Kavli Affiliate: Jia Liu
| First 5 Authors: Jessica A. Cowell, Jessica A. Cowell, , ,
| Summary:
We present the first application of marked angular power spectra to weak
lensing data, using maps from the Subaru Hyper Suprime-Cam Year 1 (HSC-Y1)
survey. Marked convergence fields, constructed by weighting the convergence
field with non-linear functions of its smoothed version, are designed to encode
higher-order information while remaining computationally tractable. Using
simulations tailored to the HSC-Y1 data, we test three mark functions that up-
or down-weight different density environments. Our results show that combining
multiple types of marked auto- and cross-spectra improves constraints on the
clustering amplitude parameter $S_8equivsigma_8sqrtOmega_rm m/0.3$ by
$approx$43% compared to standard two-point power spectra. When applied to the
HSC-Y1 data, this translates into a constraint on $S_8 = 0.807pm 0.024$. We
assess the sensitivity of the marked power spectra to systematics, including
baryonic effects, intrinsic alignment, photometric redshifts, and
multiplicative shear bias. These results demonstrate the promise of marked
statistics as a practical and powerful tool for extracting non-Gaussian
information from weak lensing surveys.
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