中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatially Resolved Properties of the GW170817 Host Galaxy

文献类型:期刊论文

作者Li YB(李宇斌)4,5,6; Mao JR(毛基荣)2,4,5; Qin, Jianbo3; Zheng, Xianzhong3; Liu, Fengshan1; Zhao YH(赵应和)2,4,5; Zhao XH(赵晓红)2,4,5
刊名RESEARCH IN ASTRONOMY AND ASTROPHYSICS
出版日期2023-07-01
卷号23期号:7
关键词galaxies: evolution (stars:) binaries: general gravitational waves
ISSN号1674-4527
DOI10.1088/1674-4527/acd16a
产权排序第1完成单位
文献子类Article
英文摘要

GW170817 is the unique gravitational-wave (GW) event associated with the electromagnetic (EM) counterpart GRB 170 817A. NGC 4993 is identified as the host galaxy of GW170817/GRB 170 817A. In this paper, we focus on the spatially resolved properties of NGC 4993. We present the photometric results from the comprehensive data analysis of the high spatial-resolution images in the different optical bands. The morphological analysis reveals that NGC 4993 is a typical early-type galaxy without significant remnants of a major galaxy merger. The spatially resolved stellar population properties of NGC 4993 suggest that the galaxy center has passive evolution with the outskirt formed by gas accretion. We derive the merging rate of the compact object per galaxy by a co-evolution scenario of a supermassive black hole and its host galaxy. If the galaxy formation is at redshift 1.0, the merging rate per galaxy is from 3.2 x 10(-4) to 7.7 x 10(-5) within the merging decay time from 1.0 to 5.0 Gyr. The results provide vital information for ongoing GW EM counterpart detections. The Hubble space telescope data analysis presented in this paper can be also applied to Chinese Space Station Telescope research in the future.

学科主题天文学 ; 星系与宇宙学 ; 星系形成与演化
URL标识查看原文
出版地20A DATUN RD, CHAOYANG, BEIJING, 100101, PEOPLES R CHINA
WOS关键词DELAY-TIME DISTRIBUTION ; NEUTRON-STAR MERGERS ; DOUBLE COMPACT OBJECTS ; NGC 4993 ; ELECTROMAGNETIC COUNTERPARTS ; OPTICAL AFTERGLOW ; PHYSICAL MODEL ; BINARY ; RAY ; STELLAR
资助项目National Science Foundation of China (NSFC)[12073078] ; China Manned Space Project[11733006] ; Yunnan Revitalization Talent Support Program ; Jiangsu Funding Program for Excellent Postdoctoral Talent[CMS-CSST-2021-A02] ; NSFC[CMS-CSST-2021-A04] ; NSFC[12273052] ; NSFC[U1831135] ; National Key R&D Program of China[2017YFA0402703] ; [2022ZB473] ; [12173079] ; [11673062] ; [CMS-CSST-2021-A06] ; [CMS-CSST-2021-A07] ; [11773076]
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:001011359100001
出版者NATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
资助机构National Science Foundation of China (NSFC)[12073078] ; China Manned Space Project[11733006] ; Yunnan Revitalization Talent Support Program ; Jiangsu Funding Program for Excellent Postdoctoral Talent[CMS-CSST-2021-A02] ; NSFC[CMS-CSST-2021-A04, 12273052, U1831135] ; National Key R&D Program of China[2017YFA0402703] ; [2022ZB473] ; [12173079] ; [11673062] ; [CMS-CSST-2021-A06] ; [CMS-CSST-2021-A07] ; [11773076]
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/26082]  
专题星系类星体研究组
云南天文台_中国科学院天体结构与演化重点实验室
通讯作者Mao JR(毛基荣)
作者单位1.National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China
2.Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming 650011, China;
3.Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China;
4.Center for Astronomical Mega-Science, Chinese Academy of Sciences, Beijing 100101, China;
5.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650011, China; jirongmao@mail.ynao.ac.cn;
6.University of Chinese Academy of Sciences, Beijing 100049, China;
推荐引用方式
GB/T 7714
Li YB,Mao JR,Qin, Jianbo,et al. Spatially Resolved Properties of the GW170817 Host Galaxy[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2023,23(7).
APA Li YB.,Mao JR.,Qin, Jianbo.,Zheng, Xianzhong.,Liu, Fengshan.,...&Zhao XH.(2023).Spatially Resolved Properties of the GW170817 Host Galaxy.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,23(7).
MLA Li YB,et al."Spatially Resolved Properties of the GW170817 Host Galaxy".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 23.7(2023).

入库方式: OAI收割

来源:云南天文台

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