Dark Energy Survey Year 3 results: Simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps. Validation on simulations

Journal Article · 20 March 2024 · Physical Review. D.

DOI: https://doi.org/10.1103/physrevd.109.063534 · OSTI ID:2349264

Gatti, M.  ^[1]; Jeffrey, N.; Whiteway, L.; Williamson, J.; Jain, B.; Ajani, V.; Anbajagane, D.; Giannini, G.; Zhou, C.; Porredon, A.; Prat, J.; Yamamoto, M.; Blazek, J.; Kacprzak, T.; Samuroff, S.; Alarcon, A.; Amon, A.; Bechtol, K.; Becker, M.; Bernstein, G. ; Campos, A.; Chang, C.; Chen, R.; Choi, A.; Davis, C.; Derose, J.; Diehl, H.  T.; Dodelson, S.; Doux, C.; Eckert, K.; Elvin-Poole, J.; Everett, S.; Ferte, A.; Gruen, D.; Gruendl, R.; Harrison, I.; Hartley, W.  G.; Herner, K.; Huff, E.  M.; Jarvis, M.; Kuropatkin, N.; Leget, P.  F.; MacCrann, N.; McCullough, J.; Myles, J.; Navarro-Alsina, A.; Pandey, S.; Raveri, M.; Rollins, R.  P.; Roodman, A.; Sanchez, C.; Secco, L.  F.; Sevilla-Noarbe, I.; Sheldon, E.; Shin, T.; Troxel, M.; Tutusaus, I.; Varga, T.  N.; Yanny, B.; Yin, B.; Zhang, Y.; Zuntz, J.; Aguena, M.; Alves, O.; Annis, J.; Brooks, D.; Carretero, J.; Castander, F.  J.; Cawthon, R.; Costanzi, M.; da Costa, L.  N.; Pereira, M.  E. S.; Evrard, A.  E.; Flaugher, B.; Fosalba, P.; Frieman, J.; García-Bellido, J.; Gerdes, D.  W.; Gruen, D.; Gruendl, R.  A.; Gschwend, J.; Gutierrez, G.; Hollowood, D.  L.; Honscheid, K.; James, D.  J.; Kuehn, K.; Lahav, O.; Lee, S.; Marshall, J.  L.; Mena-Fernández, J.; Menanteau, F.; Miquel, R.; Ogando, R.  L. C.; Pereira, M.  E. S.; Pieres, A.; Plazas Malagón, A.  A.; Sanchez, E.; Smith, M.; Suchyta, E.; Swanson, M.  E. C.; Tarle, G.; Weaverdyck, N.; Weller, J.; Wiseman, P.

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1. Univ. of Pennsylvania, Philadelphia, PA (United States); DES Collaboration. et al.

Beyond-two-point statistics contain additional information on cosmological as well as astrophysical and observational (systematics) parameters. In this methodology paper we provide an end-to-end simulationbased analysis of a set of Gaussian and non-Gaussian weak lensing statistics using detailed mock catalogs of the Dark Energy Survey (DES). Here, we implement: 1) second and third moments; 2) wavelet phase harmonics (WPH); 3) the scattering transform (ST). Our analysis is fully based on simulations, it spans a space of seven $νw$CDM cosmological parameters, and it forward models the most relevant sources of systematics of the data (masks, noise variations, clustering of the sources, intrinsic alignments, and shear and redshift calibration). We implement a neural network compression of the summary statistics, and we estimate the parameter posteriors using a likelihood-free-inference approach. We validate the pipeline extensively, and we find that WPH exhibits the strongest performance when combined with second moments, followed by ST, and then by third moments. The combination of all the different statistics further enhances constraints with respect to second moments, up to 25 percent, 15 percent, and 90 percent for S₈, Ω_m, and the figure-of-merit FoM_S8;Ωm , respectively. We further find that non-Gaussian statistics improve constraints on w and on the amplitude of intrinsic alignment with respect to second moments constraints. The methodological advances presented here are suitable for application to Stage IV surveys from Euclid, Rubin-LSST, and Roman with additional validation on mock catalogs for each survey. In a companion paper we present an application to DES Year 3 data.

• Research Organization: Brookhaven National Laboratory (BNL), Upton, NY (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF)
• Contributing Organization: DES Collaboration
• Grant/Contract Number: SC0012704; AC02-07CH11359
• OSTI ID: 2349264
• Alternate ID(s): OSTI ID: 2438786; OSTI ID: 2474406
• Report Number(s): BNL--225600-2024-JAAM
• Journal Information: Physical Review. D., Journal Name: Physical Review. D. Journal Issue: 6 Vol. 109; ISSN 2470-0010
• Publisher: American Physical Society (APS)Copyright Statement
• Country of Publication: United States
• Language: English