WEAVE Detectors Completion
Lead Research Organisation:
Liverpool John Moores University
Department Name: Astrophysics Research Institute
Abstract
This grant is to complete the production and commissioning of the detector system for the WEAVE spectrograph.
Planned Impact
ARI has a long tradition of strong industrial and PUS engagement. For this particular project we will continue our policy of engagement with engineering firms who will be commissioned to manufacture the structure of the instrument. In the past this has allowed firms working with us to upgrade their skills and machinery to deliver the high precision needed for astronomical instrumentation, allowing them to received grants and R&D tax credits in order to upgrade their precision machining capability and safeguarding a number of jobs at the time. In addition such firms have been able to use their work on astronomical instrumentation to enhance their reputation with other customers and has assisted them in gaining access to new markets (for example contracts with ING and CERN).
Publications
Smith D
(2018)
Panchromatic SED modelling of spatially resolved galaxies
in Monthly Notices of the Royal Astronomical Society
Simpson J
(2017)
Siriusly, a newly identified intermediate-age Milky Way stellar cluster: a spectroscopic study of Gaia 1
in Monthly Notices of the Royal Astronomical Society
Simpson C
(2017)
Extragalactic radio surveys in the pre-Square Kilometre Array era.
in Royal Society open science
Silk J
(2019)
Exploring a new definition of the green valley and its implications
in Monthly Notices of the Royal Astronomical Society: Letters
Shipp N
(2019)
Proper Motions of Stellar Streams Discovered in the Dark Energy Survey
in The Astrophysical Journal
Shimwell T
(2017)
The LOFAR Two-metre Sky Survey I. Survey description and preliminary data release?
in Astronomy & Astrophysics
Shimwell T
(2019)
The LOFAR Two-metre Sky Survey II. First data release
in Astronomy & Astrophysics
Sharma S
(2019)
The K2-HERMES Survey: age and metallicity of the thick disc
in Monthly Notices of the Royal Astronomical Society
Sesar B
(2017)
Machine-learned Identification of RR Lyrae Stars from Sparse, Multi-band Data: The PS1 Sample
in The Astronomical Journal
Schönrich R
(2017)
Assessing distances and consistency of kinematics in Gaia/TGAS
in Monthly Notices of the Royal Astronomical Society