First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data
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| Autores principales: | , , , , , , , , , |
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| Formato: | Preprint |
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2025
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| _version_ | 1866915393531019264 |
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| author | Cowell, Jessica A. Armijo, Joaquin Thiele, Leander Marques, Gabriela A. Novaes, Camila P. Grandón, Daniela Cheng, Sihao Shirasaki, Masato Alonso, David Liu, Jia |
| author_facet | Cowell, Jessica A. Armijo, Joaquin Thiele, Leander Marques, Gabriela A. Novaes, Camila P. Grandón, Daniela Cheng, Sihao Shirasaki, Masato Alonso, David Liu, Jia |
| contents | 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 $S_8\equivσ_8\sqrt{Ω_{\rm m}/0.3}$ 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_12315 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data Cowell, Jessica A. Armijo, Joaquin Thiele, Leander Marques, Gabriela A. Novaes, Camila P. Grandón, Daniela Cheng, Sihao Shirasaki, Masato Alonso, David Liu, Jia Cosmology and Nongalactic Astrophysics 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 $S_8\equivσ_8\sqrt{Ω_{\rm m}/0.3}$ 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. |
| title | First Constraints from Marked Angular Power Spectra with Subaru Hyper Suprime-Cam Survey First-Year Data |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2507.12315 |