Full-frame Data Reduction Method: A Data Mining Tool to Detect the Potential Variations in Optical Photometry | |
Dai ZB(戴智斌)1,2,3,4; Zhou, Hao5; Cao, Jin5 | |
发表期刊 | RESEARCH IN ASTRONOMY AND ASTROPHYSICS |
2023-05-01 | |
卷号 | 23期号:5 |
DOI | 10.1088/1674-4527/acc29e |
产权排序 | 第1完成单位 |
收录类别 | SCI |
关键词 | catalogs stars: fundamental parameters stars: variables: general methods: data analysis techniques: photometric |
摘要 | A Synchronous Photometry Data Extraction (SPDE) program, performing indiscriminate monitoring of all stars appearing in the same field of view of an astronomical image, is developed by integrating several Astropy affiliated packages to make full use of time series observed by traditional small/medium aperture ground-based telescopes. The complete full-frame stellar photometry data reductions implemented for the two time series of cataclysmic variables: RX J2102.0+3359 and Paloma J0524+4244 produce 363 and 641 optimal light curves, respectively. A cross-identification with SIMBAD finds 23 known stars, of which 16 are red giant-/horizontal-branch stars, 2 W UMa-type eclipsing variables, 2 program stars, an X-ray source and 2 Asteroid Terrestrial-impact Last Alert System variables. Based on the data products from the SPDE program, a follow-up light curve analysis program identifies 32 potential variable light curves, of which 18 are from the time series of RX J2102.0+3359, and 14 are from that of Paloma J0524+4244. They are preliminarily separated into periodic, transient, and peculiar types. By querying for the 58 VizieR online data catalogs, their physical parameters and multi-band brightness spanning X-ray to radio are compiled for future analysis. |
资助项目 | CAS Light of West China Program ; Yunnan Youth Talent Project ; Yunnan Fundamental Research Projects[2016FB007] ; Yunnan Fundamental Research Projects[202201AT070180] ; National Natural Science Foundation of China[11933008] ; Open Project Program of the CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences ; Yunnan Fundamental Research Key Projects[202001BB050032] |
项目资助者 | CAS Light of West China Program ; Yunnan Youth Talent Project ; Yunnan Fundamental Research Projects[2016FB007, 202201AT070180] ; National Natural Science Foundation of China[11933008] ; Open Project Program of the CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences ; Yunnan Fundamental Research Key Projects[202001BB050032] |
语种 | 英语 |
学科领域 | 天文学 ; 天体物理学 ; 实测天体物理学 ; 恒星与银河系 ; 恒星天文学 |
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 |
ISSN | 1674-4527 |
URL | 查看原文 |
WOS记录号 | WOS:000980304800001 |
WOS研究方向 | Astronomy & Astrophysics |
WOS类目 | Astronomy & Astrophysics |
关键词[WOS] | TESS INPUT CATALOG ; CATACLYSMIC VARIABLES ; LOW-STATE ; STARS ; PERIODOGRAM ; TELESCOPE ; PARAMETERS ; BINARY ; SYSTEM ; MODEL |
引用统计 | |
文献类型 | 期刊论文 |
版本 | 出版稿 |
条目标识符 | http://ir.ynao.ac.cn/handle/114a53/26024 |
专题 | 双星与变星研究组 中国科学院天体结构与演化重点实验室 |
通讯作者 | Dai ZB(戴智斌) |
作者单位 | 1.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China; [email protected]; 2.Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming 650216, China; 3.Center for Astronomical Mega-Science, Chinese Academy of Sciences, Beijing 100101, China; 4.University of Chinese Academy of Sciences, Beijing 101408, China; 5.School of Information Science and Engineering of Yunnan University, Kunming 650500, China |
第一作者单位 | 中国科学院云南天文台 |
通讯作者单位 | 中国科学院云南天文台 |
推荐引用方式 GB/T 7714 | Dai ZB,Zhou, Hao,Cao, Jin. Full-frame Data Reduction Method: A Data Mining Tool to Detect the Potential Variations in Optical Photometry[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2023,23(5). |
APA | Dai ZB,Zhou, Hao,&Cao, Jin.(2023).Full-frame Data Reduction Method: A Data Mining Tool to Detect the Potential Variations in Optical Photometry.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,23(5). |
MLA | Dai ZB,et al."Full-frame Data Reduction Method: A Data Mining Tool to Detect the Potential Variations in Optical Photometry".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 23.5(2023). |
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