Comments (2)
I think basically the same issue also comes up in slices through SPH datasets:
pixelization_routines.pyx, line 1465 onwards: pixelize_sph_kernel_slice
. The general approach here seems to be to evaluate the SPH field
where
Finally, I would suggest that we really need the z values for this as well. Now, this method calculates the kernel contributions for all particles as if the particle center lies exactly in the plane of the slice, but really, the kernel should probably be evaluated at the 3D-distance to the pixel center, to be consistent with how SPH interpolation is done in a simulation.
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The 3D version of this grid deposition pixelization_routines.pyx, line 1607 onwards: pixelize_sph_kernel_arbitrary_grid
seems to handle the 3D part just find, but again sets minimum smoothing lengths (for the kernel evaluation, but not the pre-factor). This is inconsistent with an evaluation of the SPH field at a voxel center.
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