[yt-users] Santa Barbara Cluster Comparison

[Britton Smith]

Hi Casey,

You might try adding a gaussian filter from scipy:
http://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.filters.gaussian_filter.html
Once you make the projection, you can get N^2 image data by creating a
FixedResolutionBuffer like this:
frb = FixedResolutionBuffer(projection, (x_left, x_right, y_left, y_right),
(N, N), antialias=False)
where projection is your projection object (like pc.plots[-1])
The actual data for a field can be accessed by frb[field].

You should be able to take that NxN array and apply whatever filter you
like.

Britton

On Mon, Jun 27, 2011 at 11:59 PM, Casey W. Stark <caseywstark at gmail.com>wrote:

> Hello yt.
>
> I'm trying to generate plots like the ones in Frenk 1999, the Santa Barbara
> Cluster Comparison Project. I would like to reproduce the plots of
> projections of the dark matter density, gas density, and temperature at z =
> 0.
>
> The first step is pretty easy - just make a plotcollection and add a
> projection. The part I'm not sure about is the smoothing. I need to apply
> Gaussian smoothing to this 256^3 data. I figure I do something like what is
> in AMRSmoothedCoveringGridBase, but I'm really not sure.
>
> Has anyone done anything similar with yt?
>
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>
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