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THE GASEOUS ENVIRONMENTS OF POWERFUL EXTENDED RADIO SOURCES

机译:强大的扩展无线电源的气相环境

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The properties of very powerful extended (FR II) radio sources can be used to probe their gaseous environments. In particular, the velocity of lobe propagation and the lobe minimum energy magnetic field may be used to estimate the density of the ambient gas around a given source. A sample of 14 radio galaxies and eight radio-loud quasars with redshifts from 0 to 2 are studied in detail. The radio data are used to estimate the lobe magnetic field and the lobe propagation velocity. These are combined to obtain an estimate of the ambient gas density in the vicinity of the radio lobe using the equation of ram pressure confinement; generally, two densities are obtained for each source, one for each radio lobe. Several possible selection effects are studied in detail, including the power-redshift selection effect that arises from the fact that the sample is flux limited, and the correlation of radio spectral index with redshift. The key result is that the sources are in gaseous environments similar to those found in low-redshift clusters of galaxies. One of the sources in this study is Cygnus A, and the gaseous environments of the sources studied seem to be similar to that in the vicinity of this low-redshift, very powerful extended radio source. Not only are the typical densities obtained similar to those found in low-redshift clusters, but the composite density profile is as well. Thus, it appears that these sources lie in cluster-like gaseous environments, though the sources are observed out to relatively large redshift, having redshifts between 0 and 2. There is some evidence that the core density of the gaseous environments about the sources evolves with redshift in the sense that higher redshift systems have lower core gas densities, but the data are consistent with a constant core gas mass model in which the core density decreases and the core radius increases with redshift in such a way that the total core gas mass remains roughly constant. It does not seem likely that this result is related to the radio power-redshift selection effect, but it could be related to the radio spectral index-redshift selection effect, and a study of this and other selection effects is continuing. When a simple correction is applied to account for the radio spectral index-redshift selection effect, the negative evolution of the core gas density with redshift is only significant at about the 2 σ level. Several independent observations now indicate that powerful extended radio sources have magnetic field strengths that are lower than estimated minimum energy field strengths. Three independent measures of the offset of the magnetic field from that estimated assuming minimum energy conditions are discussed here and in a companion paper. Consistency between independent measures of the same quantity is obtained if the true magnetic field strength has an offset of about 0.25 from the minimum energy field, a result consistent with that obtained by other groups. In addition, the data presented here can be used to place a limit on the source-to-source dispersion of the offset. It is shown that most sources probably have a very similar offset; the source-to-source dispersion in the offset is likely to be less than about 15%.
机译:非常强大的扩展(FR II)无线电源的特性可用于探测其气态环境。特别地,波瓣传播的速度和波瓣最小能量磁场可用于估计给定源周围的环境气体的密度。详细研究了14个射电星系和8个红移从0到2的射电类星体的样本。无线电数据用于估计波瓣磁场和波瓣传播速度。使用冲压压力限制方程,将它们组合起来以获得无线电波瓣附近的环境气体密度的估算值;通常,每个源获得两种密度,每个无线电波瓣获得一个密度。详细研究了几种可能的选择效果,包括由于样本受通量限制这一事实引起的功率红移选择效果,以及无线电频谱指数与红移的相关性。关键结果是,这些源处于气态环境,类似于在低红移星系团中发现的气态环境。这项研究的来源之一是天鹅座A,研究的来源的气体环境似乎类似于这种低红移,功能强大的扩展无线电源附近的气体环境。获得的典型密度不仅与低红移群集中的密度相似,而且复合密度分布图也是如此。因此,似乎这些源位于簇状气态环境中,尽管观察到这些源具有相对较大的红移,红移在0和2之间。一些证据表明,围绕这些源的气态环境的核心密度随红移是指较高的红移系统具有较低的核心气体密度,但数据与恒定的核心气体质量模型一致,在该模型中,随着红移,核心密度减小而核心半径增大,从而总核心气体质量保持不变大致恒定。该结果似乎不太可能与无线电功率红移选择效果有关,但可能与无线电频谱索引红移选择效果有关,并且正在继续对此和其他选择效果进行研究。当应用简单的校正来解决无线电频谱索引-红移选择效应时,具有红移的核心气体密度的负演变仅在大约2σ时才有意义。现在有几个独立的观察结果表明,强大的扩展无线电源的磁场强度低于估计的最小能量场强度。此处和随附的论文中讨论了三种与磁场偏移相对应的独立测量值,这些测量值是在假设最小能量条件下得出的。如果真实磁场强度与最小能量场之间的偏移约为0.25,则将获得相同数量的独立度量之间的一致性,该结果与其他组所获得的结果一致。此外,此处提供的数据可用于限制偏移源到源的色散。结果表明,大多数源可能具有非常相似的偏移量。偏移中源到源的色散可能小于约15%。

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