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Supernova data alone now require cosmic acceleration at over 5 sigma in flat LambdaCDM.
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Claims
C1strongest claim
Supernova data alone now require acceleration (q0<0 in LambdaCDM) with over 5 sigma confidence.
C2weakest assumption
The machine-learning light-curve classifier accurately separates Type Ia supernovae from contaminants with negligible bias after the reported quality cuts and likelihood weighting.
C3one line summary
DES supernova data alone give Omega_M = 0.352 +/- 0.017 in flat LambdaCDM and confirm acceleration at >5 sigma, with dark energy consistent with a cosmological constant to within ~2 sigma when combined with other probes.
References
113 extracted · 113 resolved · 3 Pith anchors
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