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
Lach F
(2022)
Models of pulsationally assisted gravitationally confined detonations with different ignition conditions
in Astronomy & Astrophysics
Reid J
(2020)
Coronal energy release by MHD avalanches: Heating mechanisms
in Astronomy & Astrophysics
Gronow S
(2021)
Metallicity-dependent nucleosynthetic yields of Type Ia supernovae originating from double detonations of sub- M Ch white dwarfs
in Astronomy & Astrophysics
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
Aurrekoetxea J
(2020)
Coherent gravitational waveforms and memory from cosmic string loops
in Classical and Quantum Gravity
Gerosa D
(2022)
The irreducible mass and the horizon area of LIGO's black holes
in Classical and Quantum Gravity
Croft R
(2023)
The gravitational afterglow of boson stars
in Classical and Quantum Gravity
Clough K
(2021)
Continuity equations for general matter: applications in numerical relativity
in Classical and Quantum Gravity
Pandya A
(2022)
Dynamics of a nonminimally coupled scalar field in asymptotically AdS 4 spacetime
in Classical and Quantum Gravity
Cardoso V
(2023)
Curvature and dynamical spacetimes: can we peer into the quantum regime?
in Classical and Quantum Gravity
Adamek J
(2020)
Numerical solutions to Einstein's equations in a shearing-dust universe: a code comparison
in Classical and Quantum Gravity
Figueras P
(2020)
Gravitational collapse in cubic Horndeski theories
in Classical and Quantum Gravity
Radia M
(2022)
Lessons for adaptive mesh refinement in numerical relativity
in Classical and Quantum Gravity
Evstafyeva T
(2023)
Unequal-mass boson-star binaries: initial data and merger dynamics
in Classical and Quantum Gravity
Ripley J
(2022)
Computing the quasinormal modes and eigenfunctions for the Teukolsky equation using horizon penetrating, hyperboloidally compactified coordinates
in Classical and Quantum Gravity
Sedda M
(2020)
The missing link in gravitational-wave astronomy: discoveries waiting in the decihertz range
in Classical and Quantum Gravity
Helfer T
(2022)
Malaise and remedy of binary boson-star initial data
in Classical and Quantum Gravity
Tsang Y
(2020)
Characterising Jupiter's dynamo radius using its magnetic energy spectrum
in Earth and Planetary Science Letters
Attanasio F
(2022)
Equation of state from complex Langevin simulations
in EPJ Web of Conferences
Spriggs T
(2022)
A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
in EPJ Web of Conferences
Skullerud J
(2022)
Hadrons at high temperature: An update from the FASTSUM collaboration
in EPJ Web of Conferences
Di Carlo M
(2022)
Electromagnetic finite-size effects beyond the point-like approximation
in EPJ Web of Conferences
Lawlor D
(2022)
Thermal Transitions in Dense Two-Colour QCD
in EPJ Web of Conferences
Changeat Q
(2022)
Disentangling atmospheric compositions of K2-18 b with next generation facilities.
in Experimental astronomy
Trotta D
(2022)
Single-spacecraft techniques for shock parameters estimation: A systematic approach
in Frontiers in Astronomy and Space Sciences
Matteini L
(2020)
Magnetic Field Turbulence in the Solar Wind at Sub-ion Scales: In Situ Observations and Numerical Simulations
in Frontiers in Astronomy and Space Sciences
Tinoco-Arenas A
(2022)
Parametric Study of Magnetosheath Jets in 2D Local Hybrid Simulations
in Frontiers in Astronomy and Space Sciences
Stevenson P
(2022)
Mean-field simulations of Es-254 + Ca-48 heavy-ion reactions
in Frontiers in Physics
Barausse E
(2020)
Prospects for fundamental physics with LISA
in General Relativity and Gravitation
Mason S
(2022)
Magnetoconvection in a rotating spherical shell in the presence of a uniform axial magnetic field
in Geophysical & Astrophysical Fluid Dynamics
Gupta P
(2022)
A study of global magnetic helicity in self-consistent spherical dynamos
in Geophysical & Astrophysical Fluid Dynamics
Davison T
(2022)
Complex Crater Formation by Oblique Impacts on the Earth and Moon
in Geophysical Research Letters
Read P
(2020)
The turbulent dynamics of Jupiter's and Saturn's weather layers: order out of chaos?
in Geoscience Letters
Sergeev D
(2023)
Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere
in Geoscientific Model Development
Halim S
(2021)
Assessing the survivability of biomarkers within terrestrial material impacting the lunar surface
in Icarus
Young R
(2019)
Simulating Jupiter's weather layer. Part II: Passive ammonia and water cycles
in Icarus
Raducan S
(2022)
Ejecta distribution and momentum transfer from oblique impacts on asteroid surfaces
in Icarus
Bartlett D
(2024)
Exhaustive Symbolic Regression
in IEEE Transactions on Evolutionary Computation
Hardy F
(2023)
Estimating nosocomial infection and its outcomes in hospital patients in England with a diagnosis of COVID-19 using machine learning
in International Journal of Data Science and Analytics
Heyl J
(2023)
Data quality and autism: Issues and potential impacts
in International Journal of Medical Informatics
Stevenson P
(2020)
Internuclear potentials from the Sky3D code
in IOP SciNotes
Almaraz E
(2020)
Nonlinear structure formation in Bound Dark Energy
in Journal of Cosmology and Astroparticle Physics
Givans J
(2022)
Non-linearities in the Lyman-a forest and in its cross-correlation with dark matter halos
in Journal of Cosmology and Astroparticle Physics
Hernández-Aguayo C
(2022)
Fast full N-body simulations of generic modified gravity: derivative coupling models
in Journal of Cosmology and Astroparticle Physics
Barrera-Hinojosa C
(2020)
GRAMSES: a new route to general relativistic N -body simulations in cosmology. Part I. Methodology and code description
in Journal of Cosmology and Astroparticle Physics
Becker C
(2020)
Proca-stinated cosmology. Part I. A N -body code for the vector Galileon
in Journal of Cosmology and Astroparticle Physics
Poole-McKenzie R
(2020)
Informing dark matter direct detection limits with the ARTEMIS simulations
in Journal of Cosmology and Astroparticle Physics
De Jong E
(2023)
Spinning primordial black holes formed during a matter-dominated era
in Journal of Cosmology and Astroparticle Physics
Nazari Z
(2021)
Oscillon collapse to black holes
in Journal of Cosmology and Astroparticle Physics