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
Edler H
(2022)
Abell 1033: Radio halo and gently reenergized tail at 54 MHz
Edler H
(2022)
Abell 1033: Radio halo and gently reenergized tail at 54 MHz
in Astronomy & Astrophysics
Edler H
(2023)
ViCTORIA project: The LOFAR HBA Virgo Cluster Survey
Edler H
(2023)
VICTORIA project: The LOFAR HBA Virgo Cluster Survey
in Astronomy & Astrophysics
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
Feeney-Johansson A
(2021)
Detection of coherent low-frequency radio bursts from weak-line T Tauri stars
in Astronomy & Astrophysics
Gajovic L
(2023)
Weakly interacting massive particle cross section limits from LOFAR observations of dwarf spheroidal galaxies
in Astronomy & Astrophysics
Gloudemans A
(2022)
Discovery of 24 radio-bright quasars at 4.9 = z = 6.6 using low-frequency radio observations
in Astronomy & Astrophysics
Gloudemans A
(2021)
Low frequency radio properties of the z > 5 quasar population
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 |