J/A+A/679/A18ivo://CDS.VizieR/J/A+A/679/A18CDSRen B.B.2023-12-06T06:31:17Z2023-10-31T08:04:44ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frearly-type-starsinfrared-astronomyDetection and characterization of extended structures is a crucial goal in high contrast imaging. However, these structures face challenges in data reduction, leading to over-subtraction from speckles and self-subtraction with most existing methods. Iterative post-processing methods offer promising results, but their integration into existing pipelines is hindered by selective algorithms, high computational cost, and algorithmic regularization. To address this for reference differential imaging (RDI), here we propose the data imputation concept to Karhunen-Loeve transform (DIKL) by modifying two steps in the standard Karhunen-Loeve image projection (KLIP) method. Specifically, we partition an image to two matrices: an anchor matrix which focuses only on the speckles to obtain the DIKL coefficients, and a boat matrix which focus on the regions of astrophysical interest for speckle removal using DIKL components. As a non-iterative approach, DIKL achieves high-quality results with significantly reduced computational costs (~3 orders of magnitude less than iterative methods). Being a derivative method of KLIP, DIKL is seamlessly integrable into high contrast imaging pipelines for RDI observations.2023A&A...679A..18Rhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/679/A18CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/679/A18https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/679/A18http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/679/A18https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/679/A18https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/679/A18http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/679/A18GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/679/A18/list (List of fits files)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/679/A18/list?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/679/A18/list?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/679/A18/list?GETtext/xml+votable180.050000true276.12407-29.780540.005555555555555556Associated datahttps://cdsarc.cds.unistra.fr/assocdata/?obs_collection=J/A+A/679/A186/22873 28762 43358https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/679/A18?format=asciiInfrareddefaultJ/A+A/679/A18/listList of fits filesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintStarStar namemeta.id;meta.maincharRAJ2000Right Ascension of center (J2000)degpos.eq.ra;meta.mainDEJ2000Declination of center (J2000)degpos.eq.dec;meta.mainscale? Scale of the imagearcsec/pixinstr.scaledoublenullableNxNumber of pixels along X-axismeta.numberintNyNumber of pixels along Y-axismeta.numberintObs.dateObservation datestime.epoch;obsnullablesizeSize of FITS fileKibytephys.size;meta.fitsintFileNameName of FITS file, in subdirectory fitsmeta.id;meta.fitscharTitleTitle of the FITS filemeta.title;meta.fitschar