1812.07437
Information content of the weak lensing bispectrum for the next generation of galaxy surveys
Rizzato, et al
Present a full analysis of the information content in the joint convergence WL PS-BS accounting for the complexity of modern WL LSS surveys. Developed a high performance code that allows highly parallelized prediction of the binned tomographic observables and their joint non-Gaussian covariance matrix accounting for terms up to the 6pt correlation function and super sample effects. This performance allows several interesting scientific questions to be addressed. Find that the bispectrum provides an improvement in terms of S/N of about 45% on top of the PS, main it a powerful source of information for future surveys. Interestingly, the super sample covariance has a negligible impact on this joint analysis. Furthermore capable to test the impact of theoretical uncertainties in the halo model used to build the observables; with presently allowed variations, conclude that the impact is negligible on the S/N. Finally, consider data compression possibilities to optimize future analyses of the WL bispectrum. Find that, ignoring systematics, 5 equi-populated z bins are enough to recover the information content of a Euclid-like survey, with negligible improvement when increasing to 10 bins. Also explore principal component analysis and dependence on the triangle shapes as ways to reduce the numerical complexity of the problem.
Rizzato, et al
Present a full analysis of the information content in the joint convergence WL PS-BS accounting for the complexity of modern WL LSS surveys. Developed a high performance code that allows highly parallelized prediction of the binned tomographic observables and their joint non-Gaussian covariance matrix accounting for terms up to the 6pt correlation function and super sample effects. This performance allows several interesting scientific questions to be addressed. Find that the bispectrum provides an improvement in terms of S/N of about 45% on top of the PS, main it a powerful source of information for future surveys. Interestingly, the super sample covariance has a negligible impact on this joint analysis. Furthermore capable to test the impact of theoretical uncertainties in the halo model used to build the observables; with presently allowed variations, conclude that the impact is negligible on the S/N. Finally, consider data compression possibilities to optimize future analyses of the WL bispectrum. Find that, ignoring systematics, 5 equi-populated z bins are enough to recover the information content of a Euclid-like survey, with negligible improvement when increasing to 10 bins. Also explore principal component analysis and dependence on the triangle shapes as ways to reduce the numerical complexity of the problem.
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