A consistency test of the cosmological model at the epoch of recombination using DESI BAO and Planck measurements
Bibliographic record
Abstract
The value of the Hubble constant determined from CMB and BAO measurements is directly dependent on the sound horizon at the photon-baryon decoupling. There has been significant interest in the possibility of new physics at the epoch around recombination that could reduce the sound horizon and increase the inferred value of $H_0$, thus helping to relieve the Hubble tension. One way to determine if new physics is required would be to measure $H_0$ from BAO and CMB without assuming any model for computing the sound horizon. In this study, we use the recently released DESI Year 1 BAO data combined with the CMB acoustic scale and the Planck $Λ$CDM prior on $Ω_{\rm m} h^2$ to determine $H_0$ while treating the sound horizon at baryon decoupling $r_{\rm d}$ as a free parameter. We find $H_0=69.48 \pm 0.94$ km/s/Mpc, which is $\sim2σ$ larger than $H_0 = 67.44 \pm 0.47$ km/s/Mpc in the Planck-best-fit $Λ$CDM where $r_{\rm d}$ is derived using the standard recombination model. For comparison, we perform the same analysis using the pre-DESI BAO data with the CMB acoustic scale and the same prior on $Ω_{\rm m} h^2$, finding $H_0= 68.05 \pm 0.94$ km/s/Mpc. This difference derives from the notably larger value of the product $r_{\rm d}h$ measured by DESI. We compare results obtained with and without including the Pantheon Plus sample of uncalibrated supernovae magnitudes in our analysis. Future BAO data from DESI will help determine if the cosmological model at the epoch of recombination model requires a modification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".