Impact of Rubin Observatory Cadence Choices on Supernovae Photometric Classification

Impact of Rubin Observatory Cadence Choices on Supernovae Photometric Classification

The Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) will discover an unprecedented number of supernovae (SNe), making spectroscopic classification for all the events infeasible. LSST will thus rely on photometric classification, whose accuracy depends on the not-yet-finalized LSST...

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Bibliographic Details
Main Authors: Catarina S. Alves, Hiranya V. Peiris, Michelle Lochner, Jason D. McEwen, Richard Kessler, The LSST Dark Energy Science Collaboration
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Cosmology
Supernovae
Astronomy software
Open source software
Astronomy data analysis
Light curve classification
Online Access:https://doi.org/10.3847/1538-4365/acbb09

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