Selecting and modelling remnant AGNs with limited spectral coverage

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 enab...

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Main Authors: Quici, B., Turner, Ross, Seymour, Nick, Hurley-Walker, Natasha, Shabala, S.S., Ishwara-Chandra, C.H.
Format: Journal Article
Language:English
Published: OXFORD UNIV PRESS 2022
Subjects:
Online Access:http://purl.org/au-research/grants/arc/FT190100231
http://hdl.handle.net/20.500.11937/91781
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author Quici, B.
Turner, Ross
Seymour, Nick
Hurley-Walker, Natasha
Shabala, S.S.
Ishwara-Chandra, C.H.
author_facet Quici, B.
Turner, Ross
Seymour, Nick
Hurley-Walker, Natasha
Shabala, S.S.
Ishwara-Chandra, C.H.
author_sort Quici, B.
building Curtin Institutional Repository
collection Online Access
description 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).
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spelling curtin-20.500.11937-917812023-05-16T02:53:33Z Selecting and modelling remnant AGNs with limited spectral coverage Quici, B. Turner, Ross Seymour, Nick Hurley-Walker, Natasha Shabala, S.S. Ishwara-Chandra, C.H. Science & Technology Physical Sciences Astronomy & Astrophysics galaxies: active galaxies: jets radio continuum: galaxies ACTIVE GALACTIC NUCLEI II RADIO GALAXIES DUTY-CYCLE EVOLUTION CLUSTERS LOFAR MASS MORPHOLOGY ENERGETICS SCIENCE astro-ph.GA astro-ph.GA 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). 2022 Journal Article http://hdl.handle.net/20.500.11937/91781 10.1093/mnras/stac1328 English http://purl.org/au-research/grants/arc/FT190100231 OXFORD UNIV PRESS fulltext
spellingShingle Science & Technology
Physical Sciences
Astronomy & Astrophysics
galaxies: active
galaxies: jets
radio continuum: galaxies
ACTIVE GALACTIC NUCLEI
II RADIO GALAXIES
DUTY-CYCLE
EVOLUTION
CLUSTERS
LOFAR
MASS
MORPHOLOGY
ENERGETICS
SCIENCE
astro-ph.GA
astro-ph.GA
Quici, B.
Turner, Ross
Seymour, Nick
Hurley-Walker, Natasha
Shabala, S.S.
Ishwara-Chandra, C.H.
Selecting and modelling remnant AGNs with limited spectral coverage
title Selecting and modelling remnant AGNs with limited spectral coverage
title_full Selecting and modelling remnant AGNs with limited spectral coverage
title_fullStr Selecting and modelling remnant AGNs with limited spectral coverage
title_full_unstemmed Selecting and modelling remnant AGNs with limited spectral coverage
title_short Selecting and modelling remnant AGNs with limited spectral coverage
title_sort selecting and modelling remnant agns with limited spectral coverage
topic Science & Technology
Physical Sciences
Astronomy & Astrophysics
galaxies: active
galaxies: jets
radio continuum: galaxies
ACTIVE GALACTIC NUCLEI
II RADIO GALAXIES
DUTY-CYCLE
EVOLUTION
CLUSTERS
LOFAR
MASS
MORPHOLOGY
ENERGETICS
SCIENCE
astro-ph.GA
astro-ph.GA
url http://purl.org/au-research/grants/arc/FT190100231
http://hdl.handle.net/20.500.11937/91781