K-mouflage at high $k$: extending the reach of $\texttt{Hi-COLA}$
Ashim Sen Gupta, Bartolomeo Fiorini, Tessa Baker
TL;DR
This work extends the Hi-COLA Horndeski simulation framework to include K-mouflage gravity, enabling rapid, non-linear predictions of the matter power spectrum within these models. By formulating K-mouflage in the Jordan frame and detailing the background, linear growth, fifth-force, and conformal-factor contributions, the authors assess how the power-spectrum boost relative to GR-ΛCDM arises and evolves. They find that the modified background and conformal weakening of gravity dominate large-scale clustering, while the conformal factor reduces small-scale boosts, yielding a non-monotonic scale dependence distinct from Vainshtein-screened theories. Convergence tests and parameter-space explorations demonstrate Hi-COLA’s utility for probing K-mouflage with upcoming surveys and for building emulators, while highlighting frame considerations essential for fair cross-frame comparisons.
Abstract
The $\texttt{Hi-COLA}$ code is an efficient dark matter simulation suite that flexibly handles the Horndeski family of modified gravity models. In this work we extend the scope of $\texttt{Hi-COLA}$ to accommodate Horndeski theories with K-mouflage screening, allowing for the computation of matter power spectra in the non-linear regime in these models. We explore the boost of the dark matter power spectrum relative to GR-$Λ$CDM in K-mouflage gravity, and also discuss how large-scale structure computations change between the Einstein and Jordan frames. A dissection of the relative contributions of the modified background, linear growth, fifth force, and the conformal factor (a new inclusion to $\texttt{Hi-COLA}$) to the boost factor is presented. The ability of $\texttt{Hi-COLA}$ to run with general Horndeski models and multiple screening mechanisms makes it an ideal tool for testing gravity with upcoming galaxy survey data.
