K-mouflage at high $k$: extending the reach of $\texttt{Hi-COLA}$
Ashim Sen Gupta, Bartolomeo Fiorini, Tessa Baker

TL;DR
This paper extends the exttt{Hi-COLA} simulation code to include K-mouflage screening in Horndeski gravity models, enabling detailed non-linear matter power spectrum predictions crucial for testing modified gravity theories with future galaxy surveys.
Contribution
The authors enhance exttt{Hi-COLA} to simulate K-mouflage screening in Horndeski models, allowing for non-linear regime analysis of matter clustering in modified gravity.
Findings
K-mouflage increases matter power spectrum relative to GR-$ exttt{ extLambda}$CDM.
Large-scale structure computations differ between Einstein and Jordan frames.
Dissection of factors influencing the power spectrum boost.
Abstract
The 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 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-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 ) to the boost factor is presented. The ability of to run with general Horndeski models and multiple screening mechanisms makes it an ideal tool for…
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Taxonomy
TopicsAlgorithms and Data Compression
