Characterizing the Instrumental Profile of LAMOST
文献类型:期刊论文
| 作者 | Liu, Qian1,3; Bai, Zhongrui3; Zhou, Ming6; Yang MK(杨明宽)1,2,3,5; Yang, Xiaozhen1,3; Jiang, Ziyue1,3; Yuan, Hailong3; Li, Ganyu1,3; He, Yuji3,4; Wang, Mengxin3 |
| 刊名 | ASTRONOMICAL JOURNAL
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| 出版日期 | 2026-04-01 |
| 卷号 | 171期号:4 |
| ISSN号 | 0004-6256 |
| DOI | 10.3847/1538-3881/ae4ebe |
| 产权排序 | 第4完成单位 |
| 文献子类 | Article |
| 英文摘要 | The instrumental profile (IP) of a telescope is of great significance for spectroscopic analyses, especially for wavelength calibration and stellar parameter measurements. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) employs arc lamps for wavelength calibration. These lamps produce sharp emission lines with known wavelengths, and the observed arc lamp spectra can well characterize the IP. However, IPs are influenced by multiple factors, making them difficult to model accurately with traditional methods. Neural networks, which can automatically capture complex patterns and nonlinear features in data, provide a promising approach for high-precision IP measurement. We therefore construct a multilayer perceptron based on The Payne neural network to derive IPs for LAMOST. After training, the model can retrieve the IP for any fiber, at any wavelength, and at any time. We then apply the derived IP to stellar radial velocity (RV) measurements and analyze the impact of different IP center localization methods on the results. Finally, the dispersion of the measured RVs is reduced by approximately 3 km s-1. This improvement will facilitate the search for long-period binary stars via RV variations. |
| 学科主题 | 物理学 ; 光学 ; 天文学 ; 天文学其他学科 ; 机械工程 ; 仪器仪表技术 ; 光学技术与仪器 ; 天文仪器 |
| URL标识 | 查看原文 |
| 出版地 | No.2 The Distillery, Glassfields, Avon Street, Bristol, ENGLAND |
| WOS关键词 | LINE-SPREAD FUNCTION ; PRECISION ; TELESCOPE ; COMB |
| 资助项目 | Youth Innovation Promotion Association of the Chinese Academy of Sciences (CAS YIPA)[20200060]; MOST divided by National Natural Science Foundation of China (NSFC)[12273056]; MOST divided by National Natural Science Foundation of China (NSFC)[12090041]; MOST divided by National Natural Science Foundation of China (NSFC)[11873066]; Strategic Priority Program of the Chinese Academy of Sciences[XDB1160302]; MOST divided by National Key Research and Development Program of China (NKPs)[2022YFA1603002]; MOST divided by National Key Research and Development Program of China (NKPs)[2023YFA1607901]; National Natural Science Foundation for Young Scientists of China[12503091] |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001728975400001 |
| 出版者 | IOP Publishing Ltd |
| 资助机构 | Youth Innovation Promotion Association of the Chinese Academy of Sciences (CAS YIPA)[20200060] ; MOST divided by National Natural Science Foundation of China (NSFC)[12273056, 12090041, 11873066] ; Strategic Priority Program of the Chinese Academy of Sciences[XDB1160302] ; MOST divided by National Key Research and Development Program of China (NKPs)[2022YFA1603002, 2023YFA1607901] ; National Natural Science Foundation for Young Scientists of China[12503091] |
| 版本 | 出版稿 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/29078] ![]() |
| 专题 | 云南天文台_大样本恒星演化研究组 |
| 通讯作者 | Bai, Zhongrui; Zhang, Haotong |
| 作者单位 | 1.School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China; 2.International Centre of Supernovae (ICESUN), Yunnan Key Laboratory of Supernova Research, Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People’s Republic of China; 3.Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China; zrbai@bao.ac.cn, htzhang@bao.ac.cn; 4.Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, Germany 5.Key Laboratory for Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming 650216, People’s Republic of China; 6.College of Photonics and Optical Engineering, Aerospace Information Technology University, Jinan 250299, People’s Republic of China; |
| 推荐引用方式 GB/T 7714 | Liu, Qian,Bai, Zhongrui,Zhou, Ming,et al. Characterizing the Instrumental Profile of LAMOST[J]. ASTRONOMICAL JOURNAL,2026,171(4). |
| APA | Liu, Qian.,Bai, Zhongrui.,Zhou, Ming.,杨明宽.,Yang, Xiaozhen.,...&Zhang, Haotong.(2026).Characterizing the Instrumental Profile of LAMOST.ASTRONOMICAL JOURNAL,171(4). |
| MLA | Liu, Qian,et al."Characterizing the Instrumental Profile of LAMOST".ASTRONOMICAL JOURNAL 171.4(2026). |
入库方式: OAI收割
来源:云南天文台
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