Enzo v1.5 Announcement

Dear Enzo users:

The Laboratory for Computational Astrophysics is proud to announce the release of Enzo version 1.5 and a new analysis and visualization toolkit for Enzo data called yt. Enzo v1.5 features a number of performance and physics enhancements relative to v1.0 including:

• 64-bit integers and message-passing for simulations with billions of particles;
• Improved scalability in unigrid and AMR modes;
• Packed AMR I/O for improved data management;
• More versatile units conversion for non-cosmological applications;
• Hydrodynamic PPM algorithm improvements and bug fixes;
• Improved radiative cooling/multispecies chemistry timestepping;
• Updated chemical and radiative rates for 6, 9 and 12 species primordial gas models;
• Star formation and feedback recipes;
• Tracer particles;
• An expanded suite of test problems.

Enzo v1.5 is accessible from a completely redesigned website powered by Trac software that includes:

• Documentation wiki;
• Source code browser and Doxygen pages;
• Automated regression testing status page;
• Bug tickets and tracking.

The Enzo Trac site links to useful Enzo tools including yt, the newest Enzo analysis and visualization tool, which is developed by Matthew Turk at KIPAC. Yt is a fully-free, python-based toolkit for managing and analyzing Enzo data. It supports a wide variety of standard imaging (slices, projections, arbitrary binning, oblique slices) and analysis functions (profiles, clump-finding, etc) for AMR data, and is designed from the ground up to be extremely extensible and flexible. Yt can be used for interactive (GUI or command line) or batch (scripted) processing of Enzo data.

For more information and to download Enzo v1.5 and yt, please visit http://lca.ucsd.edu/projects/enzo/wiki/Enzo1.5.