Kavli Affiliate: Jia Liu
| First 5 Authors: Joaquin Armijo, Gabriela A. Marques, Camila P. Novaes, Leander Thiele, Jessica A. Cowell
| Summary:
We use Minkowski functionals to analyse weak lensing convergence maps from
the first-year data release of the Subaru Hyper Suprime-Cam (HSC-Y1) survey.
Minkowski functionals provide a description of the morphological properties of
a field, capturing the non-Gaussian features of the Universe matter-density
distribution. Using simulated catalogs that reproduce survey conditions and
encode cosmological information, we emulate Minkowski functionals predictions
across a range of cosmological parameters to derive the best-fit from the data.
By applying multiple scales cuts, we rigorously mitigate systematic effects,
including baryonic feedback and intrinsic alignments. From the analysis,
combining constraints of the angular power spectrum and Minkowski functionals,
we obtain $S_8 equiv sigma_8sqrt{Omega_{{rm m}}/0.3} =
{0.808}_{-0.046}^{+0.033}$ and $Omega_{rm m} = {0.293}_{-0.043}^{+0.157}$.
These results represent a $40%$ improvement on the $S_8$ constraints compared
to using power spectrum only. newtext{Minkowski functionals results are
consistent with other two-point, and higher order statistics constraints using
the same data, being in agreement with CMB results from the Planck $S_8$
measurements. Our study demonstrates the power of Minkowski functionals beyond
two-point statistics to constrain and break the degeneracy between $Omega_{rm
m}$ and $sigma_8$.
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