MétaCan
Menu
Back to cohort
Record W3084554721 · doi:10.3847/2041-8213/abc6a8

Recombination-independent Determination of the Sound Horizon and the Hubble Constant from BAO

2020· article· en· W3084554721 on OpenAlexaff

Bibliographic record

VenueThe Astrophysical Journal Letters · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsSimon Fraser University
FundersNational Natural Science Foundation of China
KeywordsHubble's lawPlanckBaryon acoustic oscillationsDark energyCosmic microwave backgroundBaryonDecoupling (probability)Galaxy

Abstract

fetched live from OpenAlex

Abstract The Hubble tension and attempts to resolve it by modifying the physics of (or at) recombination motivate finding ways to determine H 0 and the sound horizon at the epoch of baryon decoupling r d in ways that rely neither on a recombination model nor on late-time Hubble data. In this work, we investigate what one can learn from the current and future BAO data when treating r d and H 0 as independent free parameters. It is well known that baryon acoustic oscillations (BAOs) give exquisite constraints on the product r d H 0 . We show here that imposing a moderate prior on Ω m h 2 breaks the degeneracy between r d and H 0 . Using the latest BAO data, including the recently released the extended Baryon Oscillation Spectroscopic Survey Data Release 16, along with a Ω m h 2 prior based on the Planck best-fit Λ cold dark matter (ΛCDM) model, we find r d = 143.7 ± 2.7 Mpc and H 0 = 69.6 ± 1.8 km s −1 Mpc −1 . BAO data prefers somewhat lower r d and higher H 0 than those inferred from Planck data in a ΛCDM model. We find similar values when combing BAO with the Pantheon supernovae, the Dark Energy Survey Year 1 galaxy weak lensing, Planck or SPTPol cosmic microwave background lensing, and the cosmic chronometer data. We perform a forecast for the Dark Energy Spectroscopic Instrument (DESI) and find that, when aided with a moderate prior on Ω m h 2 , DESI will measure r d and H 0 without assuming a recombination model with an accuracy surpassing the current best estimates from Planck.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.265
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations78
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe Astrophysical Journal LettersSame topicPulsars and Gravitational Waves ResearchFrench-language works237,207