activity
20172022
most citedA kilonova as the electromagnetic counterpart to a gravitational-wave source

888 citations · 1.9k across the 8 of their papers we have counts for

collaborators

25 papers

astro-ph.HE202214 cited

The detection efficiency of type Ia supernovae from the Zwicky Transient Facility: Limits on the intrinsic rate of early flux excesses

M. R. Magee, C. Cuddy, K. Maguire +8

Samples of young type Ia supernovae have shown `early excess' emission in a few cases. Similar excesses are predicted by some explosion and progenitor scenarios and hence can provi…

astro-ph.HE2021

PISCOLA: a data-driven transient light-curve fitter

Tomás E. Müller-Bravo, Mark Sullivan, Mathew Smith +4

Forthcoming time-domain surveys, such as the Rubin Observatory Legacy Survey of Space and Time, will vastly increase samples of supernovae (SNe) and other optical transients, requi…

astro-ph.GA2021

Rates and delay times of type Ia supernovae in the Dark Energy Survey

P. Wiseman, M. Sullivan, M. Smith +87

We use a sample of 809 photometrically classified type Ia supernovae (SNe Ia) discovered by the Dark Energy Survey (DES) along with 40415 field galaxies to calculate the rate of SN…

astro-ph.HE202131 cited

The double-peaked type Ic Supernova 2019cad: another SN 2005bf-like object

C. P. Gutiérrez, M. C. Bersten, M. Orellana +23

We present the photometric and spectroscopic evolution of supernova (SN) 2019cad during the first days from explosion. Based on the light curve morphology, we find that S…

astro-ph.CO2020

The Dark Energy Survey Supernova Program: Modelling selection efficiency and observed core collapse supernova contamination

M. Vincenzi, M. Sullivan, O. Graur +79

The analysis of current and future cosmological surveys of type Ia supernovae (SNe Ia) at high-redshift depends on the accurate photometric classification of the SN events detected…

astro-ph.IM2020

Optimising a magnitude-limited spectroscopic training sample for photometric classification of supernovae

Jonathan E. Carrick, Isobel M. Hook, Elizabeth Swann +4

In preparation for photometric classification of transients from the Legacy Survey of Space and Time (LSST) we run tests with different training data sets. Using estimates of the d…