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arXiv 2504.06367astro-ph.COhep-phhep-th
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利用高红移莱曼-α森林数据约束混合暗物质模型

Constraining Mixed Dark Matter models with high redshift Lyman-alpha forest data

Olga Garcia-Gallego, Vid Iršič, Martin G. Haehnelt, Matteo Viel, James S. Bolton

AI总结:

本研究利用Sherwood-Relics模拟和神经网络模拟器加速贝叶斯推断,通过高红移莱曼-α森林数据对冷+温暗物质模型给出严格约束,发现CWDM可缓解S8张力。

摘要:

本研究通过利用莱曼-α森林中印刻的结构形成小尺度抑制,对冷+温暗物质(CWDM)模型设定了新的约束。利用Sherwood-Relics模拟套件,我们从模拟的莱曼-α森林数据中提取高保真通量功率谱,覆盖了广泛的宇宙学和热历史范围。这使得能够对温暗物质(WDM)比例f_WDM以及WDM粒子质量m_WDM进行精确约束。我们分析的一个关键进展是在似然层面直接集成了神经网络模拟器,显著加速了贝叶斯参数推断。借助来自UVES和HIRES的高红移(z = 4.2-5.0)类星体光谱的新观测,我们建立了严格的约束上限:对于m_WDM = 1 keV,我们发现f_WDM < 0.16(2σ),而对于m_WDM = 2、3和4 keV,约束分别放宽至35%、50%和67%。我们对纯WDM的结果再次确认了先前工作的下界。至关重要的是,我们考虑了模拟的固定分辨率以及斑块状再电离的影响,证明了它们对混合暗物质约束的影响极小。这种稳健性为未来利用改进的统计样本获得更严格的界限铺平了道路。我们的发现表明,CWDM模型能够自然地容纳高红移莱曼-α森林一维通量功率中物质聚集的轻度抑制,这可能为解决低红移下一些持续存在的宇宙学张力,即S_8张力,提供一种途径。

英文摘要:

This study sets new constraints on Cold+Warm Dark Matter (CWDM) models by leveraging the small-scale suppression of structure formation imprinted in the Lyman-$α$ forest. Using the Sherwood-Relics suite, we extract high-fidelity flux power spectra from simulated Lyman-$α$ forest data, spanning a broad range of cosmologies and thermal histories. This enables precise constraints on the warm dark matter (WDM) fraction, $f_{\mathrm{WDM}}$, and the mass of the WDM particle, $m_{\mathrm{WDM}}$. A key advancement of our analysis is the integration of a neural network emulator directly at the likelihood level, significantly accelerating Bayesian parameter inference. With new observations of high-redshift ($z$ = 4.2$-$5.0) quasar spectra from UVES and HIRES, we establish stringent upper limits: for $m_{\mathrm{WDM}}$ = 1 keV, we find $f_{\mathrm{WDM}} < 0.16$ (2$σ$), with constraints loosening to 35\%, 50\%, and 67\% for $m_{\mathrm{WDM}}$ = 2, 3, and 4 keV, respectively. Our results for pure WDM reaffirm the lower bounds of previous work. Crucially, we account for the fixed resolution of simulations and the impact of patchy reionization, demonstrating their minimal influence on mixed dark matter constraints. This robustness paves the way for tighter bounds with improved statistical samples in the future. Our findings suggest that CWDM models can naturally accommodate mild suppression of matter clustering in the high redshift Lyman-$α$ forest 1D flux power, potentially offering a resolution to some of the ongoing cosmological tensions at low redshifts, namely the $S_{8}$ tension.

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