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
Elbers W
(2021)
An optimal non-linear method for simulating relic neutrinos
in Monthly Notices of the Royal Astronomical Society
Elliott E
(2021)
Efficient exploration and calibration of a semi-analytical model of galaxy formation with deep learning
in Monthly Notices of the Royal Astronomical Society
Elsender D
(2021)
The statistical properties of protostellar discs and their dependence on metallicity
in Monthly Notices of the Royal Astronomical Society
Elsender D
(2023)
On the frequencies of circumbinary discs in protostellar systems
in Monthly Notices of the Royal Astronomical Society
Elson E
(2023)
Measurements of the angular momentum-mass relations in the Simba simulation
in New Astronomy
Elvis M
(2020)
Q wind code release: a non-hydrodynamical approach to modelling line-driven winds in active galactic nuclei
in Monthly Notices of the Royal Astronomical Society
Errani R
(2021)
The asymptotic tidal remnants of cold dark matter subhaloes
in Monthly Notices of the Royal Astronomical Society
Etherington A
(2022)
Automated galaxy-galaxy strong lens modelling: No lens left behind
in Monthly Notices of the Royal Astronomical Society
Etherington A
(2023)
Beyond the bulge-halo conspiracy? Density profiles of early-type galaxies from extended-source strong lensing
in Monthly Notices of the Royal Astronomical Society
Evans T
(2020)
How unusual is the Milky Way's assembly history?
in Monthly Notices of the Royal Astronomical Society
Evans T
(2022)
Observing EAGLE galaxies with JWST : predictions for Milky Way progenitors and their building blocks
in Monthly Notices of the Royal Astronomical Society
Evstafyeva T
(2023)
Unequal-mass boson-star binaries: initial data and merger dynamics
in Classical and Quantum Gravity
Evstafyeva T
(2023)
Boson stars in massless and massive scalar-tensor gravity
in Physical Review D
Falck B
(2021)
Indra: a public computationally accessible suite of cosmological N -body simulations
in Monthly Notices of the Royal Astronomical Society
Falle S
(2020)
Thermal instability revisited
in Monthly Notices of the Royal Astronomical Society
Fancher J
(2023)
On the relative importance of shocks and self-gravity in modifying tidal disruption event debris streams
in Monthly Notices of the Royal Astronomical Society
Fattahi A
(2020)
A tale of two populations: surviving and destroyed dwarf galaxies and the build-up of the Milky Way's stellar halo
in Monthly Notices of the Royal Astronomical Society
Fenton A
(2024)
The 3D structure of disc-instability protoplanets
in Astronomy & Astrophysics
Ferlito F
(2023)
The MillenniumTNG Project: the impact of baryons and massive neutrinos on high-resolution weak gravitational lensing convergence maps
in Monthly Notices of the Royal Astronomical Society
Figueras P
(2022)
Black hole binaries in cubic Horndeski theories
in Physical Review D
Figueras P
(2023)
Endpoint of the Gregory-Laflamme instability of black strings revisited
in Physical Review D
Figueras P
(2020)
Gravitational collapse in cubic Horndeski theories
in Classical and Quantum Gravity
Fiteni K
(2021)
The relative efficiencies of bars and clumps in driving disc stars to retrograde motion
in Monthly Notices of the Royal Astronomical Society
Font A
(2021)
Can cosmological simulations capture the diverse satellite populations of observed Milky Way analogues?
in Monthly Notices of the Royal Astronomical Society