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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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Banfi A (2024) Higgs interference effects in top-quark pair production in the 1HSM in Journal of High Energy Physics

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Banfi A (2024) A POWHEG generator for deep inelastic scattering in Journal of High Energy Physics

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Bantilan H (2020) Real-Time Dynamics of Plasma Balls from Holography. in Physical review letters

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Barausse E (2020) Prospects for fundamental physics with LISA in General Relativity and Gravitation

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Barnes D (2021) Characterizing hydrostatic mass bias with mock-X in Monthly Notices of the Royal Astronomical Society

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Barrera M (2023) The MillenniumTNG Project: semi-analytic galaxy formation models on the past lightcone in Monthly Notices of the Royal Astronomical Society

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Barrera-Hinojosa C (2022) Looking for a twist: probing the cosmological gravitomagnetic effect via weak lensing-kSZ cross-correlations in Monthly Notices of the Royal Astronomical Society

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Barrera-Hinojosa C (2020) GRAMSES: a new route to general relativistic N -body simulations in cosmology. Part II. Initial conditions in Journal of Cosmology and Astroparticle Physics

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Barrera-Hinojosa C (2021) Vector modes in ?CDM: the gravitomagnetic potential in dark matter haloes from relativistic N -body simulations in Monthly Notices of the Royal Astronomical Society

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Bartlett D (2021) Spatially offset black holes in the Horizon-AGN simulation and comparison to observations in Monthly Notices of the Royal Astronomical Society

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Bartlett D (2023) Marginalised Normal Regression: Unbiased curve fitting in the presence of x-errors in The Open Journal of Astrophysics

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Bartlett D (2024) Exhaustive Symbolic Regression in IEEE Transactions on Evolutionary Computation

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Bartlett-Tisdall S (2024) Bootstrapping boundary QED. Part I in Journal of High Energy Physics

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Bastian N (2020) The globular cluster system mass-halo mass relation in the E-MOSAICS simulations in Monthly Notices of the Royal Astronomical Society

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Bate M (2020) Photoionizing feedback in spiral arm molecular clouds 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/7057645
 
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