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arXiv 2412.08151astro-ph.CO
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在全形状分析中通过星系内禀对齐改进宇宙学约束

Improving cosmological constraints via galaxy intrinsic alignment in full-shape analysis

Junsup Shim, Teppei Okumura, Atsushi Taruya

AI总结:

本文首次利用全形状内禀对齐统计量进行Fisher预报,证明星系内禀对齐能显著改进动力学暗能量和修改引力等模型的宇宙学参数约束。

摘要:

星系形状的内禀对齐(IA)探测底层的引力潮汐场,因此提供了与星系成团性互补的宇宙学信息。在本文中,我们首次利用内禀对齐统计量的全形状(FS)信息,进行Fisher预报以评估内禀对齐在改进宇宙学参数约束方面的收益。我们的预报分别以PFS类巡天和Euclid类巡天作为深场和宽场星系巡天的示例。我们探索了多种宇宙学模型,其中最全面的模型同时包含动力学暗能量、曲率、有质量中微子和修改引力(MG)。我们发现,相对于仅使用成团性全形状信息的情形,加入全形状内禀对齐信息能够显著收紧宇宙学约束,尤其是对于动力学暗能量和非平坦修改引力模型。对于深场星系巡天,在所研究的所有动力学暗能量模型中,暗能量状态方程参数的品质因数(Figure-of-Merit)至少提高了40%以上。对于非平坦修改引力模型,除暗物质密度和谱指数参数外,参数约束被收紧6-28%。对于宽场星系巡天,内禀对齐带来的改进较为温和,尽管其联合约束比深场巡天的约束更紧。我们的发现凸显了星系内禀对齐作为星系成团性的补充宇宙学探针的有效性。

英文摘要:

The intrinsic alignment (IA) of galaxy shapes probes the underlying gravitational tidal field, thus offering cosmological information complementary to galaxy clustering. In this paper, we perform a Fisher forecast to assess the benefit of IA in improving cosmological parameter constraints, for the first time, leveraging the full-shape (FS) information of IA statistics. Our forecast is based on PFS-like and Euclid-like surveys as examples of deep and wide galaxy surveys, respectively. We explore various cosmological models, with the most comprehensive one simultaneously including dynamical dark energy, curvature, massive neutrinos, and modified gravity (MG). We find that adding FS IA information significantly tightens cosmological constraints relative to the FS clustering-only cases, particularly for dynamical dark energy and nonflat-MG models. For a deep galaxy survey, the Figure-of-Merit for the dark energy equation of state parameters is improved by at least more than $40\%$ in all dynamical dark energy models investigated. For nonflat-MG models, parameter constraints are tightened by $6-28\%$, except for the dark matter density and spectral index parameters. For a wide galaxy survey, improvements with IA become milder, although its joint constraints are tighter than those from the deep survey. Our findings highlight the efficacy of the galaxy IA as a complementary cosmological probe to galaxy clustering.

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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