@
Matthew Turk
|
Monday, Aug 22, 2011
| 1 minute read
| Update at
Monday, Aug 22, 2011
This is just a brief blog entry – other news is on the way soon! – to
let everyone know we’ve updated our domains. In keeping with the change
in focus of the yt project, expanding to work with multiple codes and
take broader views of analysis and visualization, we have moved from
enzotools.org to
yt-project.org. Some other exciting changes
will be coming from this in the future, too!
yt has many extension packages to help you in your scientific workflow! Check
these out, or create your own.
ytini
ytini is set of tools and tutorials for using yt as a tool inside the 3D visual
effects software Houdini or a data pre-processor externally to Houdini.
Trident
Trident is a full-featured tool that projects arbitrary sightlines through
astrophysical hydrodynamics simulations for generating mock spectral
observations of the IGM and CGM.
pyXSIM
pyXSIM is a Python package for simulating X-ray observations from astrophysical
sources.
ytree
Analyze merger tree data from multiple sources. It’s yt for merger trees!
yt_idv
yt_idv is a package for interactive volume rendering with yt!
It provides interactive visualization using OpenGL for datasets
loaded in yt. It is written to provide both scripting and interactive access.
widgyts
widgyts is a jupyter widgets extension for yt,
backed by rust/webassembly to allow for browser-based, interactive exploration
of data from yt.
yt_astro_analysis
yt_astro_analysis
is the yt extension package for astrophysical analysis.
Make your own!!
Finally, check out our development docs
on writing your own yt extensions!
Contributing to the Blog
Are you interested in contributing to the yt blog?
We welcome contributions from all members of the yt community. Feel free to
reach out if you need any help.
the yt data hub
The yt hub at https://girder.hub.yt/ has a ton of resources to check out,
whether you have yt installed or not.
The collections host all sorts of data
that can be loaded with yt. Some have been used in publications, and others are
used as sample frontend data for yt. Maybe there’s data from your simulation
software?
The rafts host the yt quickstart notebooks,
where you can interact with yt in the browser, without needing to install it
locally. Check out some of the other rafts too, like the widgyts release
notebooks – a demo of the widgyts yt extension pacakge; or the notebooks from
the CCA workshop – a user’s workshop on using yt.