Assessing the Jeans Anisotropic Multi-Gaussian Expansion method with the Illustris simulation

	Assessing the Jeans Anisotropic Multi-Gaussian Expansion method with the Illustris simulation
	Li, Hongyu 1,2; Li, Ran1,3 ; Mao, Shude1,4,5,6 ; Xu, Dandan 7; Long, R. J.1,6; Emsellem, Eric 8,9,10
刊名	MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
	2016-02-01
卷号	455 期号:4 页码:3680-3692
关键词	galaxies: evolution galaxies: formation galaxies: kinematics and dynamics galaxies: structure dark matter
英文摘要	We assess the effectiveness of the Jeans Anisotropic Multi-Gaussian Expansion (JAM) technique with a state-of-the-art cosmological hydrodynamic simulation, the Illustris project. We perform JAM modelling on 1413 simulated galaxies with stellar mass M* > 10(10) M-circle dot, and construct an axisymmetric dynamical model for each galaxy. Combined with a Markov chain Monte Carlo simulation, we recover the projected root-mean-square velocity (V-rms) field of the stellar component, and investigate constraints on the stellar mass-to-light ratio, M* /L, and the fraction of dark matter f(DM) within 2.5 effective radii (R-e). We find that the enclosed total mass within 2.5 R-e is well constrained to within 10 per cent. However, there is a degeneracy between the dark matter and stellar components with correspondingly larger individual errors. The 1 sigma scatter in the recovered M* /L is 30-40 per cent of the true value. The accuracy of the recovery of M* /L depends on the triaxial shape of a galaxy. There is no significant bias for oblate galaxies, while for prolate galaxies the JAM-recovered stellar mass is on average 18 per cent higher than the input values. We also find that higher image resolutions alleviate the dark matter and stellar mass degeneracy and yield systematically better parameter recovery.
收录类别	SCI
语种	英语
WOS记录号	WOS:000368009300022
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/5487]
专题	国家天文台_星系宇宙学研究部
作者单位	1.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Computat Astrophys, Natl Astron Observ, Beijing 100012, Peoples R China 4.Tsinghua Univ, Dept Phys, Beijing 100084, Peoples R China 5.Tsinghua Univ, Tsinghua Ctr Astrophys, Beijing 100084, Peoples R China 6.Univ Manchester, Sch Phys & Astron, Jodrell Bank Ctr Astrophys, Manchester M13 9PL, Lancs, England 7.Heidelberg Inst Theoret Studies, D-69118 Heidelberg, Germany 8.Univ Lyon 1, Observ Lyon, Ctr Rech Astrophys Lyon, F-69230 St Genis Laval, France 9.Ecole Normale Super Lyon, F-69230 St Genis Laval, France 10.European So Observ, D-85748 Garching, Germany
推荐引用方式 GB/T 7714	Li, Hongyu,Li, Ran,Mao, Shude,et al. Assessing the Jeans Anisotropic Multi-Gaussian Expansion method with the Illustris simulation[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2016,455(4):3680-3692.
APA	Li, Hongyu,Li, Ran,Mao, Shude,Xu, Dandan,Long, R. J.,&Emsellem, Eric.(2016).Assessing the Jeans Anisotropic Multi-Gaussian Expansion method with the Illustris simulation.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,455(4),3680-3692.
MLA	Li, Hongyu,et al."Assessing the Jeans Anisotropic Multi-Gaussian Expansion method with the Illustris simulation".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 455.4(2016):3680-3692.