150 citations · 196 across the 32 of their papers we have counts for
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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…
Dramatic rebrightening of the type-changing stripped-envelope supernova SN 2023aew
Yashvi Sharma, Jesper Sollerman, Shrinivas R. Kulkarni +32
Multi-peaked supernovae with precursors, dramatic light-curve rebrightenings, and spectral transformation are rare, but are being discovered in increasing numbers by modern night-s…
The Zwicky Transient Facility Bright Transient Survey. III. : Automated Identification and Follow-up of Bright Transients with Deep Learning
Nabeel Rehemtulla, Adam A. Miller, Theophile Jegou Du Laz +10
The Bright Transient Survey (BTS) aims to obtain a classification spectrum for all bright (mag) extragalactic transients found in the Zwicky Transien…