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
Osinga E
(2021)
Diffuse radio emission from galaxy clusters in the LOFAR Two-metre Sky Survey Deep Fields
in Astronomy & Astrophysics
Hoang D
(2022)
Diffuse radio emission from non- Planck galaxy clusters in the LoTSS-DR2 fields
in Astronomy & Astrophysics
Vedantham H
(2020)
Direct Radio Discovery of a Cold Brown Dwarf
in The Astrophysical Journal
Gloudemans A
(2022)
Discovery of 24 radio-bright quasars at 4.9 = z = 6.6 using low-frequency radio observations
in Astronomy & Astrophysics
Slob M
(2022)
Extragalactic peaked-spectrum radio sources at low frequencies are young radio galaxies
in Astronomy & Astrophysics
Tasse C
(2018)
Faceting for direction-dependent spectral deconvolution
in Astronomy & Astrophysics
Tasse C.
(2017)
Faceting for direction-dependent spectral deconvolution
in ArXiv e-prints
Eyles-Ferris R
(2023)
Finding LoTSS of hosts for GRBs: a search for galaxy-gamma-ray burst coincidences at low frequencies with LOFAR
in Monthly Notices of the Royal Astronomical Society
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 |