[yt-users] arbitrary grid and user-defined field

[Cameron Hummels]

Hi Stephanie,

I've not heard of this bug, but I've had some difficulty with
arbitrary_grids in the past.  You might try using a covering_grid instead
of an arbitrary_grid object since it is designed with grid-based datasets
in mind whereas arbitrary_grids are more suited to particle-based
datasets.  This will give you a uniform grid at whatever resolution you
desire (200 pc).  If that doesn't work, perhaps it is a problem with your
user-defined fields?  But given that it works with cut_regions, I think
it's unlikely to be your field definition.

http://yt-project.org/docs/dev/examining/low_level_inspection.html#examining-grid-data-in-a-fixed-resolution-array

Hope this helps!

Cameron



On Mon, Aug 7, 2017 at 10:14 PM, Stephanie Tonnesen <stonnes at gmail.com>
wrote:

> 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 at gmail.com
>
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>
>


-- 
Cameron Hummels
NSF Postdoctoral Fellow
Department of Astronomy
California Institute of Technology
http://chummels.org
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