12 citations · 22 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Measuring the expansion velocities of broad-line Ic supernovae: An investigation of neglected sources of error in two popular methods
Gabriel Finneran, Antonio Martin-Carrillo
The velocities of Ic-BL supernovae can be determined using two techniques (spline fitting and template fitting), sometimes resulting in different velocities for the same event. Thi…
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…
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…