BayeSED-GALAXIES. I. Performance Test for Simultaneous Photometric Redshift and Stellar Population Parameter Estimation of Galaxies in the CSST Wide-field Multiband Imaging Survey

doi:10.3847/1538-4365/acfc3a

	BayeSED-GALAXIES. I. Performance Test for Simultaneous Photometric Redshift and Stellar Population Parameter Estimation of Galaxies in the CSST Wide-field Multiband Imaging Survey
	Han YK(韩云坤)1,2,3,4; Fan, Lulu 5,6; Zheng, Xian Zhong 7; Bai JM(白金明)1,2,3,4; Han ZW(韩占文)1,2,3,4
刊名	ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
	2023-12-01
卷号	269 期号:2
ISSN号	0067-0049
DOI	10.3847/1538-4365/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
资助项目	Stellar Astrophysics Group at Yunnan Observatories, Chinese Academy of Sciences (CAS)
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
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)
内容类型	期刊论文
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
作者单位	1.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; 2.Yunnan Observatories, Chinese Academy of Sciences, 396 Yangfangwang, Guandu District, Kunming, 650216, People's Republic of China; hanyk@ynao.ac.cn; 3.Center for Astronomical Mega-Science, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, 100012, People's Republic of China; 4.International Centre of Supernovae, Yunnan Key Laboratory, Kunming 650216, People's Republic of China; 5.Deep Space Exploration Laboratory/Department of Astronomy, University of Science and Technology of China, Hefei 230026, People's Republic of China; 6.School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, People's Republic of China; 7.Purple Mountain Observatory, Chinese Academy of Sciences, 10 Yuanhua Road, Nanjing 210023, People's Republic of China
推荐引用方式 GB/T 7714	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).