一种里奥滤光器在线标定方法

王佳,刘洋毅,饶长辉. 一种里奥滤光器在线标定方法[J]. 光电工程,2020,47(9):190049. doi: 10.12086/oee.2020.190049
引用本文: 王佳,刘洋毅,饶长辉. 一种里奥滤光器在线标定方法[J]. 光电工程,2020,47(9):190049. doi: 10.12086/oee.2020.190049
Wang J, Liu Y Y, Rao C H. A calibration method for Lyot filter[J]. Opto-Electron Eng, 2020, 47(9): 190049. doi: 10.12086/oee.2020.190049
Citation: Wang J, Liu Y Y, Rao C H. A calibration method for Lyot filter[J]. Opto-Electron Eng, 2020, 47(9): 190049. doi: 10.12086/oee.2020.190049

一种里奥滤光器在线标定方法

  • 基金项目:
    国家自然科学基金资助项目(11727805, 11733005)
详细信息
    作者简介:

    王佳(1993-),女,硕士,主要从事太阳大气视向速度场测量技术的研究。E-mail:wang_joy@163.com

    通讯作者: 饶长辉(1971-),男,博士,研究员,主要从事大口径高分辨率光学成像望远镜技术和系统研制工作。E-mail:chrao@ioe.ac.cn
  • 中图分类号: TN249; TH765.2

A calibration method for Lyot filter

  • Fund Project: Supported by National Natural Sciences Foundation of China (11727805, 11733005)
More Information
  • 里奥滤光器广泛应用于太阳观测中进行光谱扫描成像,为保证其数据的有效性与准确性,必须定期对其进行在线标定。传统的在线标定方法要求环境光强具有较高稳定性,而本文提出了一种能够实时修正由环境扰动导致的太阳光强变化对标定过程影响的里奥滤光器在线标定方法。该方法通过单色光成像观测通道与里奥滤光器扫描成像观测通道联合观测的方式,以单色光成像通道的观测结果获得外界环境对太阳光强扰动的信息,在线校正滤光器的观测扫描数据,降低由环境扰动造成的太阳光强非稳定性带来的干扰。基于七波段太阳大气层析成像系统,对Hɑ(656.28 nm)扫描成像通道的里奥滤光器和TiO(705 nm)单色光成像通道进行了联合观测标定实验。实验结果表明,该方法有效消除了太阳光强非稳定性对滤光器实测光谱轮廓的影响,对中心波长位置定标精度优于0.005 nm,提升了里奥滤光器在线标定的准确性和对环境的适应性。

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  • 图 1  里奥滤光器结构原理

    Figure 1.  The principle structure of Lyot filter

    图 2  可见光至近红外太阳大气不同高度活动区高分辨力多波段层析成像观测数据

    Figure 2.  Visible light to near-infrared image of different solar atmosphere layer observed by high-resolution multi-wavelength solar imaging system

    图 3  滤光器透过率曲线

    Figure 3.  Transmittance curve of the Lyot filter

    图 4  标定方法示意图

    Figure 4.  Calibration method process

    图 5  (a) 光强修正前标定数据;(b)光强修正后标定数据

    Figure 5.  (a) Calibration data before correction; (b) Calibration data after correction

    图 6  环境扰动修正系数曲线

    Figure 6.  Correcting coefficient

    图 7  前置滤光器透过率特性曲线

    Figure 7.  Pre-filter transmittance curve

    图 8  扫描观测谱线

    Figure 8.  Scanning observation line

    图 9  环境扰动修正系数曲线

    Figure 9.  Correcting coefficient

    图 10  光强修正后标定数据

    Figure 10.  Calibration data after correction

    图 11  (a) 为光强修正前标定数据;(b)为光强修正后标定数据

    Figure 11.  (a) Calibration data before correction; (b) Calibration data after correction

    表 1  七波段层析成像系统成像波段

    Table 1.  High-resolution multi-wavelength solar imaging system imaging channel

    Wavelength/nm Spectra line Solar atmosphere layer Bandwidth/nm Resolution/(") Filter type
    430.5 G band Photosphere 0.5 0.147 Interference
    589.0 Na I line Chromospheres 0.003 0.034 Atomic
    656.28 Hα line Chromospheres 0.025 0.135 Lyot
    705.7 TiO band Photosphere 0.7 0.0345 Interference
    854.2 Ca II IR line Chromospheres 0.02 0.203 Lyot
    1083.0 He I line Chromospheres 0.05 0.246 Lyot
    1565.3 Fe I line Photosphere 5 0.342 Interference
    下载: 导出CSV

    表 2  滤光器性能参数

    Table 2.  Performance of the Lyot filter

    Attribute Value
    Center wavelength/nm 656.28
    FWHM/nm ≤0.025
    20% bandwidth ≤2.2倍FWHM
    10% bandwidth ≤3倍FWHM
    Tunable range/nm ±0.5
    Work temperature/℃ 42±1
    Temperature stability/℃ ±0.02
    下载: 导出CSV

    表 3  三组标定实验均方根误差

    Table 3.  RMS of three calibration data groups

    RMSE Group1 Group2 Group3
    Before correction 468.3 599.5 367.6
    After correction 442.6 529.5 359.7
    下载: 导出CSV
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出版历程
收稿日期:  2019-01-29
修回日期:  2019-04-04
刊出日期:  2020-09-15

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