2022
DOI: 10.1007/s11433-021-1838-1
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The S8 tension in light of updated redshift-space distortion data and PAge approximation

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Cited by 12 publications
(12 citation statements)
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“…4, datasets are compared via fitting the background IDL without RSD data (blue) and the perturbative IDL data (RSD+CC+BAO+SNe) with inclusions of RSD 2018 (green) and RSD 2021 (orange) data to the ΛCDM (top panel), PAge (medium panel) and MAPAge (bottom panel) models. In the top panel, S 8 value is uplifted from S 8 = 0.759 ± 0.029 to S 8 = 0.812 ± 0.027 so that the usual S 8 tension disappears for the ΛCDM model when updating the RSD data from RSD 2018 dataset to RSD 2021 dataset as also shown in [63]. In the medium and bottom panels, the cosmological constraints on the PAge/MAPAge parameter space are stable regardless of datasets adopted for data fitting, therefore, both the background and perturbative IDL data are equally applicable in locating the PAge/MAPAge parameter space for the late-time new-physics models.…”
Section: B Data Comparisonmentioning
confidence: 77%
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“…4, datasets are compared via fitting the background IDL without RSD data (blue) and the perturbative IDL data (RSD+CC+BAO+SNe) with inclusions of RSD 2018 (green) and RSD 2021 (orange) data to the ΛCDM (top panel), PAge (medium panel) and MAPAge (bottom panel) models. In the top panel, S 8 value is uplifted from S 8 = 0.759 ± 0.029 to S 8 = 0.812 ± 0.027 so that the usual S 8 tension disappears for the ΛCDM model when updating the RSD data from RSD 2018 dataset to RSD 2021 dataset as also shown in [63]. In the medium and bottom panels, the cosmological constraints on the PAge/MAPAge parameter space are stable regardless of datasets adopted for data fitting, therefore, both the background and perturbative IDL data are equally applicable in locating the PAge/MAPAge parameter space for the late-time new-physics models.…”
Section: B Data Comparisonmentioning
confidence: 77%
“…For RSD data, we test for three f σ 8 compilations [63,86,101] (dubbed as RSD 2017, 2018 and 2021 data sets) as also listed in Tab. III for your convenience.…”
Section: Rsd Datamentioning
confidence: 99%
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“…Compared to the logarithm polynomial approximation, the recently proposed PAge approximation displays many prominent advantages in blindly modelling the late cosmological expansion history (Huang 2020;Luo et al 2020;Huang et al 2021bHuang et al ,a, 2022Cai et al 2022a,b;Huang 2022). Faithfully obeying the asymptotic matter-dominated assumption 1 1+𝑧 ∝ 𝑡 p age accelerate (q 0 < 0) decelerate (q 0 > 0)…”
Section: Cosmological Scenementioning
confidence: 99%
“…The key is to adopt modelindependent approaches and independent samples. To avoid model dependence, we perform our analyses in PAge approximation (Parameterization based on cosmic Age) which is a general approximation of many late-time cosmological models and a nearly modelindependent framework (Huang 2020;Luo et al 2020;Huang et al 2021bHuang et al ,a, 2022Cai et al 2022a,b;Huang 2022). In addition, we take the most up-to-date QSO samples compiled by Lusso et al (2020) as our data set.…”
Section: Introductionmentioning
confidence: 99%