Enhancing cosmic shear with the multiscale lensing probability density function
| العنوان: | Enhancing cosmic shear with the multiscale lensing probability density function |
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| المؤلفون: | Benjamin Giblin, Yan-Chuan Cai, Joachim Harnois-Déraps |
| المصدر: | Monthly Notices of the Royal Astronomical Society. 520:1721-1737 |
| بيانات النشر: | Oxford University Press (OUP), 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Space and Planetary Science, Astronomy and Astrophysics |
| الوصف: | We quantify the cosmological constraining power of the ‘lensing probability density function (PDF)’ – the one-point probability density of weak lensing convergence maps – by modelling this statistic numerically with an emulator trained on w cold dark matter cosmic shear simulations. After validating our methods on Gaussian and lognormal fields, we show that ‘multiscale’ PDFs – measured from maps with multiple levels of smoothing – offer considerable gains over two-point statistics, owing to their ability to extract non-Gaussian information: For a mock Stage-III survey, lensing PDFs yield 33 per cent tighter constraints on the clustering parameter $S_8=\sigma _8\sqrt{\Omega _{\rm m}/0.3}$ than the two-point shear correlation functions. For Stage-IV surveys, we achieve >90 per cent tighter constraints on S8, but also on the Hubble and dark energy equation-of-state parameters. Interestingly, we find improvements when combining these two probes only in our Stage-III set-up; in the Stage-IV scenario the lensing PDFs contain all information from the standard two-point statistics and more. This suggests that while these two probes are currently complementary, the lower noise levels of upcoming surveys will unleash the constraining power of the PDF. |
| تدمد: | 1365-2966 0035-8711 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::6f1625d56cc3303d137fcb2badbeb471 https://doi.org/10.1093/mnras/stad230 |
| حقوق: | EMBARGO |
| رقم الأكسشن: | edsair.doi...........6f1625d56cc3303d137fcb2badbeb471 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13652966 00358711 |
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