55 citations · 85 across the 18 of their papers we have counts for
8 papers · 1 filter
Multi-branch classification of diffuse cluster radio emission from the LOFAR two-metre sky survey
Markus Bredberg, Emma Tolley
Context. Galaxy clusters sometimes host synchrotron radiation on scales of approximately 100 kpc to approximately 1 Mpc, with a surface brightness only a few times the image noise.…
Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks
Ashutosh Kumar Mishra, Emma Tolley, Nicolas Cerardi
Generative machine learning models have recently emerged as powerful tools for producing cosmological simulations. However, many existing emulators do not explicitly enforce the un…
Foreground Characterization and Mitigation in the Observations of the CD/EoR with the SKA
Philip Bull, Jacob Burba, Emilio Ceccotti +20
The Square Kilometre Array (SKA), with its unprecedented sensitivity, frequency coverage, and large collecting area, is poised to revolutionize our understanding of the Cosmic Dawn…
Probing the Fundamental Nature of Particle Dark Matter
Marco Regis, Aritra Basu, Geoff Beck +7
Understanding the fundamental nature of dark matter (DM) is one of the most significant scientific challenges of our time. A compelling hypothesis is that DM consists of a new, yet…
Forecasting the occupancy of satellite megaconstellations in SKA observations
Nicolas Cerardi, Emma Tolley, Federico di Vruno
The Square Kilometre Array (SKA) is expected to start science operations in 2030 and by that time there could be up to 10 artificial satellites in Earth's orbit, comprising an…
A targeted machine learning approach for detecting diffuse radio emission with Astronomaly: Protege
Verlon Etsebeth, Michelle Lochner, Konstantinos Kolokythas +2
Diffuse radio emission in galaxy clusters, such as radio halos, relics, and mini halos, is a key tracer of non-thermal processes, turbulence, and magnetic fields within the intra-c…