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.
Organisations
Publications
Di Gennaro G
(2021)
A LOFAR-uGMRT spectral index study of distant radio halos
Webster B
(2021)
A population of galaxy-scale jets discovered using LOFAR
in Monthly Notices of the Royal Astronomical Society
Hoang D
(2021)
A 3.5 Mpc long radio relic in the galaxy cluster ClG 0217+70
in Astronomy & Astrophysics
Hoang D
(2021)
LOFAR detection of a low-power radio halo in the galaxy cluster Abell 990
in Monthly Notices of the Royal Astronomical Society
Smith D
(2021)
The LOFAR Two-metre Sky Survey Deep Fields The star-formation rate-radio luminosity relation at low frequencies
in Astronomy & Astrophysics
De Gasperin F
(2021)
The LOFAR LBA Sky Survey I. Survey description and preliminary data release
in Astronomy & Astrophysics
Roberts I
(2021)
LoTSS jellyfish galaxies I. Radio tails in low redshift clusters
in Astronomy & Astrophysics
Brienza M
(2021)
A snapshot of the oldest active galactic nuclei feedback phases
in Nature Astronomy
Roy N
(2021)
Radio Morphology of Red Geysers
in The Astrophysical Journal
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 |