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An UBVRI calibration method based on Pan-STARRS photometric survey | |
Li, X.1,2; Zeng, X.1,3; Esamdin, A.4![]() ![]() | |
2023-10-01 | |
Source Publication | ASTRONOMY AND COMPUTING
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ISSN | 2213-1337 |
Volume | 45Pages:100755 |
Contribution Rank | 4 |
Abstract | The Landolt's standard stars catalog is the most widely utilized for CCD astronomy in the UBVRI broad band photometry system. The Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) is one of the usage of the newly grizy photometric system. In this work, the main objective of this paper is to calibrate observations in the U, B, V, R, and I bands by utilizing data in the g, r, and i bands from the literature. First, the machine learning based method XGBoost is employed to train a model for selecting objects with linear relations between the two catalogs. Then, the color transformation method is utilized to convert objects with gri magnitudes of Pan-STARRS1 (PS1) catalog to the UBVRI system, and a set of transformation coefficients is presented. A photometric calibration system is developed and the color based calibration method is implemented in the system. The typical calibration errors of standard field GD 279 from instrumental magnitudes to those of standard UBVRI system are derived as 0.173 mag, 0.053 mag, 0.024 mag, 0.019 mag, 0.020 mag, respectively. Furthermore, the light curve comparison of SN 2017hpa of a large number of observations from different nights suggests that this method can be qualified for various astrometric observations.(c) 2023 Elsevier B.V. All rights reserved. |
Keyword | Techniques photometric Method machine learning Method color calibration |
DOI | 10.1016/j.ascom.2023.100755 |
Indexed By | SCI |
Language | 英语 |
WOS Keyword | DIGITAL SKY SURVEY ; 1ST SPECTROSCOPIC DATA ; DATA RELEASE ; STANDARD STARS ; COLOR TRANSFORMATIONS ; EQUATIONS |
Funding Project | National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Coop- eration Project[12203029] ; National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Coop- eration Project[U2031202] ; National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Coop- eration Project[11873089] ; National Natural Science Foundation of China[12203029] ; National Natural Science Foundation of China[U2031202] ; National Natural Science Foundation of China[11873089] ; National Natural Science Foundation of China[2022YFE0126200] ; National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Cooperation Project[2022YFE0126200] |
WOS Research Area | Astronomy & Astrophysics ; Computer Science |
WOS Subject | Astronomy & Astrophysics ; Computer Science, Interdisciplinary Applications |
WOS ID | WOS:001082248300001 |
Publisher | ELSEVIER |
Funding Organization | National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Coop- eration Project ; National Natural Science Foundation of China ; National Key R&D program of China for Intergovernmental Scientific and Technological Innovation Cooperation Project |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.xao.ac.cn/handle/45760611-7/5556 |
Collection | 光学天文与技术应用研究室 |
Corresponding Author | Zeng, X. |
Affiliation | 1.China Three Gorges Univ, Ctr Astron & Space Sci, Yichang 443002, Peoples R China 2.China Three Gorges Univ, Coll Econ & Management, Yichang 443002, Hubei, Peoples R China 3.China Three Gorges Univ, Coll Sci, Yichang 443002, Hubei, Peoples R China 4.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Xinjiang, Peoples R China |
Recommended Citation GB/T 7714 | Li, X.,Zeng, X.,Esamdin, A.,et al. An UBVRI calibration method based on Pan-STARRS photometric survey[J]. ASTRONOMY AND COMPUTING,2023,45:100755. |
APA | Li, X.,Zeng, X.,Esamdin, A.,Zheng, S.,&Zhang, Y..(2023).An UBVRI calibration method based on Pan-STARRS photometric survey.ASTRONOMY AND COMPUTING,45,100755. |
MLA | Li, X.,et al."An UBVRI calibration method based on Pan-STARRS photometric survey".ASTRONOMY AND COMPUTING 45(2023):100755. |
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Li-2023-An UBVRI cal(1627KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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