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

doi:10.1088/0004-637X/749/2/123

YNAO OpenIR > 大样本恒星演化研究组

	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 ; Han, YK (reprint author), Chinese Acad Sci, Natl Astron Observ, Yunnan Observ, Beijing 100012, Peoples R China.
发表期刊	ASTROPHYSICAL JOURNAL
	2012-04
卷号	749 期号:2
DOI	10.1088/0004-637X/749/2/123
产权排序	第1完成单位
收录类别	SCI
关键词	Galaxies: Active Galaxies: Evolution Galaxies: Ism Galaxies: Starburst Methods: Data Analysis Methods: Statistical
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.
项目资助者	National Natural Science Foundation of China [11033008, 11103072] ; Chinese Academy of Sciences [KJCX2-YW-T24]
语种	英语
学科领域	Astronomy & Astrophysics
文章类型	Article
ISSN	0004-637X
URL	查看原文
WOS记录号	WOS:000302785700027
WOS研究方向	Astronomy & Astrophysics
WOS类目	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
引用统计	被引频次：27[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ynao.ac.cn/handle/114a53/4538
专题	大样本恒星演化研究组中国科学院天体结构与演化重点实验室
通讯作者	Han, YK (reprint author), Chinese Acad Sci, Natl Astron Observ, Yunnan Observ, Beijing 100012, Peoples R China.
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
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,Han ZW,Han, YK . DECODING SPECTRAL ENERGY DISTRIBUTIONS OF DUST-OBSCURED STARBURST-ACTIVE GALACTIC NUCLEUS[J]. ASTROPHYSICAL JOURNAL,2012,749(2).
APA	Han YK,Han ZW,&Han, YK .(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).

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