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
Cassano R
(2023)
The Planck clusters in the LOFAR sky IV. LoTSS-DR2: Statistics of radio haloes and re-acceleration models
in Astronomy & Astrophysics
Cassano R
(2019)
LOFAR Discovery of a Radio Halo in the High-redshift Galaxy Cluster PSZ2 G099.86+58.45
in The Astrophysical Journal Letters
Croston J
(2018)
Particle content, radio-galaxy morphology, and jet power: all radio-loud AGN are not equal
in Monthly Notices of the Royal Astronomical Society
Croston J
(2019)
The environments of radio-loud AGN from the LOFAR Two-Metre Sky Survey (LoTSS)
in Astronomy & Astrophysics
Cuciti V
(2022)
Galaxy clusters enveloped by vast volumes of relativistic electrons.
in Nature
Dabhade P
(2020)
Giant radio galaxies in the LOFAR Two-metre Sky Survey I. Radio and environmental properties
in Astronomy & Astrophysics
Dabhade P
(2022)
Barbell-shaped giant radio galaxy with ~100 kpc kink in the jet
in Astronomy & Astrophysics
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 |