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dc.contributor.authorMorgan, R
dc.contributor.authorNord, B
dc.contributor.authorBechtol, K
dc.contributor.authorGonzález, SJ
dc.contributor.authorBuckley-Geer, E
dc.contributor.authorMöller, A
dc.contributor.authorPark, JW
dc.contributor.authorKim, AG
dc.contributor.authorBirrer, S
dc.contributor.authorAguena, M
dc.contributor.authorAnnis, J
dc.contributor.authorBocquet, S
dc.contributor.authorBrooks, D
dc.contributor.authorCarnero Rosell, A
dc.contributor.authorCarrasco Kind, M
dc.contributor.authorCarretero, J
dc.contributor.authorCawthon, R
dc.contributor.authorDa Costa, LN
dc.contributor.authorDavis, TM
dc.contributor.authorDe Vicente, J
dc.contributor.authorDoel, P
dc.contributor.authorFerrero, I
dc.contributor.authorFriedel, D
dc.contributor.authorFrieman, J
dc.contributor.authorGarcía-Bellido, J
dc.contributor.authorGatti, M
dc.contributor.authorGaztanaga, E
dc.contributor.authorGiannini, G
dc.contributor.authorGruen, D
dc.contributor.authorGruendl, RA
dc.contributor.authorGutierrez, G
dc.contributor.authorHollowood, DL
dc.contributor.authorHonscheid, K
dc.contributor.authorJames, DJ
dc.contributor.authorKuehn, K
dc.contributor.authorKuropatkin, N
dc.contributor.authorMaia, MAG
dc.contributor.authorMiquel, R
dc.contributor.authorPalmese, A
dc.contributor.authorPaz-Chinchón, F
dc.contributor.authorPereira, MES
dc.contributor.authorPieres, A
dc.contributor.authorPlazas Malagón, AA
dc.contributor.authorReil, K
dc.contributor.authorRoodman, A
dc.contributor.authorSanchez, E
dc.contributor.authorSmith, M
dc.contributor.authorSuchyta, E
dc.contributor.authorSwanson, MEC
dc.contributor.authorTarle, G
dc.contributor.authorTo, C
dc.date.accessioned2022-03-09T17:00:10Z
dc.date.available2022-03-09T17:00:10Z
dc.date.issued2022-03-01
dc.date.submitted2021-12-02
dc.identifier.issn0004-637X
dc.identifier.otherapjac5178
dc.identifier.otherac5178
dc.identifier.otheraas36365
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/334817
dc.description.abstractLarge-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectroscopic follow-up before the supernova fades, an LSN needs to be identified soon after it begins. To quickly identify LSNe in optical survey datasets, we designed ZipperNet, a multi-branch deep neural network that combines convolutional layers (traditionally used for images) with long short-term memory (LSTM) layers (traditionally used for time series). We tested ZipperNet on the task of classifying objects from four categories -- no lens, galaxy-galaxy lens, lensed type Ia supernova, lensed core-collapse supernova -- within high-fidelity simulations of three cosmic survey data sets -- the Dark Energy Survey (DES), Rubin Observatory's Legacy Survey of Space and Time (LSST), and a Dark Energy Spectroscopic Instrument (DESI) imaging survey. Among our results, we find that for the LSST-like dataset, ZipperNet classifies LSNe with a receiver operating characteristic area under the curve of 0.97, predicts the spectroscopic type of the lensed supernovae with 79\% accuracy, and demonstrates similarly high performance for LSNe 1-2 epochs after first detection. We anticipate that a model like ZipperNet, which simultaneously incorporates spatial and temporal information, can play a significant role in the rapid identification of lensed transient systems in cosmic survey experiments.
dc.languageen
dc.publisherAmerican Astronomical Society
dc.subject310
dc.subjectGalaxies and Cosmology
dc.titleDeepZipper: A Novel Deep-learning Architecture for Lensed Supernovae Identification
dc.typeArticle
dc.date.updated2022-03-09T17:00:09Z
prism.issueIdentifier1
prism.publicationNameAstrophysical Journal
prism.volume927
dc.identifier.doi10.17863/CAM.82250
dcterms.dateAccepted2022-02-01
rioxxterms.versionofrecord10.3847/1538-4357/ac5178
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidMorgan, R [0000-0002-7016-5471]
dc.contributor.orcidNord, B [0000-0001-6706-8972]
dc.contributor.orcidBechtol, K [0000-0001-8156-0429]
dc.contributor.orcidGonzález, SJ [0000-0001-7282-3864]
dc.contributor.orcidBuckley-Geer, E [0000-0002-3304-0733]
dc.contributor.orcidMöller, A [0000-0001-8211-8608]
dc.contributor.orcidPark, JW [0000-0002-0692-1092]
dc.contributor.orcidBirrer, S [0000-0003-3195-5507]
dc.contributor.orcidAguena, M [0000-0001-5679-6747]
dc.contributor.orcidAnnis, J [0000-0002-0609-3987]
dc.contributor.orcidBocquet, S [0000-0002-4900-805X]
dc.contributor.orcidBrooks, D [0000-0002-8458-5047]
dc.contributor.orcidCarnero Rosell, A [0000-0003-3044-5150]
dc.contributor.orcidCarrasco Kind, M [0000-0002-4802-3194]
dc.contributor.orcidCarretero, J [0000-0002-3130-0204]
dc.contributor.orcidCawthon, R [0000-0003-2965-6786]
dc.contributor.orcidDa Costa, LN [0000-0002-7731-277X]
dc.contributor.orcidDavis, TM [0000-0002-4213-8783]
dc.contributor.orcidDe Vicente, J [0000-0001-8318-6813]
dc.contributor.orcidFriedel, D [0000-0002-3632-7668]
dc.contributor.orcidFrieman, J [0000-0003-4079-3263]
dc.contributor.orcidGarcía-Bellido, J [0000-0002-9370-8360]
dc.contributor.orcidGaztanaga, E [0000-0001-9632-0815]
dc.contributor.orcidGiannini, G [0000-0002-3730-1750]
dc.contributor.orcidGruen, D [0000-0003-3270-7644]
dc.contributor.orcidGruendl, RA [0000-0002-4588-6517]
dc.contributor.orcidGutierrez, G [0000-0003-0825-0517]
dc.contributor.orcidHollowood, DL [0000-0002-9369-4157]
dc.contributor.orcidHonscheid, K [0000-0002-6550-2023]
dc.contributor.orcidJames, DJ [0000-0001-5160-4486]
dc.contributor.orcidKuehn, K [0000-0003-0120-0808]
dc.contributor.orcidKuropatkin, N [0000-0003-2511-0946]
dc.contributor.orcidMaia, MAG [0000-0001-9856-9307]
dc.contributor.orcidMiquel, R [0000-0002-6610-4836]
dc.contributor.orcidPalmese, A [0000-0002-6011-0530]
dc.contributor.orcidPaz-Chinchón, F [0000-0003-1339-2683]
dc.contributor.orcidPieres, A [0000-0001-9186-6042]
dc.contributor.orcidPlazas Malagón, AA [0000-0002-2598-0514]
dc.contributor.orcidRoodman, A [0000-0001-5326-3486]
dc.contributor.orcidSanchez, E [0000-0002-9646-8198]
dc.contributor.orcidSmith, M [0000-0002-3321-1432]
dc.contributor.orcidSuchyta, E [0000-0002-7047-9358]
dc.contributor.orcidTarle, G [0000-0003-1704-0781]
dc.contributor.orcidTo, C [0000-0001-7836-2261]
dc.identifier.eissn1538-4357
dc.publisher.urlhttp://dx.doi.org/10.3847/1538-4357/ac5178
cam.issuedOnline2022-03-09


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