Tomographic weak lensing bispectrum: a thorough analysis towards the next generation of galaxy surveys

Understand

We address key points for an efficient implementation of likelihood codes for modern weak lensing large-scale structure surveys.

• Specifically, we focus on the joint weak lensing convergence power spectrum-bispectrum probe and we tackle the numerical challenges required by a realistic analysis.
• Under the assumption of (multivariate) Gaussian likelihoods, we have developed a high performance code that allows highly parallelised prediction of the binned tomographic observables and of their joint non-Gaussian covariance matrix accounting for terms up to the 6-point correlation function and super-sample effects.
• This performance allows us to qualitatively address several interesting scientific questions.