典型文献
Thawing k-essence dark energy in the PAge space
文献摘要：
A broad class of dark energy models can be written in the form of k-essence,whose Lagrangian density is a two-variable function of a scalar field φ and its kinetic energy X ≡ 1/2?μφ?μφ.In the thawing scenario,the scalar field becomes dynamic only when the Hubble friction drops below its mass scale in the late Universe.Thawing k-essence dark energy models can be randomly sampled by generating the Taylor expansion coefficients of its Lagrangian density from random matrices[Huang Z 2021 Phys.Rev.D 104 103533].Reference[Huang Z 2021 Phys.Rev.D 104103533]points out that the non-uniform distribution of the effective equation of state parameters(wo,wa)of the thawing k-essence model can be used to improve the statistics of model selection.The present work studies the statistics of thawing k-essence in a more general framework that is Parameterized by the Age of the Universe(PAge)[Huang Z 2020 Astrophys.J.Lett.892 L28].For fixed matter fraction Ωm,the random thawing k-essence models cluster in a narrow band in the PAge parameter space,providing a strong theoretical prior.We simulate cosmic shear power spectrum data for the Chinese Space Station Telescope optical survey,and compare the fisher forecast with and without the theoretical prior of thawing k-essence.For an optimal tomography binning scheme,the theoretical prior improves the figure of merit in PAge space by a factor of 3.3.
文献关键词：
中图分类号：
作者姓名：
Zhiqi Huang
作者机构：
School of Physics and Astronomy,Sun Yat-sen University,2 Daxue Road,Tangjia,Zhuhai 519082,China CSST Science Center for the Guangdong-Hongkong-Macau Greater Bay Area,Sun Yat-sen University,2 Daxue Road,Tangjia,Zhuhai 519082,China
文献出处：
引用格式：
[1]Zhiqi Huang-.Thawing k-essence dark energy in the PAge space)[J].理论物理,2022(09):146-153
A类：
Thawing,PAge,Astrophys
B类：
essence,dark,energy,space,broad,class,models,can,written,whose,Lagrangian,density,two,variable,function,scalar,field,its,kinetic,In,thawing,scenario,becomes,dynamic,only,when,Hubble,friction,drops,below,mass,scale,Universe,randomly,sampled,by,generating,Taylor,expansion,coefficients,from,matrices,Huang,Phys,Rev,Reference,points,that,uniform,distribution,effective,equation,state,parameters,wa,used,statistics,selection,present,studies,more,general,framework,Parameterized,Lett,L28,For,fixed,matter,fraction,cluster,narrow,band,providing,strong,theoretical,prior,We,simulate,cosmic,shear,power,spectrum,data,Chinese,Space,Station,Telescope,optical,survey,compare,fisher,forecast,without,optimal,tomography,binning,scheme,improves,figure,merit
AB值：
0.520237
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