First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data

Jessica A. Cowell; Joaquin Armijo; Leander Thiele; Gabriela A. Marques; Camila P. Novaes; Daniela Grandón; Sihao Cheng; Masato Shirasaki; David Alonso; Jia Liu

arXiv · 2507.12315

First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data

Jessica A. Cowell·Joaquin Armijo·Leander Thiele·Gabriela A. Marques·Camila P. Novaes·Daniela Grandón·Sihao Cheng·Masato Shirasaki·David Alonso·Jia Liu

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Abstract

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 $S_8\equiv\sigma_8\sqrt{\Omega_{\rm m}/0.3}$ by $\approx$43\% compared to standard two-point power spectra. When applied to the HSC-Y1 data, this translates into a constraint on $S_8 = 0.807\pm 0.024$. 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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Jessica A. Cowell, Joaquin Armijo, Leander Thiele, Gabriela A. Marques, Camila P. Novaes, Daniela Grandón, Sihao Cheng, Masato Shirasaki, David Alonso, Jia Liu. 2025-07-16. First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data. https://arxiv.org/abs/2507.12315

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