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arXiv 2501.01698astro-ph.CO
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来自BOSS CMASS星系样本Minkowski泛函的宇宙学约束

Cosmological constraints from the Minkowski functionals of the BOSS CMASS galaxy sample

Wei Liu, Enrique Paillas, Carolina Cuesta-Lazaro, Georgios Valogiannis, Wenjuan Fang

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53 pages, 16 figures, accepted by JCAP
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AI总结：

本研究构建了基于模拟的大尺度结构Minkowski泛函宇宙学约束模型，结合神经网络模拟器分析BOSS CMASS星系样本，发现其约束能力优于两点相关函数，二者结合可大幅提升宇宙学参数约束精度。

摘要：

我们首次开发了一种基于模拟的大尺度结构Minkowski泛函（MFs）模型，该模型能够提取MFs携带的全部信息（包括高斯与非高斯部分），并将其应用于BOSS DR12 CMASS星系样本。我们的模型基于利用\textsc{Abacus}\textsc{Summit}模拟、通过暗晕占据分布（HOD）框架构建的高保真模拟星系列表，包含红移空间畸变与Alcock-Paczynski畸变，纳入了巡天几何、否决掩模等巡天真实效应，同时考虑了角向加径向选择效应。我们通过在具有不同宇宙学参数与HOD参数的星系模拟样本上训练的神经网络模拟器，来捕捉MFs的宇宙学参数与HOD参数依赖关系。为了基准测试MFs的约束能力，我们还使用相同的流程训练了一个星系两点相关函数（2PCF）的模拟器。我们通过内部与外部模拟样本（包括非HOD的暗晕-星系连接正向模型）上的参数恢复测试验证了方法的有效性，随后将正向模型用于分析红移范围$0.45<z<0.58$的CMASS数据。我们发现，MFs对宇宙学参数的约束能力强于2PCF。两者结合得到的约束为$ω_{\rm cdm}=0.1172^{+0.0020}_{-0.0023}$、$σ_8=0.783\pm 0.026$、$n_s=0.966^{+0.019}_{-0.015}$，约束精度分别比单独使用2PCF提升了2.0倍、1.9倍与1.6倍。得到的$fσ_8=0.453 \pm 0.016$约束相比2PCF也提升了1.9倍，且与Planck 2018的预测结果以及文献中一系列研究的其他结果吻合良好。

英文摘要：

For the first time, we develop a simulation-based model for the Minkowski functionals (MFs) of large-scale structure, which allows us to extract the full information available from the MFs (including both the Gaussian and non-Gaussian part), and apply it to the BOSS DR12 CMASS galaxy sample. Our model is based on high-fidelity mock galaxy catalogs constructed from the \textsc{Abacus}\textsc{Summit} simulations using the halo occupation distribution (HOD) framework, which include the redshift-space distortions and Alcock-Paczynski distortions, incorporate survey realism, including survey geometry and veto masks, and account for angular plus radial selection effects. The cosmological and HOD parameter dependence of the MFs is captured with a neural network emulator trained from the galaxy mocks with various cosmological and HOD parameters. To benchmark the constraining power of the MFs, we also train an emulator for the galaxy 2-point correlation function (2PCF) using the same pipeline. Having validated our approach through successful parameter recovery tests on both internal and external mocks, including non-HOD forward models of the halo-galaxy connection, we apply our forward model to analyze the CMASS data in the redshift range $0.45<z<0.58$. We find the MFs provide stronger constraints on the cosmological parameters than the 2PCF. The combination of the two gives $ω_{\rm cdm}=0.1172^{+0.0020}_{-0.0023}$, $σ_8=0.783\pm 0.026$, and $n_s=0.966^{+0.019}_{-0.015}$, which are tighter by a factor of 2.0, 1.9, and 1.6 than the 2PCF alone. The derived constraint $fσ_8=0.453 \pm 0.016$ is also improved by a factor of 1.9, compared to the 2PCF, and agrees well with Planck 2018 predictions and other results from a series of studies in the literature.

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