| Author | dc.contributor.author | Quinn, J. L. | |
| Author | dc.contributor.author | Clocchiatti, A. | es_CL |
| Author | dc.contributor.author | Hamuy Wackenhut, Mario | es_CL |
| Admission date | dc.date.accessioned | 2010-06-30T19:49:51Z | |
| Available date | dc.date.available | 2010-06-30T19:49:51Z | |
| Publication date | dc.date.issued | 2010 | |
| Cita de ítem | dc.identifier.citation | Mon. Not. R. Astron. Soc. 403, L1–L5 (2010) | en_US |
| Identifier | dc.identifier.other | doi:10.1111/j.1745-3933.2009.00797.x | |
| Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/125380 | |
| General note | dc.description | Artículo de publicación ISI | |
| Abstract | dc.description.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. | en_US |
| Patrocinador | dc.description.sponsorship | 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. | en_US |
| Lenguage | dc.language.iso | en | en_US |
| Keywords | dc.subject | methods: data analysis | en_US |
| Título | dc.title | General two-dimensional least-squares image subtraction | en_US |
| Document type | dc.type | Artículo de revista | |
