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Assessing the effect of lens mass model in cosmological application with updated galaxy-scale strong gravitational lensing sample
Chen, Yun1; Li, Ran1,2; Shu, Yiping3; Cao, Xiaoyue1,2
2019-09-01
Source PublicationMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
ISSN0035-8711
Volume488Issue:3Pages:3745-3758
AbstractBy comparing the dynamical and lensing masses of early-type lens galaxies, one can constrain both the cosmological parameters and the density profiles of galaxies. We explore the constraining power on cosmological parameters and the effect of the lens mass model in this method with 161 galaxy-scale strong lensing systems, which is currently the largest sample with both high-resolution imaging and stellar dynamical data. We assume a power-law mass model for the lenses, and consider three different parametrizations for gamma (i.e. the slope of the total mass density profile) to include the effect of the dependence of gamma on redshift and surface mass density. When treating delta (i.e. the slope of the luminosity density profile) as a universal parameter for all lens galaxies, we find the limits on the cosmological parameter Omega(m). are quite weak and biased, and also heavily dependent on the lens mass model in the scenarios of parametrizing gamma with three different forms. When treating delta as an observable for each lens, the unbiased estimate of Omega(m) can be obtained only in the scenario of including the dependence of gamma on both the redshift and the surface mass density, that is Omega(m) = 0.381(-0.154)(+0.185) at 68 per cent confidence level in the framework of a flat Lambda CDM model. We conclude that the significant dependencies of gamma on both the redshift and the surface mass density, as well as the intrinsic scatter of delta among the lenses, need to be properly taken into account in this method.
Keywordgravitational lensing: strong Galaxies: structure cosmological parameters cosmology: observations
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship
DOI10.1093/mnras/stz1902
WOS KeywordSPECTROSCOPIC TARGET SELECTION ; DIGITAL SKY SURVEY ; DARK ENERGY ; ACS SURVEY ; INTERNAL STRUCTURE ; STELLAR ; CONSTRAINTS ; STATISTICS ; EVOLUTION ; SEPARATIONS
Language英语
Funding ProjectNational Natural Science Foundation of China[11703034] ; National Natural Science Foundation of China[11573031] ; National Natural Science Foundation of China[71773032] ; National Natural Science Foundation of China[718513] ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China[2017YFB0203300] ; Royal Society - K.C. Wong International Fellowship[NF170995]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Key Program for Science and Technology Research and Development of China ; National Key Program for Science and Technology Research and Development of China ; Royal Society - K.C. Wong International Fellowship ; Royal Society - K.C. Wong International Fellowship
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000485158400054
PublisherOXFORD UNIV PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/27672
Collection中国科学院国家天文台
Corresponding AuthorChen, Yun
Affiliation1.Chinese Acad Sci, Key Lab Computat Astrophys, Natl Astron Observ, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
3.Univ Cambridge, Inst Astron, Madingley Rd, Cambridge CB3 0HA, England
Recommended Citation
GB/T 7714
Chen, Yun,Li, Ran,Shu, Yiping,et al. Assessing the effect of lens mass model in cosmological application with updated galaxy-scale strong gravitational lensing sample[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2019,488(3):3745-3758.
APA Chen, Yun,Li, Ran,Shu, Yiping,&Cao, Xiaoyue.(2019).Assessing the effect of lens mass model in cosmological application with updated galaxy-scale strong gravitational lensing sample.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,488(3),3745-3758.
MLA Chen, Yun,et al."Assessing the effect of lens mass model in cosmological application with updated galaxy-scale strong gravitational lensing sample".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 488.3(2019):3745-3758.
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