[yt-users] halo finding on gadget snapshots

[Nathan Goldbaum]

On Tue, Jun 24, 2014 at 8:57 AM, Desika Narayanan <dnarayan at haverford.edu>
wrote:

> Hi All,
>
> I'm having some issues with really basic halo finding on gadget snapshots
> in the bleeding edge version.  What I want to do is ID halos in a volume,
> save a list of the halos, and plot a projection plot with circles over the
> halos (all of which I think should be possible).
>
> The principle script is:  http://paste.yt-project.org/show/4824/
>
> The error I get when trying to save the halos is:
>
> http://paste.yt-project.org/show/4822/
>

I don't think I can speak to this beyond that this error indicates that
something is going wrong with field detection.  It might be helpful to
rerun the script with yt's log level threshold decreased to 10, which will
show debug messages.  See this page:
http://yt-project.org/docs/dev-3.0/reference/configuration.html

Running with debug logs will allow us to see if any fields are raising
exceptions during field detection.


>
>
> and in trying to annotate the halos on the projection plot is:
>
> http://paste.yt-project.org/show/4823/
>
> Am I either doing something wrong in my commands?  (hopefully as simple as
> that...) or are these not supported yet in the bleeding edge yt?
>

This looks like a straight up typo in the HaloCatalogCallback.  You could
try commenting out the line it's failing on.

It looks like Hillary Egan was the last one to touch this in May.


>
> thanks
> desika
>
> ps. On another (related) note, is it possible to manually draw circles on
> a projection plot?  Or arrows, or tick marks, or anything that I could use
> to visually show off individual halos?
>

>

You can access the underlying matplotlib primitives like so:

slc = SlicePlot(pf, 0, 'density')
plot = slc.plots['density']
fig = plot.figure  # matplotlib figure object
ax = plot.axes   # matplotlib axes object
cax = plot.cax   # matplotlib colorbar axes object
cb = plot.cb      # matplotlib colorbar object
image = plot.image  # matplotlib AxesImage object

Using these objects you should be able to customize the plot however you'd
like.

-Nathan




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