Kavli Affiliate: Masahiro Takada
| First 5 Authors: Tianqing Zhang, Tianqing Zhang, , ,
| Summary:
The combination of galaxy clustering and weak lensing is a powerful probe of
the cosmology model. We present a joint analysis of galaxy clustering and weak
lensing cosmology using SDSS data as the tracer of dark matter (lens sample)
and the HSC Y3 dataset as source galaxies. The analysis divides HSC Y3 galaxies
into four tomographic bins for both galaxy-galaxy lensing and cosmic shear
measurements, and employs a point-mass correction model to utilize
galaxy-galaxy lensing signals down to 2$h^-1$Mpc, extending up to
70$h^-1$Mpc. These strategies enhance the signal-to-noise ratio of the
galaxy-galaxy lensing data vector. Using a flat $Lambda$CDM model, we find
$S_8 = 0.780^+0.029_-0.030$, and using a $w$CDM model, we obtain $S_8 =
0.756^+0.038_-0.036$ with $w = -1.176^+0.310_-0.346$. We apply
uninformative priors on the redshift mean-shift parameters for the third and
fourth tomographic bins. Leveraging the self-calibration power of tomographic
weak lensing, we measure $Delta z_3 = -0.112^+0.046_-0.049$ and $Delta
z_4 = -0.185^+0.071_-0.081$, in agreement with previous HSC Y3 results.
This demonstrates that weak lensing self-calibration can achieve redshift
constraints comparable to other methods such as photometric and clustering
redshift calibration.
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