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astro-ph.IM2026
Pre-training vision models for the classification of alerts from wide-field time-domain surveys
Nabeel Rehemtulla, Adam A. Miller, Mike Walmsley +15
Modern wide-field time-domain surveys facilitate the study of transient, variable and moving phenomena by conducting image differencing and relaying alerts to their communities. Ma…
astro-ph.IM2025
Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure
Alexandra Junell, Argyro Sasli, Felipe Fontinele Nunes +18
Modern time-domain surveys like the Zwicky Transient Facility (ZTF) and the Legacy Survey of Space and Time (LSST) generate hundreds of thousands to millions of alerts, demanding a…
astro-ph.IM2025
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…