Point Spread Functions in Identification of Astronomical Objects from Poisson Noised Image

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dc.contributor.authorMojzis, Frantisek
dc.contributor.authorKukal, Jaromir
dc.contributor.authorSvihlik, Jan
dc.coverage.issue1cs
dc.coverage.volume25cs
dc.date.accessioned2016-04-20T06:25:36Z
dc.date.available2016-04-20T06:25:36Z
dc.date.issued2016-04cs
dc.description.abstractThis article deals with modeling of astronomical objects, which is one of the most fundamental topics in astronomical science. Introduction part is focused on problem description and used methods. Point Spread Function Modeling part deals with description of basic models used in astronomical photometry and further on introduction of more sophisticated models such as combinations of interference, turbulence, focusing, etc. This paper also contains a~way of objective function definition based on the knowledge of Poisson distributed noise, which is included in astronomical data. The proposed methods are further applied to real astronomical data.en
dc.formattextcs
dc.format.extent169-176cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2016 vol. 25, č. 1, s. 169-176. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2016.0169en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57924
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2016/16_01_0040_0045.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectAstronomical Imageen
dc.subjectPoint Spread Functionen
dc.subjectPoisson Noiseen
dc.subjectObjetive Functionen
dc.titlePoint Spread Functions in Identification of Astronomical Objects from Poisson Noised Imageen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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