星系团红移空间畸变的迭代消除
Iterative removal of redshift space distortions from galaxy clustering
摘要：
星系团的观测是在红移空间中进行的，这导致了星系基本各向同性分布的扭曲。这些红移空间畸变（RSD）不仅降低了物质密度场的重要特征，如重子声振荡（BAO）峰，而且对观测探测器的理论建模提出了挑战。在这里，我们介绍了一个迭代的非线性重建算法，以消除RSD影响的星系聚类测量，并评估其性能，使用模拟星系目录。新的方法被发现能够恢复的$\sim1\%$的准确度的实空间星系的关联函数，并恢复四极精确$0$，尺度$s\gtrsim20\Mpch$。它还导致初始密度场的重建的改进，这可以帮助准确地定位BAO峰。提出了一种“内部校准”方案来确定宇宙学参数的值作为重建过程的一部分，并讨论了打破参数简并的可能性。RSD重建可以提供一种潜在的方法来同时提取宇宙学参数，初始密度场，真实空间星系的位置和大规模的奇特的速度场（真实宇宙），使其成为一种替代标准的微扰方法在星系聚类分析，绕过RSD建模的需要。
英文摘要：
Observations of galaxy clustering are made in redshift space, which results in distortions to the underlying isotropic distribution of galaxies. These redshift-space distortions (RSD) not only degrade important features of the matter density field, such as the baryonic acoustic oscillation (BAO) peaks, but also pose challenges for the theoretical modelling of observational probes. Here we introduce an iterative nonlinear reconstruction algorithm to remove RSD effects from galaxy clustering measurements, and assess its performance by using mock galaxy catalogues. The new method is found to be able to recover the real-space galaxy correlation function with an accuracy of $\sim1\%$, and restore the quadrupole accurately to $0$, on scales $s\gtrsim20\Mpch$. It also leads to an improvement in the reconstruction of the initial density field, which could help to accurately locate the BAO peaks. An `internal calibration' scheme is proposed to determine the values of cosmological parameters as a part of the reconstruction process, and possibilities to break parameter degeneracies are discussed. RSD reconstruction can offer a potential way to simultaneously extract the cosmological parameters, initial density field, real-space galaxy positions and large-scale peculiar velocity field (of the real Universe), making it an alternative to standard perturbative approaches in galaxy clustering analysis, bypassing the need for RSD modelling.
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