How robust is the preference for dynamical dark energy? A pre-registered specification-curve analysis of DESI DR2 BAO, CMB and Type Ia supernovae

DESI DR2 BAO combined with CMB and Type Ia supernova data prefers a time-evolving dark-energy equation of state (w0wa) over a cosmological constant, at 2.8-4.2 sigma depending on the supernova sample. We pre-register a specification-curve analysis that computes this preference on a single public pipeline (Cobaya + CAMB) over the full set of reasonable analysis choices: supernova sample (Pantheon+, Union3, DES-SN5YR, DES-Dovekie), low-redshift calibration offsets, redshift cuts, removal of single BAO tracers, CMB lensing choices, dark-energy parametrisation (CPL, non-phantom, JBP, binned w), spatial curvature, neutrino mass, lensing amplitude and priors. The note fixes the specification grid, the metrics (profile Delta chi2 and equivalent sigma, Savage-Dickey Bayes factors, AIC/BIC, parameter shifts, Omega_m tension) and explicit decision rules ("robust", "fragile", "inconclusive") before the grid is run. At deposit time only the baseline reproduction had been computed: CMB+DESI 2.8 sigma, +Pantheon+ 2.5, +Union3 3.6, +DES-SN5YR 4.0, +DES-Dovekie 3.1 sigma (first-pass minimisation, 0.2-0.3 sigma below the published DESI values; a refinement stage is specified). The record includes the code, data checksums and the compressed CMB prior derived from our Planck PR4 + ACT DR6 lensing chain. The analysis was carried out with the assistance of an AI model (Claude, Anthropic); see the section "Author contributions and use of AI" in the note.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-04
DOI
https://doi.org/10.5281/zenodo.23965610
Primary Topic
Cosmology and Gravitation Theories
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

How robust is the preference for dynamical dark energy? A pre-registered specification-curve analysis of DESI DR2 BAO, CMB and Type Ia supernovae

Antonio Acri
Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
preprint

How robust is the preference for dynamical dark energy? A pre-registered specification-curve analysis of DESI DR2 BAO, CMB and Type Ia supernovae

Antonio Acri
preprint en

Abstract

DESI DR2 BAO combined with CMB and Type Ia supernova data prefers a time-evolving dark-energy equation of state (w0wa) over a cosmological constant, at 2.8-4.2 sigma depending on the supernova sample. We pre-register a specification-curve analysis that computes this preference on a single public pipeline (Cobaya + CAMB) over the full set of reasonable analysis choices: supernova sample (Pantheon+, Union3, DES-SN5YR, DES-Dovekie), low-redshift calibration offsets, redshift cuts, removal of single BAO tracers, CMB lensing choices, dark-energy parametrisation (CPL, non-phantom, JBP, binned w), spatial curvature, neutrino mass, lensing amplitude and priors. The note fixes the specification grid, the metrics (profile Delta chi2 and equivalent sigma, Savage-Dickey Bayes factors, AIC/BIC, parameter shifts, Omega_m tension) and explicit decision rules ("robust", "fragile", "inconclusive") before the grid is run. At deposit time only the baseline reproduction had been computed: CMB+DESI 2.8 sigma, +Pantheon+ 2.5, +Union3 3.6, +DES-SN5YR 4.0, +DES-Dovekie 3.1 sigma (first-pass minimisation, 0.2-0.3 sigma below the published DESI values; a refinement stage is specified). The record includes the code, data checksums and the compressed CMB prior derived from our Planck PR4 + ACT DR6 lensing chain. The analysis was carried out with the assistance of an AI model (Claude, Anthropic); see the section "Author contributions and use of AI" in the note.

Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
How robust is the preference for dynamical dark energy? A pre-registered specification-curve analysis of DESI DR2 BAO, CMB and Type Ia supernovae — Antonio Acri · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS