NAOC Open IR
The local and global properties of different types of supernova host galaxies
Zhou, Li1,2; Liang, Yan-Chun2; Ge, Jun-Qiang2; Zhu, Yi-Nan1; Shao, Xu2; Wu, Hong2; Shi, Wei-Bin3; Deng, Li-Cai2
2020-11-01
Source PublicationRESEARCH IN ASTRONOMY AND ASTROPHYSICS
ISSN1674-4527
Volume20Issue:11Pages:13
AbstractBy using Data Analysis Pipeline (DAP) products of Mapping Nearby Galaxies at Apache Point Observatory (MaNGA), which are publicly available from the SDSS Data Release 15, we analyze the local properties at the SN explosion sites and global properties of different types of SN host galaxies to explore the explosion environments of different types of SNe. In our sample, there are 67 SN host galaxies in the field of view of MaNGA, including 32 Type Ia, 29 core collapse SNe (CCSNe), 1 superluminous SN (SLSN), 1 Type I and 4 unclassified type of SNe, with which we can apply the K-S test for analysis and derive statistically robust results. Due to the limited sample size, we could not remove the mass dependence in this work, which is likely the true driver of the trends for the properties presented in this work. The global star formation rate (SFR) and EW(H alpha) for SN Ia hosts are slightly lower than those for CCSN hosts on average. SN Ia host galaxies are similar to 0.3 dex more massive than CCSN hosts, which implies that the number ratio of CCSNe to Type Ia SNe will decrease with increasing stellar mass of host galaxies. The stellar population age of SN Ia host galaxies is older than that of CCSN hosts on average. There is no significant difference between different types of SN hosts for some properties, including local SFR density (sigma SFR), and local and global gas-phase oxygen abundance. For most galaxies in our sample, the global gas-phase oxygen abundance estimated from the integrated spectra of SN hosts can represent the local gas-phase oxygen abundance at the SN explosion sites with small bias.
Keywordgalaxies abundances galaxies general galaxies stellar content supernovae general techniques spectroscopic
Funding OrganizationNational Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; National Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; National Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; National Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah
DOI10.1088/1674-4527/20/11/169
WOS KeywordSTAR-FORMING GALAXIES ; H-II REGIONS ; OXYGEN ABUNDANCES ; HII-REGIONS ; PROGENITORS ; EVOLUTION ; CLASSIFICATION ; METALLICITIES ; POPULATION ; COLLAPSE
Language英语
Funding ProjectNational Science Foundation of China[11733006] ; National Science Foundation of China[11903046] ; National Science Foundation of China[U1631105] ; Beijing Municipal Natural Science Foundation[1204038] ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah
Funding OrganizationNational Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; National Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; National Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah ; National Science Foundation of China ; National Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Beijing Municipal Natural Science Foundation ; Alfred P. Sloan Foundation ; Alfred P. Sloan Foundation ; U.S. Department of Energy Office of Science ; U.S. Department of Energy Office of Science ; Center for High-Performance Computing at the University of Utah ; Center for High-Performance Computing at the University of Utah
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000593517900001
PublisherNATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
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Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/80538
Collection中国科学院国家天文台
Corresponding AuthorZhou, Li
Affiliation1.Sun Yat Sen Univ, Sch Phys & Astron, Dept Astron, Zhuhai 519082, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China
3.Shandong Univ Weihai, Sch Space Sci & Phys, Shandong Prov Key Lab Opt Astron & Solar Terr Env, Weihai 264209, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Li,Liang, Yan-Chun,Ge, Jun-Qiang,et al. The local and global properties of different types of supernova host galaxies[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2020,20(11):13.
APA Zhou, Li.,Liang, Yan-Chun.,Ge, Jun-Qiang.,Zhu, Yi-Nan.,Shao, Xu.,...&Deng, Li-Cai.(2020).The local and global properties of different types of supernova host galaxies.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,20(11),13.
MLA Zhou, Li,et al."The local and global properties of different types of supernova host galaxies".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 20.11(2020):13.
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