General two-dimensional least-squares image subtraction

Details General two-dimensional least-squares image subtraction General two-dimensional least-squares image subtraction

Mar 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010mnras.403l...1q&link_type=abstract

Monthly Notices of the Royal Astronomical Society: Letters, Volume 403, Issue 1, pp. L1-L5.

Astronomy and Astrophysics

Astronomy

Methods: Data Analysis, Methods: Numerical, Techniques: Image Processing, Techniques: Photometric

Scientific paper

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.

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