Extending MGCAMB tests of gravity to nonlinear scales
Abstract Modified Growth with CAMB (MGCAMB) is a patch for the Einstein-Boltzmann solver CAMB for cosmological tests of gravity. Until now, MGCAMB was limited to scales well-described by linear perturbation theory. In this work, we extend the framework with a phenomenological model that can capture nonlinear corrections in a broad range of modified gravity theories. The extension employs the publicly available halo model reaction code ReACT, developed for modeling the nonlinear corrections to cosmological observables in extensions of the ΛCDM model. The nonlinear extension makes it possible to use a wider range of data from large scale structure surveys, without applying a linear scale cut. We demonstrate that, with the 3×2pt Dark Energy Survey data, we achieve a stronger constraint on the linear phenomenological functions μ and Σ, after marginalzing over the additional nonlinear parameter p 1 , compared to the case without the nonlinear extension and using a linear cut. The new version of MGCAMB is now forked with CAMB on GitHub allowing for compatibility with future upgrades.
Authors
- Zhuangfei Wang
- Levon Pogosian (ORCID: https://orcid.org/0000-0001-5108-0854)
- Benjamin Bose (ORCID: https://orcid.org/0000-0003-1965-8614)
- Gong‐Bo Zhao (ORCID: https://orcid.org/0000-0003-4726-6714)
- Daniela Saadeh (ORCID: https://orcid.org/0000-0001-7086-4216)
- K. Koyama (ORCID: https://orcid.org/0000-0001-6727-6915)
- Lanyang Yi
Institutions
- Simon Fraser University (CA)
- Chinese Academy of Sciences (CN)
- Beijing Normal University (CN)
- Royal Observatory (GB)
- National Astronomical Observatories (CN)
- University of Chinese Academy of Sciences (CN)
- UK Astronomy Technology Centre (GB)
- University of Portsmouth (GB)
Publication Details
- Journal
- Journal of Cosmology and Astroparticle Physics
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1088/1475-7516/2024/11/003
- Citations
- 4
- Primary Topic
- Cosmology and Gravitation Theories
- Type
- article
- Field-Weighted Citation Impact
- 1.33
Funders
- UK Research and Innovation
- National Natural Science Foundation of China
- Natural Sciences and Engineering Research Council of Canada
- Science and Technology Facilities Council