Phantom-divide crossing and suppressed structure growth in kinetically braided dark energy with momentum exchange

arXiv:2607.26447 · astro-ph.CO, gr-qc, hep-ph, hep-th · Submitted 2026-07-29 · Read on arXiv

Masroor C. Pookkillath, Shinji Tsujikawa

astro-ph.CO, gr-qc, hep-ph, hep-th

Submitted: 2026-07-29

Comments: 28 pages, 14 figures, uses revtex

License: http://creativecommons.org/licenses/by/4.0/

The gist: We construct a linearly stable scalar-field model that realizes both an upward crossing of the dark-energy equation of state, from w DE<-1 to w DE>-1, and weakened gravitational clustering in the

Terminology

Abstract

We construct a linearly stable scalar-field model that realizes both an upward crossing of the dark-energy equation of state, from w DE<-1 to w DE>-1, and weakened gravitational clustering in the cold dark matter (CDM) sector. An exponential potential breaks shift symmetry and drives the background from a stable phantom phase toward the nonphantom regime, while a pure momentum-transfer interaction increases the dynamical inertia of CDM without altering its background dilution law. We derive the background and linear perturbation equations and establish the no-ghost and Laplacian-stability conditions. For perturbations deep inside the Hubble radius, where the quasi-static approximation applies, the effective gravitational coupling for CDM can fall below Newton's constant, suppressing late-time growth and small-scale matter power, while the baryonic coupling remains enhanced by Galileon braiding. A modified CLASS calculation, including the scalar-field perturbation and the full Boltzmann hierarchies, reveals signatures of transient braiding around radiation--matter equality. For the representative stable solutions studied here, these signatures include an enhancement of matter power toward the lowest wavenumbers probed numerically and a reduction of CMB temperature power over the multipole range 2 at most at most30. We also find small shifts in the acoustic scale and the position of the first temperature peak. These results motivate a full likelihood analysis of the model.

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