Euclid preparation: LXXXV. Toward a DR1 application of higher-order weak lensing statistics
| dc.contributor.author | Bouchè F. | |
| dc.contributor.author | Bouchè F. | |
| dc.contributor.author | Martinet N. | |
| dc.contributor.author | Castiblanco L. | |
| dc.contributor.author | Uhlemann C. | |
| dc.date.accessioned | 2026-06-01T12:41:51Z | |
| dc.date.available | 2026-06-01T12:41:51Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | This is the second paper in the HOWLS (higher-order weak lensing statistics) series exploring the usage of non-Gaussian statistics for cosmology inference within Euclid. With respect to our first paper, we develop a full tomographic analysis based on realistic photometric redshifts that allows us to derive Fisher forecasts in the (8, w0) plane for a Euclid-like data release 1 (DR1) setup. We find that the five higher-order statistics (HOS) that satisfy the Gaussian likelihood assumption of the Fisher formalism (one-point probability distribution function, 1-norm, peak counts, Minkowski functionals, and Betti numbers) each outperform the shear two-point correlation functions by a factor of 2.5 on the w0 forecasts, with only marginal improvement when used in combination with two-point estimators, suggesting that every HOS is able to retrieve both the non-Gaussian and Gaussian information of the matter density field. The similar performance of the different estimators is explained by a homogeneous use of multi-scale and tomographic information, optimized to lower computational costs. These results hold for the three mass mapping techniques of the Euclid pipeline, aperture mass, Kaiser-Squires, and Kaiser-Squires plus, and they are unaffected by the application of realistic star masks. Finally, we explored the use of HOS with the Bernardeau-Nishimichi-Taruya (BNT) nulling scheme approach, finding promising results toward applying physical scale cuts to HOS. | |
| dc.identifier.citation | Vinciguerra, S., Bouchè, F., Martinet, N., Castiblanco, L., Uhlemann, C., Pires, S., Harnois-Déraps, J., Giocoli, C., Baldi, M., Cardone, V.F., Vadalà, A., Dagoneau, N., Linke, L., Sellentin, E., Taylor, P.L., Broxterman, J.C., Heydenreich, S., Tinnaneri Sreekanth, V., Porqueres, N. and Porth, L. (2026). Euclid preparation. Astronomy & Astrophysics, 707, p.A235. https://doi.org/10.1051/0004-6361/202557573. | |
| dc.identifier.uri | https://doi.org/10.1051/0004-6361/202557573 | |
| dc.identifier.uri | https://hdl.handle.net/10566/22962 | |
| dc.language.iso | en | |
| dc.publisher | EDP Sciences | |
| dc.subject | Cosmological Parameters | |
| dc.subject | Dark Matter | |
| dc.subject | Probability Density Function | |
| dc.subject | Gaussian Distribution | |
| dc.subject | Data Release | |
| dc.title | Euclid preparation: LXXXV. Toward a DR1 application of higher-order weak lensing statistics | |
| dc.type | Article |