中国科学:物理学 力学 天文学(英文版)2024，Vol.67Issue(8) ：207-224.DOI:10.1007/s11433-023-2384-4

Improving constraint on Ωm from SDSS using marked correlation functions

Limin Lai Jiacheng Ding Xiaolin Luo Yizhao Yang Zihan Wang Keshi Liu Guanfu Liu Xin Wang Yi Zheng Zhaoyu Li Le Zhang Xiao-Dong Li
中国科学:物理学 力学 天文学(英文版)2024，Vol.67Issue(8) ：207-224.DOI:10.1007/s11433-023-2384-4
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Improving constraint on Ωm from SDSS using marked correlation functions

Limin Lai 1Jiacheng Ding 2Xiaolin Luo 1Yizhao Yang 1Zihan Wang 2Keshi Liu 2Guanfu Liu 3Xin Wang 4Yi Zheng 4Zhaoyu Li 5Le Zhang 6Xiao-Dong Li4
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作者信息

  • 1. School of Physics and Astronomy,Sun Yat-sen University Zhuhai Campus,Zhuhai 519082,China;Department of Astronomy,Shanghai Jiao Tong University,Shanghai 200240,China
  • 2. School of Physics and Astronomy,Sun Yat-sen University Zhuhai Campus,Zhuhai 519082,China
  • 3. School of Physics and Astronomy,Sun Yat-sen University Zhuhai Campus,Zhuhai 519082,China;Department of Astronomy,Tsinghua University,Beijing 100084,China
  • 4. School of Physics and Astronomy,Sun Yat-sen University Zhuhai Campus,Zhuhai 519082,China;CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay Area,SYSU,Zhuhai 519082,China
  • 5. Department of Astronomy,Shanghai Jiao Tong University,Shanghai 200240,China
  • 6. School of Physics and Astronomy,Sun Yat-sen University Zhuhai Campus,Zhuhai 519082,China;CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay Area,SYSU,Zhuhai 519082,China;Peng Cheng Laboratory,Shenzhen 518000,China
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Abstract

Large-scale structure(LSS)surveys will increasingly provide stringent constraints on our cosmological models.Recently,the density-marked correlation function(MCF)has been introduced,offering an easily computable density-correlation statistic.Sim-ulations have demonstrated that MCFs offer additional,independent constraints on cosmological models beyond the standard two-point correlation(2PCF).In this study,we apply MCFs for the first time to SDSS CMASS data,aiming to investigate the statistical information regarding clustering and anisotropy properties in the Universe and assess the performance of various weighting schemes in MCFs,and finally obtain constraints on Ωm.Upon analyzing the CMASS data,we observe that,by combin-ing different weights(α=[-0.2,0,0.2,0.6]),the MCFs provide a tight and independent constraint on the cosmological parameterΩm,yielding Ωm=0.293±0.006 at the 1σ level,which represents a significant reduction in the statistical error by a factor of 3.4 compared to that from 2PCF.Our constraint is consistent with recent findings from the small-scale clustering of BOSS galaxies(Zhai et al.Astronphys.J.948,99(2023))within the 1σ level.However,we also find that our estimate is lower than the Planck measurements by about 2.6σ,indicating the potential presence of new physics beyond the standard cosmological model if all the systematics are fully corrected.The method outlined in this study can be extended to other surveys and datasets,allowing for the constraint of other cosmological parameters.Additionally,it serves as a valuable tool for forthcoming emulator analysis on the Chinese Space Station Telescope(CSST).

Key words

large scale structure of universe/dark energy/cosmological parameters/marked weighted correlation function

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基金项目

Ministry of Science and Technology of China(2020SKA0110401)

Ministry of Science and Technology of China(2020SKA0110402)

Ministry of Science and Technology of China(2020SKA0110100)

National Key Research and Development Program of China(2018YFA0404504)

National Key Research and Development Program of China(2018YFA0404601)

National Natural science Foundation of China(11890691)

National Natural science Foundation of China(12205388)

National Natural science Foundation of China(12220101003)

National Natural science Foundation of China(12122301)

National Natural science Foundation of China(12233001)

National Natural science Foundation of China(12073088)

China Manned Space Project,Grant No.CMS-CSST-2021(A02)

China Manned Space Project,Grant No.CMS-CSST-2021(A03)

China Manned Space Project,Grant No.CMS-CSST-2021(A04)

China Manned Space Project,Grant No.CMS-CSST-2021(B01)

Major Key Project of PCL()

111 project(B20019)

Shanghai Natural Science Research Grant(21ZR1430600)

出版年

2024
中国科学:物理学 力学 天文学(英文版)
中国科学院

中国科学:物理学 力学 天文学(英文版)

CSTPCD
影响因子：0.91
ISSN：1674-7348
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