8 citations · 15 across the 5 of their papers we have counts for
5 papers
Uncertainty-Aware Tidal Disruption Event Classification : A Host-Agnostic Probabilistic Random Forest Approach
Vysakh Anilkumar, Sjoert van Velzen, Marek Kowalski +1
The classification of Tidal Disruption Events in large-scale photometric surveys is challenging because deterministic machine learning models produce overconfident misclassificatio…
SN 2023uqf: An Interacting Supernova Coincident with a High-Energy Neutrino
Robert Stein, Anna Y. Q. Ho, Anjasha Gangopadhyay +30
Astrophysical high-energy (TeV-PeV) neutrinos were first discovered in 2013, but their origin remains largely unknown. Here we present SN 2023uqf, a supernova found in coincidence…
A real-time search for Type Ia Supernovae with late-time CSM interaction in ZTF
Jacco H. Terwel, Kate Maguire, Seán J. Brennan +20
The nature of Type Ia supernova (SN Ia) progenitor systems and the mechanisms that lead up to their explosions are still widely debated. In rare cases the SN ejecta interact with c…
Early-time spectroscopic modelling of the transitional Type Ia Supernova 2021rhu with TARDIS
Luke Harvey, Kate Maguire, Mark R. Magee +15
An open question in SN Ia research is where the boundary lies between 'normal' Type Ia supernovae (SNe Ia) that are used in cosmological measurements and those that sit off the Phi…
SNGuess: A method for the selection of young extragalactic transients
N. Miranda, J. C. Freytag, J. Nordin +7
With a rapidly rising number of transients detected in astronomy, classification methods based on machine learning are increasingly being employed. Their goals are typically to obt…