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New constraints on $f(R)$ gravity from clusters of galaxies

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arxiv 1412.0133 v2 pith:TIVZQK2Q submitted 2014-11-29 astro-ph.CO

classification astro-ph.CO
keywords clustersconstraintsdatamassbackgroundclustercosmiccosmological
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The abundance of massive galaxy clusters is a powerful probe of departures from General Relativity (GR) on cosmic scales. Despite current stringent constraints placed by stellar and galactic tests, on larger scales alternative theories of gravity such as $f(R)$ can still work as effective theories. Here we present constraints on two popular models of $f(R)$, Hu-Sawicki and "designer", derived from a fully self-consistent analysis of current samples of X-ray selected clusters and accounting for all the covariances between cosmological and astrophysical parameters. Using cluster number counts in combination with recent data from the cosmic microwave background (CMB) and the CMB lensing potential generated by large scale structures, as well as with other cosmological constraints on the background expansion history and its mean matter density, we obtain the upper bounds $\log_{10}|f_{R0}| < 4.79$ and $\log_{10}B_0 < 3.75$ at the 95.4 per cent confidence level, for the Hu-Sawicki (with $n=1$) and designer models, respectively. The robustness of our results derives from high quality cluster growth data for the most massive clusters known out to redshifts $z \sim 0.5$, a tight control of systematic uncertainties including an accurate and precise mass calibration from weak gravitational lensing data, and the use of the full shape of the halo mass function over the mass range of our data.

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Forward citations

Cited by 4 Pith papers

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

  1. Cluster Mass Inference from Galaxy Kinematics

    astro-ph.CO 2026-06 unverdicted novelty 7.0 of 10

    Simulation-based Deep Sets model with neural posterior estimation halves scatter in cluster mass estimates from galaxy kinematics compared to the M-sigma relation.

  2. 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.

  3. Unveiling $f(R)$ Gravity with Void-Galaxy Cross-Correlation Multipoles

    astro-ph.CO 2026-05 unverdicted novelty 6.0 of 10

    Void-galaxy cross-correlation multipoles exhibit amplified size-dependent deviations from LCDM in f(R) gravity due to the scalaron fifth force and nonlinear shell dynamics, providing a new probe for modified gravity.

  4. Forecast on $f(R)$ Gravity with HI 21cm Intensity Mapping Surveys

    astro-ph.CO 2026-02 conditional novelty 4.0 of 10

    Fisher forecasts show BINGO and SKA1-MID 21-cm intensity mapping, combined with Planck priors, could constrain the f(R) gravity parameter B0 down to ~10⁻⁶–10⁻⁸.

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