Radio loudness and classification for radio sources
Radio loudness and classification for radio sources
复制标题
无线电响度和无线电源分类
DOI：
10.1093/pasj/psaa122
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发表时间：
2021-04
影响因子：
2.3
通讯作者：
Jingtian ZHU
中科院分区：
文献类型：
--
作者：
Lixia ZHANG;Junhui FAN;Jingtian ZHU
文献中使用射电响度(R)将河外射电源分为两个亚类（射电响亮源和射电安静源），定义为射电发射与光发射之比，但在不同的源中，区分这两个类的边界R值是不同的。在这项工作中，使用了第13类星体和活动核目录中的2419个对象的样本来建立两个子类的边界。为此，我们对射电和光学数据进行整理，计算射电和光学指标，进行k校正，得到射电响度，并采用贝叶斯分析方法对射电响度的对数进行分类。我们还研究了无线电响度与无线电/光学光度的相关性。主要结论如下：(1)无线电响度（log R）的对数呈双峰分布，根据贝叶斯分析方法，将log R < 1.26的噪声源归为无线电静音源，将log R < 1.26的噪声源归为无线电噪声源。(2)射电安静源的平均射电光学有效谱指数< αRO > = 0.05，而射电吵闹源的平均射电光学有效谱指数< αRO > = 0.55。(3)在射电噪声源和射电噪声源中，射电亮度与响度均呈正相关。(4)根据贝叶斯分析方法的分类结果，在统计上得到了将射电响度与射电亮度图上的星团分布分开的分界线，设置了射电噪声源与射电安静源的边界，准确率为99.73%。
The extragalactic radio sources are divided into two subclasses (radio-loud and radio-quiet sources) in the literature using radio loudness (R), which is defined as the ratio of radio emission to optical emission, but the boundary R-value separating the two classes is different in various sources. In this work, a sample of 2419 objects from the 13th catalog of quasars and active nuclei is used to build a boundary for the two subclasses. To do so, we compiled the radio and optical data, calculated their radio and optical indexes, made K-correction, obtained the radio loudness, and adopted a Bayesian analysis method to the logarithm of radio loudness for classification. We also investigated the correlations of radio loudness with radio/optical luminosities. Our main conclusions are summarized as follows: (1) The distribution of the logarithm of radio loudness (log R) is bimodal, the sources with log R < 1.26 are classified as radio-quiet sources, and those with log R > 1.26 are classified as radio-loud ones from the Bayesian analysis method. (2) The average radio-optical effective spectral index of radio-quiet sources is 〈αRO〉 = 0.05, while that of radio-loud sources is 〈αRO〉 = 0.55. (3) There are positive correlations between radio luminosity and radio loudness for both radio-loud sources and radio-quiet sources. (4) A dividing line of separating the distribution of the clusters on the diagram of radio loudness against radio luminosity was obtained statistically to set the boundary between radio-loud sources and radio-quiet sources, with an accuracy of $99.73\%$ based on the classification result from the Bayesian analysis method.
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DOI：
10.1007/s11433-019-1454-6
发表时间：
2019-05
期刊：
Science China Physics, Mechanics & Astronomy
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2017-05
期刊：
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影响因子：
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DOI：
10.1017/cbo9781139174404
发表时间：
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期刊：
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