Cosmological constraints from HSC Y1 lensing convergence PDF
arXiv:2304.05928
Abstract
We utilize the probability distribution function (PDF) of normalized convergence maps reconstructed from the Subaru Hyper Suprime-Cam (HSC) Y1 shear catalogue, in combination with the power spectrum, to measure the matter clustering amplitude . The large-scale structure's statistical properties are incompletely described by the traditional two-point statistics, motivating our investigation of the PDF -- a complementary higher-order statistic. By defining the PDF over the standard deviation-normalized convergence map we are able to isolate the non-Gaussian information. We use tailored simulations to compress the data vector and construct a likelihood approximation. We mitigate the impact of survey and astrophysical systematics with cuts on smoothing scales, redshift bins, and data vectors. We find from the PDF alone and from the combination of PDF and power spectrum (68% CL). The PDF improves the power spectrum-only constraint by about 10%.
arXiv comment6+4 pages, 4+4 figures; PRD accepted version
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