中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
BayeSED-GALAXIES. I. Performance Test for Simultaneous Photometric Redshift and Stellar Population Parameter Estimation of Galaxies in the CSST Wide-field Multiband Imaging Survey

文献类型:期刊论文

作者Han YK(韩云坤)1,5,6,7; Fan, Lulu3,4; Zheng, Xian Zhong2; Bai JM(白金明)1,5,6,7; Han ZW(韩占文)1,5,6,7
刊名ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
出版日期2023-12-01
卷号269期号:2
ISSN号0067-0049
DOI10.3847/1538-4365/acfc3a
产权排序第1完成单位
文献子类Article
英文摘要The forthcoming Chinese Space Station Telescope (CSST) wide-field multiband imaging survey will produce seven-band photometric spectral energy distributions (SEDs) for billions of galaxies. The effective extraction of astronomical information from these massive data sets of SEDs relies on the techniques of SED synthesis (or modeling) and SED analysis (or fitting). We evaluate the performance of the latest version of the BayeSED code combined with SED models with increasing complexity for simultaneously determining the photometric redshifts and stellar population parameters of galaxies in this survey. By using an empirical statistics-based mock galaxy sample without SED modeling errors, we show that the random observational errors in photometries are more important sources of errors than the parameter degeneracies and Bayesian analysis method and tool. By using a Horizon-AGN hydrodynamical simulation-based mock galaxy sample with SED modeling errors about the star formation histories (SFHs) and dust attenuation laws (DALs), the simple typical assumptions lead to significantly worse parameter estimation with CSST photometries only. SED models with more flexible (or complicated) forms of SFH/DAL do not necessarily lead to better estimation of redshift and stellar population parameters. We discuss the selection of the best SED model by means of Bayesian model comparison in different surveys. Our results reveal that Bayesian model comparison with Bayesian evidence may favor SED models with different complexities when using photometries from different surveys. Meanwhile, the SED model with the largest Bayesian evidence tends to give the best performance of parameter estimation, which is clearer for photometries with higher discriminative power.
学科主题天文学
URL标识查看原文
出版地TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
WOS关键词STAR-FORMATION HISTORIES ; SPECTRAL ENERGY-DISTRIBUTION ; INITIAL MASS FUNCTION ; DUST ATTENUATION CURVES ; ACTIVE GALACTIC NUCLEI ; MONTE-CARLO METHODS ; PHYSICAL-PROPERTIES ; CHEMICAL EVOLUTION ; COSMIC EVOLUTION ; SYSTEMATIC VARIATION
资助项目Stellar Astrophysics Group at Yunnan Observatories, Chinese Academy of Sciences (CAS)
WOS研究方向Astronomy & Astrophysics
语种英语
出版者IOP Publishing Ltd
WOS记录号WOS:001121127000001
资助机构Stellar Astrophysics Group at Yunnan Observatories, Chinese Academy of Sciences (CAS)
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/26478]  
专题云南天文台_大样本恒星演化研究组
云南天文台_丽江天文观测站(南方基地)
云南天文台_中国科学院天体结构与演化重点实验室
作者单位1.Yunnan Observatories, Chinese Academy of Sciences, 396 Yangfangwang, Guandu District, Kunming, 650216, People's Republic of China; hanyk@ynao.ac.cn;
2.Purple Mountain Observatory, Chinese Academy of Sciences, 10 Yuanhua Road, Nanjing 210023, People's Republic of China
3.School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, People's Republic of China;
4.Deep Space Exploration Laboratory/Department of Astronomy, University of Science and Technology of China, Hefei 230026, People's Republic of China;
5.International Centre of Supernovae, Yunnan Key Laboratory, Kunming 650216, People's Republic of China;
6.Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, 396 Yangfangwang, Guandu District, Kunming, 650216, People's Republic of China;
7.Center for Astronomical Mega-Science, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, 100012, People's Republic of China;
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Han YK,Fan, Lulu,Zheng, Xian Zhong,et al. BayeSED-GALAXIES. I. Performance Test for Simultaneous Photometric Redshift and Stellar Population Parameter Estimation of Galaxies in the CSST Wide-field Multiband Imaging Survey[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2023,269(2).
APA 韩云坤,Fan, Lulu,Zheng, Xian Zhong,白金明,&韩占文.(2023).BayeSED-GALAXIES. I. Performance Test for Simultaneous Photometric Redshift and Stellar Population Parameter Estimation of Galaxies in the CSST Wide-field Multiband Imaging Survey.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,269(2).
MLA 韩云坤,et al."BayeSED-GALAXIES. I. Performance Test for Simultaneous Photometric Redshift and Stellar Population Parameter Estimation of Galaxies in the CSST Wide-field Multiband Imaging Survey".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 269.2(2023).

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