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
Raimondi F
(2019)
Nuclear electromagnetic dipole response with the self-consistent Green's function formalism
in Physical Review C
Bena I
(2019)
Holographic dual of hot Polchinski-Strassler quark-gluon plasma
in Journal of High Energy Physics
Pagano P
(2019)
A New Space Weather Tool for Identifying Eruptive Active Regions
in The Astrophysical Journal
Hillier A
(2019)
Coronal Cooling as a Result of Mixing by the Nonlinear Kelvin-Helmholtz Instability
in The Astrophysical Journal
Correa C
(2019)
The origin of the red-sequence galaxy population in the EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Nazari P
(2019)
Revealing signatures of planets migrating in protoplanetary discs with ALMA multiwavelength observations
in Monthly Notices of the Royal Astronomical Society
Pagano P
(2019)
MHD simulations of the in situ generation of kink and sausage waves in the solar corona by collision of dense plasma clumps
in Astronomy & Astrophysics
Booth R
(2019)
Characterizing gravito-turbulence in 3D: turbulent properties and stability against fragmentation
in Monthly Notices of the Royal Astronomical Society
Katz H
(2019)
Probing cosmic dawn: modelling the assembly history, SEDs, and dust content of selected z ~ 9 galaxies
in Monthly Notices of the Royal Astronomical Society
Gourgouliatos K
(2019)
Nonaxisymmetric Hall instability: A key to understanding magnetars
in Physical Review Research
Mant B
(2019)
The infrared spectrum of PF 3 and analysis of rotational energy clustering effect
in Molecular Physics
Du M
(2019)
The Formation of Compact Elliptical Galaxies in the Vicinity of a Massive Galaxy: The Role of Ram-pressure Confinement
in The Astrophysical Journal
Komissarov S
(2019)
Magnetic inhibition of centrifugal instability
in Monthly Notices of the Royal Astronomical Society
Weinberger L
(2019)
Modelling the observed luminosity function and clustering evolution of Ly a emitters: growing evidence for late reionization
in Monthly Notices of the Royal Astronomical Society
Eilers A
(2019)
Anomaly in the Opacity of the Post-reionization Intergalactic Medium in the Lya and Lyß Forest
in The Astrophysical Journal
Katz H
(2019)
Magnetogenesis at Cosmic Dawn: tracing the origins of cosmic magnetic fields
in Monthly Notices of the Royal Astronomical Society
Ludlow A
(2019)
Energy equipartition between stellar and dark matter particles in cosmological simulations results in spurious growth of galaxy sizes
in Monthly Notices of the Royal Astronomical Society: Letters
Tröster T
(2019)
Painting with baryons: augmenting N -body simulations with gas using deep generative models
in Monthly Notices of the Royal Astronomical Society: Letters
Cristini A
(2019)
Dependence of convective boundary mixing on boundary properties and turbulence strength
in Monthly Notices of the Royal Astronomical Society
Duguid C
(2019)
Tidal flows with convection: frequency-dependence of the effective viscosity and evidence for anti-dissipation
in Monthly Notices of the Royal Astronomical Society
Baes M
(2019)
The cosmic spectral energy distribution in the EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Owens A
(2019)
Theoretical rotation-vibration spectroscopy of cis- and trans-diphosphene (P2H2) and the deuterated species P2HD.
in The Journal of chemical physics
Leo M
(2019)
High-redshift test of gravity using enhanced growth of small structures probed by the neutral hydrogen distribution
in Physical Review D
Kettle J
(2019)
Beyond the standard model kaon mixing with physical masses.
Trayford J
(2019)
The star formation rate and stellar content contributions of morphological components in the EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
| Description | Many new discoveries about the formation and evolution of galaxies, star formation, planet formation and particle physics theory have been made possible by the award. |
| Exploitation Route | Many international collaborative projects are supported by the HPC resources provided by DiRAC |
| Sectors | Aerospace Defence and Marine Creative Economy Digital/Communication/Information Technologies (including Software) Education Healthcare |
| URL | http://www.dirac.ac.uk |
| Description | Many new discoveries about the formation and evolution of galaxies, star formation, planet formation and particle physics theory have been made possible by the award. |
| Sector | Aerospace, Defence and Marine,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Healthcare |
