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
Maschmann D
(2022)
Central star formation in double-peak, gas-rich radio galaxies
in Astronomy & Astrophysics
Maschmann D
(2021)
Central star formation in double-peak gas rich radio galaxies
Marecki A
(2021)
Multifrequency study of a double-double radio galaxy J0028+0035
in Monthly Notices of the Royal Astronomical Society
Mandal S
(2020)
Revived fossil plasma sources in galaxy clusters
in Astronomy & Astrophysics
Mahatma V. H.
(2018)
Remnant radio-loud AGN in the Herschel-ATLAS field
in Monthly Notices of the Royal Astronomical Society
Mahatma V
(2018)
Remnant radio-loud AGN in the Herschel-ATLAS field
in Monthly Notices of the Royal Astronomical Society
Mahatma V
(2021)
A low-frequency study of linear polarization in radio galaxies
in Monthly Notices of the Royal Astronomical Society
Mahatma V
(2020)
A low frequency study of linear polarization in radio galaxies
Mahatma V
(2019)
LoTSS DR1: Double-double radio galaxies in the HETDEX field
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 |