The impact of human expert visual inspection on the discovery of strong gravitational lenses

K. Rojas et al.: Karina Rojas, Thomas E Collett, Daniel Ballard, Mark R Magee, Simon Birrer, Elizabeth Buckley-Geer, James H H Chan, Benjamin Clément, José M Diego, Fabrizio Gentile, Jimena González, Rémy Joseph, Jorge Mastache, Stefan Schuldt, Crescenzo Tortora, Tomás Verdugo, Aprajita Verma, Tansu...

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Detalhes bibliográficos
Autores: Rojas, Karina, Collett, Thomas E., Diego, José María
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/350282
Acesso em linha:http://hdl.handle.net/10261/350282
Access Level:acceso abierto
Palavra-chave:Gravitational lensing: strong
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dc.title.none.fl_str_mv The impact of human expert visual inspection on the discovery of strong gravitational lenses
title The impact of human expert visual inspection on the discovery of strong gravitational lenses
spellingShingle The impact of human expert visual inspection on the discovery of strong gravitational lenses
Rojas, Karina
Gravitational lensing: strong
title_short The impact of human expert visual inspection on the discovery of strong gravitational lenses
title_full The impact of human expert visual inspection on the discovery of strong gravitational lenses
title_fullStr The impact of human expert visual inspection on the discovery of strong gravitational lenses
title_full_unstemmed The impact of human expert visual inspection on the discovery of strong gravitational lenses
title_sort The impact of human expert visual inspection on the discovery of strong gravitational lenses
dc.creator.none.fl_str_mv Rojas, Karina
Collett, Thomas E.
Diego, José María
author Rojas, Karina
author_facet Rojas, Karina
Collett, Thomas E.
Diego, José María
author_role author
author2 Collett, Thomas E.
Diego, José María
author2_role author
author
dc.contributor.none.fl_str_mv European Commission
European Research Council
Royal Society (UK)
UK Research and Innovation
Science and Technology Facilities Council (UK)
Ministero dell'Istruzione, dell'Università e della Ricerca
Knut and Alice Wallenberg Foundation
Swiss National Science Foundation
Max Planck Society
John Templeton Foundation
German Research Foundation
NASA
Consejo Nacional de Ciencia y Tecnología (México)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Gravitational lensing: strong
topic Gravitational lensing: strong
description K. Rojas et al.: Karina Rojas, Thomas E Collett, Daniel Ballard, Mark R Magee, Simon Birrer, Elizabeth Buckley-Geer, James H H Chan, Benjamin Clément, José M Diego, Fabrizio Gentile, Jimena González, Rémy Joseph, Jorge Mastache, Stefan Schuldt, Crescenzo Tortora, Tomás Verdugo, Aprajita Verma, Tansu Daylan, Martin Millon, Neal Jackson, Simon Dye, Alejandra Melo, Guillaume Mahler, Ricardo L C Ogando, Frédéric Courbin, Alexander Fritz, Aniruddh Herle, Javier A Acevedo Barroso, Raoul Cañameras, Claude Cornen, Birendra Dhanasingham, Karl Glazebrook, Michael N Martinez, Dan Ryczanowski, Elodie Savary, Filipe Góis-Silva, L Arturo Ureña-López, Matthew P Wiesner, Joshua Wilde, Gabriel Valim Calçada, Rémi Cabanac, Yue Pan, Isaac Sierra, Giulia Despali, Micaele V Cavalcante-Gomes, Christine Macmillan, Jacob Maresca, Aleksandra Grudskaia, Jackson H O’Donnell, Eric Paic, Anna Niemiec, Lucia F de la Bella, Jane Bromley, Devon M Williams, Anupreeta More, Benjamin C Levine.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/350282
url http://hdl.handle.net/10261/350282
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/EC/H2020/945536
info:eu-repo/grantAgreement/EC/H2020/787886
info:eu-repo/grantAgreement/EC/H2020/771776
info:eu-repo/grantAgreement/EC/H2020/896778
The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1093/mnras/stad1680
https://doi.org/10.1093/mnras/stad1680
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
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spelling The impact of human expert visual inspection on the discovery of strong gravitational lensesRojas, KarinaCollett, Thomas E.Diego, José MaríaGravitational lensing: strongK. Rojas et al.: Karina Rojas, Thomas E Collett, Daniel Ballard, Mark R Magee, Simon Birrer, Elizabeth Buckley-Geer, James H H Chan, Benjamin Clément, José M Diego, Fabrizio Gentile, Jimena González, Rémy Joseph, Jorge Mastache, Stefan Schuldt, Crescenzo Tortora, Tomás Verdugo, Aprajita Verma, Tansu Daylan, Martin Millon, Neal Jackson, Simon Dye, Alejandra Melo, Guillaume Mahler, Ricardo L C Ogando, Frédéric Courbin, Alexander Fritz, Aniruddh Herle, Javier A Acevedo Barroso, Raoul Cañameras, Claude Cornen, Birendra Dhanasingham, Karl Glazebrook, Michael N Martinez, Dan Ryczanowski, Elodie Savary, Filipe Góis-Silva, L Arturo Ureña-López, Matthew P Wiesner, Joshua Wilde, Gabriel Valim Calçada, Rémi Cabanac, Yue Pan, Isaac Sierra, Giulia Despali, Micaele V Cavalcante-Gomes, Christine Macmillan, Jacob Maresca, Aleksandra Grudskaia, Jackson H O’Donnell, Eric Paic, Anna Niemiec, Lucia F de la Bella, Jane Bromley, Devon M Williams, Anupreeta More, Benjamin C Levine.We investigate the ability of human ‘expert’ classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25 per cent of the project. During the classification task, we present to the participants 1489 images. The sample contains a variety of data including lens simulations, real lenses, non-lens examples, and unlabelled data. We find that experts are extremely good at finding bright, well-resolved Einstein rings, while arcs with g-band signal to noise less than ∼25 or Einstein radii less than ∼1.2 times the seeing are rarely recovered. Very few non-lenses are scored highly. There is substantial variation in the performance of individual classifiers, but they do not appear to depend on the classifier’s experience, confidence or academic position. These variations can be mitigated with a team of 6 or more independent classifiers. Our results give confidence that humans are a reliable pruning step for lens candidates, providing pure and quantifiably complete samples for follow-up studies.This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (LensEra: grant agreement no. 945536). TC is funded by the Royal Society through a University Research Fellowship. For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any author-accepted manuscript version arising. DB is funded by a graduate studentship from UK Research and Innovation’s STFC and the University of Portsmouth. This work is also in part supported by the Swiss National Science Foundation (SNSF) and by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (COSMICLENS: grant agreement no. 787886). JHHC acknowledge the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures programme. FG acknowledges the support from grant PRIN MIUR 2017–20173ML3WW_001. RJ acknowledges the support from the research project grant ‘Understanding the Dynamic Universe’ funded by the Knut and Alice Wallenberg Foundation under Dnr KAW 2018.0067. SS thank the Max Planck Society for support through the Max Planck Research Group for SHS. This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (LENSNOVA: grant agreement no. 771776). This research is supported in part by the Excellence Cluster ORIGINS which is funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) under Germany’s Excellence Strategy – EXC-2094-390783311. TD Thanks the support by an LSSTC Catalyst Fellowship awarded by LSST Corporation with funding from the John Templeton Foundation grant ID #62192. GM acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie SkÅĆodowska-Curie grant agreement no. MARACHAS-DLV-896778. BD was supported in part by the NASA Astrophysics Theory Program under grant 80NSSC18K1014. FGS and GVC Coordenação de Aperfeiçoamento de Pessoal de Ensino Superior (CAPES) – Finance Code 001 LAU-L thanks CONACyT México for support under grants A1-S-17899, 286897, 297771, 304001; and the Instituto Avanzado de Cosmología Collaboration. JW was supported by the Science and Technology Facilities Council under grant number ST/P006760/1, the DISCnet Centre for Doctoral Training in Data-Intensive Science. JM acknowledges the support of the UK Science and Technology Facilities Council (STFC).Peer reviewedOxford University PressEuropean CommissionEuropean Research CouncilRoyal Society (UK)UK Research and InnovationScience and Technology Facilities Council (UK)Ministero dell'Istruzione, dell'Università e della RicercaKnut and Alice Wallenberg FoundationSwiss National Science FoundationMax Planck SocietyJohn Templeton FoundationGerman Research FoundationNASAConsejo Nacional de Ciencia y Tecnología (México)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/350282reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/945536info:eu-repo/grantAgreement/EC/H2020/787886info:eu-repo/grantAgreement/EC/H2020/771776info:eu-repo/grantAgreement/EC/H2020/896778The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1093/mnras/stad1680https://doi.org/10.1093/mnras/stad1680Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3502822026-05-22T06:33:51Z
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