dc.contributor.author | Cagigas García, Miguel Ángel | |
dc.contributor.author | Valle Herrero, Pedro José | |
dc.contributor.author | Pérez Cagigal, Manuel | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2013-10-24T06:51:42Z | |
dc.date.available | 2013-10-24T06:51:42Z | |
dc.date.issued | 2012-02-13 | |
dc.identifier.issn | 1094-4087 | |
dc.identifier.uri | http://hdl.handle.net/10902/3754 | |
dc.description.abstract | In this paper we show new ways to improve the performance of ground-based coronagraphy. We introduce adaptive coronagraphic masks whose profile is a binary version of the instantaneous atmospherically degraded star image. We also propose the hyper-Gaussian profile masks obtained by averaging adaptive masks. In addition, adaptive Lyot stops and hyper-Gaussian Lyot stops are analyzed. Computer simulations show that all these masks outperform the circular hard-edged mask and that a proper mask and stop combination significantly reduces the angular separation at which a faint companion can be detected. | es_ES |
dc.format.extent | 9 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | The Optical Society (OSA) | es_ES |
dc.rights | © 2012 Optical Society of America. This paper was published in Optics Express and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://dx.doi.org/10.1364/OE.20.004574. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. | es_ES |
dc.source | Optics Express, 2012, 20(4), 4574-4582 | es_ES |
dc.subject.other | Astronomical optics | es_ES |
dc.subject.other | Telescopes | es_ES |
dc.subject.other | Image enhancement | es_ES |
dc.subject.other | Image detection systems | es_ES |
dc.title | Coronagraphs adapted to atmosphere conditions | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1364/OE.20.004574 | |
dc.type.version | publishedVersion | es_ES |