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An instance which makes use of a Gadget snapshot from the OWLS project may be found at Using yt to view and analyze Gadget-OWLS outputs. However, the grid data won’t be obtainable, and the particle data shall be loaded in a trend much like SPH knowledge. This also works when loading a variety of information in a time sequence. This function takes a ds9 area and creates a “cut region” knowledge container from it, that can be used to pick out the cells within the FITS dataset that fall inside the area. To use this functionality, the pyregionpackage must be put in.

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