论文标题
不同无线电形态中广泛吸收线类星体的比例
Fraction of broad absorption line quasars in different radio morphologies
论文作者
论文摘要
在这项研究中，我们使用Sloan Digital Sky Survey（SDSS）数据释放（DR）-16 Quasar Catalog和非常大的阵列（VLA） - 二十厘米（First）调查的广播天空（First）调查中常见的源源（SDSS）数据释放（SDSS）数据释放（DR）数据释放（DR）数据释放（DR）-16 Quasar Catalog和非常大的阵列（VLA）图像。使用第一次调查中的无线电切口图像，我们首先使用卷积神经网络（CNN）设计了一个深度学习模型，将类星体无线电形态分类为仅核心，年轻的喷气机，单叶或三元组。这些无线电形态进一步分为核心主导和以叶子为主的来源。 CNN模型可以为所有形态的子类高精度> 98％的源分类。已解决的核心，核心主导和以叶子为主的类星体中的平均BAL分数与无线电和红外调查推断的BAL分数一致。我们还通过使用无线电核心占主导地位作为方向指标，介绍BAL类星体的分布作为类星体方向的函数。对吉巴尔，小叶和猎物进行了类似的分析。所有无线电形态子类和BAL子类均显示，相对于视线，在喷气机的高方向角度，BAL馏分的增加。我们的分析表明，BAL类星体更有可能在靠近类星体赤道平面的角度中找到。但是，纯粹的取向模型不足，而方向和进化的结合可能是解释完整现象的最佳方法。
In this study, we investigated the orientation model of Broad Absorption Line (BAL) quasars using a sample of sources that are common in Sloan Digital Sky Survey (SDSS) Data Release (DR)-16 quasar catalog and Very Large Array (VLA)-Faint Images of the Radio Sky at Twenty Centimeters (FIRST) survey. Using the radio cut-out images from the FIRST survey, we first designed a deep learning model using convolutional neural networks (CNN) to classify the quasar radio morphologies into the core-only, young jet, single lobe, or triples. These radio morphologies are further sub-classified into core-dominated and lobe-dominated sources. The CNN models can classify the sources with a high precision of >98% for all the morphological sub-classes. The average BAL fraction in the resolved core, core-dominated, and lobe-dominated quasars are consistent with the BAL fraction inferred from radio and infra-red surveys. We also present the distribution of BAL quasars as a function of quasar orientation by using the radio core-dominance as an orientation indicator. A similar analysis is performed for HiBALs, LoBALs, and FeLoBALs. All the radio morphological sub-classes and BAL sub-classes show an increase in BAL fraction at high orientation angles of the jets with respect to the line of sight. Our analysis suggests that BAL quasars are more likely to be found in viewing angles close to the equatorial plane of the quasar. However, a pure orientation model is inadequate, and a combination of orientation and evolution is probably the best way to explain the complete BAL phenomena.
