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dc.contributor.authorTalbot, Michael S.
dc.contributor.authorBrownstein, Joel R.
dc.contributor.authorBolton, Adam S.
dc.contributor.authorBundy, Kevin
dc.contributor.authorAndrews, Brett H.
dc.contributor.authorCherinka, Brian
dc.contributor.authorCollett, Thomas E.
dc.contributor.authorMore, Anupreeta
dc.contributor.authorMore, Surhud
dc.contributor.authorSonnenfeld, Alessandro
dc.contributor.authorVegetti, Simona
dc.contributor.authorWake, David A.
dc.contributor.authorWeijmans, Anne-Marie
dc.contributor.authorWestfall, Kyle B.
dc.date.accessioned2018-03-13T15:30:09Z
dc.date.available2018-03-13T15:30:09Z
dc.date.issued2018-03-10
dc.identifier.citationTalbot , M S , Brownstein , J R , Bolton , A S , Bundy , K , Andrews , B H , Cherinka , B , Collett , T E , More , A , More , S , Sonnenfeld , A , Vegetti , S , Wake , D A , Weijmans , A-M & Westfall , K B 2018 , ' SDSS-IV MaNGA : the spectroscopic discovery of strongly lensed galaxies ' , Monthly Notices of the Royal Astronomical Society . https://doi.org/10.1093/mnras/sty653en
dc.identifier.issn0035-8711
dc.identifier.otherPURE: 252533919
dc.identifier.otherPURE UUID: dc59c3e1-6163-413f-b303-894f37c2776f
dc.identifier.otherBibCode: 2018arXiv180303604T
dc.identifier.otherScopus: 85046699176
dc.identifier.otherORCID: /0000-0002-5908-6852/work/42734901
dc.identifier.otherWOS: 000432660300015
dc.identifier.urihttps://hdl.handle.net/10023/12931
dc.descriptionFunding: Leverhulme Trust Early Career Fellowship (AW).en
dc.description.abstractWe present a catalogue of 38 spectroscopically detected strong galaxy-galaxy gravitational lens candidates identified in the Sloan Digital Sky Survey IV (SDSS-IV). We were able to simulate narrow-band images for 8 of them demonstrating evidence of multiple images. Two of our systems are compound lens candidates, each with 2 background source-planes. One of these compound systems shows clear lensing features in the narrow-band image. Our sample is based on 2812 galaxies observed by the Mapping Nearby Galaxies at APO (MaNGA) integral field unit (IFU). This Spectroscopic Identification of Lensing Objects (SILO) survey extends the methodology of the Sloan Lens ACS Survey (SLACS) and BOSS Emission-Line Survey (BELLS) to lower redshift and multiple IFU spectra. We searched ∼1.5 million spectra, of which 3065 contained multiple high signal-to-noise background emission-lines or a resolved [O ii] doublet, that are included in this catalogue. Upon manual inspection, we discovered regions with multiple spectra containing background emission-lines at the same redshift, providing evidence of a common source-plane geometry which was not possible in previous SLACS and BELLS discovery programs. We estimate more than half of our candidates have an Einstein radius ≳ 1.7”, which is significantly greater than seen in SLACS and BELLS. These larger Einstein radii produce more extended images of the background galaxy increasing the probability that a background emission-line will enter one of the IFU spectroscopic fibres, making detection more likely.
dc.language.isoeng
dc.relation.ispartofMonthly Notices of the Royal Astronomical Societyen
dc.rights© 2018, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1093/mnras/sty653en
dc.subjectGalaxies: generalen
dc.subjectGravitational lensing: strongen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subjectDASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleSDSS-IV MaNGA : the spectroscopic discovery of strongly lensed galaxiesen
dc.typeJournal articleen
dc.contributor.sponsorThe Leverhulme Trusten
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.identifier.doihttps://doi.org/10.1093/mnras/sty653
dc.description.statusPeer revieweden
dc.identifier.urlhttp://adsabs.harvard.edu/abs/2018arXiv180303604Ten
dc.identifier.grantnumberECF-2014-767en


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