The progenitor-age bias correction for SN Ia cosmology is robust to host-progenitor age mapping uncertainties from different delay-time distributions, leaving the redshift-dependent magnitude correction and cosmological impact largely unchanged.
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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.
citing papers explorer
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Still non-accelerating: age-bias correction in supernova cosmology is robust to host-progenitor age mapping
The progenitor-age bias correction for SN Ia cosmology is robust to host-progenitor age mapping uncertainties from different delay-time distributions, leaving the redshift-dependent magnitude correction and cosmological impact largely unchanged.
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On the origin of the environmental step: A BayeSN view of the ZTF SN Ia DR2
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.
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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.