Kavli Affiliate: Jia Liu
| First 5 Authors: Leander Thiele, Gabriela A. Marques, Jia Liu, Masato Shirasaki,
| Summary:
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 $S_8=sigma_8sqrt{Omega_m/0.3}$. 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 $S_8=0.860^{+0.066}_{-0.109}$ from the PDF alone and
$S_8=0.798^{+0.029}_{-0.042}$ from the combination of PDF and power spectrum
(68% CL). The PDF improves the power spectrum-only constraint by about 10%.
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