Hyper Suprime-Cam Year 3 Results: Cosmology from Galaxy Clustering and Weak Lensing with HSC and SDSS using the Emulator Based Halo Model

Kavli Affiliate: Hitoshi Murayama

| First 5 Authors: Hironao Miyatake, Sunao Sugiyama, Masahiro Takada, Takahiro Nishimichi, Xiangchong Li

| Summary:

We present cosmology results from a blinded joint analysis of cosmic shear,
$xi_{pm}(vartheta)$, galaxy-galaxy weak lensing, $Delta!Sigma(R)$, and
projected galaxy clustering, $w_{rm p}(R)$, measured from the Hyper
Suprime-Cam three-year (HSC-Y3) shape catalog and the Sloan Digital Sky Survey
(SDSS) DR11 spectroscopic galaxy catalog – a 3$times$2pt cosmology analysis.
We define luminosity-cut samples of SDSS galaxies to serve as the tracers of
$w_{rm p}$ and as the lens samples for $Delta!Sigma$ in three spectroscopic
redshift bins spanning the range $0.15<z<0.7$. For the $xi_{pm}$ and
$Delta!Sigma$ measurements, we use a single source sample over 416 deg$^2$,
selected from HSC-Y3 based on having photometric redshifts (photo-$z$) greater
than 0.75. For cosmological parameter inference, we use Dark Emulator combined
with a halo occupation distribution prescription to model $w_{rm p}$ and
$Delta!Sigma$ down to quasi-nonlinear scales. In our baseline analysis we
employ an uninformative flat prior of the residual photo-$z$ error to model a
residual bias in the mean redshift of HSC source galaxies. We obtain a robust
constraint on the cosmological parameters for the flat $Lambda$CDM model:
$S_8=sigma_8(Omega_{rm m}/0.3)^{0.5}=0.763^{+0.040}_{-0.036}$ (68% C.I.), or
the best-constrained parameter given by $S’_8=sigma_8(Omega_{rm
m}/0.3)^{0.22}=0.721pm 0.028$, determined with about 4% fractional precision.
Our HSC-Y3 data exhibits about 2.5$sigma$ tension with the Planck inferred
$S_8$ value for the $Lambda$CDM model, and hints at a non-zero residual
photo-$z$ bias implying that the true mean redshift of the HSC galaxies at
$zgtrsim 0.75$ is higher than that implied by the original photo-$z$
estimates.

| Search Query: ArXiv Query: search_query=au:”Hitoshi Murayama”&id_list=&start=0&max_results=3

Read More