A simulation-based inference framework that jointly models type Ia supernovae brightness dependences, host galaxy evolution, and cosmology from photometric observations.
D., Sullivan, M., Howell, D
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
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.
JWST TRGB distances to 10 SN Ia hosts update calibrations for 11 SNe yielding H0 of 68.4-69.6 km/s/Mpc and show modest shifts when combined with prior HST data.
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
-
CIGaRS I: Combined simulation-based inference from type Ia supernovae and host photometry
A simulation-based inference framework that jointly models type Ia supernovae brightness dependences, host galaxy evolution, and cosmology from photometric observations.
-
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.
-
The Chicago Carnegie Hubble Program: Improving the Calibration of SNe Ia with JWST Measurements of the Tip of the Red Giant Branch
JWST TRGB distances to 10 SN Ia hosts update calibrations for 11 SNe yielding H0 of 68.4-69.6 km/s/Mpc and show modest shifts when combined with prior HST data.
-
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.