CSST Dense Star Field Preparation:A Framework for Astrometry and Photometry for Dense Star Field Images Obtained by the China Space Station Telescope(CSST)

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外文摘要：The China Space Station Telescope(CSST)is a telescope with 2 m diameter,obtaining images with high quality through wide-field observations.In its first observation cycle,to capture time-domain observation data,the CSST is proposed to observe the Galactic halo across different epochs.These data have significant potential for the study of properties of stars and exoplanets.However,the density of stars in the Galactic center is high,and it is a well-known challenge to perform astrometry and photometry in such a dense star field.This paper presents a deep learning-based framework designed to process dense star field images obtained by the CSST,which includes photometry,astrometry,and classifications of targets according to their light curve periods.With simulated CSST observation data,we demonstrate that this deep learning framework achieves photometry accuracy of 2％and astrometry accuracy of 0.03 pixel for stars with moderate brightness mag=24(i band),surpassing results obtained by traditional methods.Additionally,the deep learning based light curve classification algorithm could pick up celestial targets whose magnitude variations are 1.7 times larger than magnitude variations brought by Poisson photon noise.We anticipate that our framework could be effectively used to process dense star field images obtained by the CSST.

外文关键词：

techniques:photometricmethods:data analysisastrometry

作者：

Yining Wang、Rui Sun、Tianyuan Deng、Chenghui Zhao、Peixuan Zhao、Jiayi Yang、Peng Jia、Huigen Liu、Jilin Zhou

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作者单位：

College of Electronic Information and Optical Engineering,Taiyuan University of Technology,Taiyuan 030024,China

School of Astronomy & Space Science,Nanjing University Nanjing 210093,China

Peng Cheng Lab,Shenzhen 518066,China

基金：

National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Key R&D Program of ChinaMajor Key Project of PCLscience research grants received from the China Manned Space Projectscience research grants received from the China Manned Space Projectscience research grants received from the China Manned Space ProjectSquare Kilometre Array(SKA)ProjectCivil Aerospace Technology Research Project

项目编号：

121730271197302811933001180301212150009121730622019YFA0706601CMS-CSST-2021-B12CMS-CSST-2021-B09CMS-CSST-2021-A012020SKA0110102D050105

出版年：

2024

DOI：

10.1088/1674-4527/ad4df5

天文和天体物理学研究

中国科学院国家天文台

天文和天体物理学研究

CSTPCD

影响因子：0.406

ISSN：1674-4527

年,卷(期)：2024.24(7)