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
Gajovic L
(2023)
Weakly interacting massive particle cross section limits from LOFAR observations of dwarf spheroidal galaxies
in Astronomy & Astrophysics
Ignesti A
(2022)
Walk on the Low Side: LOFAR Explores the Low-frequency Radio Emission of GASP Jellyfish Galaxies
in The Astrophysical Journal
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
Callingham J
(2023)
V-LoTSS: The circularly polarised LOFAR Two-metre Sky Survey
in Astronomy & Astrophysics
O'Sullivan S
(2018)
Untangling Cosmic Magnetic Fields: Faraday Tomography at Metre Wavelengths with LOFAR
in Galaxies
Rajpurohit K
(2021)
Understanding the radio relic emission in the galaxy cluster MACS J0717.5+3745: Spectral analysis
in Astronomy & Astrophysics
Pomakov V
(2022)
The redshift evolution of extragalactic magnetic fields
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 |