Constraining the SN Ia host galaxy dust law distribution and mass Step: Hierarchical BayeSN analysis of optical and near-infrared light curves

@article{Thorp2022ConstrainingTS,
  title={Constraining the SN Ia host galaxy dust law distribution and mass Step: Hierarchical BayeSN analysis of optical and near-infrared light curves},
  author={Stephen Thorp and Kaisey S. Mandel},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2022}
}
  • S. ThorpK. Mandel
  • Published 21 September 2022
  • Physics
  • Monthly Notices of the Royal Astronomical Society
We use the BayeSN hierarchical probabilistic SED model to analyse the optical–NIR (BVriYJH) light curves of 86 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project to investigate the SN Ia host galaxy dust law distribution and correlations between SN Ia Hubble residuals and host mass. Our Bayesian analysis simultaneously constrains the mass step and dust RV population distribution by leveraging optical–NIR colour information. We demonstrate how a simplistic analysis where… 

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