yt: A MULTI-CODE ANALYSIS TOOLKIT FOR ASTROPHYSICAL SIMULATION DATA

Journal Article · Fri Jan 14 23:00:00 EST 2011 · Astrophysical Journal, Supplement Series

DOI:https://doi.org/10.1088/0067-0049/192/1/9· OSTI ID:21557073

Turk, Matthew J; Norman, Michael L ^[1]; Smith, Britton D ^[2]; Oishi, Jeffrey S; Abel, Tom ^[3]; Skory, Stephen; Skillman, Samuel W ^[4]

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1. Center for Astrophysics and Space Science, University of California, San Diego, CA (United States)
2. Department of Physics and Astronomy, Michigan State University, East Lansing, MI (United States)
3. Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, 2575 Sand Hill Road, Menlo Park, CA 94025 (United States)
4. Center for Astrophysics and Space Astronomy, University of Colorado, Boulder, CO (United States)

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 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.

• OSTI ID: 21557073
• Journal Information: Astrophysical Journal, Supplement Series, Journal Name: Astrophysical Journal, Supplement Series Journal Issue: 1 Vol. 192; ISSN 0067-0049; ISSN APJSA2
• Country of Publication: United States
• Language: English

Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
ALGORITHMS
ASTROPHYSICS
COSMOLOGY
DATA ANALYSIS
MATHEMATICAL LOGIC
PHYSICS
SIMULATION