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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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Tahseen T (2024) Enhancing 3D planetary atmosphere simulations with a surrogate radiative transfer model in Monthly Notices of the Royal Astronomical Society

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Kukstas E (2020) Environment from cross-correlations: connecting hot gas and the quenching of galaxies in Monthly Notices of the Royal Astronomical Society

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Elbakyan V (2023) Episodic accretion and mergers during growth of massive protostars in Monthly Notices of the Royal Astronomical Society

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Attanasio F (2022) Equation of state from complex Langevin simulations in EPJ Web of Conferences

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Stiskalek R (2024) Evaluating the variance of individual halo properties in constrained cosmological simulations in Monthly Notices of the Royal Astronomical Society

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Creci G (2020) Evolution of black hole shadows from superradiance in Physical Review D

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Ryan S (2021) Excited and exotic bottomonium spectroscopy from lattice QCD in Journal of High Energy Physics

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

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Owens A (2024) ExoMol line lists - LI. Molecular line lists for lithium hydroxide (LiOH) in Monthly Notices of the Royal Astronomical Society

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Yurchenko S (2024) ExoMol line lists - LIII: empirical rovibronic spectra of yttrium oxide in Monthly Notices of the Royal Astronomical Society

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Bowesman C (2024) ExoMol line lists - LV: hyperfine-resolved molecular line list for vanadium monoxide (51V16O) in Monthly Notices of the Royal Astronomical Society

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Yurchenko S (2024) ExoMol line lists - LVII. High accuracy ro-vibrational line list for methane (CH4) in Monthly Notices of the Royal Astronomical Society

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Owens A (2024) ExoMol line lists - LVIII. High-temperature molecular line list of carbonyl sulphide (OCS) in Monthly Notices of the Royal Astronomical Society

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Yurchenko S (2024) ExoMol line lists - LX. Molecular line list for the ammonia isotopologue 15NH3 in Monthly Notices of the Royal Astronomical Society

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Yurchenko S (2020) ExoMol line lists - XL. Rovibrational molecular line list for the hydronium ion (H3O+) in Monthly Notices of the Royal Astronomical Society

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Owens A (2022) ExoMol line lists - XLVII. Rovibronic molecular line list of the calcium monohydroxide radical (CaOH) in Monthly Notices of the Royal Astronomical Society

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Yurchenko S (2020) ExoMol line lists - XXXIX. Ro-vibrational molecular line list for CO2 in Monthly Notices of the Royal Astronomical Society

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Yurchenko S (2020) ExoMol line lists - XXXVIII. High-temperature molecular line list of silicon dioxide (SiO2) in Monthly Notices of the Royal Astronomical Society

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Yurchenko S (2024) ExoMol line lists-LIX. High-temperature line list for N2O 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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Rogers J (2023) Exoplanet atmosphere evolution: emulation with neural networks in Monthly Notices of the Royal Astronomical Society

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Van Loon M (2021) Explaining the scatter in the galaxy mass-metallicity relation with gas flows in Monthly Notices of the Royal Astronomical Society

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Stafford S (2020) Exploring extensions to the standard cosmological model and the impact of baryons on small scales in Monthly Notices of the Royal Astronomical Society

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Van Daalen M (2020) Exploring the effects of galaxy formation on matter clustering through a library of simulation power spectra in Monthly Notices of the Royal Astronomical Society

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Cummins D (2022) Extreme pebble accretion in ringed protoplanetary discs in Monthly Notices of the Royal Astronomical Society

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Miles P (2020) Fallback Rates from Partial Tidal Disruption Events in The Astrophysical Journal

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Hernández-Aguayo C (2022) Fast full N-body simulations of generic modified gravity: derivative coupling models in Journal of Cosmology and Astroparticle Physics

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Oppenheimer B (2020) Feedback from supermassive black holes transforms centrals into passive galaxies by ejecting circumgalactic gas in Monthly Notices of the Royal Astronomical Society

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Yang T (2024) Feedback-driven anisotropy in the circumgalactic medium for quenching galaxies in the simba simulations 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