发表机构
Observatório Nacional; Universidade de São Paulo（国家天文台; 圣保罗大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究利用S-PLUS第四次数据发布构建的QuCatS测光星表，首次完成测光类星体的层析成团性测量，测得不同红移分箱的类星体线性偏置，结果与理论模型及前期研究吻合，为线性偏置演化研究提供了新数据并完成了测光红移校准检验。
AI 中文摘要
我们对QuCatS测光星表中的类星体成团性展开研究，该星表由南天测光本地宇宙巡天（S-PLUS）的第四次数据发布构建而成。本研究的类星体样本包含23402个类星体，覆盖测光红移区间1.1 ≤ z_phot ≤ 2.6，我们将其划分为4个红移分箱以开展层析分析。在每个分箱中，我们测量了两点角关联函数，并将其与平坦ΛCDM宇宙学模型中暗物质成团性的理论预测进行对比。随后我们估算了每个分箱中与数据拟合度最佳的有效线性偏置，得到：在有效红移z_eff=1.26时，b_Q=2.17^{+0.30}_{-0.35}；在z_eff=1.63时，b_Q=2.67^{+0.36}_{-0.42}；在z_eff=2.04时，b_Q=3.29^{+0.52}_{-0.62}；在z_eff=2.38时，b_Q=4.05^{+0.71}_{-0.86}。这些测量结果与文献中的前期分析一致，且偏置的演化与Laurent等人2017年提出的b(z)参数化模型吻合良好。我们的测量是利用S-PLUS数据集开展的测光类星体层析成团性的首次宇宙学研究，为线性偏置演化的绘制提供了贡献，并为后续更大数据集的数据发布分析铺平了道路；此外，本研究还可作为QuCatS星表中类星体测光红移概率分布校准流程的一致性检验。
英文摘要
We investigate the quasar clustering in the QuCatS photometric catalog, constructed from the fourth data release of the Southern Photometric Local Universe Survey (S-PLUS). The quasar sample for this study consists of $23,402$ quasars, spanning the redshift interval $1.1 \leq z_{\rm phot} \leq 2.6$, which we divided into four bins for our tomographic analyses. In each bin, we measured the two-point angular correlation function and compared it with theoretical predictions for the clustering of dark matter in the flat-$Λ$CDM cosmological model. We then estimate the effective linear bias in each bin that best fits the data, obtaining $b_{Q}(z_{\rm eff}=1.26)=2.17^{+0.30}_{-0.35}$, $b_{Q}(z_{\rm eff}=1.63)=2.67^{+0.36}_{-0.42}$, $b_{Q}(z_{\rm eff}=2.04)=3.29^{+0.52}_{-0.62}$, and $b_{Q}(z_{\rm eff}=2.38)=4.05^{+0.71}_{-0.86}$. These measurements are consistent with previous analyses in the literature. Moreover, the evolution of the bias agrees well with the $b(z)$ parameterization proposed by \cite{laurent2017}. Our measurements constitute the first cosmological study of the tomographic clustering of photometric quasars provided by the S-PLUS dataset, contributing to the mapping of the evolution of linear bias and paving the way for future analyses of data releases with larger datasets. In addition, our study also serves as a consistency test for the calibration procedure of the photometric redshift probability distributions of the quasars in the QuCatS catalog.
