Hierarchical Bayesian power-law fits to early ZTF light curves of 972 SNe Ia yield population parameters for rise time, index, and color evolution, revealing a bifurcation with SALT2 stretch.
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UNVERDICTED 3representative citing papers
A hierarchical Bayesian approach with multivariate Gaussian population prior reduces bias in demographic inference of SN Ia power-law rise parameters compared to individual fitting.
GIGA-Lens 2.0 scales strong gravitational lens modeling across up to 128 GPU nodes and demonstrates it on 100 simulated systems plus one real DESI lens.
citing papers explorer
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Decoding the Early-Time Light Curves of Type Ia Supernovae. II. Population Parameters of One Thousand ZTF Supernovae
Hierarchical Bayesian power-law fits to early ZTF light curves of 972 SNe Ia yield population parameters for rise time, index, and color evolution, revealing a bifurcation with SALT2 stretch.
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Decoding the Early-Time Light Curves of Type Ia Supernovae. I. A Hierarchical Bayesian Framework for Demographic Inference
A hierarchical Bayesian approach with multivariate Gaussian population prior reduces bias in demographic inference of SN Ia power-law rise parameters compared to individual fitting.
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GIGA-Lens 2.0: Strong-Lens Modeling on Multiple GPU Nodes
GIGA-Lens 2.0 scales strong gravitational lens modeling across up to 128 GPU nodes and demonstrates it on 100 simulated systems plus one real DESI lens.