Journal article
Robust cosmic shear with small-scale nulling
- Abstract:
- Standard cosmological weak lensing analyses using cosmic shear are inevitably sensitive to small-scale, non-linear clustering from low-redshift structures. The need to adequately model the clustering of matter on this non-linear regime, accounting for both gravitational and baryonic effects, adds significant uncertainty to weak lensing studies, particularly in the context of near-future Stage-IV datasets. In this paper, inspired by previous work on so-called “nulling” techniques, we present a general method that selects the linear combinations of a given tomographic cosmic shear dataset that are least sensitive to small-scale non-linearities, by essentially suppressing the contribution from low-redshift structures. We apply this method to the latest public cosmic shear data from the Dark Energy Survey, DES-Y3, that corresponds to 3 years of observation, and show: a) that a large fraction of the signal is dominated by the single mode that is most affected by non-linear scales, and b) that removing this mode leads to a ∼ 1σ upwards shift in the preferred value of S 8 ≡ σ 8√(ΩM/0.3), alleviating the tension with current CMB data. However, the removal of the most contaminated mode also results in a significant increase in the statistical uncertainties. Taking this into account, we find this shift to be compatible with a random fluctuation caused by removing this most-contaminated mode at the ∼ 1.4σ level. We also show that this technique may be used by future Stage-IV surveys to mitigate the sensitivity of the final constraints to baryonic effects, trading precision for robustness.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.9MB, Terms of use)
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- Publisher copy:
- 10.1088/1475-7516/2025/10/017
Authors
- Publisher:
- IOP Publishing
- Journal:
- Journal of Cosmology and Astroparticle Physics More from this journal
- Volume:
- 2025
- Issue:
- 10
- Article number:
- 017
- Publication date:
- 2025-10-03
- Acceptance date:
- 2025-09-01
- DOI:
- EISSN:
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1475-7516
- Language:
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English
- Keywords:
- Pubs id:
-
2299614
- Local pid:
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pubs:2299614
- Source identifiers:
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3339469
- Deposit date:
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2025-10-03
- ARK identifier:
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- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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