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Cosmological inference from the emulator based halo model II: Joint analysis of galaxy-galaxy weak lensing and galaxy clustering from HSC-Y1 and SDSS (2111.02419v2)

Published 3 Nov 2021 in astro-ph.CO

Abstract: We present high-fidelity cosmology results from a blinded joint analysis of galaxy-galaxy weak lensing ($\Delta!\Sigma$) and projected galaxy clustering ($w_{\rm p}$) measured from the Hyper Suprime-Cam Year-1 (HSC-Y1) data and spectroscopic Sloan Digital Sky Survey (SDSS) galaxy catalogs in the redshift range $0.15<z<0.7$. We define luminosity-limited samples of SDSS galaxies to serve as the tracers of $w_{\rm p}$ in three spectroscopic redshift bins, and as the lens samples for $\Delta!\Sigma$. For the $\Delta!\Sigma$ measurements, we select a single sample of 4 million source galaxies over 140 deg$2$ from HSC-Y1 with photometric redshifts (photo-$z$) greater than 0.75, enabling a better handle of photo-$z$ errors by comparing the $\Delta!\Sigma$ amplitudes for the three lens redshift bins. For cosmological parameter inference, we use an input galaxy-halo connection model built on the {\tt Dark Emulator} package with a halo occupation distribution that includes nuisance parameters to marginalize over modeling uncertainties. We model the $\Delta!\Sigma$ and $w_{\rm p}$ measurements on scales from $R\simeq 3$ and $2\,h{-1}{\rm Mpc}$, respectively, up to $30\,h{-1}{\rm Mpc}$ assuming a flat $\Lambda$CDM cosmology. With various tests using mock catalogs described in Miyatake et al. (2021), we show that any bias in the clustering amplitude $S_8\equiv \sigma_8(\Omega_{\rm m}/0.3){0.5}$ due to uncertainties in the galaxy-halo connection is less than $\sim50$\% of the statistical uncertainty of $S_8$, {\it unless} the assembly bias effect is unexpectedly large. Our best-fit models have $S_8=0.795{+0.049}_{-0.042}$ (mode and 68\% credible interval) for the flat $\Lambda$CDM model; we find tighter constraints on the quantity $S_8(\alpha=0.17)\equiv\sigma_8(\Omega_{\rm m}/0.3){0.17} =0.745{+0.039}_{-0.031}$. (abriged)

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