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General two-dimensional least-squares image subtraction

Authordc.contributor.authorQuinn, J. L. 
Authordc.contributor.authorClocchiatti, A. es_CL
Authordc.contributor.authorHamuy Wackenhut, Mario es_CL
Admission datedc.date.accessioned2010-06-30T19:49:51Z
Available datedc.date.available2010-06-30T19:49:51Z
Publication datedc.date.issued2010
Cita de ítemdc.identifier.citationMon. Not. R. Astron. Soc. 403, L1–L5 (2010)en_US
Identifierdc.identifier.otherdoi:10.1111/j.1745-3933.2009.00797.x
Identifierdc.identifier.urihttp://repositorio.uchile.cl/handle/2250/125380
General notedc.descriptionArtículo de publicación ISI
Abstractdc.description.abstractA 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.en_US
Patrocinadordc.description.sponsorshipThe 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.en_US
Lenguagedc.language.isoenen_US
Keywordsdc.subjectmethods: data analysisen_US
Títulodc.titleGeneral two-dimensional least-squares image subtractionen_US
Document typedc.typeArtículo de revistaen_US


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