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arXiv 2509.08057astro-ph.CO
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DESI 2024全形状分析中的基准宇宙学依赖系统误差

Fiducial-Cosmology-dependent systematics for the DESI 2024 Full-Shape Analysis

R. Gsponer, S. Ramirez-Solano, F. Rodríguez-Martínez, M. Vargas-Magaña, S. Novell-Masot, N. Findlay, H. Gil-Marín, P. Zarrouk, S. Nadathur, A. Rocher, S. Briede… 展开作者

R. Gsponer, S. Ramirez-Solano, F. Rodríguez-Martínez, M. Vargas-Magaña, S. Novell-Masot, N. Findlay, H. Gil-Marín, P. Zarrouk, S. Nadathur, A. Rocher, S. Brieden, A. Pérez-Fernández, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, F. J. Castander, T. Claybaugh, A. Cuceu, A. de la Macorra, A. de Mattia, Arjun Dey, P. Doel, A. Font-Ribera, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, G. Gutierrez, J. Guy, C. Hahn, H. K. Herrera-Alcantar, K. Honscheid, C. Howlett, D. Huterer, M. Ishak, R. Joyce, R. Kehoe, D. Kirkby, T. Kisner, A. Kremin, O. Lahav, C. Lamman, M. Landriau, L. Le Guillou, M. E. Levi, C. Magneville, M. Manera, A. Meisner, R. Miquel, J. Moustakas, E. Mueller, N. Palanque-Delabrouille, W. J. Percival, F. Prada, I. Pérez-Ràfols, G. Rossi, L. Samushia, E. Sanchez, D. Schlegel, M. Schubnell, H. Seo, J. Silber, D. Sprayberry, G. Tarlé, B. A. Weaver, C. Zhao, R. Zhou, H. Zou

AI总结:

评估基准宇宙学选择对DESI DR1星系功率谱全形状分析的影响,使用模拟目录量化五种次级宇宙学下的系统偏移,发现偏移远低于统计不确定性。

摘要:

我们评估了基准宇宙学选择对DESI 2024数据发布1(DR1)中星系功率谱全形状(FS)拟合的宇宙学推断的影响。使用基于Planck 2018最佳拟合宇宙学的AbacusSummit DR1模拟目录套件,我们量化了在五种次级宇宙学(包括物质密度变化、冷却暗能量、更高有效中微子种类数、降低的成团幅度以及DESI DR1 BAO最佳拟合$w_0w_a$CDM宇宙学)下分析数据相对于DESI基线Planck 2018宇宙学引入的潜在系统偏移。我们研究了两种互补的FS分析方法:全建模(FM)和ShapeFit(SF),它们对假设的基准模型具有不同的敏感性。在所有示踪物中,我们发现对于FM,由基准宇宙学不匹配引起的系统偏移远低于DESI DR1统计不确定性,在$\Lambda$CDM情景中最大偏差为0.22$\sigma_\mathrm{DR1}$,在扩展的$w_0w_a$CDM拟合中包括SN Ia模拟数据时最大偏差为0.12$\sigma_\mathrm{DR1+SN}$。对于SF,压缩参数的偏移对于所有示踪物和宇宙学均低于0.45$\sigma_\mathrm{DR1}$。

英文摘要:

We assess the impact of the fiducial cosmology choice on cosmological inference from full-shape (FS) fits of the galaxy power spectrum in the DESI 2024 Data Release 1 (DR1). Using a suite of AbacusSummit DR1 mock catalogues based on the Planck 2018 best-fit cosmology, we quantify potential systematic shifts introduced by analysing the data under five secondary cosmologies - featuring variations in matter density, thawing dark energy, higher effective number of neutrino species, reduced clustering amplitude, and the DESI DR1 BAO best-fit $w_0w_a$CDM cosmology - relative to DESI's baseline Planck 2018 cosmology. We investigate two complementary FS analysis approaches: full-modelling (FM) and ShapeFit (SF), each with distinct sensitivities to the assumed fiducial model. Across all tracers, we find for FM that systematic shifts induced by fiducial cosmology mismatches remain well below the DESI DR1 statistical uncertainties, with maximum deviations of 0.22$σ_\mathrm{DR1}$ in $Λ$CDM scenarios and 0.12$σ_\mathrm{DR1+SN}$ when including SN Ia mock data in extended $w_0w_a$CDM fits. For SF, the shifts in the compressed parameters remain below $0.45σ_\mathrm{DR1}$ for all tracers and cosmologies.

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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