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KiDS-1000 and DES-Y1 Combined: Cosmology from Peak Count Statistics

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY(2024)

Newcastle University School of Mathematics | University of California Department of Astronomy and Astrophysics | University of Edinburgh Institute for Astronomy | Université d'Aix-Marseille | ETH Zürich Institute for Particle Physics and Astrophysics | University of Hull Excellence for Data Science | Argelander-Institut für Astronomie Department of Physics and Astronomy | ICSC -Centro Nazionale di Ricerca in High Performance Computing Big Data e Quantum Computing | Max-Planck-Institut fur Astrophysik | Ruhr University Bochum Faculty of Physics and Astronomy | University College London Department of Physics and Astronomy

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Abstract
We analyse the fourth data release of the Kilo Degree Survey (KiDS-1000) and extract cosmological parameter constraints based on the cosmic shear peak count statistics. Peaks are identified in aperture mass maps in which the filter is maximally sensitive to angular scales in the range 2-4 arcmin, probing deep into the non-linear regime of structure formation. We interpret our results with a simulation-based inference pipeline, sampling o v er a broad wCDM prior volume and marginalizing o v er uncertainties on shape calibration, photometric redshift distribution, intrinsic alignment, and baryonic feedback. Our measurements constrain the structure growth parameter and the amplitude of the non-linear intrinsic alignment model to Sigma(8) equivalent to sigma(8) [ Omega(m)/ 0 . 3 ](0 . 60) = 0 . 765 (- 0 . 030) (+ 0 . 030) and A (IA) = 0 . 71 (+ 0 . 42)(- 0 . 42) , respectively, in agreement with previous KiDS-1000 results based on two-point shear statistics. These results are robust against modelling of the non-linear physics, different scale cuts, and selections of tomographic bins. The posterior is also consistent with that from the Dark Energy Surv e y Year-1 peak count analysis presented in Harnois-Deraps et al., and hence we jointly analyse both surv e ys with a common pipeline. We obtain Sigma(8) (joint) equivalent to sigma(8) [ Omega(m)/ / 0 . 3 ] (0 . 57) = 0 . 759(- 0 . 017)(+0 . 020) , in agreement with the PlanckwCDM wCDM results. The shear-CMB tension on this parameter increases to 3 . 1 Q when forcing w = - 1 . 0, and to 4 . 1 Q if comparing instead with S-8,S-Lambda CDM (joint), = 0 . 736 + 0 . 016 - 0 . 018 , one of the tightest constraints to date on this quantity. Residual biases in the photometric redshifts of the DES-Y1 data and in the modelling of small scales physics could lower this tension, ho we ver it is robust against other systematics. Limits in the accuracy of our emulator prevent us from constraining Omega(m) .
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gravitational lensing: weak,methods: data analysis,methods: numerical,cosmological parameters,dark energy,dark matter
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要点】:本文通过结合KiDS-1000和DES-Y1数据,利用宇宙剪切峰值统计方法,对宇宙学参数进行了限制,发现结构增长参数和非线性内在 alignments 模型的幅度,与Planck的结果一致,但在假设 w = -1.0 的条件下,剪切-CMB的紧张度增加。

方法】:使用基于模拟的推理管道,在广泛的 wCDM 先验体积上进行采样,并对形状校准、测光红移分布、内在对齐和恒星反馈的不确定性进行边缘化。

实验】:通过分析KiDS-1000第四数据释放和DES-Y1数据,利用宇宙剪切峰值统计方法,得到了结构增长参数和非线性内在alignments模型的限制,其中数据集名称为KiDS-1000和DES-Y1。结果显示,结构增长参数为 Sigma(8) [ Omega(m)/ 0.3 ] (0.57) = 0.759(- 0.017)(+0.020),非线性内在alignments模型的幅度为 A(IA) = 0.71 (+ 0.42)(- 0.42)。