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fkPT: Constraining scale-dependent modified gravity with the full-shape galaxy power spectrum

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arxiv 2312.10510 v2 pith:WPHJ2MJF submitted 2023-12-16 astro-ph.CO gr-qc

classification astro-ph.COgr-qc
keywords powerspectrumgravitymodifiedscale-dependentcodefkptgalaxy
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Modified gravity models with scale-dependent linear growth typically exhibit an enhancement in the power spectrum beyond a certain scale. The conventional methods for extracting cosmological information usually involve inferring modified gravity effects via Redshift Space Distortions (RSD), particularly through the time evolution of $f\sigma_8$. However, classical galaxy RSD clustering analyses encounter difficulties in accurately capturing the spectrum's enhanced power, which is better obtained from the broad-band power spectrum. In this sense, full-shape analyses aim to consider survey data using comprehensive and precise models of the whole power spectrum. Yet, a major challenge in this approach is the slow computation of non-linear loop integrals for scale-dependent modified gravity, precluding the estimation of cosmological parameters using Markov Chain Monte Carlo methods. Based on recent studies, in this work we develop a perturbation theory tailored for Modified Gravity, or analogous scenarios introducing additional scales, such as in the presence of massive neutrinos. Our approach only needs the calculation of the scale-dependent growth rate $f(k,t)$ and the limit of the perturbative kernels at large scales. We called this approximate technique as fk-Perturbation Theory and implemented it into the code fkpt, capable of computing the redshift space galaxy power spectrum in a fraction of a second. We validate our modeling and code with the $f(R)$ theory MG-GLAM and General Relativity NSeries sets of simulations. The code is available at https://github.com/alejandroaviles/fkpt

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Cited by 1 Pith paper

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  1. Disentangling modified gravity and galaxy bias with field-level inference

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

    With fixed known initial phases, voxel-by-voxel Poisson likelihood on the galaxy number-counts field breaks the f(R)–bias degeneracy that power spectra cannot resolve, with voids and walls driving the gain.

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