Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks
dc.date.accessioned | 2022-03-07T17:58:31Z | |
dc.date.available | 2022-03-07T17:58:31Z | |
dc.date.created | 2022-02-07T15:48:12Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Cheng, Ting-Yun Conselice, Christopher J. Aragón-Salamanca, Alfonso Aguena, Michel Allam, Sahar Andrade-Oliveira, F. Annis, J. Bluck, A. F. L. Brooks, D. Burke, David L. Carrasco Kind, Matias Carretero, Jorge Choi, A. Costanzi, Matteo da Costa, Luiz N. Pereira, Maria Elidaiana da Silva De Vicente, Juan Diehl, Herman T. Drlica-Wagner, Alex Eckert, K. Everett, S. Evrard, August E. Ferrero, Ismael Fosalba, Pablo Frieman, Josh García-Bellido, Juan Gerdes, David W. Giannantonio, Tommaso Gruen, Daniel Gruendl, Robert A. Gschwend, Julia Gutierrez, G. Hinton, Samuel R. Hollowood, Devon L. Honscheid, Klaus James, David J. Krause, E. Kuehn, Kyler Kuropatkin, Nikolay Lahav, Ofer Maia, Marcio A. G. March, Marisa Menanteau, Felipe Miquel, Ramon Morgan, R. Paz-Chinchón, Francisco Pieres, Adriano Plazas Malagón, Andrés A. Roodman, A. Sanchez, E. Scarpine, Vic Serrano, S. Sevilla-Noarbe, Ignacio Smith, Mathew Soares-Santos, Marcelle Suchyta, E. Swanson, Molly E. C. Tarlé, Gregory Thomas, Daniel To, Chun-Hao . Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks. Monthly notices of the Royal Astronomical Society. 2021, 507(3), 4425-4444 | |
dc.identifier.uri | http://hdl.handle.net/10852/92047 | |
dc.description.abstract | ABSTRACT We present in this paper one of the largest galaxy morphological classification catalogues to date, including over 20 million galaxies, using the Dark Energy Survey (DES) Year 3 data based on convolutional neural networks (CNNs). Monochromatic i-band DES images with linear, logarithmic, and gradient scales, matched with debiased visual classifications from the Galaxy Zoo 1 (GZ1) catalogue, are used to train our CNN models. With a training set including bright galaxies (16 ≤ i < 18) at low redshift (z < 0.25), we furthermore investigate the limit of the accuracy of our predictions applied to galaxies at fainter magnitude and at higher redshifts. Our final catalogue covers magnitudes 16 ≤ i < 21, and redshifts z < 1.0, and provides predicted probabilities to two galaxy types – ellipticals and spirals (disc galaxies). Our CNN classifications reveal an accuracy of over 99 per cent for bright galaxies when comparing with the GZ1 classifications (i < 18). For fainter galaxies, the visual classification carried out by three of the co-authors shows that the CNN classifier correctly categorizes discy galaxies with rounder and blurred features, which humans often incorrectly visually classify as ellipticals. As a part of the validation, we carry out one of the largest examinations of non-parametric methods, including ∼100 ,000 galaxies with the same coverage of magnitude and redshift as the training set from our catalogue. We find that the Gini coefficient is the best single parameter discriminator between ellipticals and spirals for this data set. | |
dc.language | EN | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks | |
dc.type | Journal article | |
dc.creator.author | Cheng, Ting-Yun | |
dc.creator.author | Conselice, Christopher J. | |
dc.creator.author | Aragón-Salamanca, Alfonso | |
dc.creator.author | Aguena, Michel | |
dc.creator.author | Allam, Sahar | |
dc.creator.author | Andrade-Oliveira, F. | |
dc.creator.author | Annis, J. | |
dc.creator.author | Bluck, A. F. L. | |
dc.creator.author | Brooks, D. | |
dc.creator.author | Burke, David L. | |
dc.creator.author | Carrasco Kind, Matias | |
dc.creator.author | Carretero, Jorge | |
dc.creator.author | Choi, A. | |
dc.creator.author | Costanzi, Matteo | |
dc.creator.author | da Costa, Luiz N. | |
dc.creator.author | Pereira, Maria Elidaiana da Silva | |
dc.creator.author | De Vicente, Juan | |
dc.creator.author | Diehl, Herman T. | |
dc.creator.author | Drlica-Wagner, Alex | |
dc.creator.author | Eckert, K. | |
dc.creator.author | Everett, S. | |
dc.creator.author | Evrard, August E. | |
dc.creator.author | Ferrero, Ismael | |
dc.creator.author | Fosalba, Pablo | |
dc.creator.author | Frieman, Josh | |
dc.creator.author | García-Bellido, Juan | |
dc.creator.author | Gerdes, David W. | |
dc.creator.author | Giannantonio, Tommaso | |
dc.creator.author | Gruen, Daniel | |
dc.creator.author | Gruendl, Robert A. | |
dc.creator.author | Gschwend, Julia | |
dc.creator.author | Gutierrez, G. | |
dc.creator.author | Hinton, Samuel R. | |
dc.creator.author | Hollowood, Devon L. | |
dc.creator.author | Honscheid, Klaus | |
dc.creator.author | James, David J. | |
dc.creator.author | Krause, E. | |
dc.creator.author | Kuehn, Kyler | |
dc.creator.author | Kuropatkin, Nikolay | |
dc.creator.author | Lahav, Ofer | |
dc.creator.author | Maia, Marcio A. G. | |
dc.creator.author | March, Marisa | |
dc.creator.author | Menanteau, Felipe | |
dc.creator.author | Miquel, Ramon | |
dc.creator.author | Morgan, R. | |
dc.creator.author | Paz-Chinchón, Francisco | |
dc.creator.author | Pieres, Adriano | |
dc.creator.author | Plazas Malagón, Andrés A. | |
dc.creator.author | Roodman, A. | |
dc.creator.author | Sanchez, E. | |
dc.creator.author | Scarpine, Vic | |
dc.creator.author | Serrano, S. | |
dc.creator.author | Sevilla-Noarbe, Ignacio | |
dc.creator.author | Smith, Mathew | |
dc.creator.author | Soares-Santos, Marcelle | |
dc.creator.author | Suchyta, E. | |
dc.creator.author | Swanson, Molly E. C. | |
dc.creator.author | Tarlé, Gregory | |
dc.creator.author | Thomas, Daniel | |
dc.creator.author | To, Chun-Hao | |
cristin.unitcode | 185,15,3,0 | |
cristin.unitname | Institutt for teoretisk astrofysikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.cristin | 1998668 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Monthly notices of the Royal Astronomical Society&rft.volume=507&rft.spage=4425&rft.date=2021 | |
dc.identifier.jtitle | Monthly notices of the Royal Astronomical Society | |
dc.identifier.volume | 507 | |
dc.identifier.issue | 3 | |
dc.identifier.startpage | 4425 | |
dc.identifier.endpage | 4444 | |
dc.identifier.doi | https://doi.org/10.1093/mnras/stab2142 | |
dc.identifier.urn | URN:NBN:no-94641 | |
dc.subject.nvi | VDP::Astrofysikk, astronomi: 438 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 0035-8711 | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/92047/1/stab2142.pdf | |
dc.type.version | PublishedVersion | |
dc.relation.project | NFR/287772 |
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