Euclid preparation: LXXXV. Toward a DR1 application of higher-order weak lensing statistics
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| dc.contributor.author | Paoletti, D. | |
| dc.contributor.author | Passalacqua, F. | |
| dc.contributor.author | Paterson, K. | |
| dc.contributor.author | Patrizii, L. | |
| dc.contributor.author | Pisani, A. | |
| dc.contributor.author | Potter, D. | |
| dc.contributor.author | Quai, S. | |
| dc.contributor.author | Radovich, M. | |
| dc.contributor.author | Sacquegna, S. | |
| dc.contributor.author | Sahlén, M. | |
| dc.contributor.author | Sanders, D. B. | |
| dc.contributor.author | Sarpa, E. | |
| dc.contributor.author | Schneider, A. | |
| dc.contributor.author | Sciotti, D. | |
| dc.contributor.author | Smith, L. C. | |
| dc.contributor.author | Tanidis, K. | |
| dc.contributor.author | Tao, C. | |
| dc.contributor.author | Testera, G. | |
| dc.contributor.author | Teyssier, R. | |
| dc.contributor.author | Tosi, S. | |
| dc.contributor.author | Troja, A. | |
| dc.contributor.author | Tucci, M. | |
| dc.contributor.author | Vergani, D. | |
| dc.contributor.author | Verza, G. | |
| dc.contributor.author | Walton, N. A. | |
| dc.contributor.author | Euclid Collaboration | |
| dc.contributor.organization | fi=Tuorlan observatorio|en=Tuorla Observatory| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.90670098848 | |
| dc.converis.publication-id | 523435968 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/523435968 | |
| dc.date.accessioned | 2026-05-19T20:11:03Z | |
| 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.eissn | 1432-0746 | |
| dc.identifier.jour-issn | 0004-6361 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/60889 | |
| dc.identifier.url | https://doi.org/10.1051/0004-6361/202557573 | |
| dc.identifier.urn | URN:NBN:fi-fe2026051949720 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Kajava, Jari | |
| dc.okm.discipline | 115 Astronomy and space science | en_GB |
| dc.okm.discipline | 115 Avaruustieteet ja tähtitiede | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | EDP Sciences | |
| dc.publisher.country | France | en_GB |
| dc.publisher.country | Ranska | fi_FI |
| dc.publisher.country-code | FR | |
| dc.relation.articlenumber | A235 | |
| dc.relation.doi | 10.1051/0004-6361/202557573 | |
| dc.relation.ispartofjournal | Astronomy and Astrophysics | |
| dc.relation.volume | 707 | |
| dc.title | Euclid preparation: LXXXV. Toward a DR1 application of higher-order weak lensing statistics | |
| dc.year.issued | 2026 |
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