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dc.contributor.authorGondhalekar, Yash
dc.contributor.authorChies-Santos, Ana L
dc.contributor.authorde Souza, Rafael S
dc.contributor.authorQueiroz, Carolina
dc.contributor.authorLopes, Amanda R
dc.contributor.authorFerrari, Fabricio
dc.contributor.authorAzevedo, Gabriel M
dc.contributor.authorMonteiro-Pereira, Hellen
dc.contributor.authorOverzier, Roderik
dc.contributor.authorCastelli, Analía V Smith
dc.contributor.authorJaffé, Yara L
dc.contributor.authorHaack, Rodrigo F
dc.contributor.authorRahna, P T
dc.contributor.authorShen, Shiyin
dc.contributor.authorMu, Zihao
dc.contributor.authorLima-Dias, Ciria
dc.contributor.authorBarbosa, Carlos E
dc.contributor.authorSchwarz, Gustavo B Oliveira
dc.contributor.authorRiffel, Rogério
dc.contributor.authorJimenez-Teja, Yolanda
dc.contributor.authorGrossi, Marco
dc.contributor.authorde Oliveira, Claudia L Mendes
dc.contributor.authorSchoenell, William
dc.contributor.authorRibeiro, Thiago
dc.contributor.authorKanaan, Antonio
dc.date.accessioned2024-07-23T14:45:02Z
dc.date.available2024-07-23T14:45:02Z
dc.date.issued2024-07-01
dc.identifier.citationGondhalekar , Y , Chies-Santos , A L , de Souza , R S , Queiroz , C , Lopes , A R , Ferrari , F , Azevedo , G M , Monteiro-Pereira , H , Overzier , R , Castelli , A V S , Jaffé , Y L , Haack , R F , Rahna , P T , Shen , S , Mu , Z , Lima-Dias , C , Barbosa , C E , Schwarz , G B O , Riffel , R , Jimenez-Teja , Y , Grossi , M , de Oliveira , C L M , Schoenell , W , Ribeiro , T & Kanaan , A 2024 , ' Systematic analysis of jellyfish galaxy candidates in Fornax, Antlia, and Hydra from the S-PLUS survey: A self-supervised visual identification aid ' , Monthly Notices of the Royal Astronomical Society , vol. 532 , no. 1 , stae1410 , pp. 270-294 . https://doi.org/10.1093/mnras/stae1410
dc.identifier.issn0035-8711
dc.identifier.otherBibtex: 10.1093/mnras/stae1410
dc.identifier.otherBibtex: 10.1093/mnras/stae1410
dc.identifier.otherORCID: /0000-0001-7207-4584/work/164401125
dc.identifier.urihttp://hdl.handle.net/2299/28067
dc.description© 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
dc.description.abstractWe study 51 jellyfish galaxy candidates in the Fornax, Antlia, and Hydra clusters. These candidates are identified using the JClass scheme based on the visual classification of wide-field, twelve-band optical images obtained from the Southern Photometric Local Universe Survey. A comprehensive astrophysical analysis of the jellyfish (JClass > 0), non-jellyfish (JClass = 0), and independently organized control samples is undertaken. We develop a semi-automated pipeline using self-supervised learning and similarity search to detect jellyfish galaxies. The proposed framework is designed to assist visual classifiers by providing more reliable JClasses for galaxies. We find that jellyfish candidates exhibit a lower Gini coefficient, higher entropy, and a lower 2D Sérsic index as the jellyfish features in these galaxies become more pronounced. Jellyfish candidates show elevated star formation rates (including contributions from the main body and tails) by 1.75 dex, suggesting a significant increase in the SFR caused by the ram-pressure stripping phenomenon. Galaxies in the Antlia and Fornax clusters preferentially fall towards the cluster's centre, whereas only a mild preference is observed for Hydra galaxies. Our self-supervised pipeline, applied in visually challenging cases, offers two main advantages: it reduces human visual biases and scales effectively for large data sets. This versatile framework promises substantial enhancements in morphology studies for future galaxy image surveys.en
dc.format.extent25
dc.format.extent5043006
dc.language.isoeng
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society
dc.subjectgalaxies: clusters: general
dc.subjectgalaxies: evolution
dc.subjectmethods: statistical
dc.subjectsurveys
dc.subjecttechniques: photometric
dc.subjectAstronomy and Astrophysics
dc.subjectSpace and Planetary Science
dc.titleSystematic analysis of jellyfish galaxy candidates in Fornax, Antlia, and Hydra from the S-PLUS survey: A self-supervised visual identification aiden
dc.contributor.institutionCentre for Astrophysics Research (CAR)
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85197898182&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1093/mnras/stae1410
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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