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
Lovell C
(2021)
First Light And Reionization Epoch Simulations (FLARES) - I. Environmental dependence of high-redshift galaxy evolution
in Monthly Notices of the Royal Astronomical Society
Lovell C
(2022)
A machine learning approach to mapping baryons on to dark matter haloes using the eagle and C-EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
Lovell M
(2021)
The spatial distribution of Milky Way satellites, gaps in streams, and the nature of dark matter
in Monthly Notices of the Royal Astronomical Society
Lovell M
(2020)
Local group star formation in warm and self-interacting dark matter cosmologies
in Monthly Notices of the Royal Astronomical Society
Lovell M
(2019)
Simulating the Dark Matter Decay Signal from the Perseus Galaxy Cluster
in The Astrophysical Journal Letters
Lovell M
(2019)
The signal of decaying dark matter with hydrodynamical simulations
in Monthly Notices of the Royal Astronomical Society
Lovell M
(2020)
Toward a General Parameterization of the Warm Dark Matter Halo Mass Function
in The Astrophysical Journal
Lower S
(2020)
How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting
in The Astrophysical Journal
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
Ludlow A
(2020)
Numerical convergence of hydrodynamical simulations of galaxy formation: the abundance and internal structure of galaxies and their cold dark matter haloes
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 |
