We are proud to announce the release of yt version 2.1. This release includes several new features, bug fixes, and numerous improvements to the code base and documentation. At the yt homepage, http://yt.enzotools.org/ , an installation script, a cookbook, documentation and a guide to getting involved can be found.
yt is an analysis and visualization toolkit for Adaptive Mesh Refinement data. yt provides full support for Enzo, Orion, and FLASH codes, with preliminary support for RAMSES, ART, Chombo, CASTRO and MAESTRO codes. It can be used to create many common types of data products such as:
There are a few major additions since yt-2.0 (Released January 17, 2011), including:
Documentation: http://yt.enzotools.org/doc/ Installation: http://yt.enzotools.org/doc/advanced/installing.html#installing-yt Cookbook: http://yt.enzotools.org/doc/cookbook/recipes.html Get Involved: http://yt.enzotools.org/doc/advanced/developing.html#contributing-code
If you can’t wait to get started, install with:
$ wget http://hg.enzotools.org/yt/raw/stable/doc/install_script.sh $ bash install_script.sh
Development has been sponsored by the NSF, DOE, and University funding. We invite you to get involved with developing and using yt!
Please forward this announcement to interested parties.
The yt development team:
David Collins Oliver Hahn Cameron Hummels Stefan Klemer Chris Malone Christopher Moody Andrew Myers Jeff Oishi Britton Smith Devin Silvia Sam Skillman Stephen Skory Matthew Turk John Wise John ZuHone