[yt-users] Covering Grid Dimensions: multiple refinement levels

Dear YT Users, To better understand covering_grid (or smoothed_covering_grid), can someone explain what dimensions I should use when I have multiple levels of refinement? If I have 1 level of refinement from AMR data, the dimensions should be the same, I believe, but what if I have 2 or 3 levels of refinement? Should the fixed resolution region then have dimensions of dims*2^2 and dims*3^2 respectively? Here is one example from a tutorial <http://yt-project.org/doc/examining/low_level_inspection.html#examining-grid...> if that helps isolate my question: all_data_level_2 = ds.covering_grid(level=2, left_edge=[0,0.0,0.0], dims=ds.domain_dimensions * 2**2) Thanks in advance, Carla