Kavli Affiliate: David Spergel
| First 5 Authors: Masato Shirasaki, Cristóbal Sifón, Hironao Miyatake, Erwin Lau, Zhuowen Zhang
| Summary:
We present a stacked lensing analysis of 96 galaxy clusters selected by the
thermal Sunyaev-Zel’dovich (SZ) effect in maps of the cosmic microwave
background (CMB). We select foreground galaxy clusters with a $5sigma$-level
SZ threshold in CMB observations from the Atacama Cosmology Telescope, while we
define background source galaxies for the lensing analysis with secure
photometric redshift cuts in Year 3 data of the Subaru Hyper Suprime Cam
survey. We detect the stacked lensing signal in the range of $0.1 < R,
[h^{-1}mathrm{Mpc}] < 100$ in each of three cluster redshift bins,
$0.092<zle0.445$, $0.445<zle0.695$, and $0.695<zle1.180$, with 32 galaxy
clusters in each bin. The cumulative signal-to-noise ratios of the lensing
signal are $14.6$, $12.0$, and $6.6$, respectively. Using a halo-based forward
model, we then constrain statistical relationships between the mass inferred
from the SZ observation (i.e. SZ mass) and the total mass derived from our
stacked lensing measurements. At the average SZ mass in the cluster sample
($2.1-2.4times10^{14}, h^{-1}M_odot$), our likelihood analysis shows that
the average total mass differs from the SZ counterpart by a factor of $1.3 pm
0.2$, $1.6 pm 0.2$, and $1.6 pm 0.3$ ($68%$) in the aforementioned redshift
ranges, respectively. Our limits are consistent with previous lensing
measurements, and we find that the cluster modeling choices can introduce a
$1sigma$-level difference in our parameter inferences.
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