<div dir="ltr">A HUGE Congratulations to the entire yt-dev team and community! <div><br></div><div>Be Well</div><div>Anthony</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Aug 4, 2014 at 9:50 AM, Matthew Turk <span dir="ltr"><<a href="mailto:matthewturk@gmail.com" target="_blank">matthewturk@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div class="HOEnZb"><div class="h5">The yt community is proud to announce the release of yt 3.0.<br>
<br>
yt (<a href="http://yt-project.org" target="_blank">http://yt-project.org</a>) is an open source, community-developed<br>
toolkit for analysis and visualization of volumetric data of all<br>
types, with a particular emphasis on astrophysical simulations and<br>
nuclear engineering simulations.<br>
<br>
This release of yt features an entirely rewritten infrastructure for<br>
data ingestion, indexing, and representation. While past versions of<br>
yt were focused on analysis and visualization of data structured as<br>
regular grids, this release features full support for particle<br>
(discrete point) data such as N-body and SPH data, irregular<br>
hexahedral mesh data, and data organized via octrees. This<br>
infrastructure will be extended in future versions for high-fidelity<br>
representation of unstructured mesh datasets.<br>
<br>
Highlighted changes in yt 3.0:<br>
<br>
* Units now permeate the code base, enabling self-consistent unit<br>
transformations of all arrays and quantities returned by yt.<br>
* Particle data is now supported using a lightweight octree. SPH<br>
data can be smoothed onto an adaptively-defined mesh using standard<br>
SPH smoothing<br>
* Support for octree AMR codes<br>
* Preliminary Support for non-Cartesian data, such as cylindrical,<br>
spherical, and geographical<br>
* Revamped analysis framework for halos and halo catalogs, including<br>
direct ingestion and analysis of halo catalogs of several different<br>
formats<br>
* Support for multi-fluid datasets and datasets containing multiple<br>
particle types<br>
* Flexible support for dynamically defining new particle types using<br>
filters on existing particle types or by combining different particle<br>
types.<br>
* Vastly improved support for loading generic grid, AMR, hexahedral<br>
mesh, and particle without hand-coding a frontend for a particular<br>
data format.<br>
* New frontends for ART, ARTIO, Boxlib, Chombo, FITS, GDF, Subfind,<br>
Rockstar, Pluto, RAMSES, SDF, Gadget, OWLS, PyNE, Tipsy, as well as<br>
rewritten frontends for Enzo, FLASH, Athena, and generic data.<br>
* First release to support installation of yt on Windows<br>
* Extended capabilities for construction of simulated observations,<br>
and new facilities for analyzing and visualizing FITS images and cube<br>
data<br>
* Many performance improvements<br>
<br>
This release is the first of several; while most functionality from<br>
the previous generation of yt has been updated to work with yt 3.0, it<br>
does not yet have feature parity in all respects. While the core of<br>
yt is stable, we suggest the support for analysis modules and volume<br>
rendering be viewed as a late-stage beta, with a series of additional<br>
releases (3.1, 3.2, etc) appearing over the course of the next year to<br>
improve support in these areas.<br>
<br>
For more information, including installation instructions, links to<br>
community resources, and information on contributing to yt’s<br>
development, please see the yt homepage at <a href="http://yt-project.org" target="_blank">http://yt-project.org</a> and<br>
the documentation for yt-3.0 at <a href="http://yt-project.org/docs/3.0" target="_blank">http://yt-project.org/docs/3.0</a><br>
<br>
yt is the product of a large community of developers and users and we<br>
are extraordinarily grateful for and proud of their contributions. yt<br>
3.0 features contributions from over 60 individuals, constituting<br>
almost 5000 commits. For many contributors, this is the first release<br>
featuring their work.<br>
<br>
Please forward this announcement on to any interested parties, and<br>
look for information soon about upcoming workshops focused on yt and<br>
applying it to your data.<br>
<br>
Thank you,<br>
<br>
</div></div><span class="HOEnZb"><font color="#888888">--<br>
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