DIRAC-3 Operations 2019-22 - UCL
Lead Research Organisation:
University College London
Department Name: Physics and Astronomy
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Planned Impact
The DiRAC-3 Facility strategy for impact and innovation delivery is well-aligned with the UK government Industrial Strategy. As such, much of our societal and economic impact will continue to be driven by our engagements with industry. Each DiRAC-3 service provider has a local industrial strategy to deliver continued high levels of industrial engagement and to explore avenues to increase innovation and industrial returns over the next three years. Progress towards the industrial strategy goals will be monitored by the Service Management Boards and the DiRAC Technical Manager and reported to STFC via the DiRAC Oversight Committee.
The "Pathways to Impact" document attached to the lead JeS form for this proposal describes the overall DiRAC-3 industrial strategy, including our strategic goals and key performance indicators.
Examples of the expected impact of DiRAC-3 include:
1) Dissemination of best practice in High Performance Computing software engineering throughout the theoretical Particle Physics, Astronomy and Nuclear physics communities in the UK as well as to industry partners.
2) Training of the next generation of research scientists to tackle problems effectively on state-of-the- art of High Performance Computing facilities. Such skills are much in demand from high-tech industry and the cadre of highly-skilled, computationally literate individuals nurtured by DiRAC-3 will have influence beyond academia and will help to maintain the UK's scientific and economic leadership.
3) Development and delivery of co-design projects with industry partners to improve future generations of hardware and software.
4) Development of new techniques in the area of High Performance Data Analytics which will benefit industry partners and researchers in other fields such as biomedicine, biology, engineering, economics and social science, and the natural environment who can use these developments to improve research outcomes in their areas.
5) Sharing of best practice on the design and operation of distributed HPC facilities with UK National e-Infrastructure partners and providing leadership towards an integrated UKRI National e-Infrastructure. By supporting the uptake of emerging technologies by the DiRAC research communities, we will enable other research communities, both in academia and industry, to explore the value of using leading-edge technology to support their research workflows.
6) Engagement with the general public to promote interest in science, and to explain how our ability to solve complex problems using the latest computer technology leads to new scientific capabilities/insights. Engagement of this kind also naturally encourages the uptake of STEM subjects in schools.
The "Pathways to Impact" document attached to the lead JeS form for this proposal describes the overall DiRAC-3 industrial strategy, including our strategic goals and key performance indicators.
Examples of the expected impact of DiRAC-3 include:
1) Dissemination of best practice in High Performance Computing software engineering throughout the theoretical Particle Physics, Astronomy and Nuclear physics communities in the UK as well as to industry partners.
2) Training of the next generation of research scientists to tackle problems effectively on state-of-the- art of High Performance Computing facilities. Such skills are much in demand from high-tech industry and the cadre of highly-skilled, computationally literate individuals nurtured by DiRAC-3 will have influence beyond academia and will help to maintain the UK's scientific and economic leadership.
3) Development and delivery of co-design projects with industry partners to improve future generations of hardware and software.
4) Development of new techniques in the area of High Performance Data Analytics which will benefit industry partners and researchers in other fields such as biomedicine, biology, engineering, economics and social science, and the natural environment who can use these developments to improve research outcomes in their areas.
5) Sharing of best practice on the design and operation of distributed HPC facilities with UK National e-Infrastructure partners and providing leadership towards an integrated UKRI National e-Infrastructure. By supporting the uptake of emerging technologies by the DiRAC research communities, we will enable other research communities, both in academia and industry, to explore the value of using leading-edge technology to support their research workflows.
6) Engagement with the general public to promote interest in science, and to explain how our ability to solve complex problems using the latest computer technology leads to new scientific capabilities/insights. Engagement of this kind also naturally encourages the uptake of STEM subjects in schools.
Organisations
Publications
Fossati M
(2019)
The MUSE Ultra Deep Field (MUDF). II. Survey design and the gaseous properties of galaxy groups at 0.5 < z < 1.5
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2019)
Disc formation and fragmentation using radiative non-ideal magnetohydrodynamics
in Monthly Notices of the Royal Astronomical Society
Witzke V
(2019)
Evolution and characteristics of forced shear flows in polytropic atmospheres: large and small Péclet number regimes
in Monthly Notices of the Royal Astronomical Society
Muia F
(2019)
The fate of dense scalar stars
in Journal of Cosmology and Astroparticle Physics
McAlpine S
(2019)
The gas fractions of dark matter haloes hosting simulated ~L? galaxies are governed by the feedback history of their black holes
in Monthly Notices of the Royal Astronomical Society
Dowdall R
(2019)
Neutral B -meson mixing from full lattice QCD at the physical point
in Physical Review D
Harries T
(2019)
The TORUS radiation transfer code
in Astronomy and Computing
Regan J
(2019)
Super-Eddington accretion and feedback from the first massive seed black holes
in Monthly Notices of the Royal Astronomical Society
Rey M
(2019)
EDGE: The Origin of Scatter in Ultra-faint Dwarf Stellar Masses and Surface Brightnesses
in The Astrophysical Journal
Vincenzo F
(2019)
He abundances in disc galaxies I. Predictions from cosmological chemodynamical simulations
in Astronomy & Astrophysics
Edelmann P
(2019)
Three-dimensional Simulations of Massive Stars. I. Wave Generation and Propagation
in The Astrophysical Journal
Rosas-Guevara Y
(2019)
The abundances and properties of Dual AGN and their host galaxies in the EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
Haynes C
(2019)
Galactic simulations of r-process elemental abundances
in Monthly Notices of the Royal Astronomical Society
Bijnens J
(2019)
Electromagnetic finite-size effects to the hadronic vacuum polarization
in Physical Review D
Tanimura H
(2019)
A search for warm/hot gas filaments between pairs of SDSS Luminous Red Galaxies
in Monthly Notices of the Royal Astronomical Society
Lovell M
(2019)
Simulating the Dark Matter Decay Signal from the Perseus Galaxy Cluster
in The Astrophysical Journal Letters
Naik A
(2019)
Constraints on chameleon f(R)-gravity from galaxy rotation curves of the SPARC sample
in Monthly Notices of the Royal Astronomical Society
Digby R
(2019)
The star formation histories of dwarf galaxies in Local Group cosmological simulations
in Monthly Notices of the Royal Astronomical Society
Kessar M
(2019)
Scale Selection in the Stratified Convection of the Solar Photosphere
in The Astrophysical Journal
Gorman M
(2019)
ExoMol molecular line lists XXXVI: X 2? - X 2? and A 2S+ - X 2? transitions of SH
in Monthly Notices of the Royal Astronomical Society
Stothert L
(2019)
A new approach to finding galaxy groups using Markov Clustering
in Monthly Notices of the Royal Astronomical Society: Letters
AchĂșcarro A
(2019)
Cosmological evolution of semilocal string networks.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Helfer T
(2019)
Cosmic string loop collapse in full general relativity
in Physical Review D
Davoudi Z
(2019)
Theoretical aspects of quantum electrodynamics in a finite volume with periodic boundary conditions
in Physical Review D
Arnett W
(2019)
3D Simulations and MLT. I. Renzini's Critique
in The Astrophysical Journal