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
Callingham J
(2023)
V-LoTSS: The circularly polarised LOFAR Two-metre Sky Survey
in Astronomy & Astrophysics
Candini S
(2023)
New filamentary remnant radio emission and duty cycle constraints in the radio galaxy NGC 6086
in Astronomy & Astrophysics
Capetti A
(2022)
The LOFAR view of giant, early-type galaxies: Radio emission from active nuclei and star formation
in Astronomy & Astrophysics
Capetti A
(2023)
The LOFAR view of massive early-type galaxies: Transition from radio AGN to host emission
in Astronomy & Astrophysics
Capetti A
(2020)
The LOFAR view of FR 0 radio galaxies
in Astronomy & Astrophysics
Carretti E
(2023)
Magnetic field evolution in cosmic filaments with LOFAR data
in Monthly Notices of the Royal Astronomical Society
Carretti E
(2022)
Magnetic field strength in cosmic web filaments
in Monthly Notices of the Royal Astronomical Society
Carretti E
(2022)
Magnetic field strength in cosmic web filaments
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 |