Joint photometric cross-calibration and SED modeling in BayeSN yields G26 model with 12% NMAD scatter reduction on DES-SN5YR supernovae at z<0.7.
2022 b , , 938, 111, 10.3847/1538-4357/ac8bcc
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Full-GR simulations find that inhomogeneous curvature produces only sub-dominant systematic offsets in growth-rate measurements from magnitude fluctuations at z ≲ 0.2 relative to current statistical errors.
BayeSN analysis of ZTF Type Ia supernovae confirms a ~0.1 mag intrinsic environmental step in standardized brightness that is not explained by differences in dust extinction properties.
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.
SN peculiar velocities plus Planck CMB data give joint constraints on σ8, γ, and Ωk, with hints of positive curvature (Ωk ≈ -0.01) at 2-3σ and γ values consistent with GR.
Union3 compilation of 2087 SNe Ia with UNITY1.5 framework shows 1.7-2.6 sigma tension with LambdaCDM and possible thawing dark energy.
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Joint Curvature and Growth Rate measurements with Supernova Peculiar Velocities and the CMB
SN peculiar velocities plus Planck CMB data give joint constraints on σ8, γ, and Ωk, with hints of positive curvature (Ωk ≈ -0.01) at 2-3σ and γ values consistent with GR.