Re-expressing the Hubble tension via posterior-implied E(z) histories yields moderate mismatches (S_hist of 1.65 and 2.55) that correspond to only 1.1-2.1 sigma equivalents, below the usual 4.9 sigma scalar-H0 discrepancy.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
roles
dataset 1polarities
use dataset 1representative citing papers
Calibration uncertainties during supernova light-curve fitting cause roughly 50% degradation in dark energy figure of merit for Stage IV surveys, dominating over 13% degradation from model training errors and showing near-degeneracy with cosmology.
LightCurveLynx is a flexible forward-modeling tool that produces supernova light-curve simulations matching ZTF observations with low KL divergence and consistent completeness limits.
Union3 compilation of 2087 SNe Ia with UNITY1.5 framework shows 1.7-2.6 sigma tension with LambdaCDM and possible thawing dark energy.
citing papers explorer
-
From Scalar $H_0$ to $E(z)$: A Reformulation of the Hubble Tension
Re-expressing the Hubble tension via posterior-implied E(z) histories yields moderate mismatches (S_hist of 1.65 and 2.55) that correspond to only 1.1-2.1 sigma equivalents, below the usual 4.9 sigma scalar-H0 discrepancy.
-
Calibration-Induced Systematics in SALT3 Training and Their Impact on Dark Energy Constraints from Stage IV Supernova Surveys
Calibration uncertainties during supernova light-curve fitting cause roughly 50% degradation in dark energy figure of merit for Stage IV surveys, dominating over 13% degradation from model training errors and showing near-degeneracy with cosmology.
-
LightCurveLynx: Forward Modeling of Time-Domain Surveys with Application to ZTF SN Ia DR2
LightCurveLynx is a flexible forward-modeling tool that produces supernova light-curve simulations matching ZTF observations with low KL divergence and consistent completeness limits.
-
Union Through UNITY: Cosmology with 2,000 SNe Using a Unified Bayesian Framework
Union3 compilation of 2087 SNe Ia with UNITY1.5 framework shows 1.7-2.6 sigma tension with LambdaCDM and possible thawing dark energy.