A low-redshift preference for an interacting dark energy model
Bibliographic record
Abstract
Abstract We explore an interacting dark sector model in trace-free Einstein gravity where dark energy has a constant equation of state, w = -1, and the energy-momentum transfer potential is proportional to the cold dark matter density. Compared to the standard ΛCDM model, this scenario introduces a single additional dimensionless parameter, ϵ , which determines the amplitude of the transfer potential. Using a combination of Planck 2018 Cosmic Microwave Background (CMB), DESI 2024 Baryon Acoustic Oscillation (BAO), and Pantheon+ Type Ia supernovae (SNIa) data, we derive stringent constraints on the interaction, finding ϵ to be of the order of ∼𝒪(10 -4 ). While CMB and SNIa data alone do not favor the presence of such an interaction, the inclusion of DESI data introduces a mild 1 σ preference for an energy-momentum transfer from dark matter to dark energy. This preference is primarily driven by DESI BAO measurements below redshift 1.4, which favor a slightly lower total matter density Ω m compared to CMB constraints. Although the interaction remains weak and does not significantly alleviate the H 0 and S 8 tensions, our results highlight the potential role of dark sector interactions in late-time cosmology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".