activity
20182026
most citedNeutron Star Extreme Matter Observatory: A kilohertz-band gravitational-wave detector in the global network

220 citations · 776 across the 21 of their papers we have counts for

collaborators

21 papers

astro-ph.HE2026

The Deeper, Wider, Faster programme's first DECam optical data release

James Freeburn, Jeff Cooke, Anais Möller +17

The transient and variable optical sky is relatively poorly characterised on fast (1hr) timescales. With the Dark Energy Camera (DECam), the Deeper, Wider, Faster programme…

astro-ph.IM2025★ 1 cited

A Machine Learning empowered search for Sub-Minute Optical Transient Events with the Deeper, Wider, Faster programme

Simon R. Goode, Sara A. Webb, Jeff Cooke +12

Optical transient surveys continue to generate increasingly large datasets, prompting the introduction of machine-learning algorithms to search for quality transient candidates eff…

astro-ph.SR2025

First Temperature Profile of a Stellar Flare using Differential Chromatic Refraction

Riley Clarke, Federica Bianco, James R. A. Davenport +5

We present the first derivation of a stellar flare temperature profile from single-band photometry. Stellar flare DWF030225.574-545707.45129 was detected in 2015 by the Dark Energy…

astro-ph.HE2024

GRB220831A: a hostless, intermediate Gamma-ray burst with an unusual optical afterglow

James Freeburn, Brendan O'Connor, Jeff Cooke +20

GRB220831A is a gamma-ray burst (GRB) with a duration and spectral peak energy that places it at the interface between the distribution of long-soft and short-hard GRBs. In thi…

astro-ph.HE2024

A Fast-cadenced Search for Gamma-Ray Burst Orphan Afterglows with the Deeper, Wider, Faster Programme

James Freeburn, Jeff Cooke, Anais Möller +11

The relativistic outflows that produce Long GRBs (LGRBs) can be described by a structured jet model where prompt -ray emission is restricted to a narrow region in the jet's core…

astro-ph.IM2023

An Astronomers Guide to Machine Learning

Sara A. Webb, Simon R. Goode

With the volume and availability of astronomical data growing rapidly, astronomers will soon rely on the use of machine learning algorithms in their daily work. This proceeding aim…