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Cosmological constraints from HSC Y1 lensing convergence PDF

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arxiv 2304.05928 v2 pith:RMV4VV34 submitted 2023-04-12 astro-ph.CO

classification astro-ph.CO
keywords convergencepowercombinationdataspectrumablealoneamplitude
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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 $S_8=\sigma_8\sqrt{\Omega_m/0.3}$. 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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models

    astro-ph.CO 2026-07 accept novelty 7.0 of 10

    A binning-based IC method yields the first N-body measurements of oscillating halo bias from cosmological collider bispectra, with mass- and assembly-dependent phases fit by peak-background-split theory.

  2. Diffusion-based mass map reconstruction from weak lensing data

    astro-ph.CO 2025-02 conditional novelty 6.0 of 10

    A single unconditioned diffusion model plus a rescaled Diffusion Posterior Sampling step reconstructs weak lensing mass maps whose power spectra and non-Gaussian statistics match the simulations.

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