General two-dimensional least-squares image subtraction
Quinn_JL.pdf (513.7Kb)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.
General note
Artículo de publicación ISI
Patrocinador
The authors acknowledge support from the Millennium Center for
Supernova Science through grant P06-045-F funded by ‘Programa
Iniciativa Cient´ıfica Milenio de MIDEPLAN’. AC and MH also
acknowledge funding from grants Basal CATA PFB 06/09 and
FONDAP No. 15010003.
Identifier
URI: https://repositorio.uchile.cl/handle/2250/125380
DOI: doi:10.1111/j.1745-3933.2009.00797.x
Quote Item
Mon. Not. R. Astron. Soc. 403, L1–L5 (2010)
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