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A Realistic Synthetic Galaxy Image Superresolution Dataset Based on IllustrisTNG 认领 引用
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作者 Jiawei Miao Liangping Tu +4 位作者 Jianxi Li Hao Liu Jian Zhao Yiyang Ding Zhenyang Xu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2026年第5期1-12,共12页
To overcome the limitations of ground-based telescopes in spatial resolution and imaging quality, recent researchhas concentrated on image super-resolution (SR) reconstruction. This approach aims to enhance ground-bas... To overcome the limitations of ground-based telescopes in spatial resolution and imaging quality, recent researchhas concentrated on image super-resolution (SR) reconstruction. This approach aims to enhance ground-basedimages by recovering “space-based-like” images with higher spatial resolution and more detailed structuralinformation, without the need for expensive space-based observations. The training of SR models typically relieson large-scale, high-quality paired datasets of ground-based and space-based images. However, the acquisition ofsuch data is highly costly, which significantly limits the widespread application of these models. Based on this,this paper proposes using realistic synthetic galaxy images generated by IllustrisTNG cosmological simulation toreplace real space-based images and constructs a training dataset for image SR tasks, TNG-RealSR. To verify thevalidity of this dataset, we selected five mainstream lightweight SR models for evaluation. The results show thatTNG-RealSR exhibits good applicability in the task of galaxy image SR, providing reliable data support forrelated research. To the best of our knowledge, this work is the first to apply cosmological simulation-generatedsynthetic galaxy images to the field of galaxy image SR, demonstrating the feasibility of deep learning methodsbased on synthetic data for astronomical image enhancement tasks. This provides a low-cost and efficient solutionfor improving data quality in future large-scale surveys. The dataset is available online at http://gffzz188fe103f8f1460ascqnvuqw66pf96bco.ffgz.tsg.suse.edu.cn/jiaweimmiao/TNG-RealSR. 展开更多
关键词 methods data analysis-techniques image processing-astronomical databases miscellaneous-Galaxy general
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Digitization of Astronomical Photographic Plates of China and Astrometric Measurement of Single-exposure Plates 认领 引用
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作者 商正君 于涌 +9 位作者 王亮亮 杨美婷 杨静 沈世银 刘敏 徐权峰 崔辰州 樊东卫 唐正宏 赵建海 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2024年第5期103-116,共14页
From the mid-19th century to the end of the 20th century, photographic plates served as the primary detectors for astronomical observations. Astronomical photographic observations in China began in 1901, and over a ce... From the mid-19th century to the end of the 20th century, photographic plates served as the primary detectors for astronomical observations. Astronomical photographic observations in China began in 1901, and over a century, a total of approximately 30,000 astronomical photographic plates were captured. These historical plates play an irreplaceable role in conducting long-term, time-domain astronomical research. To preserve and explore these valuable original astronomical observational data, Shanghai Astronomical Observatory has organized the transportation of plates, taken during nighttime observations from various stations across the country, to the Sheshan Plate Archive for centralized preservation. For the first time, plate information statistics were calculated. On this basis, the plates were cleaned and digitally scanned, and finally digitized images were acquired for 29,314 plates. In this study, using Gaia DR2 as the reference star catalog, astrometric processing was carried out successfully on 15,696 single-exposure plates, including object extraction, stellar identification,and plate model computation. As a result, for long focal length telescopes, such as the 40 cm double-tube refractor telescope, the 1.56 m reflector telescope at Shanghai Astronomical Observatory, and the 1m reflecting telescope at Yunnan Astronomical Observatory, the astrometric accuracy obtained for their plates is approximately 0."1–0."3. The distribution of astrometric accuracy for medium and short focal length telescopes ranges from 0."3 to 1."0. The relevant data of this batch of plates, including digitized images and a stellar catalog of the plates, are archived and released by the National Astronomical Data Center. Users can access and download plate data based on keywords such as station, telescope, observation year, and observed celestial coordinates. 展开更多
关键词 methods data analysis-techniques image processing-astronomical databases miscellaneous-astrometry
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