Cosmological constraints from weak lensing scattering transform using HSC Y1 data

Journal of Cosmology and Astroparticle Physics, vol. 2025, pp. 006

Abstract

Abstract As weak lensing surveys go deeper, there is an increasing need for reliable characterization of non-Gaussian structures at small angular scales. Here we present the first cosmological constraints with weak lensing scattering transform, a statistical estimator that combines efficiency, robustness, and interpretability. With the Hyper Suprime-Cam survey (HSC) year 1 data, we obtain Ω m = 0.29 -0.03 +0.04 , S S 8 ≡ σ 8 (Ω m /0.3) 0.5 = 0.83±0.02, and intrinsic alignment strength A IA = 1.0±0.4 through simulation-based forward modeling. Our constraints are consistent with those derived from Planck . The error bar of Ω m is 2 times tighter than that obtained from the power spectrum when the same scale range is used. This constraining power is on par with that of convolutional neural networks, suggesting that further investment in spatial information extraction may not yield substantial benefits. We also point out an internal tension of S 8 estimates linked to a redshift bin around z ∼ 1 in the HSC data. We found that discarding that bin leads to a consistent decrease of S 8 from 0.83 to 0.79, for all statistical estimators. We argue that photometric redshift estimation is now the main limitation in the estimation of S 8 using HSC. This limitation is likely to affect other ground-based weak lensing surveys reaching redshifts greater than one. Alternative redshift estimation techniques, like clustering redshifts, may help alleviate this limitation.

Authors 7

1. Sihao Cheng
2. Gabriela A. Marques

   Fermi National Accelerator Laboratory · University of Chicago

   Affiliation as printed

   Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510, U.S.A

   Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, U.S.A

3. Daniela Grandón Aachen Mathematical Institute

   Leiden University · University of Chile

   Affiliation as printed

   Departamento de Física, FCFM, Universidad de Chile, Blanco Encalada 2008, Santiago, Chile

   Mathematical Institute, Leiden University, Gorlaeus Gebouw, Einsteinweg 55, Leiden NL-2333 CC, The Netherlands

4. Leander Thiele

   Kavli Institute for the Physics and Mathematics of the Universe · Princeton University · The University of Tokyo

   Affiliation as printed

   Center for Data-Driven Discovery, Kavli IPMU (WPI), UTIAS, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan

   Department of Physics, Princeton University, Princeton, NJ 08544, U.S.A

5. Masato Shirasaki

   National Institutes of Natural Sciences · The Institute of Statistical Mathematics · National Astronomical Observatory of Japan

   Affiliation as printed

   National Astronomical Observatory of Japan (NAOJ), National Institutes of Natural Sciences, Osawa, Mitaka, Tokyo 181-8588, Japan

   The Institute of Statistical Mathematics, Tachikawa, Tokyo 190-8562, Japan

6. Brice Ménard

   Johns Hopkins University

   Affiliation as printed

   Department of Physics and Astronomy, The Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, U.S.A

7. Jia Liu

   Kavli Institute for the Physics and Mathematics of the Universe · The University of Tokyo

   Affiliation as printed

   Center for Data-Driven Discovery, Kavli IPMU (WPI), UTIAS, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan