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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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Kobayashi C (2020) The Origin of Elements from Carbon to Uranium in The Astrophysical Journal

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Grand R (2020) The biggest splash in Monthly Notices of the Royal Astronomical Society

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Leo M (2020) Constraining structure formation using EDGES in Journal of Cosmology and Astroparticle Physics

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Hassan S (2020) Testing galaxy formation simulations with damped Lyman-a abundance and metallicity evolution in Monthly Notices of the Royal Astronomical Society

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Yurchenko SN (2020) Treating linear molecules in calculations of rotation-vibration spectra. in The Journal of chemical physics

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Coulton W (2020) Weak lensing minima and peaks: Cosmological constraints and the impact of baryons in Monthly Notices of the Royal Astronomical Society

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Clark V (2020) The high-temperature rotation-vibration spectrum and rotational clustering of silylene (SiH2) in Journal of Quantitative Spectroscopy and Radiative Transfer

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Goyal J (2020) A library of self-consistent simulated exoplanet atmospheres in Monthly Notices of the Royal Astronomical Society

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Pichon C (2020) And yet it flips: connecting galactic spin and the cosmic web in Monthly Notices of the Royal Astronomical Society

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Kay S (2020) The intracluster light as a tracer of the total matter density distribution: a view from simulations in Monthly Notices of the Royal Astronomical Society

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Cooper L (2020) B c ? B s ( d ) form factors from lattice QCD in Physical Review D

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Almaraz E (2020) Nonlinear structure formation in Bound Dark Energy in Journal of Cosmology and Astroparticle Physics

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Cuesta-Lazaro C (2020) Towards a non-Gaussian model of redshift space distortions in Monthly Notices of the Royal Astronomical Society

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Vidal J (2020) Efficiency of tidal dissipation in slowly rotating fully convective stars or planets in Monthly Notices of the Royal Astronomical Society

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Kraljic K (2020) The impact of the connectivity of the cosmic web on the physical properties of galaxies at its nodes in Monthly Notices of the Royal Astronomical Society

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Chubb K (2020) ExoMol molecular line lists - XXXVII. Spectra of acetylene in Monthly Notices of the Royal Astronomical Society

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Stevenson P (2020) A time-dependent Hartree-Fock study of triple-alpha dynamics in SciPost Physics Proceedings

 
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