246 citations · 928 across the 17 of their papers we have counts for
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astro-ph.IM2024★ 1 cited
CCSNscore: A multi-input deep learning tool for classification of core-collapse supernovae using SED-Machine spectra
Yashvi Sharma, Ashish A. Mahabal, Jesper Sollerman +16
Supernovae (SNe) come in various flavors and are classified into different types based on emission and absorption lines in their spectra. SN candidates are now abundant with the ad…
astro-ph.IM2024
How accurate are transient spectral classification tools? -- A study using 4,646 SEDMachine spectra
Young-Lo Kim, Isobel Hook, Andrew Milligan +13
Accurate classification of transients obtained from spectroscopic data are important to understand their nature and discover new classes of astronomical objects. For supernovae (SN…