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arXiv 2502.03390astro-ph.CO
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基于 BOSS DR12 与 DES 第三年测量的全形状分析对相互作用暗能量的约束

Interacting dark energy constraints from the full-shape analyses of BOSS DR12 and DES Year 3 measurements

M. Tsedrik, S. Lee, K. Markovic, P. Carrilho, A. Pourtsidou, C. Moretti, B. Bose, E. Huff, A. Robertson, P. L. Taylor, J. Zuntz

AI总结:

本文利用 DES Y3 的 3×2pt、BOSS DR12 星系功率谱多极矩及 BAO 数据约束 DS 相互作用暗能量模型,并通过归一化流联合后验表明多探针组合可改善约束、降低投影与先验影响。

摘要:

Dark Scattering(DS,暗散射)是一种相互作用暗能量模型,其特征是暗能量与暗物质之间仅交换动量。它在现象学上颇具吸引力,因为它不受 CMB 数据约束,并能够缓解 $S_8$ 张力。我们利用 Dark Energy Survey(暗能量巡天)第三年数据发布(DES Y3)中的三个两点相关函数(3×2pt),对宇宙学参数和 DS 参数进行了约束。随后,我们结合星系功率谱多极矩信息、Baryonic Acoustic Oscillation(BAO,重子声学振荡)测量,使用 Baryon Oscillation Spectroscopic Survey(重子振荡光谱巡天)第十二次数据发布(BOSS DR12)以及外部 BAO 测量。我们将这些探针直接组合所得结果,与采用 normalising flow(归一化流)方法计算的联合后验分布进行了比较。此外,我们还使用 Planck Public Release 4(PR4)开展 CMB 分析,以比较宇宙学约束。总体而言,我们发现这些探针的组合能够最大限度减小投影效应,并在无需纳入 CMB 信息的情况下改善约束。它使边缘化后验最大值更接近相应的最佳拟合值,并降低了对光谱建模冗余参数先验的敏感性。鉴于 DESI、Euclid 和 Rubin 等巡天即将发布的数据,这些发现具有高度相关性。

英文摘要:

Dark Scattering (DS) is an interacting dark energy model characterised by pure momentum exchange between dark energy and dark matter. It is phenomenologically interesting because it is unconstrained by CMB data and can alleviate the $S_8$ tension. We derive constraints on cosmological and DS parameters using three two-point correlation functions (3$\times$2pt) from the Dark Energy Survey third year data release (DES Y3). We then add information from the multipoles of the galaxy power spectrum combined with Baryonic Acoustic Oscillation (BAO) measurements using the twelfth data release of the Baryon Oscillation Spectroscopic Survey (BOSS DR12) and external BAO measurements. We compare results from the direct combination of the probes with the joint posterior distribution calculated with a normalising flow approach. Additionally, we run a CMB analysis with the Planck Public Release 4 (PR4) for comparison of the cosmological constraints. Overall, we find that the combination of probes allows minimising the projection effects and improves constraints without the need to include CMB information. It brings the marginalised posterior maxima closer to the corresponding best-fit values and weakens the sensitivity to the priors of the spectroscopic modelling nuisance parameters. These findings are highly relevant in light of forthcoming data of surveys like DESI, Euclid, and Rubin.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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