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The Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration

Baseline reference. 52% of citing Pith papers use this work as a benchmark or comparison.

57 Pith papers citing it
Baseline 52% of classified citations
abstract

We present improved cosmological constraints from a re-analysis of the Dark Energy Survey (DES) 5-year sample of Type Ia supernovae (DES-SN5YR). This re-analysis includes an improved photometric cross-calibration, recent white dwarf observations to cross-calibrate between DES and low redshift surveys, retraining the SALT3 light curve model and fixing a numerical approximation in the host galaxy colour law. Our fully recalibrated sample, which we call DES-Dovekie, comprises $\sim$1600 likely Type Ia SNe from DES and $\sim$200 low-redshift SNe from other surveys. With DES-Dovekie, we obtain $\Omega_{\rm m} = 0.330 \pm 0.015$ in Flat $\Lambda$CDM which changes $\Omega_{\rm m}$ by $-0.022$ compared to DES-SN5YR. Combining DES-Dovekie with CMB data from Planck, ACT and SPT and the DESI DR2 measurements in a Flat $w_0 w_a$CDM cosmology, we find $w_0 = -0.803 \pm 0.054$, $w_a = -0.72 \pm 0.21$. Our results hold a significance of $3.2\sigma$, reduced from $4.2\sigma$ for DES-SN5YR, to reject the null hypothesis that the data are compatible with the cosmological constant. This significance is equivalent to a Bayesian model preference odds of approximately 5:1 in favour of the Flat $w_0 w_a$CDM model. Using generally accepted thresholds for model preference, our updated data exhibits only a weak preference for evolving dark energy.

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2026 55 2025 2

representative citing papers

The colour variability of low-z SNe Ia is entirely explained by dust

astro-ph.CO · 2026-06-04 · unverdicted · novelty 6.0

Bayesian hierarchical modeling of ZTF DR2 and Foundation DR1 datasets shows dust explains all low-z SN Ia color variability after correcting for color-cut selection bias, with no residual intrinsic color term needed.

skysurvey: a pure python package to simulate the transient sky

astro-ph.IM · 2026-05-25 · unverdicted · novelty 6.0

skysurvey provides a Python framework with Target, Survey, and DataSet classes plus modeldag to simulate transient sky observations, demonstrated on Type Ia supernovae populations and ZTF DR2 replication.

Saturation Mechanisms in the Interacting Dark Sector

astro-ph.CO · 2026-04-23 · unverdicted · novelty 6.0

Nonlinear dark-sector interaction models with a half-saturation sparseness scale are observationally preferred over their linear counterparts at >95% confidence for two of three cases.

Constraints on Horndeski Gravity with Phantom Crossing

astro-ph.CO · 2026-06-18 · unverdicted · novelty 5.5

Asymptotic Cubic Galileon models can fit Planck+DESI+DES expansion history with phantom crossing and are tightly constrained by galaxy-ISW and void-force observables.

Late-Time Oscillating Quintessence in Light of DESI

astro-ph.CO · 2026-06-23 · unverdicted · novelty 5.0

A late-onset oscillating quintessence model improves the fit to DESI plus supernova and CMB data by Delta chi squared of about 9 over Lambda CDM, driven by background expansion.

Evolving Dark Energy Is Vacuum Energy After All

astro-ph.CO · 2026-06-18 · conditional · novelty 5.0

A QCD-vacuum dark-energy model with a two-parameter switch reproduces the DESI-preferred late-time expansion and is mildly favoured over ΛCDM by Bayesian evidence (lnB≈2.7).

Reconstructing dark energy with fewer assumptions

astro-ph.CO · 2026-06-04 · unverdicted · novelty 5.0

Bin-wise uncorrelated reconstruction from DESI/SDSS BAO and Pantheon+/Union3.1/DES-Dovekie supernovae yields dark energy density peaking then declining and equation of state oscillating with phantom crossing near z~0.7, consistent across datasets at moderate significance.

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