24 citations · 30 across the 5 of their papers we have counts for
5 papers
Field-Level Inference of Primordial Non-Gaussianity with the Quijote Simulation Suite
Adam Andrews, Jens Jasche, Guilhem Lavaux +10
Local primordial non-Gaussianity, parameterised as , will be stringently constrained using state-of-the-art methods applied to next-generation galaxy redshi…
Learning the Universe: Tests of a Field Level -body Simulation Emulator
Matthew T. Scoggins, Matthew Ho, Francisco Villaescusa-Navarro +3
We apply and test a field-level emulator for non-linear cosmic structure formation in a volume matching next-generation surveys. Inferring the cosmological parameters and initial c…
Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence
Drew Jamieson, Yin Li, Francisco Villaescusa-Navarro +2
We present a field-level emulator for large-scale structure, capturing the cosmology dependence and the time evolution of cosmic structure formation. The emulator maps linear displ…
Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators
Ludvig Doeser, Drew Jamieson, Stephen Stopyra +3
Analysing next-generation cosmological data requires balancing accurate modeling of non-linear gravitational structure formation and computational demands. We propose a solution by…
Predicting the Initial Conditions of the Universe using a Deterministic Neural Network
Vaibhav Jindal, Albert Liang, Aarti Singh +2
Finding the initial conditions that led to the current state of the universe is challenging because it involves searching over an intractable input space of initial conditions, alo…