Get access

General two-dimensional least-squares image subtraction

Authors


E-mail: jquinn@astro.puc.cl

ABSTRACT

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.

Ancillary