LOFAR-UK 2016-2019: LOFAR-UK Compute Facility

Lead Research Organisation: University of Hertfordshire
Department Name: School of Physics, Astronomy and Maths

Abstract

LOFAR, the LOw-Frequency ARray, is the world's most sensitive radio telescope operating at metre wavelengths. It is now producing extremely sensitive and detailed images of the radio sky at these wavelengths, but the data reduction process is complex. The proposed funding allows us to maintain and expand an existing computing facility for the use of UK astronomers involved in LOFAR.

Planned Impact

See main LOFAR-UK proposal for details.

Publications

10 25 50
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Hoang D (2021) A 3.5 Mpc long radio relic in the galaxy cluster ClG 0217+70 in Astronomy & Astrophysics

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Botteon A (2020) A giant radio bridge connecting two clusters in Abell 1758 in Monthly Notices of the Royal Astronomical Society: Letters

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Burningham B (2016) A LOFAR mini-survey for low-frequency radio emission from the nearest brown dwarfs in Monthly Notices of the Royal Astronomical Society

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Di Gennaro G (2021) A LOFAR-uGMRT spectral index study of distant radio halos in Astronomy & Astrophysics

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Mahatma V (2021) A low-frequency study of linear polarization in radio galaxies in Monthly Notices of the Royal Astronomical Society

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Mahatma V (2023) A low-frequency sub-arcsecond view of powerful radio galaxies in rich-cluster environments: 3C 34 and 3C 320 in Monthly Notices of the Royal Astronomical Society

 
Description The LOFAR-UK compute facility was used by scientists round the UK to process LOFAR individual observations and surveys data. It underpinned the release of LoTSS data release 1, with many tens of papers on active galaxies, clusters, star-forming galaxies being produced as a direct result.
Exploitation Route Astronomers round the world are building on the newly processed data, including the original team.
Sectors Digital/Communication/Information Technologies (including Software),Other

URL https://lofar-surveys.org/
 
Title LOFAR Tier 1 pipeline 
Description A fully automatic LOFAR data reduction pipeline for imaging. 
Type Of Technology Software 
Year Produced 2017 
Open Source License? Yes  
Impact A number of publications have already used this software. 
URL https://github.com/mhardcastle/ddf-pipeline