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Polarization Study of Swift J151857.0–572147 with IXPE Observation 利用 IXPE 观测对 Swift J151857.0-572147 进行极化研究
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-09-12 DOI: 10.1088/1674-4527/ad6edf
Yu-Shan Ling, Fei Xie, Ming-Yu Ge and Fabio La Monaca
We present an analysis of the Imaging X-ray Polarimetry Explorer observation from a newly discovered transient source: Swift J151857.0–572147. The obtained polarization degree (PD) and angle are 0.3% ± 0.3% and −24° ± 26° respectively in 2–8 keV within 68% confidence level errors, and polarization results are below MDP99 in all energy bins, with the upper limit on PD of 0.8% in the 2–8 keV energy range. No quasi-periodic oscillations (QPOs) are detected in this observation. The polarization and QPO analyses support the hypothesis that the source was in the high soft state, and the results are consistent with predictions for a thin accretion disk model.
我们将对来自一个新发现的瞬变源的成像 X 射线偏振探测仪观测数据进行分析:Swift J151857.0-572147。获得的偏振度(PD)和偏振角分别为 0.3% ± 0.3% 和 -24° ± 26°(2-8keV),置信度误差在 68% 以内,偏振结果在所有能量段都低于 MDP99,2-8keV 能量范围内的偏振度上限为 0.8%。在这次观测中没有发现准周期振荡(QPO)。偏振和 QPO 分析支持了源处于高软状态的假设,结果与薄吸积盘模型的预测一致。
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引用次数: 0
Constraining the Earth-mass Primordial Black Hole Mergers Model of the Non-repeating FRBs Using the First CHIME/FRB Catalog 利用第一个 CHIME/FRB 目录约束非重复 FRB 的地球质量原始黑洞合并模型
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-09-09 DOI: 10.1088/1674-4527/ad6fe7
Min Meng, Qiu-Ju Huang, Can-Min Deng
In this paper, we upgrade the constraints for the Earth-mass primordial black hole mergers model based on the first Canadian Hydrogen Intensity Mapping Experiment (CHIME)/fast radio burst (FRB) catalog. Assuming the null hypothesis that the observed non-repeating FRBs originate from Earth-mass primordial black hole mergers, we find that how the charges were distributed in the primordial black hole population is well described by a double power-law function with typical charge value of <inline-formula><tex-math><?CDATA ${q}_{{rm{c}}}/{10}^{-5}={1.60}_{-0.28}^{+0.28}$?></tex-math><mml:math overflow="scroll"><mml:msub><mml:mrow><mml:mi>q</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">c</mml:mi></mml:mrow></mml:msub><mml:mrow><mml:mo stretchy="true">/</mml:mo></mml:mrow><mml:msup><mml:mrow><mml:mn>10</mml:mn></mml:mrow><mml:mrow><mml:mo>−</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:msup><mml:mo>=</mml:mo><mml:msubsup><mml:mrow><mml:mn>1.60</mml:mn></mml:mrow><mml:mrow><mml:mo>−</mml:mo><mml:mn>0.28</mml:mn></mml:mrow><mml:mrow><mml:mo>+</mml:mo><mml:mn>0.28</mml:mn></mml:mrow></mml:msubsup></mml:math><inline-graphic xlink:href="raaad6fe7ieqn1.gif" xlink:type="simple"></inline-graphic></inline-formula>, where the power-law index <inline-formula><tex-math><?CDATA ${alpha }_{1}={2.33}_{-0.18}^{+0.15}$?></tex-math><mml:math overflow="scroll"><mml:msub><mml:mrow><mml:mi>α</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msubsup><mml:mrow><mml:mn>2.33</mml:mn></mml:mrow><mml:mrow><mml:mo>−</mml:mo><mml:mn>0.18</mml:mn></mml:mrow><mml:mrow><mml:mo>+</mml:mo><mml:mn>0.15</mml:mn></mml:mrow></mml:msubsup></mml:math><inline-graphic xlink:href="raaad6fe7ieqn2.gif" xlink:type="simple"></inline-graphic></inline-formula> for <italic toggle="yes">q</italic> < <italic toggle="yes">q</italic><sub>c</sub> and <inline-formula><tex-math><?CDATA ${alpha }_{2}={4.56}_{-0.26}^{+0.30}$?></tex-math><mml:math overflow="scroll"><mml:msub><mml:mrow><mml:mi>α</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msubsup><mml:mrow><mml:mn>4.56</mml:mn></mml:mrow><mml:mrow><mml:mo>−</mml:mo><mml:mn>0.26</mml:mn></mml:mrow><mml:mrow><mml:mo>+</mml:mo><mml:mn>0.30</mml:mn></mml:mrow></mml:msubsup></mml:math><inline-graphic xlink:href="raaad6fe7ieqn3.gif" xlink:type="simple"></inline-graphic></inline-formula> for <italic toggle="yes">q</italic> ≥ <italic toggle="yes">q</italic><sub>c</sub>. Here, <italic toggle="yes">q</italic> represents the charge of the black hole in units of <inline-formula><tex-math><?CDATA $sqrt{G}M$?></tex-math><mml:math overflow="scroll"><mml:msqrt><mml:mrow><mml:mi>G</mml:mi></mml:mrow></mml:msqrt><mml:mi>M</mml:mi></mml:math><inline-graphic xlink:href="raaad6fe7ieqn4.gif" xlink:type="simple"></inline-graphic></inline-formula>, where <italic toggle="yes">M</italic> is the mass of the black hole. Furthermore, we infer the local event rate of
在本文中,我们基于第一份加拿大氢强度绘图实验(CHIME)/快速射电暴(FRB)目录,升级了对地球质量原始黑洞合并模型的约束。假设零假设是观测到的非重复FRB源自地球质量的原始黑洞合并,我们发现原始黑洞群中电荷的分布可以用双幂律函数很好地描述,典型电荷值为qc/10-5=1.60-0.28+0.28,其中q < qc时幂律指数α1=2.33-0.18+0.15,q≥qc时α2=4.56-0.26+0.30。这里,q 代表黑洞的电荷,单位是 GM,其中 M 是黑洞的质量。此外,我们推断爆发的本地事件率为8.8-2.1+5.7×104Gpc-3yr-1,这表明要解释CHIME观测到的FRB,需要原始黑洞种群的丰度f ≳ 10-4。本文的研究结果为进一步研究原始黑洞合并产生的电磁辐射背景奠定了基础。
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Assuming the null hypothesis that the observed non-repeating FRBs originate from Earth-mass primordial black hole mergers, we find that how the charges were distributed in the primordial black hole population is well described by a double power-law function with typical charge value of &lt;inline-formula&gt;\u0000&lt;tex-math&gt;\u0000&lt;?CDATA ${q}_{{rm{c}}}/{10}^{-5}={1.60}_{-0.28}^{+0.28}$?&gt;\u0000&lt;/tex-math&gt;\u0000&lt;mml:math overflow=\"scroll\"&gt;&lt;mml:msub&gt;&lt;mml:mrow&gt;&lt;mml:mi&gt;q&lt;/mml:mi&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mi mathvariant=\"normal\"&gt;c&lt;/mml:mi&gt;&lt;/mml:mrow&gt;&lt;/mml:msub&gt;&lt;mml:mrow&gt;&lt;mml:mo stretchy=\"true\"&gt;/&lt;/mml:mo&gt;&lt;/mml:mrow&gt;&lt;mml:msup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;10&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;5&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msup&gt;&lt;mml:mo&gt;=&lt;/mml:mo&gt;&lt;mml:msubsup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;1.60&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;0.28&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;+&lt;/mml:mo&gt;&lt;mml:mn&gt;0.28&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msubsup&gt;&lt;/mml:math&gt;\u0000&lt;inline-graphic xlink:href=\"raaad6fe7ieqn1.gif\" xlink:type=\"simple\"&gt;&lt;/inline-graphic&gt;\u0000&lt;/inline-formula&gt;, where the power-law index &lt;inline-formula&gt;\u0000&lt;tex-math&gt;\u0000&lt;?CDATA ${alpha }_{1}={2.33}_{-0.18}^{+0.15}$?&gt;\u0000&lt;/tex-math&gt;\u0000&lt;mml:math overflow=\"scroll\"&gt;&lt;mml:msub&gt;&lt;mml:mrow&gt;&lt;mml:mi&gt;α&lt;/mml:mi&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msub&gt;&lt;mml:mo&gt;=&lt;/mml:mo&gt;&lt;mml:msubsup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;2.33&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;0.18&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;+&lt;/mml:mo&gt;&lt;mml:mn&gt;0.15&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msubsup&gt;&lt;/mml:math&gt;\u0000&lt;inline-graphic xlink:href=\"raaad6fe7ieqn2.gif\" xlink:type=\"simple\"&gt;&lt;/inline-graphic&gt;\u0000&lt;/inline-formula&gt; for &lt;italic toggle=\"yes\"&gt;q&lt;/italic&gt; &lt; &lt;italic toggle=\"yes\"&gt;q&lt;/italic&gt;\u0000&lt;sub&gt;c&lt;/sub&gt; and &lt;inline-formula&gt;\u0000&lt;tex-math&gt;\u0000&lt;?CDATA ${alpha }_{2}={4.56}_{-0.26}^{+0.30}$?&gt;\u0000&lt;/tex-math&gt;\u0000&lt;mml:math overflow=\"scroll\"&gt;&lt;mml:msub&gt;&lt;mml:mrow&gt;&lt;mml:mi&gt;α&lt;/mml:mi&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;2&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msub&gt;&lt;mml:mo&gt;=&lt;/mml:mo&gt;&lt;mml:msubsup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;4.56&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;0.26&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;+&lt;/mml:mo&gt;&lt;mml:mn&gt;0.30&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msubsup&gt;&lt;/mml:math&gt;\u0000&lt;inline-graphic xlink:href=\"raaad6fe7ieqn3.gif\" xlink:type=\"simple\"&gt;&lt;/inline-graphic&gt;\u0000&lt;/inline-formula&gt; for &lt;italic toggle=\"yes\"&gt;q&lt;/italic&gt; ≥ &lt;italic toggle=\"yes\"&gt;q&lt;/italic&gt;\u0000&lt;sub&gt;c&lt;/sub&gt;. Here, &lt;italic toggle=\"yes\"&gt;q&lt;/italic&gt; represents the charge of the black hole in units of &lt;inline-formula&gt;\u0000&lt;tex-math&gt;\u0000&lt;?CDATA $sqrt{G}M$?&gt;\u0000&lt;/tex-math&gt;\u0000&lt;mml:math overflow=\"scroll\"&gt;&lt;mml:msqrt&gt;&lt;mml:mrow&gt;&lt;mml:mi&gt;G&lt;/mml:mi&gt;&lt;/mml:mrow&gt;&lt;/mml:msqrt&gt;&lt;mml:mi&gt;M&lt;/mml:mi&gt;&lt;/mml:math&gt;\u0000&lt;inline-graphic xlink:href=\"raaad6fe7ieqn4.gif\" xlink:type=\"simple\"&gt;&lt;/inline-graphic&gt;\u0000&lt;/inline-formula&gt;, where &lt;italic toggle=\"yes\"&gt;M&lt;/italic&gt; is the mass of the black hole. Furthermore, we infer the local event rate of","PeriodicalId":54494,"journal":{"name":"Research in Astronomy and Astrophysics","volume":"2021 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142191301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The GECAM Real-time Burst Alert System GECAM 实时突发警报系统
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-09-04 DOI: 10.1088/1674-4527/ad6839
Yue Huang, Dongli Shi, Xiaolu Zhang, Xiang Ma, Peng Zhang, Shijie Zheng, Liming Song, Xiaoyun Zhao, Wei Chen, Rui Qiao, Xinying Song, Jin Wang, Ce Cai, Shuo Xiao, Yanqiu Zhang, Shaolin Xiong
Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM), consisting of two micro-satellites, is designed to detect gamma-ray bursts associated with gravitational-wave events. Here, we introduce the real-time burst alert system of GECAM, with the adoption of the BeiDou-3 short message communication service. We present the post-trigger operations, the detailed ground-based analysis, and the performance of the system. In the first year of the in-flight operation, GECAM was triggered by 42 gamma-ray bursts. The GECAM real-time burst alert system has the ability to distribute the alert within ∼1 minute after being triggered, which enables timely follow-up observations.
引力波高能电磁对应全天空监视器(GECAM)由两颗微型卫星组成,旨在探测与引力波事件相关的伽马射线暴。在此,我们介绍了采用北斗三号短报文通信服务的伽马射线暴实时警报系统。我们介绍了触发后的操作、详细的地面分析以及系统的性能。在飞行中运行的第一年,GECAM 被 42 个伽马射线暴触发。GECAM实时伽马射线暴警报系统能够在触发后1分钟内发布警报,以便及时进行后续观测。
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引用次数: 0
A Localization Method of High Energy Transients for All-sky Gamma-ray Monitor 用于全天空伽马射线监测的高能瞬变定位方法
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-09-03 DOI: 10.1088/1674-4527/ad683b
Yi Zhao, Wangchen Xue, Shaolin Xiong, Qi Luo, Yuanhao Wang, Jiacong Liu, Heng Yu, Xiaoyun Zhao, Yue Huang, Jinyuan Liao, Jianchao Sun, Xiaobo Li, Qibin Yi, Ce Cai, Shuo Xiao, Shenglun Xie, Chao Zheng, Yanqiu Zhang, Chenwei Wang, Wenjun Tan, Zhiwei Guo, Chaoyang Li, Zhenghua An, Gang Chen, Yanqi Du, Min Gao, Ke Gong, Dongya Guo, Jiang He, Jianjian He, Bing Li, Gang Li, Xinqiao Li, Jing Liang, Xiaohua Liang, Yaqing Liu, Xiang Ma, Rui Qiao, Liming Song, Xinying Song, Xilei Sun, Jin Wang, Ping Wang, Xiangyang Wen, Hong Wu, Yanbing Xu, Sheng Yang, Dali Zhang, Fan Zhang, Hongmei Zhang, Peng Zhang, Shu Zhang, Zhen Zhang, Shijie Zheng, Keke Zhang, Xingbo Han, Haiyan Wu, Hu Tai, Hao Geng, Gaopeng Lu, Wei Xu, Fanchao Lyu, Hongbo Zhang, Fangjun Lu, Shuangnan Zhang
Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up observations. Localization based on the relative counts of different detectors has been widely used for all-sky gamma-ray monitors. There are two major methods for this count distribution localization: χ2 minimization method and the Bayesian method. Here we propose a modified Bayesian method that could take advantage of both the accuracy of the Bayesian method and the simplicity of the χ2 method. With comprehensive simulations, we find that our Bayesian method with Poisson likelihood is generally more applicable for various bursts than the χ2 method, especially for weak bursts. We further proposed a location-spectrum iteration approach based on the Bayesian inference, which could alleviate the problems caused by the spectral difference between the burst and location templates. Our method is very suitable for scenarios with limited computation resources or time-sensitive applications, such as in-flight localization software, and low-latency localization for rapidly follow-up observations.
对高能瞬变进行快速可靠的定位,对于描述爆发特性和指导后续观测至关重要。基于不同探测器相对计数的定位方法已被广泛用于全天空伽马射线监测。这种计数分布定位有两种主要方法:χ2最小化法和贝叶斯法。在这里,我们提出了一种改进的贝叶斯方法,它既能利用贝叶斯方法的精确性,又能利用χ2方法的简便性。通过综合模拟,我们发现我们的泊松似然贝叶斯方法比 χ2 方法更适用于各种突发,尤其是弱突发。我们进一步提出了一种基于贝叶斯推理的位置-频谱迭代方法,它可以缓解突发和位置模板之间的频谱差异所带来的问题。我们的方法非常适合计算资源有限或时间敏感的应用场景,如飞行定位软件和快速跟踪观测的低延迟定位。
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引用次数: 0
The In-Flight Realtime Trigger and Localization Software of GECAM GECAM 的飞行实时触发和定位软件
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-09-03 DOI: 10.1088/1674-4527/ad683c
Xiao-Yun Zhao, Shao-Lin Xiong, Xiang-Yang Wen, Xin-Qiao Li, Ce Cai, Shuo Xiao, Qi Luo, Wen-Xi Peng, Dong-Ya Guo, Zheng-Hua An, Ke Gong, Jin-Yuan Liao, Yan-Qiu Zhang, Yue Huang, Lu Li, Xing Wen, Fei Zhang, Jing Duan, Chen-Wei Wang, Dong-Li Shi, Peng Zhang, Qi-Bin Yi, Chao-Yang Li, Yan-Bing Xu, Xiao-Hua Liang, Ya-Qing Liu, Da-Li Zhang, Xi-Lei Sun, Fan Zhang, Gang Chen, Huan-Yu Wang, Sheng Yang, Xiao-Jing Liu, Min Gao, Mao-Shun Li, Jin-Zhou Wang, Xing Zhou, Yi Zhao, Wang-Chen Xue, Chao Zheng, Jia-Cong Liu, Xing-Bo Han, Jin-Ling Qi, Jia Huang, Ke-Ke Zhang, Can Chen, Xiong-Tao Yang, Dong-Jie Hou, Yu-Sa Wang, Rui Qiao, Xiang Ma, Xiao-Bo Li, Ping Wang, Xin-Ying Song, Li-Ming Song, Shi-Jie Zheng, Bing Li, Hong-Mei Zhang, Yue Zhu, Wei Chen, Jian-Jian He, Zhen Zhang, Jin Hou, Hong-Jun Wang, Yan-Chao Hao, Xiang-Yu Wang, Zong-Yuan Yang, Zhi-Long Wen, Zhi Chang, Yuan-Yuan Du, Rui Gao, Xiao-Fei Lan, Yan-Guo Li, Gang Li, Xu-Fang Li, Fang-Jun Lu, Hong Lu, Bin Meng, Feng Shi, Hui Wang, Hui-Zhen Wang, Yu-Peng Xu, Jia-Wei Yang, Xue-Juan Yang, Shuang-Nan Zhang, Chao-Yue Zhang, Cheng-Mo Zhang, Zhi-Cheng Tang, Cheng Cheng
Realtime trigger and localization of bursts are the key functions of GECAM, an all-sky gamma-ray monitor launched on 2020 December 10. We developed a multifunctional trigger and localization software operating in the CPU of the GECAM Electronic Box. This onboard software has the following features: high trigger efficiency for real celestial bursts with a suppression of false triggers caused by charged particle bursts and background fluctuation, dedicated localization algorithm optimized for both short and long bursts, and low time latency of the trigger information which is downlinked through the Global Short Message Communication service of the global BeiDou navigation system. This paper provides a detailed description of the design and development of the trigger and localization software system for GECAM. It covers the general design, workflow, the main functions, and the algorithms used in the system. The paper also includes on-ground trigger tests using simulated gamma-ray bursts generated by a dedicated X-ray tube, as well as an overview of the performance for real celestial bursts during its in-orbit operation.
实时触发和定位伽马射线暴是2020年12月10日发射的全天空伽马射线监测器GECAM的主要功能。我们开发了一个多功能触发和定位软件,在 GECAM 电子盒的 CPU 中运行。该机载软件具有以下特点:对真实天体爆发的触发效率高,可抑制带电粒子爆发和背景波动造成的误触发;专门的定位算法经过优化,既适用于短爆发,也适用于长爆发;通过全球北斗导航系统的全球短报文通信服务下传的触发信息延迟时间短。本文详细介绍了 GECAM 触发和定位软件系统的设计和开发。内容包括系统的总体设计、工作流程、主要功能和算法。论文还包括利用专用 X 射线管产生的模拟伽马射线暴进行的地面触发测试,以及在轨运行期间对真实天体爆发的性能概述。
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引用次数: 0
On the Relation Between Symmetry of Radio Galaxies and Their Physical Parameters 论射电星系的对称性与其物理参数的关系
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-08-28 DOI: 10.1088/1674-4527/ad6c95
Mohsen Javaherian, Halime Miraghaei, Hooman Moradpour
Gravity as a fundamental force plays a dominant role in the formation and evolution of cosmic objects and leaves its effect in the emergence of symmetric and asymmetric structures. Thus, analyzing the symmetry criteria allows us to uncover mechanisms behind the gravity interaction and understand the underlying physical processes that contribute to the formation of large-scale structures such as galaxies. We use a segmentation process using intensity thresholding and the k-means clustering algorithm to analyze radio galaxy images. We employ a symmetry criterion and explore the relation between morphological symmetry in radio maps and host galaxy properties. Optical properties (stellar mass, black hole mass, optical size (R50), concentration, stellar mass surface density (μ50), and stellar age) and radio properties (radio flux density, radio luminosity, and radio size) are considered. We found that there is a correlation between symmetry and radio size, indicating larger radio sources have smaller symmetry indices. Therefore, size of radio sources should be considered in any investigation of symmetry. Weak correlations are also observed with other properties, such as R50 for FRI galaxies and stellar age. We compare the symmetry differences between FRI and FRII radio galaxies. FRII galaxies show higher symmetry in 1.4 GHz and 150 MHz maps. Investigating the influence of radio source sizes, we discovered that this result is independent of the sizes of radio sources. These findings contribute to our understanding of the morphological properties and analyses of radio galaxies.
引力作为一种基本力,在宇宙天体的形成和演化过程中发挥着主导作用,并在对称和非对称结构的出现中留下了自己的影响。因此,通过分析对称性标准,我们可以揭示引力相互作用背后的机制,并了解星系等大尺度结构形成的基本物理过程。我们使用强度阈值和 k-means 聚类算法对射电星系图像进行分割分析。我们采用了对称性标准,并探索了射电图中形态对称性与宿主星系属性之间的关系。我们考虑了光学属性(恒星质量、黑洞质量、光学尺寸(R50)、浓度、恒星质量表面密度(μ50)和恒星年龄)和射电属性(射电通量密度、射电光度和射电尺寸)。我们发现对称性和射电尺寸之间存在相关性,这表明较大的射电源具有较小的对称性指数。因此,在研究对称性时应考虑射电源的大小。我们还观测到了对称性与其他属性的微弱相关性,如 FRI 星系的 R50 和恒星年龄。我们比较了 FRI 和 FRII 射电星系的对称性差异。FRII 星系在 1.4 GHz 和 150 MHz 地图中显示出更高的对称性。在研究射电源大小的影响时,我们发现这一结果与射电源的大小无关。这些发现有助于我们理解射电星系的形态特性并对其进行分析。
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引用次数: 0
The Completeness of Accreting Neutron Star Binary Candidates from the Chinese Space Station Telescope 中国空间站望远镜发现的增生中子星双星候选体的完整性
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-08-27 DOI: 10.1088/1674-4527/ad6bd6
Hao Shen, Shun-Yi Lan, Xiang-Cun Meng
A neutron star (NS) has many extreme physical conditions, and one may obtain some important information about an NS via accreting neutron star binary (ANSB) systems. The upcoming Chinese Space Station Telescope (CSST) provides an opportunity to search for a large sample of ANSB candidates. Our goal is to check the completeness of the potential ANSB samples from CSST data. In this paper, we generate some ANSBs and normal binaries under the CSST photometric system by binary evolution and binary population synthesis method and use a machine learning method to train a classification model. Although the Precision (94.56%) of our machine learning model is as high as before study, the Recall is only about 63.29%. The Precision/Recall is mainly determined by the mass transfer rate between the NSs and their companions. In addition, we also find that the completeness of ANSB samples from CSST photometric data by the machine learning method also depends on the companion mass and the age of the system. ANSB candidates with a low initial mass companion star (0.1 M to 1 M) have a relatively high Precision (94.94%) and high Recall (86.32%), whereas ANSB candidates with a higher initial mass companion star (1.1 M to 3 M) have similar Precision (93.88%) and quite low Recall (42.67%). Our results indicate that although the machine learning method may obtain a relatively pure sample of ANSBs, a completeness correction is necessary for one to obtain a complete sample.
中子星(NS)有许多极端的物理条件,人们可以通过吸积中子星双星(ANSB)系统获得一些关于NS的重要信息。即将发射的中国空间站望远镜(CSST)提供了一个搜寻大量候选中子星样本的机会。我们的目标是从CSST数据中检验潜在ANSB样本的完整性。在本文中,我们通过双星演化和双星种群合成方法,在CSST测光系统下生成了一些ANSB和正常双星,并使用机器学习方法训练了一个分类模型。虽然我们的机器学习模型的精度(94.56%)与之前的研究一样高,但召回率只有约 63.29%。精度/召回率主要取决于 NSs 及其伴星之间的质量转移率。此外,我们还发现机器学习方法从 CSST 测光数据中获得的 ANSB 样本的完整性还取决于伴星质量和系统年龄。初始质量较低的伴星(0.1 M⊙到1 M⊙)的ANSB候选样本具有相对较高的精确度(94.94%)和较高的召回率(86.32%),而初始质量较高的伴星(1.1 M⊙到3 M⊙)的ANSB候选样本具有相似的精确度(93.88%)和相当低的召回率(42.67%)。我们的结果表明,尽管机器学习方法可以获得一个相对纯净的ANSB样本,但要获得一个完整的样本,还需要进行完整性校正。
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引用次数: 0
Spectroscopic Observations of Ten Galactic Wolf–Rayet Stars at Bosscha Observatory: Determination of Stellar Parameters and Mass-loss Rates Bosscha 天文台对十颗银河系狼射线星的光谱观测:恒星参数和质量损失率的测定
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-08-22 DOI: 10.1088/1674-4527/ad6a39
Hakim Luthfi Malasan, Bakuh Danang Setyo Budi
We present optical spectra of 10 Galactic Wolf–Rayet (WR) stars that consist of five WN and five WC stars. The optical observation was conducted using a low-resolution spectrograph NEO-R1000 (λλ ∼ 1000) at GAO-ITB RTS (27.94 cm, F/10.0), Bosscha Observatory, Lembang. We implemented stellar atmosphere Postdam Wolf–Rayet (PoWR) grid modeling to derive stellar parameters. The normalized optical spectrum can be used to find the best model from the available PoWR grid, then we could derive stellar temperature and transformation radius. To derive luminosity, stellar radius and color excess, we conducted a Spectral Energy Distribution (SED) analysis with additional data on the near-ultraviolet spectrum from the International Ultraviolet Explorer (IUE) database, and UBV and 2MASS JHK broadband filter data. Additional analysis to derive asymptotic terminal wind velocity was conducted from the P-Cygni profile analysis of the high-resolution IUE ultraviolet spectrum. With previously derived parameters, we could determine the mass loss rate of the WR stars. Furthermore, we compared our results with previous work that used PoWR code and the differences are not more than 20%. We conclude that the PoWR spectral grid is sufficient to derive WR stellar parameters quickly and could provide more accurate initial parameter input to the PoWR program code.
我们展示了10颗银河系沃尔夫-雷叶星(WR)的光学光谱,其中包括5颗WN星和5颗WC星。光学观测是在蓝邦 Bosscha 天文台 GAO-ITB RTS(27.94 厘米,F/10.0)使用低分辨率摄谱仪 NEO-R1000 (λ/Δλ ∼ 1000)进行的。我们对恒星大气层进行了Postdam Wolf-Rayet(PoWR)网格建模,以得出恒星参数。归一化光学光谱可用于从可用的 PoWR 网格中找到最佳模型,然后得出恒星温度和变换半径。为了得出光度、恒星半径和颜色过量,我们利用国际紫外线探测器(IUE)数据库中的近紫外光谱附加数据,以及 UBV 和 2MASS JHK 宽带滤波器数据,进行了光谱能量分布(SED)分析。通过对国际紫外探测器高分辨率紫外光谱的 P-Cygni 剖面分析,我们还进行了其他分析,以推导出渐近末端风速。利用之前得出的参数,我们可以确定WR恒星的质量损失率。此外,我们还将我们的结果与之前使用PoWR代码的工作进行了比较,两者的差异不超过20%。我们的结论是,PoWR光谱网格足以快速推导出WR恒星参数,并能为PoWR程序代码提供更精确的初始参数输入。
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引用次数: 0
The FRB-searching Pipeline of the Tianlai Cylinder Pathfinder Array 天来圆柱体探路者阵列的 FRB 搜寻管道
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-07-31 DOI: 10.1088/1674-4527/ad5b35
Zijie Yu, Furen Deng, Shijie Sun, Chenhui Niu, Jixia Li, Fengquan Wu, Wei-Yang Wang, Yougang Wang, Shifan Zuo, Lin Shu, Jie Hao, Xiaohui Liu, Reza Ansari, Ue-Li Pen, Albert Stebbins, Peter Timbie, Xuelei Chen
This paper presents the design, calibration, and survey strategy of the Fast Radio Burst (FRB) digital backend and its real-time data processing pipeline employed in the Tianlai Cylinder Pathfinder Array. The array, consisting of three parallel cylindrical reflectors and equipped with 96 dual-polarization feeds, is a radio interferometer array designed for conducting drift scans of the northern celestial semi-sphere. The FRB digital backend enables the formation of 96 digital beams, effectively covering an area of approximately 40 square degrees with the 3 dB beam. Our pipeline demonstrates the capability to conduct an automatic search of FRBs, detecting at quasi-real-time and classifying FRB candidates automatically. The current FRB searching pipeline has an overall recall rate of 88%. During the commissioning phase, we successfully detected signals emitted by four well-known pulsars: PSR B0329+54, B2021+51, B0823+26, and B2020+28. We report the first discovery of an FRB by our array, designated as FRB 20220414A. We also investigate the optimal arrangement for the digitally formed beams to achieve maximum detection rate by numerical simulation.
本文介绍了天来圆柱探路者阵列所采用的快速射电暴(FRB)数字后端及其实时数据处理流水线的设计、校准和勘测策略。该阵列由三个平行的圆柱形反射镜组成,配备 96 个双偏振馈源,是一个无线电干涉仪阵列,设计用于对北天体半球进行漂移扫描。FRB 数字后端可形成 96 个数字波束,3 分贝波束可有效覆盖约 40 平方度的区域。我们的管道展示了对 FRB 进行自动搜索、准实时探测和自动对 FRB 候选者进行分类的能力。目前的 FRB 搜索管道的总体召回率为 88%。在调试阶段,我们成功探测到了四颗著名脉冲星发出的信号:我们报告了我们的阵列首次发现的 FRB,命名为 FRB 20220414A。我们还通过数值模拟研究了数字形成光束的最佳排列,以实现最大探测率。
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引用次数: 0
Multi-field Split Curvature Wavefront Sensing and its Application in the Large Field Survey Telescope 多场分裂曲率波前传感及其在大视场巡天望远镜中的应用
IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Pub Date : 2024-07-23 DOI: 10.1088/1674-4527/ad51d0
Zhixu Wu, Yiming Zhang, Jianan Cong, Hua Bai, Yong Xia, Rongxin Tang, Ming Li, Zhengyang Li and Xiangyan Yuan
The image quality of a large field survey telescope with a fast focal ratio of the primary mirror is high sensitivity to the optical elements’ misalignments and the primary mirror’s deformations. To maintain good optical performance, the perturbations need to be aligned, and the tomographic reconstruction of these perturbations can be derived from wavefront sensing with multi-field points for alignment. This work undertakes a comprehensive examination related to the implementation and optimization of a multi-field split curvature wavefront sensing system, including defocus distance, signal pre-processing, deblending of overlapped doughnuts, field-dependent correction, and distorted coordinate correction. We also conduct experiments to demonstrate the application and performance of a multi-field split curvature wavefront sensing system in Mephisto. In the context of the decentering of the secondary mirror, the coefficient of determination (R) attains a high value of 0.993, indicating a robust linearity between the coma coefficients and the decentering of the secondary mirror. A comparative analysis of the simulated and experimental results shows that the difference between them is less than 0.1 λ.
主镜焦比较快的大视场巡天望远镜的图像质量对光学元件的错位和主镜的变形非常敏感。为了保持良好的光学性能,需要对扰动进行对准,而这些扰动的层析重建可以通过多场点对准的波前传感得到。这项工作对多场分曲率波前传感系统的实施和优化进行了全面的研究,包括离焦距离、信号预处理、重叠甜甜圈的去交错、场相关校正和扭曲坐标校正。我们还通过实验演示了多场分裂曲率波前传感系统在墨菲斯托中的应用和性能。在副镜去中心的情况下,决定系数(R)达到了 0.993 的高值,表明彗差系数与副镜去中心之间具有稳健的线性关系。模拟结果和实验结果的对比分析表明,两者之间的差异小于 0.1 λ。
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引用次数: 0
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Research in Astronomy and Astrophysics
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