用斯隆巡天数据同时分析宇宙背景与扰动,发现ΛCDM模型可能不一致
Model-Agnostic Cosmological Inference with SDSS-IV eBOSS: Simultaneous Probing for Background and Perturbed Universe
- 用多任务高斯过程建模宇宙距离与引力效应随红移变化
- 首次在单一巡天中约束三维宇宙演化相空间,揭示参数红移依赖性
- 方法可推广至未来巡天,适合暗能量与宇宙学检验研究者
本文利用已完成的斯隆数字巡天四期扩展重子振荡光谱巡天(SDSS-IV eBOSS)数据,通过仅使用斯隆数据重建了重子声波振荡(BAO)和红移空间畸变(RSD)观测量随红移的变化。采用多任务高斯过程(MTGP)框架建模 $D_M(z)/r_d$、$D_H(z)/r_d$ 与 $fσ_8(z)$ 之间的相互依赖关系,追踪其在不同红移下的演化。进而获得由eBOSS探测的多个红移点上三者的联合约束三维相空间。在假设ΛCDM模型下,我们对 $Ω_{m}$、$H_{0}r_{d}$、$σ_{8}$ 与 $S_{8}$ 在各红移处进行了约束。结果显示 $H_0$、$Ω_m$、$σ_8$ 与 $S_8$ 存在红移依赖趋势,暗示ΛCDM模型可能存在不一致性。该方法为基于单一巡天实现背景与扰动宇宙联合探测量化提供了模板,可轻松扩展至未来DESI-3YR及欧几里得(Euclid)结果。
原文摘要 · Abstract (English)
Here we explore certain subtle features imprinted in data from the completed Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) as a combined probe for the background and perturbed Universe. We reconstruct the baryon Acoustic Oscillation (BAO) and Redshift Space Distortion (RSD) observables as functions of redshift, using measurements from SDSS alone. We apply the Multi-Task Gaussian Process (MTGP) framework to model the interdependencies of cosmological observables $D_M(z)/r_d$, $D_H(z)/r_d$, and $fσ_8(z)$, and track their evolution across different redshifts. Subsequently, we obtain constrained three-dimensional phase space containing $D_M(z)/r_d$, $D_H(z)/r_d$, and $fσ_8(z)$ at different redshifts probed by the SDSS-IV eBOSS survey. Furthermore, assuming the $Λ$CDM model, we obtain constraints on model parameters $Ω_{m}$, $H_{0}r_{d}$, $σ_{8}$ and $S_{8}$ at each redshift probed by SDSS-IV eBOSS. This indicates redshift-dependent trends in $H_0$, $Ω_m$, $σ_8$ and $S_8$ in the $Λ$CDM model, suggesting a possible inconsistency in the $Λ$CDM model. Ours is a template for model-independent extraction of information for both background and perturbed Universe using a single galaxy survey taking into account all the existing correlations between background and perturbed observables and this can be easily extended to future DESI-3YR as well as Euclid results.
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