Considerations for Optimizing the Photometric Classification of Supernovae from the Rubin Observatory

@article{Alves2022ConsiderationsFO,
  title={Considerations for Optimizing the Photometric Classification of Supernovae from the Rubin Observatory},
  author={Catarina S. Alves and Hiranya V. Peiris and Michelle Lochner and Jason D. McEwen and T. Allam and Rahul Biswas},
  journal={The Astrophysical Journal Supplement Series},
  year={2022},
  volume={258}
}
The Vera C. Rubin Observatory will increase the number of observed supernovae (SNe) by an order of magnitude; however, it is impossible to spectroscopically confirm the class for all SNe discovered. Thus, photometric classification is crucial, but its accuracy depends on the not-yet-finalized observing strategy of Rubin Observatory’s Legacy Survey of Space and Time (LSST). We quantitatively analyze the impact of the LSST observing strategy on SNe classification using simulated multiband light… 
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