DECODING SPECTRAL ENERGY DISTRIBUTIONS OF DUST-OBSCURED STARBURST-ACTIVE GALACTIC NUCLEUS

	DECODING SPECTRAL ENERGY DISTRIBUTIONS OF DUST-OBSCURED STARBURST-ACTIVE GALACTIC NUCLEUS
	Han YK(韩云坤)1,2,3 ; Han ZW(韩占文)1,3
刊名	ASTROPHYSICAL JOURNAL
	2012-04
卷号	749 期号:2
关键词	galaxies: active galaxies: evolution galaxies: ISM galaxies: starburst methods: data analysis methods: statistical
ISSN号	0004-637X
通讯作者	Han, YK (reprint author), Chinese Acad Sci, Natl Astron Observ, Yunnan Observ, Beijing 100012, Peoples R China.
产权排序	第一完成单位
英文摘要	We present BayeSED, a general purpose tool for Bayesian analysis of spectral energy distributions (SEDs) using pre-existing model SED libraries or their linear combinations. The artificial neural networks, principal component analysis, and multimodal-nested sampling (MultiNest) techniques are employed to allow the highly efficient sampling of posterior distribution and the calculation of Bayesian evidence. As a demonstration, we apply this tool to a sample of hyperluminous infrared galaxies (HLIRGs). The Bayesian evidence obtained for a pure starburst, a pure active galactic nucleus (AGN), and a linear combination of starburst+AGNmodels show that the starburst+AGN model has the highest evidence for all galaxies in this sample. The Bayesian evidence for the three models and the estimated contributions of starbursts and AGNs to infrared luminosity show that HLIRGs can be classified into two groups: one dominated by starbursts and the other dominated by AGNs. Other parameters and corresponding uncertainties about starbursts and AGNs are also estimated using the model with the highest Bayesian evidence. We find that the starburst region of the HLIRGs dominated by starbursts tends to be more compact and has a higher fraction of OB stars than that of HLIRGs dominated by AGNs. Meanwhile, the AGN torus of the HLIRGs dominated by AGNs tends to be more dusty than that of HLIRGs dominated by starbursts. These results are consistent with previous researches, but need to be tested further with larger samples. Overall, we believe that BayeSED could be a reliable and efficient tool for exploring the nature of complex systems such as dust-obscured starburst-AGN composite systems by decoding their SEDs.
学科主题	Astronomy & Astrophysics
WOS标题词	Science & Technology ; Physical Sciences
类目[WOS]	Astronomy & Astrophysics
研究领域[WOS]	Astronomy & Astrophysics
关键词[WOS]	EVOLUTIONARY POPULATION SYNTHESIS ; ESTIMATING PHOTOMETRIC REDSHIFTS ; HYPERLUMINOUS INFRARED GALAXIES ; ARTIFICIAL NEURAL-NETWORKS ; SUPERMASSIVE BLACK-HOLES ; STAR-FORMATION RATES ; DIGITAL SKY SURVEY ; STELLAR POPULATION ; BAYESIAN-INFERENCE ; RADIATIVE-TRANSFER
收录类别	SCI
原文出处	http://iopscience.iop.org/article/10.1088/0004-637X/749/2/123/meta
语种	英语
WOS记录号	WOS:000302785700027
内容类型	期刊论文
源URL	[http://ir.ynao.ac.cn/handle/114a53/4538]
专题	云南天文台_大样本恒星演化研究组云南天文台_中国科学院天体结构与演化重点实验室
作者单位	1.National Astronomical Observatories/Yunnan Observatory, Chinese Academy of Sciences, Beijing 100012, China 2.Graduate University of Chinese Academy of Sciences, Beijing 100049, China 3.Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming 650011, China
推荐引用方式 GB/T 7714	Han YK,Han ZW. DECODING SPECTRAL ENERGY DISTRIBUTIONS OF DUST-OBSCURED STARBURST-ACTIVE GALACTIC NUCLEUS[J]. ASTROPHYSICAL JOURNAL,2012,749(2).
APA	Han YK,&Han ZW.(2012).DECODING SPECTRAL ENERGY DISTRIBUTIONS OF DUST-OBSCURED STARBURST-ACTIVE GALACTIC NUCLEUS.ASTROPHYSICAL JOURNAL,749(2).
MLA	Han YK,et al."DECODING SPECTRAL ENERGY DISTRIBUTIONS OF DUST-OBSCURED STARBURST-ACTIVE GALACTIC NUCLEUS".ASTROPHYSICAL JOURNAL 749.2(2012).