Pith. sign in

REVIEW 5 cited by

$k$-evolution: a relativistic N-body code for clustering dark energy

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 1910.01104 v3 pith:G56RH5PS submitted 2019-10-02 astro-ph.CO gr-qcphysics.comp-ph

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

We introduce $k$-evolution, a relativistic $N$-body code based on $\textit{gevolution}$, which includes clustering dark energy among its cosmological components. To describe dark energy, we use the effective field theory approach. In particular, we focus on $k$-essence with a speed of sound much smaller than unity but we lay down the basis to extend the code to other dark energy and modified gravity models. We develop the formalism including dark energy non-linearities but, as a first step, we implement the equations in the code after dropping non-linear self-coupling in the $k$-essence field. In this simplified setup, we compare $k$-evolution simulations with those of $\texttt{CLASS}$ and $\textit{gevolution}$ 1.2, showing the effect of dark matter and gravitational non-linearities on the power spectrum of dark matter, of dark energy and of the gravitational potential. Moreover, we compare $k$-evolution to Newtonian $N$-body simulations with back-scaled initial conditions and study how dark energy clustering affects massive halos.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 5 Pith papers

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

  1. gevolution 2.0: GPU-accelerated relativistic N-body simulations for cosmology

    astro-ph.IM 2026-07 conditional novelty 6.0 of 10

    gevolution 2.0 accelerates relativistic N-body cosmological simulations on Nvidia GPUs, achieving a ~4.5x node-hour speed-up over its CPU-only predecessor.

  2. Cosmological gravity on all scales V: MCMC forecasts combining large scale structure and CMB lensing for binned phenomenological modified gravity

    astro-ph.CO 2026-03 unverdicted novelty 6.0 of 10

    Emulation of binned modified gravity power spectra to <1% accuracy enables MCMC forecasts that constrain μ and η via LSST large-scale structure combined with CMB lensing, with best sensitivity along the lensing combination Σ.

  3. Sound Mode and Scale-Dependent Growth in Two-Fluid Dynamical Dark Energy

    astro-ph.CO 2026-03 conditional novelty 6.0 of 10

    DDE sound modes induce scale-dependent growth and halo bias comparable to massless neutrinos; multi-tracer P+B forecasts detect it for c_s^{2} ~ 10^{-2}–10^{-4}, while lower speeds produce ~10% drag on cluster growth-...

  4. Signatures of kinetic gravity braiding in cosmological probes of the gravitational field

    gr-qc 2026-07 accept novelty 5.0 of 10

    KGB braiding boosts weak-lensing power by ~10–12% at ℓ~10²–10³ and flips the ISW–RS difference from suppression to excess once nonlinear Rees–Sciama physics dominates.

  5. Visual Prompt Discovery via Semantic Exploration

    cs.CV 2026-03 unverdicted novelty 5.0 of 10

    SEVEX explores abstract visual-prompt ideas with novelty-guided agent experiments and reports large gains on BlindTest and BLINK over baselines.

Pith tools