Issue |
A&A
Volume 666, October 2022
|
|
---|---|---|
Article Number | A93 | |
Number of page(s) | 14 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361/202142920 | |
Published online | 13 October 2022 |
Calibration scheme for space-borne full-disk vector magnetograph under the influence of orbiter velocity
1
Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences,
Beijing
100101, PR China
e-mail: hzy@nao.cas.cn; chenjie@bao.ac.cn
2
Yunnan Observatories, Chinese Academy of Sciences,
Kunming
650216, PR China
e-mail: jkf@ynao.ac.cn
3
School of Astronomy and Space Science, University of Chinese Academy of Sciences,
Beijing
101408, PR China
4
College of Information and Computer, Taiyuan University of Technology,
Taiyuan
030024, PR China
5
Astrophysics Research Centre, School of Mathematics and Physics, Queen’s University,
Belfast
BT7 1NN, UK
6
Swedish Institute of Space Physics,
Scheelevagen 17,
223 70
Lund, Sweden
Received:
15
December
2021
Accepted:
30
May
2022
Context. The Full-disk Vector MagnetoGraph (FMG) is one of the three payloads on the Advanced Space-based Solar Observatory (ASO-S). The FMG is set to observe the full disk vector magnetic field at a single wavelength point. The magnetograph in orbit will encounter the wavelength shift problem caused by the Doppler effect in the magnetic field, which mainly comes from the Sun’s rotation velocity and the satellite–sun relative velocity.
Aims. We look to use neural networks for single-wavelength calibration to solve the wavelength shift problem.
Methods. We used the existing data from the Helioseismic and Magnetic Imager (HMI) on the Solar Dynamics Observatory (SDO). To simulate plausible single-wavelength observations, we used the Stokes polarization image from the HMI at a single wavelength point. We also input the satellite orbital velocity given by the HMI data file and the solar rotation velocity to the network. We developed a set of data preprocessing methods before entering the network and we trained the network to get the calibration model.
Results. By analyzing and comparing the prediction of the neural network with the target magnetogram, we believe that our network model has learned a single-wavelength full-disk calibration model. The mean absolute error (MAE) of the longitudinal field and the transverse field of the full disk are 3.68 G and 28.08 G, respectively. The MAE error of the azimuth angle of pixels above 300 G is 12.29°.
Key words: magnetic fields / Sun: magnetic fields
© Z. Hu et al. 2022
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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