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The Completeness of Accreting Neutron Star Binary Candidates from the Chinese Space Station Telescope
Shen H(申灏)1,2; Lan SY(兰顺义)1,2; Meng XC(孟祥存)1,3
发表期刊RESEARCH IN ASTRONOMY AND ASTROPHYSICS
2024-09-01
卷号24期号:9
DOI10.1088/1674-4527/ad6bd6
产权排序第1完成单位
收录类别SCI
关键词stars: neutron X-rays: binaries methods: analytical
摘要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- circle dot to 1 M- circle dot) 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 circle dot to 3 M- circle dot) 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.
资助项目National Natural Science Foundation of China[12288102]; National Natural Science Foundation of China[12333008]; National Key R&D Program of China[2021YFA1600403]; International Centre of Supernovae, Yunnan Key Laboratory[202302AN360001]; Yunnan Revitalization Talent Support Program-Science & Technology Champion Project[202305AB350003]; Yunnan Fundamental Research Projects[202401BC070007]; Yunnan Fundamental Research Projects[202201BC070003]; China Manned Space Project
项目资助者National Natural Science Foundation of China[12288102, 12333008] ; National Key R&D Program of China[2021YFA1600403] ; International Centre of Supernovae, Yunnan Key Laboratory[202302AN360001] ; Yunnan Revitalization Talent Support Program-Science & Technology Champion Project[202305AB350003] ; Yunnan Fundamental Research Projects[202401BC070007, 202201BC070003] ; China Manned Space Project
语种英语
学科领域天文学 ; 恒星与银河系
文章类型Article
出版者NATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
出版地20A DATUN RD, CHAOYANG, BEIJING, 100101, PEOPLES R CHINA
ISSN1674-4527
URL查看原文
WOS记录号WOS:001299545500001
WOS研究方向Astronomy & Astrophysics
WOS类目Astronomy & Astrophysics
关键词[WOS]X-RAY BINARIES ; NUCLEAR-EQUATION ; IA SUPERNOVAE ; MASS ; EVOLUTION ; CATALOG ; JET ; EMISSION ; PULSAR ; DISKS
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文献类型期刊论文
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条目标识符http://ir.ynao.ac.cn/handle/114a53/27569
专题大样本恒星演化研究组
作者单位1.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China; [email protected], [email protected];
2.University of Chinese Academy of Sciences, Beijing 100049, China;
3.International Centre of Supernovae, Yunnan Key Laboratory, Kunming 650216, China
第一作者单位中国科学院云南天文台
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Shen H,Lan SY,Meng XC. The Completeness of Accreting Neutron Star Binary Candidates from the Chinese Space Station Telescope[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2024,24(9).
APA 申灏,兰顺义,&孟祥存.(2024).The Completeness of Accreting Neutron Star Binary Candidates from the Chinese Space Station Telescope.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,24(9).
MLA 申灏,et al."The Completeness of Accreting Neutron Star Binary Candidates from the Chinese Space Station Telescope".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 24.9(2024).
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