Research & publications

Opening the faint radio universe with wide-field VLBI, precision calibration, and geodetic infrastructure while sharing results through an open NASA ADS library.

Scientific focus

Jack Radcliffe investigates how faint active galactic nuclei, star-forming galaxies, and transient sources shape galaxy evolution. By combining EVN, e-MERLIN, VLBA, VLA, MeerKAT, and LOFAR observations, he builds panoramic, milli-arcsecond surveys that trace radio emission across cosmic time. His work bridges hardware, software, and science: Jack creates calibration algorithms, pipeline frameworks, and community tools that turn raw interferometric data into reliable, high-resolution catalogues.

Research themes

Wide-field VLBI surveys

Leads flagship programmes such as SWEEPS, EVN-COSMOS, and EMU-VLBI that push VLBI imaging to square-degree scales, measuring AGN demographics at sub-microJy sensitivities.

Calibration innovation

Pioneered multi-source self-calibration (MSSC) and developed the VPIPE workflow to automate distributed correlation, flux recovery, and beam modelling for heterogeneous arrays.

Data-intensive infrastructure

Designs SKA Regional Centre workflows that scale to petabyte-class data, integrating community-driven analysis tools, reproducible pipelines, and training pathways.

Flagship projects as principal investigator

  • 2023 – EMU-VLBI Pilot Survey (LBA, 48 hr): first Southern-hemisphere SKA pathfinder VLBI survey targeting milliarcsecond radio structures.
  • 2022 – A New Window on Radio AGN (e-MERLIN, 400 hr): deep northern-sky campaign combining e-MERLIN, EVN, and LOFAR to map AGN feedback.
  • 2020 – Mapping the EVN Primary Beam (EVN, 12 hr): quantified primary-beam systematics that limit wide-field VLBI surveys.
  • 2017 – MicroJy Variability in GOODS-N (VLA, 10 hr): characterised faint, time-variable radio sources in one of the deepest extragalactic fields.
  • 2016 – EVN-COSMOS & DDT campaigns: rapid-response precision astrometry and beam mapping to enable catalogue-scale VLBI science.

Collaborative science leadership

Jack is a core member of SKA pathfinder collaborations including MIGHTEE, SPARCS, the SKA Extragalactic Continuum Working Group, and the e-MERGE legacy survey. His calibration and pipeline development underpin joint EVN + e-MERLIN surveys, while his role on the African Millimetre Telescope and LOFAR VLBI collaborations expands SKA science across continents.

Recent highlights

  • Synoptic Wide-field EVN–e-MERLIN Public Survey (SWEEPS), MNRAS Letters (2025) — demonstrates how commensal VLBI can deliver milli-arcsecond imaging for SKA pathfinders while strengthening geodetic baselines.
  • Revisiting a flux recovery systematic error..., MNRAS (2023) — quantifies CLEAN-based biases, informing calibration strategies for astronomy and geodesy data products.
  • The radio emission from active galactic nuclei, A&A (2021) — links radio-quiet AGN emission to star formation, reframing feedback models in the faint radio universe.

Publications & resources

Explore the full catalogue of Jack’s refereed articles, technical reports, and GGOS-Africa briefs via the shared NASA ADS library, with selected highlights below.

The radio emission from active galactic nuclei

A&A (2021)
Star-formation dominates the radio emission in radio-quiet AGN, reshaping interpretations of faint sources.

Read on NASA ADS

Revisiting a flux recovery systematic error...

MNRAS (2023)
Measures CLEAN-related flux biases, informing calibration for astronomy imaging and geodetic reference frames.

Read on NASA ADS

Synoptic Wide-field EVN–e-MERLIN Public Survey (SWEEPS)

MNRAS Letters (2025)
First commensal EVN survey showing how VLBI supports SKA science and geodetic precision.

Access via NASA ADS library

Selected refereed papers

In preparation

  • SWEEPS II — distributed software correlation and calibration workflow automating VLBI data processing.
  • The next generation of VLBI surveys — review outlining science drivers for SKA-VLBI integration.
  • Calibrating wide-field VLBI data using VPIPE — documenting end-to-end automation for heterogeneous arrays.

Open NASA ADS library Download CV (PDF)

If the embedded ADS view does not load in your browser, you can open it in a new tab: https://ui.adsabs.harvard.edu/public-libraries/bWezMJEhQ1C27gddJC66HQ.