论文标题

Lyman-Alpha太阳能望远镜(LST)的机上扁平场校准的方法

Methodology for In-flight Flat-field Calibration of the Lyman-alpha Solar Telescope (LST)

论文作者

Li, Jing-Wei, Li, Hui, Li, Ying, Feng, Li, Huang, Yu, Zhao, Jie, Lu, Lei, Ying, Bei-Li, Xue, Jian-Chao

论文摘要

扁平场反映了使用数字图像传感器(例如电荷耦合器件(CCD)和互补的金属氧化物 - 氧化物 - 氧化物 - 轴导剂(CMOS))的仪器焦平面上光度响应的不均匀性。在用于科学研究之前,必须纠正这种不均匀性。在本文中,我们通过使用可用数据通过仿真来评估各种候选方法,以了解Lyman-Alpha太阳能望远镜(LST)的机上平面校准方法。 LST是先进的太空天文台(ASO-S)任务的有效载荷之一,由三种仪器组成:白光太阳能望远镜(WST),太阳能磁盘成像器(SDI)和双波浪带Solar Corona Corona Imager(SCI)。在我们的模拟中,使用了来自Helioseis震动和磁成像仪(HMI)和大气成像组件(AIA)的数据。我们的结果表明,正常的KLL方法适用于WST的机上扁平场校准和实施传播扩散器适用于SCI。对于SDI的机上扁平场校准,我们建议使用带离点的图像的KLL方法,其固定分辨率约为18英寸,并使用局部相关跟踪(LCT)算法而不是肢体拟合来确定不同图像之间的相对位置。

Flat-field reflects the non-uniformity of the photometric response at the focal plane of an instrument, which uses digital image sensors, such as Charge Coupled Device (CCD) and Complementary Metal-Oxide-Semiconductor (CMOS). This non-uniformity must corrected before being used for scientific research. In this paper, we assess various candidate methods via simulation using available data so as to figure the in-flight flat-field calibration methodology for the Lyman-alpha Solar Telescope (LST). LST is one of the payloads for the Advanced Space-based Solar Observatory (ASO-S) mission and consists of three instruments: a White-light Solar Telescope (WST), a Solar Disk Imager (SDI) and a dual-waveband Solar Corona Imager (SCI). In our simulations, data from the Helioseismic and Magnetic Imager (HMI) and Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) mission are used. Our results show that the normal KLL method is appropriate for in-flight flat-field calibration of WST and implementing a transmissive diffuser is applicable for SCI. For the in-flight flat-field calibration of SDI, we recommend the KLL method with off-pointing images with defocused resolution of around 18", and use the local correlation tracking (LCT) algorithm instead of limb-fitting to determine the relative dis-placements between different images.

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