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arXiv 2205.02423astro-ph.GA
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光谱覆盖有限的残余活动星系核的选择和建模

Selecting and Modelling Remnant AGNs with Limited Spectral Coverage

B. Quici, R. J. Turner, N. Seymour, N. Hurley-Walker, S. S. Shabala, C. H. Ishwara-Chandra

摘要:

由于准确确定中央黑洞关闭后的时间增加了复杂性,因此量化剩余射电大声活动星系核(AGN)的能量和寿命比活动源更具挑战性。残余波瓣的独立频谱建模使得能够推导出残余比$R_\mathrm{rem}$(即“关闭时间/源年龄”),从而将这种复杂性降低到有源源的复杂性。然而,高频($\gtrsim5\,$ GHz)覆盖范围的要求使得这种技术难以应用于大面积无线电勘测。在这项工作中,我们提出了一种新的方法,它依赖于所观察到的Fanaroff-Riley II型叶回流的亮度,结合\emph{Radio AGN in Semi-Analytic Environments}(RAiSE)代码,以测量剩余相位的持续时间。对残余射电星系J2253-34进行了灵敏的射电观测,并将该方法与正则谱分析和建模方法进行了比较。我们发现,每种方法建模的剩余寿命是一致的,光谱建模产生$R_\mathrm{rem} = 0.23\pm0.02$,相比$R_\mathrm{rem} = 0.26\pm0.02$从我们的新方法。我们研究的可行性,我们提出的技术应用到低频无线电调查使用模拟无线电源人口,并研究该技术是否是敏感的无线电活动星系的任何内在属性。我们的研究结果表明,该技术可用于强大的分类活动和残留人口,最有信心的预测残留率,从而关闭时间,在最长寿命的无线电源($>50~$ Myr)和那些在较高的红移($z > 0.1$)。

英文摘要:

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, $R_\mathrm{rem}$, (i.e. `off-time/source age'), thus reducing this complexity back to that of active sources however, the requirement of high-frequency ($\gtrsim5\,$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 \emph{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 $R_\mathrm{rem} = 0.23\pm0.02$, compared to $R_\mathrm{rem} = 0.26\pm0.02$ 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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