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
Coleman G
(2022)
Dusty circumbinary discs: inner cavity structures and stopping locations of migrating planets
in Monthly Notices of the Royal Astronomical Society
Coles P
(2019)
ExoMol molecular line lists - XXXV. A rotation-vibration line list for hot ammonia
in Monthly Notices of the Royal Astronomical Society
Collins C
(2022)
Double detonations: variations in Type Ia supernovae due to different core and He shell masses - II. Synthetic observables
in Monthly Notices of the Royal Astronomical Society
Collins C
(2023)
Helium as a signature of the double detonation in Type Ia supernovae
in Monthly Notices of the Royal Astronomical Society
Collins C
(2023)
3D radiative transfer kilonova modelling for binary neutron star merger simulations
in Monthly Notices of the Royal Astronomical Society
Collins GS
(2020)
A steeply-inclined trajectory for the Chicxulub impact.
in Nature communications
Colquhoun B
(2023)
Precise determination of decay rates for ? c ? ? ? , J / ? ? ? ? c , and J / ? ? ? c e + e - from lattice QCD
in Physical Review D
Colò G
(2020)
Isoscalar monopole and quadrupole modes in Mo isotopes: Microscopic analysis
in Physics Letters B
Comerford T
(2019)
Bondi-Hoyle-Lyttleton accretion by binary stars
in Monthly Notices of the Royal Astronomical Society
Conaboy L
(2023)
Relative baryon-dark matter velocities in cosmological zoom simulations
in Monthly Notices of the Royal Astronomical Society
Constantino T
(2021)
Suppression of lithium depletion in young low-mass stars from fast rotation
in Astronomy & Astrophysics
Cooke R
(2020)
The ACCELERATION programme: I. Cosmology with the redshift drift
in Monthly Notices of the Royal Astronomical Society
Cooper L
(2020)
$B_c \to B_{s(d)}$ form factors
Cooper L
(2022)
Form factors for the processes B c + ? D 0 l + ? l and B c + ? D s + l + l - ( ? ? ¯ ) from lattice QCD
in Physical Review D
Cooper L
(2020)
B c ? B s ( d ) form factors from lattice QCD
in Physical Review D
Cooper R
(2020)
Subcritical dynamos in rapidly rotating planar convection
in Physical Review Fluids
Correa C
(2020)
The dependence of the galaxy stellar-to-halo mass relation on galaxy morphology
in Monthly Notices of the Royal Astronomical Society
Cossu G
(2021)
Nonperturbative Infrared Finiteness in a Superrenormalizable Scalar Quantum Field Theory.
in Physical review letters
Coughlin E
(2020)
Variability in Short Gamma-Ray Bursts: Gravitationally Unstable Tidal Tails
in The Astrophysical Journal
Coughlin E
(2022)
Stars Crushed by Black Holes. II. A Physical Model of Adiabatic Compression and Shock Formation in Tidal Disruption Events
in The Astrophysical Journal
Coulton W
(2020)
Weak lensing minima and peaks: Cosmological constraints and the impact of baryons
in Monthly Notices of the Royal Astronomical Society
Creci G
(2020)
Evolution of black hole shadows from superradiance
in Physical Review D
Croft R
(2023)
The gravitational afterglow of boson stars
in Classical and Quantum Gravity
Cuesta-Lazaro C
(2023)
Galaxy clustering from the bottom up: a streaming model emulator I
in Monthly Notices of the Royal Astronomical Society