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Improving (re-refinement) of bin-refine factors with high number density datasets

Open manodeep opened this issue 7 years ago • 1 comments

Currently, when default bin refine factors are used, the code tries to increase the refinement in along one axis. A better strategy to be to recursively apply the refinement (or estimate the level of refinement required depending on the current refinement factors and the average number density).

manodeep avatar Apr 29 '18 14:04 manodeep

I think we boost along two axes in most cases to help with this, e.g. https://github.com/manodeep/Corrfunc/blob/master/theory/DD/countpairs_impl.c.src#L252-L255

But I agree, we should just compute a target density and set the bin refine factors to match that.

lgarrison avatar Apr 29 '18 15:04 lgarrison