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dc.contributor.authorTasse, C.
dc.contributor.authorHugo, B.
dc.contributor.authorMirmont, M.
dc.contributor.authorSmirnov, O.
dc.contributor.authorAtemkeng, M.
dc.contributor.authorBester, L.
dc.contributor.authorBonnassieux, E.
dc.contributor.authorHardcastle, M. J.
dc.contributor.authorLakhoo, R.
dc.contributor.authorGirard, J.H.V.
dc.contributor.authorMakhathini, S.
dc.contributor.authorPerkins, S.
dc.contributor.authorShimwell, Timothy W.
dc.date.accessioned2018-06-07T16:14:12Z
dc.date.available2018-06-07T16:14:12Z
dc.date.issued2018-04-12
dc.identifier.citationTasse , C , Hugo , B , Mirmont , M , Smirnov , O , Atemkeng , M , Bester , L , Bonnassieux , E , Hardcastle , M J , Lakhoo , R , Girard , J H V , Makhathini , S , Perkins , S & Shimwell , T W 2018 , ' Facetting for direction-dependent spectral deconvolution ' Astronomy & Astrophysics , vol. 611 , A87 . https://doi.org/10.1051/0004-6361/201731474
dc.identifier.issn0004-6361
dc.identifier.otherPURE: 12916951
dc.identifier.otherPURE UUID: 3b4a5f2d-a1cc-4aa3-b6b4-dd3fb82bc4ec
dc.identifier.otherArXiv: http://arxiv.org/abs/1712.02078v1
dc.identifier.otherScopus: 85045518380
dc.identifier.urihttp://hdl.handle.net/2299/20160
dc.descriptionReproduced with permission from Astronomy & Astrophysics, © 2018 ESO. Content in the UH Research Archive is made available for personal research, educational, and non-commercial purposes only. Unless otherwise stated, all content is protected by copyright, and in the absence of an open license, permissions for further re-use should be sought from the publisher, the author, or other copyright holder.
dc.description.abstractThe new generation of radio interferometers is characterized by high sensitivity, wide fields of view and large fractional bandwidth. To synthesize the deepest images enabled by the high dynamic range of these instruments requires us to take into account the direction-dependent Jones matrices, while estimating the spectral properties of the sky in the imaging and deconvolution algorithms. In this paper we discuss and implement a wide-band wide-field spectral deconvolution framework (DDFacet) based on image plane faceting, that takes into account generic direction-dependent effects. Specifically, we present a wide-field co-planar faceting scheme, and discuss the various effects that need to be taken into account to solve for the deconvolution problem (image plane normalization, position-dependent PSF, etc). We discuss two wide-band spectral deconvolution algorithms based on hybrid matching pursuit and sub-space optimisation respectively. A few interesting technical features incorporated in our imager are discussed, including baseline dependent averaging, which has the effect of improving computing efficiency. The version of DDFacet presented here can account for any externally defined Jones matrices and/or beam patterns.en
dc.language.isoeng
dc.relation.ispartofAstronomy & Astrophysics
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.subjectastro-ph.IM
dc.titleFacetting for direction-dependent spectral deconvolutionen
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionCentre for Astrophysics Research
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Physics, Astronomy and Mathematics
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2017-12-01
rioxxterms.versionAM
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1051/0004-6361/201731474
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeopenAccess


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