Journal article
First constraints from marked angular power spectra with Subaru Hyper Suprime-Cam Survey First-Year Data
- Abstract:
- We present the first application of marked 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 by 43 per cent compared to standard two-point power spectra. When applied to the HSC-Y1 data, this translates into a constraint on . We assess the sensitivity of the marked power spectra to systematics, including baryonic effects, intrinsic alignment, photometric redshifts, and multiplicative shear bias. We note that some of the additional information introduced by the marked field originates from scales smaller than the scale cut, and is partly Gaussian in nature. This does not invalidate our systematic tests. These results demonstrate the promise of marked statistics as a practical and powerful tool for extracting non-Gaussian information from weak lensing surveys.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.2MB, Terms of use)
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- Publisher copy:
- 10.1093/mnras/stag033
Authors
+ National Agency for Research and Development
More from this funder
- Funder identifier:
- https://ror.org/02ap3w078
- Publisher:
- Oxford University Press
- Journal:
- Monthly Notices of the Royal Astronomical Society More from this journal
- Volume:
- 546
- Issue:
- 2
- Pages:
- stag033
- Article number:
- stag033
- Publication date:
- 2026-01-08
- Acceptance date:
- 2025-01-03
- DOI:
- EISSN:
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1365-2966
- ISSN:
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0035-8711
- Language:
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English
- Keywords:
- UUID:
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uuid_32c9f3ba-4d75-45a6-9fc6-11e555db2c07
- Source identifiers:
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3702093
- Deposit date:
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2026-01-28
- ARK identifier:
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Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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