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 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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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.