[yt-users] Santa Barbara Cluster Comparison

[Casey W. Stark]

Ah thanks Britton.

Didn't think to snoop around the scipy stuff. With that and a custom
colormap, I should be able to do this just fine.

What's the best place to post examples like this?

Best,
Casey


On Tue, Jun 28, 2011 at 7:30 AM, Britton Smith <brittonsmith at gmail.com>wrote:

> 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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