New MGCAMB tests of gravity with CosmoMC and Cobaya
Abstract
Domain fit: AI-adjacent · Paper appears method- or tooling-adjacent to AI workflows with partial ecosystem coverage.
Abstract We present a new version of MGCAMB, a patch for the Einstein-Boltzmann solver CAMB for cosmological tests of gravity. New features include a new cubic-spline parameterization allowing for a simultaneous reconstruction of μ , Σ and the dark energy density fraction Ω X as functions of redshift, the option to work with a direct implementation of μ , Σ (instead of converting to μ , γ first), along with the option to test models with a scalar field coupled only to dark matter, and the option to include dark energy perturbations when working with w ≠ -1 backgrounds, to restore consistency with CAMB in the GR limit. This version of MGCAMB comes with a Python wrapper to run it directly from the Python interface, an implementation in the latest version of CosmoMC, and can be used with Cobaya.
Results and benchmarks
Abstract We present a new version of MGCAMB, a patch for the Einstein-Boltzmann solver CAMB for cosmological tests of gravity.
Benchmark evidence is limited
Evidence graph: 3 refs, 3 links.
Utility signals: depth 70/100, grounding 75/100, status medium.
Implementation
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Time to first repro: a few days
nikosarcevic/HEP-ASTRO-COSMO is the closest maintained adjacent implementation (Matches contextual method/domain keyword: cosmology). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 156 GitHub stars.
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Reproduction readiness
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Hardware requirements
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Repositories and ecosystem
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- nikosarcevic/HEP-ASTRO-COSMO Adjacent · Confidence: Medium · 156 stars
Matches contextual method/domain keyword: cosmology
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Research context
30
Citations
111
References
Tasks
Dark energy, Dark matter, Redshift, Solver, Cosmology, Physical Sciences
Methods
None detected
Domains
Physics, Astrophysics, Physics and Astronomy, Astronomy and Astrophysics
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