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.
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6 Pith papers cite this work, alongside 39 external citations. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
skysurvey provides a Python framework with Target, Survey, and DataSet classes plus modeldag to simulate transient sky observations, demonstrated on Type Ia supernovae populations and ZTF DR2 replication.
Progenitor age is the primary physical driver of the host-mass and host-sSFR magnitude steps in Type Ia supernovae, with the mass step eliminated by direct age correction.
Large sample of SN Ia hosts shows young mean progenitor age of 3.5 Gyr and only 1.5 Gyr evolution, leading to negligible cosmological bias of 0.007 mag.
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.
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.
citing papers explorer
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BayeSN $\times$ Dovekie: Joint Photometric Cross-calibration and SED Modelling of Type Ia Supernovae
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.
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skysurvey: a pure python package to simulate the transient sky
skysurvey provides a Python framework with Target, Survey, and DataSet classes plus modeldag to simulate transient sky observations, demonstrated on Type Ia supernovae populations and ZTF DR2 replication.
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Strong Progenitor Age Bias in Supernova Cosmology. III. Progenitor Age as the Physical Origin of the Type Ia Supernova Magnitude Steps with Host Properties
Progenitor age is the primary physical driver of the host-mass and host-sSFR magnitude steps in Type Ia supernovae, with the mass step eliminated by direct age correction.
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Old Universe, Young SNe Ia: A Statistical Analysis of Type Ia Supernova Progenitor Age from 6,983 TITAN Host Galaxies, and Implications for Cosmology
Large sample of SN Ia hosts shows young mean progenitor age of 3.5 Gyr and only 1.5 Gyr evolution, leading to negligible cosmological bias of 0.007 mag.
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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.