KiDS-1000 cosmology: Combined second- and third-order shear statistics
Pierre A. Burger, Lucas Porth, Sven Heydenreich, Laila Linke, Niek, Wielders, Peter Schneider, Marika Asgari, Tiago Castro, Klaus Dolag, Joachim, Harnois-Deraps, Konrad Kuijken, Nicolas Martinet

TL;DR
This paper presents the first cosmological parameter analysis of KiDS-1000 data combining second- and third-order shear statistics, improving constraints on matter density and structure growth.
Contribution
It introduces a combined model for second- and third-order shear statistics, validated with simulations, enabling more comprehensive cosmological analysis of KiDS-1000 data.
Findings
Constrained .248^{+0.062}_{-0.055} for .8 in .022 for S_8.
Validated modeling accuracy with shifts < 0.02 .05 sigma.
Achieved first combined second- and third-order shear analysis on KiDS-1000 data.
Abstract
This paper performs the first cosmological parameter analysis of the KiDS-1000 data with second- and third-order shear statistics. This work builds on a series of papers that describe the roadmap to third-order shear statistics. We derive and test a combined model of the second-order shear statistic, namely the COSEBIs and the third-order aperture mass statistics in a tomographic set-up. We validate our pipeline with -body simulations that mock the fourth Kilo Degree survey data release. To model the second- and third-order statistics, we use the latest version of \textsc{HMcode2020} for the power spectrum and \textsc{BiHalofit} for the bispectrum. Furthermore, we use an analytic description to model intrinsic alignments and hydro-dynamical simulations to model the effect of baryonic feedback processes. Lastly, we decreased the dimension of the data…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Particle physics theoretical and experimental studies
