| 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, Lulu5,6; Zheng, Xian Zhong7; Bai JM(白金明)1,2,3,4; Han ZW(韩占文)1,2,3,4
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| 发表期刊 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
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| 2023-12-01 | |
| 卷号 | 269期号:2 |
| DOI | 10.3847/1538-4365/acfc3a |
| 产权排序 | 第1完成单位 |
| 收录类别 | SCI |
| 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. |
| 资助项目 | Stellar Astrophysics Group at Yunnan Observatories, Chinese Academy of Sciences (CAS) |
| 项目资助者 | Stellar Astrophysics Group at Yunnan Observatories, Chinese Academy of Sciences (CAS) |
| 语种 | 英语 |
| 学科领域 | 天文学 |
| 文章类型 | Article |
| 出版者 | IOP Publishing Ltd |
| 出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
| ISSN | 0067-0049 |
| URL | 查看原文 |
| WOS记录号 | WOS:001121127000001 |
| WOS研究方向 | Astronomy & Astrophysics |
| WOS类目 | Astronomy & Astrophysics |
| 关键词[WOS] | 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 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 版本 | 出版稿 |
| 条目标识符 | http://ir.ynao.ac.cn/handle/114a53/26478 |
| 专题 | 大样本恒星演化研究组 南方基地 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; [email protected]; 2.Center for Astronomical Mega-Science, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, 100012, People's Republic of China; 3.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; 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 |
| 第一作者单位 | 中国科学院云南天文台 |
| 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). |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| BayeSED-GALAXIES. I.（11491KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | |
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