Neutrino Mass Constraints from Reconstructing the Large-scale Structure:Systematic Uncertainty

作     者：Chok Lap Chung Derek Inman Xin Wang Erhao Shang Zi Zhuang Fucheng Yuan Ue-Li Pen Chok Lap Chung;Derek Inman;Xin Wang;Erhao Shang;Zi Zhuang;Fucheng Yuan;Ue-Li Pen

作者机构：School of Physics and AstronomySun Yat-Sen UniversityZhuhai 5109082China Kavli IPMU(WPI)UTIASThe University of TokyoKashiwaChiba 277-8583Japan CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay AreaSYSUChina Institute of Astronomy and AstrophysicsAcademia Sinica645 N Aohoku PlHiloHI 96720USA Canadian Institute for Theoretical Astrophysics60 St.George StreetTorontoON M5S 3H8Canada Canadian Institute for Advanced Research180 Dundas St WestTorontoON M5G 1Z8Canada Dunlap Institute for Astronomy and AstrophysicsUniversity of Toronto50 St George StreetTorontoON M5S 3H4Canada Perimeter Institute of Theoretical Physics31 Caroline Street NorthWaterlooON N2L 2Y5Canada 

出 版 物：《Research in Astronomy and Astrophysics》 (天文和天体物理学研究（英文版）)

年 卷 期：2023年第23卷第6期

页      面：65-73页

核心收录：

学科分类：07[理学] 070401[理学-天体物理] 0704[理学-天文学] 

基　　金：the support from the science research grants from the China Manned Space Project with NO.CMS-CSST-2021-B01 supported by the World Premier International Research Center Initiative(WPI),MEXT,Japan the Ontario Research Fund:Research Excellence Program(ORF-RE) Natural Sciences and Engineering Research Council of Canada(NSERC)[funding reference number RGPIN-2019-067,CRD 523638-201,555585-20] Canadian Institute for Advanced Research(CIFAR) Canadian Foundation for Innovation(CFI) the National Natural Science Foundation of China(NSFC,Grant No.11929301) Simons Foundation Thoth Technology Inc Alexander von Humboldt Foundation the Niagara supercomputers at the SciNet HPC Consortium the Canada Foundation for Innovation the Government of Ontario Ontario Research Fund—Research Excellence the University of Toronto 

主　　题：(cosmology:)large-scale structure of universe cosmology:observations neutrinos 

摘      要：We examine the possibility of applying the baryonic acoustic oscillation reconstruction method to improve the neutrino massΣm_ν*** to the Gaussianization of the process,we demonstrate that the reconstruction algorithm could improve the measurement accuracy by roughly a factor of *** the other hand,the reconstruction process itself becomes a source of systematic *** the algorithm is supposed to produce the displacement field from a density distribution,various approximations cause the reconstructed output to deviate on intermediate ***,it is still possible to benefit from this Gaussianized field,given that we can carefully calibrate the“transfer functionbetween the reconstruction output and theoretical displacement divergence from *** limitation of this approach is then set by the numerical stability of this transfer *** an ensemble of simulations,we show that such systematic error could become comparable to statistical uncertainties for a DESI-like survey and be safely neglected for other less ambitious surveys.