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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12 Pith papers cite this work, alongside 171 external citations. Polarity classification is still indexing.
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SN 2025ogs is a spectroscopically normal Type Ia supernova at z=2.05 whose luminosity distance and properties are consistent with low-z standards and current LambdaCDM constraints.
A simulation-based inference framework that jointly models type Ia supernovae brightness dependences, host galaxy evolution, and cosmology from photometric observations.
Bayesian hierarchical modeling of ZTF DR2 and Foundation DR1 datasets shows dust explains all low-z SN Ia color variability after correcting for color-cut selection bias, with no residual intrinsic color term needed.
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.
Pantheon+ delivers tighter SN Ia constraints on Ω_M, w0, wa, and H0 from 1550 events, consistent with a cosmological constant, with SN systematics contributing less than one third to H0 uncertainty.
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.
Pantheon+ releases 1701 light curves from 1550 spectroscopically confirmed Type Ia supernovae across 18 surveys for cosmological inference.
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
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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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SN 2025ogs: A Spectroscopically-Normal Type Ia Supernova at z = 2 as a Benchmark for Redshift Evolution
SN 2025ogs is a spectroscopically normal Type Ia supernova at z=2.05 whose luminosity distance and properties are consistent with low-z standards and current LambdaCDM constraints.
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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.
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The colour variability of low-z SNe Ia is entirely explained by dust
Bayesian hierarchical modeling of ZTF DR2 and Foundation DR1 datasets shows dust explains all low-z SN Ia color variability after correcting for color-cut selection bias, with no residual intrinsic color term needed.
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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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The Pantheon+ Analysis: Cosmological Constraints
Pantheon+ delivers tighter SN Ia constraints on Ω_M, w0, wa, and H0 from 1550 events, consistent with a cosmological constant, with SN systematics contributing less than one third to H0 uncertainty.
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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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The Pantheon+ Analysis: The Full Dataset and Light-Curve Release
Pantheon+ releases 1701 light curves from 1550 spectroscopically confirmed Type Ia supernovae across 18 surveys for cosmological inference.
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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.