DiRAC-3 Operations 2019-2022 - Edinburgh
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of 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:
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.
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.
Development and delivery of co-design projects with industry partners to improve future generations of hardware and software.
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.
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.
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:
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.
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.
Development and delivery of co-design projects with industry partners to improve future generations of hardware and software.
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.
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.
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
Nelson R
(2023)
Gas accretion onto Jupiter mass planets in discs with laminar accretion flows
in Astronomy & Astrophysics
Dimmock A
(2023)
Backstreaming ions at a high Mach number interplanetary shock Solar Orbiter measurements during the nominal mission phase
in Astronomy & Astrophysics
Garron N
(2023)
Nonperturbative renormalization with interpolating momentum schemes
in Physical Review D
Reina-Campos M
(2023)
Constraining the shape of dark matter haloes with globular clusters and diffuse stellar light in the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Appleby S
(2023)
Mapping circumgalactic medium observations to theory using machine learning
in Monthly Notices of the Royal Astronomical Society
Bennett E
(2024)
Singlets in gauge theories with fundamental matter
in Physical Review D
Yurchenko S
(2024)
ExoMol line lists - LIV. Empirical line lists for AlH and AlD and experimental emission spectroscopy of AlD in A1? ( v = 0, 1, 2)
in Monthly Notices of the Royal Astronomical Society
Witten C
(2024)
Deciphering Lyman-a emission deep into the epoch of reionization
in Nature Astronomy
Goater A
(2024)
EDGE: The direct link between mass growth history and the extended stellar haloes of the faintest dwarf galaxies
in Monthly Notices of the Royal Astronomical Society
Fenton A
(2024)
The 3D structure of disc-instability protoplanets
in Astronomy & Astrophysics
Owens A
(2024)
ExoMol line lists - LI. Molecular line lists for lithium hydroxide (LiOH)
in Monthly Notices of the Royal Astronomical Society
Ghosh S
(2024)
First frequency-domain phenomenological model of the multipole asymmetry in gravitational-wave signals from binary-black-hole coalescence
in Physical Review D
Edwards B
(2024)
Measuring Tracers of Planet Formation in the Atmosphere of WASP-77A b: Substellar O/H and C/H Ratios, with a Stellar C/O Ratio and a Potentially Superstellar Ti/H Ratio
in The Astrophysical Journal Letters
Changeat Q
(2024)
Is the Atmosphere of the Ultra-hot Jupiter WASP-121 b Variable?
in The Astrophysical Journal Supplement Series
Rey M
(2024)
Boosting galactic outflows with enhanced resolution
in Monthly Notices of the Royal Astronomical Society
Yip K
(2024)
To Sample or Not to Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalizing Flows
in The Astrophysical Journal
Ploeckinger S
(2024)
Resolution criteria to avoid artificial clumping in Lagrangian hydrodynamic simulations with a multiphase interstellar medium
in Monthly Notices of the Royal Astronomical Society
Gonzalo T
(2024)
PEANUTS: a software for the automatic computation of solar neutrino flux and its propagation within Earth
in The European Physical Journal C
Bartlett D
(2024)
Exhaustive Symbolic Regression
in IEEE Transactions on Evolutionary Computation
Rowan C
(2024)
Black hole binaries in AGN accretion discs - II. Gas effects on black hole satellite scatterings
in Monthly Notices of the Royal Astronomical Society
Hamilton E
(2024)
Catalog of precessing black-hole-binary numerical-relativity simulations
in Physical Review D