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Self-calibrating Interloper Bias in Spectroscopic Galaxy-clustering Surveys
Gong, Yan1; Miao, Haitao1; Zhang, Pengjie2,3,4; Chen, Xuelei1,5,6
2021-09-01
Source PublicationASTROPHYSICAL JOURNAL
ISSN0004-637X
Volume919Issue:1Pages:6
AbstractContamination of interloper galaxies due to misidentified emission lines can be a big issue in spectroscopic galaxy-clustering surveys, especially in future high-precision observations. We propose a statistical method based on the cross correlations of the observational data between two redshift bins to efficiently reduce this effect, and it can also derive the interloper fraction f (i) in a redshift bin with a high level of accuracy. The ratio of cross and autoangular correlation functions or power spectra between redshift bins are suggested to estimate f (i), and the key equations are derived for theoretical discussion. In order to explore and prove the feasibility and effectiveness of this method, we also run simulations, generate mock data, and perform cosmological constraints considering systematics based on the observation of China Space Station Telescope. We find that this method can effectively reduce the interloper effect, and accurately constrain the cosmological parameters for f (i) < 1% similar to 10%, which is suitable for most future surveys. This method can also be applied to other kinds of galaxy-clustering surveys like line intensity mapping.
Funding OrganizationCAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project ; CAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project ; CAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project ; CAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project
DOI10.3847/1538-4357/ac1350
WOS KeywordZCOSMOS
Language英语
Funding ProjectCAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China[11473044] ; National Natural Science Foundation of China[11973047] ; Chinese Academy of Science[QYZDJ-SSW-SLH017] ; Chinese Academy of Science[XDB 23040100] ; Chinese Academy of Science[XDA15020200] ; China Manned Space Project[CMS-CSST-2021-B01] ; China Manned Space Project[CMS-CSST-2021-A01] ; [NSFC-11822305] ; [NSFC-11773031] ; [NSFC-11633004] ; [MOST-2018YFE0120800] ; [2020SKA0110402] ; [NSFC-11621303]
Funding OrganizationCAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project ; CAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project ; CAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project ; CAS Interdisciplinary Innovation Team ; CAS Interdisciplinary Innovation Team ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Chinese Academy of Science ; China Manned Space Project ; China Manned Space Project
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000696367700001
PublisherIOP PUBLISHING LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/75674
Collection中国科学院国家天文台
Corresponding AuthorGong, Yan
Affiliation1.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China
2.Shanghai Jiao Tong Univ, Dept Astron, Shanghai 200240, Peoples R China
3.Shanghai Key Lab Particle Phys & Cosmol, Shanghai, Peoples R China
4.Tsung Dao Lee Inst, Shanghai 200240, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Peking Univ, Ctr High Energy Phys, Beijing 100871, Peoples R China
Recommended Citation
GB/T 7714
Gong, Yan,Miao, Haitao,Zhang, Pengjie,et al. Self-calibrating Interloper Bias in Spectroscopic Galaxy-clustering Surveys[J]. ASTROPHYSICAL JOURNAL,2021,919(1):6.
APA Gong, Yan,Miao, Haitao,Zhang, Pengjie,&Chen, Xuelei.(2021).Self-calibrating Interloper Bias in Spectroscopic Galaxy-clustering Surveys.ASTROPHYSICAL JOURNAL,919(1),6.
MLA Gong, Yan,et al."Self-calibrating Interloper Bias in Spectroscopic Galaxy-clustering Surveys".ASTROPHYSICAL JOURNAL 919.1(2021):6.
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