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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.

Publications

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Georgy C (2024) 3D simulations of a neon burning convective shell in a massive star in Monthly Notices of the Royal Astronomical Society

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Elsender D (2021) The statistical properties of protostellar discs and their dependence on metallicity in Monthly Notices of the Royal Astronomical Society

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Jahns-Schindler J (2023) How limiting is optical follow-up for fast radio burst applications? Forecasts for radio and optical surveys in Monthly Notices of the Royal Astronomical Society

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Campos Estrada B (2024) On the likely magnesium-iron silicate dusty tails of catastrophically evaporating rocky planets in Monthly Notices of the Royal Astronomical Society

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Huško F (2022) Statistics of galaxy mergers: bridging the gap between theory and observation in Monthly Notices of the Royal Astronomical Society

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Bosman S (2022) Hydrogen reionization ends by z = 5.3: Lyman-a optical depth measured by the XQR-30 sample in Monthly Notices of the Royal Astronomical Society

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Daley-Yates S (2024) Simulating stellar coronal rain and slingshot prominences in Monthly Notices of the Royal Astronomical Society

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Katz H (2020) New methods for identifying Lyman continuum leakers and reionization-epoch analogues in Monthly Notices of the Royal Astronomical Society

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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

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Hoy C (2024) bilby in space: Bayesian inference for transient gravitational-wave signals observed with LISA in Monthly Notices of the Royal Astronomical Society

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Bahé Y (2022) The importance of black hole repositioning for galaxy formation simulations in Monthly Notices of the Royal Astronomical Society

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Coleman G (2024) Constraining the formation history of the TOI-1338/BEBOP-1 circumbinary planetary system in Monthly Notices of the Royal Astronomical Society

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Salcido J (2020) How feedback shapes galaxies: an analytic model in Monthly Notices of the Royal Astronomical Society

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Camps P (2022) High-resolution synthetic UV-submm images for Milky Way-mass simulated galaxies from the ARTEMIS project in Monthly Notices of the Royal Astronomical Society

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Srisawat C (2020) MEGA: Merger graphs of structure formation in Monthly Notices of the Royal Astronomical Society

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Richings A (2022) The effects of local stellar radiation and dust depletion on non-equilibrium interstellar chemistry in Monthly Notices of the Royal Astronomical Society

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Santos-Santos I (2021) Magellanic satellites in ?CDM cosmological hydrodynamical simulations of the Local Group in Monthly Notices of the Royal Astronomical Society

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Huscher E (2021) The changing circumgalactic medium over the last 10 Gyr - I. Physical and dynamical properties in Monthly Notices of the Royal Astronomical Society

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Armijo J (2024) A new test of gravity - II. Application of marked correlation functions to luminous red galaxy samples in Monthly Notices of the Royal Astronomical Society

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Zheng Y (2022) Rapidly quenched galaxies in the Simba cosmological simulation and observations in Monthly Notices of the Royal Astronomical Society

 
Title Supplemental data for the report "Optimisation of lattice simulations energy efficiency" 
Description Supplemental data for the report "Optimisation of lattice simulations energy efficiency". Also available as a git repository. It contains: Full copy of benchmark run directories Power monitoring scripts Power monitoring raw measurements Power monitoring data analysis and results used in the report For a more complete description, please see the README.md file. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/7057644
 
Title Supplemental data for the report "Optimisation of lattice simulations energy efficiency" 
Description Supplemental data for the report "Optimisation of lattice simulations energy efficiency". Also available as a git repository. It contains: Full copy of benchmark run directories Power monitoring scripts Power monitoring raw measurements Power monitoring data analysis and results used in the report For a more complete description, please see the README.md file. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/7057645