4 papers
Local Nonlinear Transforms Effectively Extract Cosmological Information From Large-Scale Structure
Yun Wang, Hao-Ran Yu, Yu Yu +1
Extracting cosmological information from nonlinear and non-Gaussian large-scale structure remains a major challenge. We introduce the (Zel'dovich-inspired) ZI transform, a simple o…
Precision calculation of the EFT likelihood with primordial non-Gaussianities
Ji-Yuan Ke, Yun Wang, Ping He
We perform a precision calculation of the effective field theory (EFT) conditional likelihood for large-scale structure (LSS) using the saddle-point expansion method in the presenc…
Calculating the EFT likelihood via saddle-point expansion
Ji-Yuan Ke, Yun Wang, Ping He
In this paper, we extend the functional approach for calculating the EFT likelihood by applying the saddle-point expansion. We demonstrate that, after suitable reformulation, the l…
Capturing primordial non-Gaussian signatures in the late Universe by multi-scale extrema of the cosmic log-density field
Yun Wang, Ping He
We construct two new summary statistics, the scale-dependent peak height function (scale-PKHF) and the scale-dependent valley depth function (scale-VLYDF) of matter density, and fo…