Pith. sign in

REVIEW 2 cited by

Starting Cosmological Simulations from the Big Bang

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2309.10865 v2 pith:EXLHFS4X submitted 2023-09-19 astro-ph.CO physics.comp-ph

classification astro-ph.COphysics.comp-ph
keywords simulationsmodelingnumericaltimeagreeapproachastronomicalbang
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

The cosmic large-scale structure (LSS) provides a unique testing ground for connecting fundamental physics to astronomical observations. Modeling the LSS requires numerical $N$-body simulations or perturbative techniques that both come with distinct shortcomings. Here we present the first unified numerical approach, enabled by new time integration and discreteness reduction schemes, and demonstrate its convergence at the field level. In particular, we show that our simulations (1) can be initialized directly at time zero, and (2) can be made to agree with high-order Lagrangian perturbation theory in the fluid limit. This enables fast, self-consistent, and UV-complete forward modeling of LSS observables.

Discussion (0). Sign in to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Generating Moving Field Initial Conditions with Spatially Varying Boost

    physics.comp-ph 2025-06 conditional novelty 7.0 of 10

    A 'spatially varying boost' algorithm assigns arbitrary, position-dependent bulk velocities to field initial data by composing local Lorentz boosts, demonstrated on solitons, Proca fields, and spin-1 wave dark matter.

  2. DISCO-DJ II: a differentiable particle-mesh code for cosmology

    astro-ph.CO 2025-10 conditional novelty 6.0 of 10

    A GPU-accelerated, differentiable particle-mesh N-body code achieves per-cent-level power-spectrum accuracy with few time steps and recovers sigma_8 plus initial conditions from a noisy mock field.

Pith tools