We report novel cosmological constraints obtained from cosmic voids in the final BOSS DR12 dataset. They arise from the joint analysis of geometric and dynamic distortions of average void shapes (i.e., the stacked void-galaxy cross-correlation function) in redshift space. Our model uses tomographic deprojection to infer real-space void profiles and self-consistently accounts for the Alcock-Paczynski (AP) effect and redshift-space distortions (RSD) without any prior assumptions on cosmology or structure formation. It is derived from first physical principles and provides an extremely good description of the data at linear perturbation order. We validate this model with the help of mock catalogs and apply it to the final BOSS data to constrain the RSD and AP parameters $f/b$ and $D_AH/c$, where $f$ is the linear growth rate, $b$ the linear galaxy bias, $D_A$ the comoving angular diameter distance, $H$ the Hubble rate, and $c$ the speed of light. In addition, we include two nuisance parameters in our analysis to marginalize over potential systematics. We obtain $f/b=0.540\pm0.091$ and $D_AH/c=0.588\pm0.004$ from the full void sample at a mean redshift of $z=0.51$. In a flat $\Lambda$CDM cosmology, this implies $\Omega_\mathrm{m}=0.312\pm0.020$ for the present-day matter density parameter. When we use additional information from the survey mocks to calibrate our model, these constraints improve to $f/b=0.347\pm0.023$, $D_AH/c=0.588\pm0.003$, and $\Omega_\mathrm{m}=0.311\pm0.019$. However, we emphasize that the calibration depends on the specific model of cosmology and structure formation assumed in the mocks, so the calibrated results should be considered less robust. Nevertheless, our calibration-independent constraints are among the tightest of their kind to date, demonstrating the immense potential of using cosmic voids for cosmology in current and future data.

中文翻译：

---

最终 BOSS 数据中有空洞的精密宇宙学

我们报告了从最终 BOSS DR12 数据集中的宇宙空隙获得的新宇宙学约束。它们源自对红移空间中平均空隙形状（即堆叠空隙-星系互相关函数）的几何和动态畸变的联合分析。我们的模型使用断层扫描反投影来推断真实空间的空隙轮廓，并在没有任何关于宇宙学或结构形成的先验假设的情况下，自洽地解释 Alcock-Paczynski (AP) 效应和红移空间失真 (RSD)。它源自第一物理原理，并提供了对线性扰动阶数据的极好的描述。我们在模拟目录的帮助下验证该模型并将其应用于最终 BOSS 数据以约束 RSD 和 AP 参数 $f/b$ 和 $D_AH/c$，其中 $f$ 是线性增长率，$b$ 线性星系偏差，$D_A$ 共同移动角直径距离，$H$ 哈勃率，$c$ 光速。此外，我们在分析中包括两个令人讨厌的参数，以边缘化潜在的系统性。我们从平均红移为 $z=0.51$ 的全空洞样本中获得 $f/b=0.540\pm0.091$ 和 $D_AH/c=0.588\pm0.004$。在平坦的 $\Lambda$CDM 宇宙学中，这意味着 $\Omega_\mathrm{m}=0.312\pm0.020$ 对于当今的物质密度参数。当我们使用来自调查模拟的额外信息来校准我们的模型时，这些约束改进为 $f/b=0.347\pm0.023$、$D_AH/c=0.588\pm0.003$ 和 $\Omega_\mathrm{m }=0.311\pm0.019$。然而，我们强调校准取决于模拟中假设的宇宙学和结构形成的特定模型，因此校准结果应该被认为不太可靠。