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
Vedantham H
(2022)
Peculiar Radio-X-Ray Relationship in Active Stars
in The Astrophysical Journal Letters
Vedantham H
(2020)
Direct Radio Discovery of a Cold Brown Dwarf
in The Astrophysical Journal
Van Eck C. L.
(2018)
Polarized point sources in the LOFAR Two-meter Sky Survey: A preliminary catalog
in ArXiv e-prints
Toet S
(2021)
Coherent radio emission from a population of RS Canum Venaticorum systems
in Astronomy & Astrophysics
Tasse C.
(2017)
Faceting for direction-dependent spectral deconvolution
in ArXiv e-prints
Tasse C
(2018)
Faceting for direction-dependent spectral deconvolution
in Astronomy & Astrophysics
Stacey H
(2019)
LoTSS/HETDEX: Disentangling star formation and AGN activity in gravitationally lensed radio-quiet quasars
in Astronomy & Astrophysics
Smith D
(2021)
The LOFAR Two-metre Sky Survey Deep Fields The star-formation rate-radio luminosity relation at low frequencies
in Astronomy & Astrophysics
Slob M
(2022)
Extragalactic peaked-spectrum radio sources at low frequencies are young radio galaxies
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 |