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Enhancing cosmic shear with the multiscale lensing probability density function
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DOI：10.1093/mnras/stad230.png)
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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)root Qm/ 0 . 3 than the two-point shear correlation functions. F or Stage-IV surveys, we achieve > 90 per cent tighter constraints on S-8 , 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.
Keyword:
gravitational lensing
weak - cosmology
observations - cosmological parameters - large-scale structure of Universe
期刊
IF:
4.8
论文数:
7.0W
被引数:
25.0W
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