[yt-users] Volume Renderings

[John Wise]

Hi Matt,

Great news.  I can cook up a multi-variable transfer function over the weekend and send it over.  Anyways I'm trapped in with the 2 feet of snow falling tonight and tomorrow!

John

On 5 Feb 2010, at 20:02, Matthew Turk wrote:

> Hi John,
> 
> Thanks for your kind words -- and as for the rho & T, it's
> *definitely* possible.  I'd put work on the backend on hold for a
> while, but this has always been in my head -- I think it's very
> important to have multi-variate transfer functions.  Actually, if you
> have a multiple variable transfer function in mind you could hand off
> to me, I'd be eager to give a go at extending the machinery to support
> multiple variables!
> 
> As a side note, those movies are absolutely gorgeous.  I'm honored to
> even hear you broach the subject.
> 
> -Matt
> 
> On Fri, Feb 5, 2010 at 4:58 PM, John Wise <jwise at astro.princeton.edu> wrote:
>> Wow, awesome work, both of you!  I enjoyed your other renderings on your
>> website, too.  And thanks for sharing your parallel script!
>> I looked through the ray tracing code, and saw that it could only supports
>> one field.  Would it be easy to support separate fields for opacity and
>> color?  i.e. density for opacity and temperature for color.  Then we can
>> re-create those "photo-realistic" renderings ...
>> http://www.astro.princeton.edu/~jwise/movies/FirstStarLighting_CLASSIC_HD_MONO720.mov
>> http://www.astro.princeton.edu/~jwise/movies/FirstStarLighting_RedBlue_MONO_HD720.mov
>> with yt!
>> Cheers,
>> John
>> On 5 Feb 2010, at 19:27, Sam Skillman wrote:
>> 
>> Hi all,
>> Matt asked me to share some recent volume renderings that I've made, along
>> with the scripts to go with them.  I've posted one such example here:
>> http://casa.colorado.edu/~skillman/research_and_codes/files/0c4c670cea1660aecbf0d0abdf3f3120-3.html
>> Beware the movie is about 260 MB.
>> This is a fairly small simulation but is a good example of what the volume
>> renderer can do.  I've implemented an "embarrassingly" parallel script that
>> allocates one datadump/viewpoint to each processor.  Here each of the 1717
>> frames can be partitioned and rendered in about a minute for a 1024^2 image,
>> meaning that on 16 processors this took about 2 hours.  If you have
>> questions about how the script works, please let me know.
>> 
>> Cheers,
>> Sam
>> --
>> Samuel W. Skillman
>> DOE Computational Science Graduate Fellow
>> Center for Astrophysics and Space Astronomy
>> University of Colorado at Boulder
>> samuel.skillman[at]colorado.edu
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