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From the 1 of 76 linked papers with an AI index.

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20242026
most citedEruptive mass loss less than a year before the explosion of superluminous supernovae. II. A systematic search for pre-explosion eruptions with VLT/X-shooter

1 citations · 2 across the 24 of their papers we have counts for

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astro-ph.IM2026

NOMAI : A real-time photometric classifier for superluminous supernovae identification. A science module for the Fink broker

E. Russeil, R. Lunnan, J. Peloton +10

Superluminous supernovae (SLSNe) are one of the most luminous stellar explosions known, yet they remain poorly understood. Because they are intrinsically rare, efficiently identify…

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

Euclid Quick Data Release (Q1): VIS processing and data products

Euclid Collaboration, H. J. McCracken, K. Benson +377

This paper describes the VIS Processing Function (VIS PF) of the Euclid ground segment pipeline, which processes and calibrates raw data from the VIS camera. We present the algorit…

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…

astro-ph.IM2025

Euclid. II. The VIS Instrument

Euclid Collaboration, M. S. Cropper, A. Al-Bahlawan +432

This paper presents the specification, design, and development of the Visible Camera (VIS) on the ESA Euclid mission. VIS is a large optical-band imager with a field of view of 0.5…