81 citations · 107 across the 4 of their papers we have counts for
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MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning
Zafiirah Hosenie, Steven Bloemen, Paul Groot +13
Astronomers require efficient automated detection and classification pipelines when conducting large-scale surveys of the (optical) sky for variable and transient sources. Such pip…
Identifying transient and variable sources in radio images
Antonia Rowlinson, Adam J. Stewart, Jess W. Broderick +16
With the arrival of a number of wide-field snapshot image-plane radio transient surveys, there will be a huge influx of images in the coming years making it impossible to manually…
Fast in-database cross-matching of high-cadence, high-density source lists with an up-to-date sky model
Bart Scheers, Steven Bloemen, Hannes Mühleisen +4
Coming high-cadence wide-field optical telescopes will image hundreds of thousands of sources per minute. Besides inspecting the near real-time data streams for transient and varia…
The LOFAR Transients Pipeline
John D. Swinbank, Tim D. Staley, Gijs J. Molenaar +23
Current and future astronomical survey facilities provide a remarkably rich opportunity for transient astronomy, combining unprecedented fields of view with high sensitivity and th…