KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics-I: Inference from Analytical Prediction of High Signal-to-Noise Ratio Convergence Peaks
HuanYuan Shan, Xiangkun Liu, Hendrik Hildebrandt, Chuzhong Pan,, Nicolas Martinet, Zuhui Fan, Peter Schneider, Marika Asgari, Joachim, Harnois-D\'eraps, Henk Hoekstra, Angus Wright, J\"org P. Dietrich, Thomas, Erben, Fedor Getman, Aniello Grado, Catherine Heymans, Dominik Klaes

TL;DR
This study uses weak lensing peak statistics from KiDS-450 data to constrain cosmological parameters, validating models with simulations and accounting for systematics, providing results consistent with other cosmic shear analyses.
Contribution
First to apply analytical prediction of high SNR weak lensing peaks to constrain cosmology with KiDS-450 data, including systematic effects and model validation.
Findings
Constraints on $S_8$ and $\\Sigma_8$ consistent with cosmic shear analysis.
Results are about 2 sigma lower than Planck 2016 cosmology.
Demonstrates potential of peak statistics to complement traditional methods.
Abstract
This paper is the first of a series of papers constraining cosmological parameters with weak lensing peak statistics using of imaging data from the Kilo Degree Survey (KiDS-450). We measure high signal-to-noise ratio (SNR: ) weak lensing convergence peaks in the range of , and employ theoretical models to derive expected values. These models are validated using a suite of simulations. We take into account two major systematic effects, the boost factor and the effect of baryons on the mass-concentration relation of dark matter haloes. In addition, we investigate the impacts of other potential astrophysical systematics including the projection effects of large scale structures, intrinsic galaxy alignments, as well as residual measurement uncertainties in the shear and redshift calibration. Assuming a flat CDM model, we find constraints for…
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