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
Yip K
(2020)
On the Compatibility of Ground-based and Space-based Data: WASP-96 b, an Example*
in The Astronomical Journal
Yip K
(2024)
To Sample or Not to Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalizing Flows
in The Astrophysical Journal
Yardley S
(2021)
Simulating the Coronal Evolution of Bipolar Active Regions to Investigate the Formation of Flux Ropes
in Solar Physics
Yankelevich V
(2023)
The halo bispectrum as a sensitive probe of massive neutrinos and baryon physics
in Monthly Notices of the Royal Astronomical Society
Yang T
(2022)
Understanding the relation between thermal Sunyaev-Zeldovich decrement and halo mass using the simba and TNG simulations
in Monthly Notices of the Royal Astronomical Society
Yachmenev A
(2021)
Electric quadrupole transitions in carbon dioxide.
in The Journal of chemical physics
Yachmenev A
(2022)
The nuclear-spin-forbidden rovibrational transitions of water from first principles
in The Journal of Chemical Physics
Xu W
(2020)
Galaxy properties in the cosmic web of EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Wyper P
(2022)
The Imprint of Intermittent Interchange Reconnection on the Solar Wind
in The Astrophysical Journal Letters
Wurster J
(2021)
Do we need non-ideal magnetohydrodynamic to model protostellar discs?
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2022)
On the origin of magnetic fields in stars - II. The effect of numerical resolution
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2020)
Non-ideal magnetohydrodynamics versus turbulence - I. Which is the dominant process in protostellar disc formation?
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2020)
Non-ideal magnetohydrodynamics versus turbulence II: Which is the dominant process in stellar core formation?
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2021)
The impact of non-ideal magnetohydrodynamic processes on discs, outflows, counter-rotation, and magnetic walls during the early stages of star formation
in Monthly Notices of the Royal Astronomical Society
Wu Y
(2023)
Using planet migration and dust drift to weigh protoplanetary discs
in Monthly Notices of the Royal Astronomical Society
Wu X
(2020)
Photometric properties of reionization-epoch galaxies in the simba simulations
in Monthly Notices of the Royal Astronomical Society
Wright S
(2022)
Non-local thermal equilibrium spectra of atmospheric molecules for exoplanets
in Monthly Notices of the Royal Astronomical Society
Woss A
(2020)
Efficient solution of the multichannel Lüscher determinant condition through eigenvalue decomposition
in Physical Review D
Woss A
(2021)
Decays of an exotic 1 - + hybrid meson resonance in QCD
in Physical Review D
Witten C
(2024)
Deciphering Lyman-a emission deep into the epoch of reionization
in Nature Astronomy
Witstok J
(2021)
Prospects for observing the low-density cosmic web in Lyman- a emission
in Astronomy & Astrophysics
Witek H
(2020)
Towards numerical relativity in scalar Gauss-Bonnet gravity: 3 + 1 decomposition beyond the small-coupling limit
in Physical Review D
Wilson B
(2022)
A measurement of the Ly ß forest power spectrum and its cross with the Ly a forest in X-Shooter XQ-100
in Monthly Notices of the Royal Astronomical Society