3 papers
astro-ph.HE2026
Machine learning for the early classification of broad-lined Ic supernovae
Laura Cotter, Antonio Martin-Carrillo, Joseph Fisher +3
Science is currently at an age where there is more data than we know how to deal with. Machine learning (ML) is an emerging tool that is useful for drawing valuable science out of…
astro-ph.HE2025
Velocity evolution of broad-lined type-Ic supernovae with and without gamma-ray bursts
Gabriel Finneran, Laura Cotter, Antonio Martin-Carrillo
More than 60 broad-lined type Ic (Ic-BL) supernovae (SNe) are associated with a long gamma-ray burst (GRB). However, many type Ic-BL SNe exhibit no sign of an associated GRB. On av…
astro-ph.HE2025
The GRBSN webtool: An open-source repository for gamma-ray burst-supernova associations
Gabriel Finneran, Laura Cotter, Antonio Martin-Carrillo
This paper presents the GRBSN webtool, an open-source data repository coupled to a web interface that hosts the most complete dataset of GRB-SN associations to date. In contrast to…