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11–15 Dec 2023
Tsung-Dao Lee Institute
Asia/Shanghai timezone

Is the large-scale structure traced by the BOSS LOWZ galaxies consistent with Planck?

14 Dec 2023, 14:40
10m
Hall # 1

Hall # 1

Contributed talk in mini symposium Cosmology with large-scale structure

Speaker

Zhiwei Shao (Shanghai Jiao Tong University)

Description

Recently, several studies reported a significant discrepancy between the clustering and lensing of the Baryon Oscillation Spectroscopic Survey (BOSS) galaxies in the Planck cosmology. We construct a simple yet powerful model based on the linear theory to assess whether this discrepancy points toward deviations from Planck. Focusing on scales 10{<}R{<}30\,h^{-1}\mathrm{Mpc}, we model the amplitudes of clustering and lensing of BOSS LOWZ galaxies using three parameters: galaxy bias b_\mathrm{g}, galaxy-matter cross-correlation coefficient r_\mathrm{gm}, and A, defined as the ratio between the true and Planck values of \sigma_8. Using the cross-correlation matrix as a diagnostic, we detect systematic uncertainties that drive spurious correlations among the low-mass galaxies. After building a clean LOWZ sample with r_\mathrm{gm}{\sim}1, we derive a joint constraint of b_\mathrm{g} and A from clustering+lensing, yielding b_\mathrm{g}{=}2.47_{-0.30}^{+0.36} and A{=}0.81_{-0.09}^{+0.10}, i.e., a 2\sigma tension with Planck. However, due to the strong degeneracy between b_\mathrm{g} and A, systematic uncertainties in b_\mathrm{g} could masquerade as a tension with A{=}1. To ascertain this possibility, we develop a new method to measure b_\mathrm{g} from the cluster-galaxy cross-correlation and cluster weak lensing using an overlapping cluster sample. By applying the independent bias measurement (b_\mathrm{g}{=}1.76{\pm}0.22) as a prior, we successfully break the degeneracy and derive stringent constraints of b_\mathrm{g}{=}2.02_{-0.15}^{+0.16} and A{=}0.96{\pm}{0.07}. Therefore, our result suggests that the large-scale clustering and lensing of LOWZ galaxies are consistent with Planck, while the different bias estimates may be related to some observational systematics that needs to be mitigated in future surveys.

Primary authors

Ying Zu (Shanghai Jiao Tong University) Zhiwei Shao (Shanghai Jiao Tong University)

Presentation materials