Houdini for Astrophysical Visualization
arXiv:1701.01730 · doi:10.1088/1538-3873/aa51b3
Abstract
The rapid growth in scale and complexity of both computational and observational astrophysics over the past decade necessitates efficient and intuitive methods for examining and visualizing large datasets. Here we discuss some newly developed tools to import and manipulate astrophysical data into the three dimensional visual effects software, {\it Houdini}. This software is widely used by visual effects artists, but a recently implemented Python API now allows astronomers to more easily use Houdini as a visualization tool. This paper includes a description of features, work flow, and various example visualizations. The project website, www.ytini.com, contains Houdini tutorials and links to the Python script Bitbucket repository aimed at a scientific audience to simplify the process of importing and rendering astrophysical data.
13 pages, 9 figures; accepted for publication in PASP Special Focus Issue: Techniques and Methods for Astrophysical Data Visualization
References in corpus (4)
- The three-dimensional structure of the Eta Carinae Homunculus
- Galaxy emission line classification using 3D line ratio diagrams
- Modeling the initiation of the 2006 December 13 coronal mass ejection in AR 10930: the structure and dynamics of the erupting flux rope
- Run-time extensibility and librarization of simulation software
Cited by in corpus (8)
- Not So Heavy Metals: Black Hole Feedback Enriches The Circumgalactic Medium
- The Catalogue for Astrophysical Turbulence Simulations (CATS)
- Cinematic Visualization of Multiresolution Data: Ytini for Adaptive Mesh Refinement in Houdini
- Real-time colouring and filtering with graphics shaders
- Touching the Stars: Using High-Resolution 3D Printing to Visualize Stellar Nurseries
- Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth
- A New View of Observed Galaxies through 3D Modelling and Visualisation
- Editorial: Techniques and Methods for Astrophysical Data Visualization