Modern radio telescopes will generate, on a daily basis, data sets on the scale of exabytes
for systems like the Square Kilometre Array (SKA). Massive data sets are a source of …

This review summarizes popular unsupervised learning methods, and gives an overview of
their past, current, and future uses in astronomy. Unsupervised learning aims to organise the …

For decades, science communities have had digital technology embedded in their everyday
work. However, new research infrastructures are amplifying the presence and use of digital …

We present the Pilot Survey Phase 2 data release for the Wide-field ASKAP L-band Legacy
All-sky Blind surveY (WALLABY), carried-out using the Australian SKA Pathfinder (ASKAP) …

Context. The upcoming Square Kilometer Array (SKA) will set a new standard regarding
data volume generated by an astronomical instrument, which is likely to challenge widely …

In this paper, we extend the Tiered Radio Extragalactic Continuum Simulation (T-RECS) to
include H i emission. The H i T-RECS model is based on the most recent H i mass function …

The detailed feeding and feedback mechanisms of active galactic nuclei (AGNs) are not yet
well known. For low-luminosity AGNs, obscured AGNs, and late-type galaxies, the masses of …

The data volumes generated by theWALLABY atomic Hydrogen (HI) survey using the
Australian Square Kilometre Array Pathfinder (ASKAP) necessitate greater automation and …

Modern machine learning will allow for simulation-based inference from reionizationera
21cm observations at the Square Kilometre Array. Our framework combines a convolutional …

The Square Kilometer Array will initiate a new era of radio astronomy by allowing 3D
imaging of the Universe during Cosmic Dawn and Reionization. Modern machine learning is …