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dc.contributor.authorTreu, Ten
dc.contributor.authorAgnello, Aen
dc.contributor.authorBaumer, MAen
dc.contributor.authorBirrer, Sen
dc.contributor.authorBuckley-Geer, EJen
dc.contributor.authorCourbin, Fen
dc.contributor.authorKim, YJen
dc.contributor.authorLin, Hen
dc.contributor.authorMarshall, PJen
dc.contributor.authorNord, Ben
dc.contributor.authorSchechter, PLen
dc.contributor.authorSivakumar, PRen
dc.contributor.authorAbramson, LEen
dc.contributor.authorAnguita, Ten
dc.contributor.authorApostolovski, Yen
dc.contributor.authorAuger, MWen
dc.contributor.authorChan, JHHen
dc.contributor.authorChen, GCFen
dc.contributor.authorCollett, TEen
dc.contributor.authorFassnacht, CDen
dc.contributor.authorHsueh, JWen
dc.contributor.authorLemon, Cameronen
dc.contributor.authorMcMahon, Richarden
dc.contributor.authorMotta, Ven
dc.contributor.authorOstrovski, Fen
dc.contributor.authorRojas, Ken
dc.contributor.authorRusu, CEen
dc.contributor.authorWilliams, Pen
dc.contributor.authorFrieman, Jen
dc.contributor.authorMeylan, Gen
dc.contributor.authorSuyu, SHen
dc.contributor.authorAbbott, TMCen
dc.contributor.authorAbdalla, FBen
dc.contributor.authorAllam, Sen
dc.contributor.authorAnnis, Jen
dc.contributor.authorAvila, Sen
dc.contributor.authorBanerji, Mandaen
dc.contributor.authorBrooks, Den
dc.contributor.authorRosell, ACen
dc.contributor.authorCarrasco Kind, Men
dc.contributor.authorCarretero, Jen
dc.contributor.authorCastander, FJen
dc.contributor.authorD'Andrea, CBen
dc.contributor.authorda Costa, LNen
dc.contributor.authorDe Vicente, Jen
dc.contributor.authorDoel, Pen
dc.contributor.authorEifler, TFen
dc.contributor.authorFlaugher, Ben
dc.contributor.authorFosalba, Pen
dc.contributor.authorGarcía-Bellido, Jen
dc.contributor.authorGoldstein, DAen
dc.contributor.authorGruen, Den
dc.contributor.authorGruendl, RAen
dc.contributor.authorGutierrez, Gen
dc.contributor.authorHartley, WGen
dc.contributor.authorHollowood, Den
dc.contributor.authorHonscheid, Ken
dc.contributor.authorJames, DJen
dc.contributor.authorKuehn, Ken
dc.contributor.authorKuropatkin, Nen
dc.contributor.authorLima, Men
dc.contributor.authorMaia, MAGen
dc.contributor.authorMartini, Pen
dc.contributor.authorMenanteau, Fen
dc.contributor.authorMiquel, Ren
dc.contributor.authorPlazas, AAen
dc.contributor.authorRomer, AKen
dc.contributor.authorSanchez, Een
dc.contributor.authorScarpine, Ven
dc.contributor.authorSchindler, Ren
dc.contributor.authorSchubnell, Men
dc.contributor.authorSevilla-Noarbe, Ien
dc.contributor.authorSmith, Men
dc.contributor.authorSmith, RCen
dc.contributor.authorSoares-Santos, Men
dc.contributor.authorSobreira, Fen
dc.contributor.authorSuchyta, Een
dc.contributor.authorSwanson, MECen
dc.contributor.authorTarle, Gen
dc.contributor.authorThomas, Den
dc.contributor.authorTucker, DLen
dc.contributor.authorWalker, ARen
dc.date.accessioned2018-11-14T00:32:34Z
dc.date.available2018-11-14T00:32:34Z
dc.date.issued2018-11-21en
dc.identifier.issn0035-8711
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/285090
dc.description.abstractThe primary goals of the STRong lensing Insights into the Dark Energy Survey (STRIDES) collaboration are to measure the dark energy equation of state parameter and the free streaming length of dark matter. To this aim, STRIDES is discovering strongly lensed quasars in the imaging data of the Dark Energy Survey and following them up to measure time delays, high resolution imaging, and spectroscopy sufficient to construct accurate lens models. In this paper, we first present forecasts for STRIDES. Then, we describe the STRIDES classification scheme, and give an overview of the Fall 2016 follow-up campaign. We continue by detailing the results of two selection methods, the Outlier Selection Technique and a morphological algorithm, and presenting lens models of a system, which could possibly be a lensed quasar in an unusual configuration. We conclude with the summary statistics of the Fall 2016 campaign. Including searches presented in companion papers (Anguita et al.; Ostrovski et al.), STRIDES followed up 117 targets identifying 7 new strongly lensed systems, and 7 nearly identical quasars (NIQs), which could be confirmed as lenses by the detection of the lens galaxy. 76 candidates were rejected and 27 remain otherwise inconclusive, for a success rate in the range 6-35\%. This rate is comparable to that of previous searches like SQLS even though the parent dataset of STRIDES is purely photometric and our selection of candidates cannot rely on spectroscopic information.
dc.publisherOxford University Press
dc.rightsPublisher's own licence
dc.rights.uri
dc.titleThe STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign - I. Overview and classification of candidates selected by two techniquesen
dc.typeArticle
prism.endingPage1054
prism.issueIdentifier1en
prism.publicationDate2018en
prism.publicationNameMonthly Notices of the Royal Astronomical Societyen
prism.startingPage1041
prism.volume481en
dc.identifier.doi10.17863/CAM.32460
dcterms.dateAccepted2018-08-22en
rioxxterms.versionofrecord10.1093/MNRAS/STY2329en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2018-11-21en
dc.contributor.orcidLemon, Cameron [0000-0003-2456-9317]
dc.contributor.orcidMcMahon, Richard [0000-0001-8447-8869]
dc.contributor.orcidBanerji, Manda [0000-0002-0639-5141]
dc.identifier.eissn1365-2966
rioxxterms.typeJournal Article/Reviewen


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