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dc.contributor.authorQuici, B.
dc.contributor.authorTurner, Ross
dc.contributor.authorSeymour, Nick
dc.contributor.authorHurley-Walker, Natasha
dc.contributor.authorShabala, S.S.
dc.contributor.authorIshwara-Chandra, C.H.
dc.date.accessioned2023-04-26T08:33:38Z
dc.date.available2023-04-26T08:33:38Z
dc.date.issued2022
dc.identifier.citationQuici, B. and Turner, R.J. and Seymour, N. and Hurley-Walker, N. and Shabala, S.S. and Ishwara-Chandra, C.H. 2022. Selecting and modelling remnant AGNs with limited spectral coverage. Monthly Notices of the Royal Astronomical Society. 514 (3): pp. 3466-3484.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/91781
dc.identifier.doi10.1093/mnras/stac1328
dc.description.abstract

Quantifying the energetics and lifetimes of remnant radio-loud active galactic nuclei (AGNs) is much more challenging than for active sources due to the added complexity of accurately determining the time since the central black hole switched off. Independent spectral modelling of remnant lobes enables the derivation of the remnant ratio, Rrem (i.e. 'off-time/source age'); however, the requirement of high-frequency (≳5 GHz) coverage makes the application of this technique over large-area radio surveys difficult. In this work, we propose a new method, which relies on the observed brightness of backflow of Fanaroff-Riley type II lobes, combined with the Radio AGN in Semi-Analytic Environments (RAiSE) code, to measure the duration of the remnant phase. Sensitive radio observations of the remnant radio galaxy J2253-34 are obtained to provide a robust comparison of this technique with the canonical spectral analysis and modelling methods. We find that the remnant lifetimes modelled by each method are consistent; spectral modelling yields Rrem = 0.23 ± 0.02, compared to Rrem = 0.26 ± 0.02 from our new method. We examine the viability of applying our proposed technique to low-frequency radio surveys using mock radio source populations, and examine whether the technique is sensitive to any intrinsic properties of radio AGNs. Our results show that the technique can be used to robustly classify active and remnant populations, with the most confident predictions for the remnant ratio, and thus off-time, in the longest lived radio sources (>50 Myr) and those at higher redshifts (z > 0.1).

dc.languageEnglish
dc.publisherOXFORD UNIV PRESS
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/FT190100231
dc.subjectScience & Technology
dc.subjectPhysical Sciences
dc.subjectAstronomy & Astrophysics
dc.subjectgalaxies: active
dc.subjectgalaxies: jets
dc.subjectradio continuum: galaxies
dc.subjectACTIVE GALACTIC NUCLEI
dc.subjectII RADIO GALAXIES
dc.subjectDUTY-CYCLE
dc.subjectEVOLUTION
dc.subjectCLUSTERS
dc.subjectLOFAR
dc.subjectMASS
dc.subjectMORPHOLOGY
dc.subjectENERGETICS
dc.subjectSCIENCE
dc.subjectastro-ph.GA
dc.subjectastro-ph.GA
dc.titleSelecting and modelling remnant AGNs with limited spectral coverage
dc.typeJournal Article
dcterms.source.volume514
dcterms.source.number3
dcterms.source.startPage3466
dcterms.source.endPage3484
dcterms.source.issn0035-8711
dcterms.source.titleMonthly Notices of the Royal Astronomical Society
dc.date.updated2023-04-26T08:33:32Z
curtin.note

This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society. ©: 2022 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidTurner, Ross [0000-0002-4376-5455]
curtin.contributor.orcidSeymour, Nick [0000-0003-3506-5536]
curtin.contributor.orcidHurley-Walker, Natasha [0000-0002-5119-4808]
curtin.contributor.researcheridSeymour, Nick [M-4698-2017]
dcterms.source.eissn1365-2966
curtin.contributor.scopusauthoridTurner, Ross [55958127500]
curtin.contributor.scopusauthoridSeymour, Nick [56273677800]
curtin.contributor.scopusauthoridHurley-Walker, Natasha [23972734500]
curtin.repositoryagreementV3


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