2.7k citations · 3.3k across the 13 of their papers we have counts for
14 papers
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…
Drone classification from RF fingerprints using deep residual nets
Sanjoy Basak, Sreeraj Rajendran, Sofie Pollin +1
Detecting UAVs is becoming more crucial for various industries such as airports and nuclear power plants for improving surveillance and security measures. Exploiting radio frequenc…
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…
LOFAR MSSS: Detection of a low-frequency radio transient in 400 hrs of monitoring of the North Celestial Pole
A. J. Stewart, R. P. Fender, J. W. Broderick +99
We present the results of a four-month campaign searching for low-frequency radio transients near the North Celestial Pole with the Low-Frequency Array (LOFAR), as part of the Mult…
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…