We produce the world’s largest cosmological N-body simulation, a flagship run of 35 trillion particles designed to model the large-scale structure targeted by the next generation of observational surveys. Such simulations serve as a key component of cosmological analyses, connecting underlying theory to the complexity of late-time clustering, estimating statistical and systematic errors, and enabling the design of novel statistics. Building on the past AbacusSummit suite, the AbacusAurora project leverages the speed and accuracy of the Abacus code along with extensive experience in generating feature-rich, widely used data products.

These new simulations deploy a novel framework for assigning mock galaxies, addressing key shortcomings in previous modeling efforts. The resulting merger trees provide valuable tools for modeling clustering bias and assembly bias across diverse galaxy populations. This flagship simulation spans the vast volumes probed by modern surveys while maintaining sufficient mass resolution to track smaller galaxies that sharpen measurements of large-scale structure. The project provides outputs in both time slices and along light cones to facilitate direct connections to observational modeling. A companion suite of 200 smaller simulations explores the dependence of results on cosmological parameters. Through AbacusAurora, the team delivers a foundational simulation resource for a broad range of studies of dark energy, dark matter, and cosmology.