Registered YOGIS corona dataset
Feiyang Sha ; Yu Liu ; Lidong Xia ; Yao Chen ; Qing Zhou ; Yangrui Chen ; Chuyu Zhong ; Xuefei Zhang ; Tengfei Song ; Mingzhe Sun ; Xiaoyu Yu
We developed a coronal image registration algorithm, which achieves automated and accurate alignment between the YOGIS coronal green-line images and the SDO/AIA 211 Å images. This dataset includes a subset of YOGIS coronal data for years 2013-2024 and one-day data of SICG, registered using this algorithm. All images are oriented with north at the top, and key information such as heliocentric coordinates and solar radius has been annotated in the FITS file headers. We can directly obtain the helioprojective coordinates of the images using the sunpy library. We have compiled daily observational data into dynamic movies for quick look. Additionally, the similarity transformation parameters and the coordinates of the sun and occulter have been recorded in the catalogs.
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Paper Information
Paper Title:
Mapping ground-based coronagraphic images to Helioprojective-Cartesian coordinate system by image registration
Publication:
ApJ
Identifiers
CSTR:
11379.11.101571
DOI:
10.12149/101571
VO Identifier:
ivo://China-VO/paperdata/101571
Publication Date:
2025-07-15
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Feiyang Sha et al. 2025. Registered YOGIS corona dataset. Version 1.0. https://doi.org/10.12149/101571
@misc{10.12149/101571,
doi = {10.12149/101571},
url = {https://doi.org/10.12149/101571},
author = {Feiyang Sha},
title = {Registered YOGIS corona dataset},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
doi = {10.12149/101571},
url = {https://doi.org/10.12149/101571},
author = {Feiyang Sha},
title = {Registered YOGIS corona dataset},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
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2025-07-15