Monthly Notices of the Royal Astronomical Society· 2026Q1
Dark Energy Constraints and Joint Cosmological Inference from Mutually Inconsistent Observations
- 4citations
- Q1SCImago
- 2026year
Short summary
Joint inference on mutually inconsistent cosmological observations can lead to underestimated error margins and high prior dependency, but current data does not yet warrant rejecting the standard ΛCDM model.
AI-generated from the title and abstract; the full text is not read.
Key points
- Joint inference on inconsistent cosmological data can yield underestimated error margins.
- Analysis results are highly sensitive to prior assumptions and boundary constraints.
- Inconsistencies may stem from observational errors, statistical methods, or model inadequacy.
- Current data does not provide sufficient grounds to reject the standard ΛCDM cosmological model.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Recent results regarding dark energy are mutually inconsistent under the ΛCDM cosmological model, hinting at the possibility of undiscovered physics. However, the currently accepted cosmological parameters come from a joint inference between observational data sets, a process that is formally invalid for inconsistent observations. We will show that many problems can arise when using joint inference on disagreeing observations such as significantly underestimated margins of error, high dependencies on priors, and sensitivities to boundary constraints. Because we do not know if these inconsistencies arise due to errors in observation, poor statistical techniques, or an improper model, it is difficult to fix these problems. Each scenario in which the analysis method breaks is discussed alternative resampling techniques are explored, demonstrating that ΛCDM should not yet be rejected based on current data.
The authors' abstract, as published at the source. Monthly Notices of the Royal Astronomical Society, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Astronomy and Astrophysics
Astronomy and AstrophysicsPhysics and Astronomy