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I did some simple volume rendering with the following script:
volume2 = AMRKDTree(pf, fields=["Dark_Matter_Density"], no_ghost=False, tree_type="domain", le=c-0.5*WW, re=c+0.5*WW) cam = pf.h.camera(c, L, W, N, tf, volume=volume2, no_ghost=False, north_vector=L, steady_north=True) cam.snapshot(fn="%s_iso-DMdensity-%3.3d.png" % (filenameTHIS, j))
I got rather strange results in that the pictures look symmetric, which I am pretty sure can not be true. I attach the obtained plot. Note that I am using KD tree and using 32 cores.
Your help at your earliest convenience is appreciated. Best, Renyue