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Considerations for optimizing the photometric classification of supernovae from the Rubin observatory
(IOP Publishing, 2022)
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 ...
Designing an optimal LSST deep drilling program for cosmology with type Ia supernovae
(American Astronomical Society, 2023)
The Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) is forecast to collect a large sample of
Type Ia supernovae (SNe Ia) expected to be instrumental in unveiling the nature of dark energy. The feat, ...
Impact of Rubin observatory cadence choices on supernovae photometric classification
(American Astronomical Society, 2023)
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 ...
Impact of Rubin Observatory Cadence Choices on Supernovae Photometric Classification
(The Astrophysical Journal Supplement Series, 2023)
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 ...