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 S8≡σ8Ωm/0.3 by ≈43\% compared to standard two-point power spectra. When applied to the HSC-Y1 data, this translates into a constraint on S8=0.807±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.
Cite
@article{arxiv.2507.12315,
title = {First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data},
author = {Jessica A. Cowell and Joaquin Armijo and Leander Thiele and Gabriela A. Marques and Camila P. Novaes and Daniela Grandón and Sihao Cheng and Masato Shirasaki and David Alonso and Jia Liu},
journal= {arXiv preprint arXiv:2507.12315},
year = {2025}
}