938 citations
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7 papers · 1 filter
The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression
Tarek Allam, Julien Peloton, Jason D. McEwen
A new golden age in astronomy is upon us, dominated by data. Large astronomical surveys are broadcasting unprecedented rates of information, demanding machine learning as a critica…
Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain Deep Learning
H. Tang, A. M. M. Scaife, O. I. Wong +1
In this work, we explore the potential of multi-domain multi-branch convolutional neural networks (CNNs) for identifying comparatively rare giant radio galaxies from large volumes…
Structured Variational Inference for Simulating Populations of Radio Galaxies
David J. Bastien, Anna M. M. Scaife, Hongming Tang +2
We present a model for generating postage stamp images of synthetic Fanaroff-Riley Class I and Class II radio galaxies suitable for use in simulations of future radio surveys such…
Fanaroff-Riley classification of radio galaxies using group-equivariant convolutional neural networks
Anna M. M. Scaife, Fiona Porter
Weight sharing in convolutional neural networks (CNNs) ensures that their feature maps will be translation-equivariant. However, although conventional convolutions are equivariant…
Gaussian Process Modelling for Improved Resolution in Faraday Depth Reconstruction
S. W. Ndiritu, A. M. M. Scaife, D. L. Tabb +2
The incomplete sampling of data in complex polarization measurements from radio telescopes negatively affects both the rotation measure (RM) transfer function and the Faraday depth…
Magritte, a modern software library for 3D radiative transfer: II. Adaptive ray-tracing, mesh construction and reduction
Frederik De Ceuster, Jan Bolte, Ward Homan +6
Radiative transfer is a notoriously difficult and computationally demanding problem. Yet, it is an indispensable ingredient in nearly all astrophysical and cosmological simulations…