arXiv preprint arXiv:1011.3514},
year = {2015}
}
Comments
18 pages, 6 figures, emulateapj format. Resubmitted to Astrophysical Journal Supplement Series with revisions from referee. yt can be found at http://yt.enzotools.org/