Mailman 3 Issue #570: Healpix volume rendering produces garbled, artifacted images (yt_analysis/yt) - yt-dev

17 May 2013

      New issue 570: Healpix volume rendering produces garbled, artifacted images
https://bitbucket.org/yt_analysis/yt/issue/570/healpix-volume-rendering-prod...

Nathan Goldbaum:

Using the sample script from the docs:

```
#!python

from yt.mods import *
import yt.visualization.volume_rendering.camera as camera

pf = load("IsolatedGalaxy/galaxy0030/galaxy0030")
image = camera.allsky_projection(pf, [0.5,0.5,0.5], 100.0/pf['kpc'], 64, "Density")
camera.plot_allsky_healpix(image, 64, "allsky.png", "Column Density [g/cm^2]")
```

Produces the following image:

![](http://i.imgur.com/5wskzay.png)

I also tried the manual method described further down in the docs:

```
#!python

rom yt.mods import *
import yt.visualization.volume_rendering.camera as camera

Nside = 32
pf = load("IsolatedGalaxy/galaxy0030/galaxy0030")
cam = camera.HEALpixCamera([0.5,0.5,0.5], 0.2, Nside, pf = pf, log_fields = [False])
bitmap = cam.snapshot()

import yt.utilities.lib as au
from numpy import pi
phi, theta = np.mgrid[0.0:2*pi:800j, 0:pi:800j]
pixi = au.arr_ang2pix_nest(Nside, theta.ravel(), phi.ravel())
img = np.log10(bitmap[:,0,0][pixi]).reshape((800,800))

import matplotlib.figure
import matplotlib.backends.backend_agg

fig = matplotlib.figure.Figure((10, 5))
ax = fig.add_subplot(1,1,1,projection='mollweide')
image = ax.imshow(img, extent=(-pi,pi,-pi/2,pi/2), clip_on=False, aspect=0.5)
cb = fig.colorbar(image, orientation='horizontal')

cb.set_label(r"$\mathrm{Column}\/\mathrm{Density}\/[\mathrm{g}/\mathrm{cm}^2]$")
canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig)
canvas.print_figure("allsky.png")

```
Note that I had to update this a bit since amr_utils was renamed a while back.  This produces the following image:

![](http://i.imgur.com/Jax1sYB.png)

While this looks more sensible, it's not clear to me that it is correct.

Issue #570: Healpix volume rendering produces garbled, artifacted images (yt_analysis/yt)

Nathan Goldbaum

Geoffrey So

Matthew Turk

Geoffrey So

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participants (3)