General two-dimensional least-squares image subtraction
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A very general two-dimensional solution to the image convolution problem is presented extending the least-squares approach of Bramich. Image convolution is of wide applicability in astronomical data reduction including, but not limited to, light-curve analysis, microlensing and planet transits. The authors present the solution in a manner of interest to someone wishing to code a spatially varying implementation of the least-squares method.
Artículo de publicación ISI