Data Processing Pipeline of the SUTRI EUV Imager on the SATech-01 Satellite

Solar observations in extreme ultraviolet (EUV) wavelengths are a crucial component of solar activity research and space weather forecasting. The Solar Upper Transition Region Imager (SUTRI) on the SATech-01 satellite is designed to take full-disk solar images in the Ne vii 46.5 nm spectral line (T = 0.5 MK). It was launched in 2022 and the science data were released on January 10, 2023. In this article, we describe the data preprocessing method employed to SUTRI data to eliminate inherent instrument effects and standardize the raw data to obtain scientific data. Alongside common data processing steps, our pipeline includes correcting for horizontal stripes from the CMOS imaging camera. As an experiment payload, SUTRI does not have an image stabilization system. Thus, a multi-step iterative algorithm has been developed to precisely align series of drifted images due to the limited pointing accuracy of the satellite platform. Our method may not be limited to SUTRI; it also serves as a reference for future solar EUV telescope data processing.

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Publication Details

Journal
Solar Physics
Published
2025-05-01
DOI
https://doi.org/10.1007/s11207-025-02483-3
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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Data Processing Pipeline of the SUTRI EUV Imager on the SATech-01 Satellite

Zhenyong Hou, Xianyong Bai, Ziyao Hu, Yuanyong Deng et al.
Solar Physics
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Data Processing Pipeline of the SUTRI EUV Imager on the SATech-01 Satellite

Zhenyong Hou, Xianyong Bai, Ziyao Hu, Yuanyong Deng, Xiao Yang, Wei Duan, Kaifan Ji, Zihao Yang
article en

Abstract

Solar observations in extreme ultraviolet (EUV) wavelengths are a crucial component of solar activity research and space weather forecasting. The Solar Upper Transition Region Imager (SUTRI) on the SATech-01 satellite is designed to take full-disk solar images in the Ne vii 46.5 nm spectral line (T = 0.5 MK). It was launched in 2022 and the science data were released on January 10, 2023. In this article, we describe the data preprocessing method employed to SUTRI data to eliminate inherent instrument effects and standardize the raw data to obtain scientific data. Alongside common data processing steps, our pipeline includes correcting for horizontal stripes from the CMOS imaging camera. As an experiment payload, SUTRI does not have an image stabilization system. Thus, a multi-step iterative algorithm has been developed to precisely align series of drifted images due to the limited pointing accuracy of the satellite platform. Our method may not be limited to SUTRI; it also serves as a reference for future solar EUV telescope data processing.

Solar PhysicsVol. 300(5)
NSF National Center for Atmospheric Research (US), NSF NCAR High Altitude Observatory (US), Chinese Academy of Sciences (CN), Peking University (CN), Beijing Normal University (CN), Yunnan Observatories (CN), National Space Science Center (CN), National Astronomical Observatories (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 92%
Solar and Space Plasma Dynamics
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