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Stage-IV Cosmic Shear with Modified Gravity and Model-independent Screening

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arxiv 2404.11508 v1 pith:5SCLPZ5P submitted 2024-04-17 astro-ph.CO hep-th

classification astro-ph.COhep-th
keywords screeningcosmicshearstage-ivbaryonicdataeffectsfind
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We forecast constraints on minimal model-independent parametrisations of several Modified Gravity theories using mock Stage-IV cosmic shear data. We include nonlinear effects and screening, which ensures recovery of General Relativity on small scales. We introduce a power spectrum emulator to accelerate our analysis and evaluate the robustness of the growth index parametrisation with respect to two cosmologies: $\Lambda$CDM and the normal branch of the DGP model. We forecast the uncertainties on the growth index $\gamma$ to be of the order $\sim 10\%$. We find that our halo-model based screening approach demonstrates excellent performance, meeting the precision requirements of Stage-IV surveys. However, neglecting the screening transition results in biased predictions for cosmological parameters. We find that the screening transition shows significant degeneracy with baryonic feedback, requiring a much better understanding of baryonic physics for its detection. Massive neutrinos effects are less prominent and challenging to detect solely with cosmic shear data.

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Forward citations

Cited by 3 Pith papers

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

  1. KiDS-1000: Improved constraints on cosmology, intrinsic alignments and baryonic feedback from clipped cosmic shear

    astro-ph.CO 2026-08 conditional novelty 7.0 of 10

    Combining clipped and standard shear correlation functions from KiDS-1000 tightens S8 by 16% and w0 by 24%, yielding S8=0.724±0.027 and w0=-1.24+0.26-0.28, consistent with ΛCDM.

  2. Emulating the nonlinear effects of modified gravity on the matter power spectrum for reconstruction

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

    A neural-network emulator predicts the ratio of nonlinear to linear modified-gravity matter power spectra across a 28-dimensional cosmological and MG parameter space, matching MGCAMB+ReACT to roughly 1–2%.

  3. Cosmological gravity on all scales V: MCMC forecasts combining large scale structure and CMB lensing for binned phenomenological modified gravity

    astro-ph.CO 2026-03 unverdicted novelty 6.0 of 10

    Emulation of binned modified gravity power spectra to <1% accuracy enables MCMC forecasts that constrain μ and η via LSST large-scale structure combined with CMB lensing, with best sensitivity along the lensing combination Σ.

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