Radio survey methods and data products
Imaging, calibration, validation, and interpretation of large radio datasets.
Research
Research
Affiliation
Astrophysics Group, Cavendish Laboratory, University of Cambridge
SKA
LOFAR
UKSRC
Clare Hall
Interactive map
Research interests
Collaborations
Selected directions for collaboration.
Machine learning for astronomical interpretation
Trustworthy methods whose results can be checked, interpreted, and used by scientists in real research workflows.
Research culture and scientific infrastructure
Tools, documentation, data workflows, and collaboration practices that make research easier to share, check, and build on.
Publications
Selected publications
1 arcsecond imaging strategy for LoTSS survey using the International LOFAR Telescope
Built the first large-area 1″ imaging pipeline for the International LOFAR Telescope and produced a 1″ image and catalogue in ELAIS-N1. Later work built deeper high-resolution imaging products from this pipeline and used related data products in high-redshift radio relic science.
High accuracy wide-field imaging method in radio interferometry
Developed an optimised w-stacking kernel for higher-accuracy wide-field imaging with fewer w-planes. The method is integrated into WSClean and is now the default w-stacking kernel used by major low-frequency radio arrays.
Optimal gridding and degridding in radio interferometry imaging
Derived optimal gridding and degridding kernels with analytical error bounds, reducing error by more than two orders of magnitude compared with traditional PSWF kernels for the same support size, with highly consistent error control across the retained area.
Imaging algorithm optimization for scale-out processing
A systematic treatment of scalability strategies for radio imaging algorithms, software engineering, and parallel processing in the SKA era.
Talks