Hi yt-users!

I have a simulation run on Enzo that has a best resolution cell size of ~40 pc.  I would like to be able to compare my run to observations that are at a resolution of ~200 pc.  I want to save a bunch of data in a fits file with that resolution.  It looks like the way to do this is to create an arbitrary_grid object.  If someone has a better method, please tell me!

So I have my artbitrary_grid object, and I am making arrays of fields:

xp = arbgridobj['x']

...etc....

xp = np.array(xp)

...etc...

my code keeps crashing when I try to get a user-defined field for my arbitrary_grid object.  If I try to get the field for a cut_region my code runs just fine.  Is user-defined fields + arbitrary_grid objects just something that yt can't do or is there some different way to make this happen than in a cut_region?  

Thanks!!

Best,

Stephanie

--
Dr. Stephanie Tonnesen

Alvin E. Nashman Postdoctoral Fellow

Carnegie Observatories, Pasadena, CA

stonnes@gmail.com

_______________________________________________
yt-users mailing list
yt-users@lists.spacepope.org
http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org