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DiRAC-2.5 - the pathway to DiRAC Phase 3

Lead Research Organisation: Durham University
Department Name: Physics

Abstract

We request funding to relocate the Blue Wonder HPC cluster and associated storage, currently at the Hartree Centre at Daresbury, to Durham, together with installation and hardware maintenance costs. This move would enable DiRAC to expand the current DiRAC-2 Data centric service, managed by Durham, by a factor of two in both computing power and data storage capacity. The new service would be called the DiRAC-2.5 Data Centric service.

Planned Impact

DiRAC would seek to continue to engage with industry at various levels, from the
provision of computing cycles for industrial applications to the
exchange of technical knowledge and shared training programmes. The
facility will serve to train young scientists in the most advanced
techniques for supercomputing. These have extensive applications beyond
academia, for example in industry and finance. Finally, output from Dirac-based
projects will be used for science outreach activities.

Publications

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Keating L (2024) The origin of the characteristic shape and scatter of intergalactic damping wings during reionization in Monthly Notices of the Royal Astronomical Society: Letters

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Ibrahim D (2024) The impact of supernova feedback on the mass-metallicity relations in Monthly Notices of the Royal Astronomical Society

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Ibrahim D (2024) The impact of supernova feedback on the mass-metallicity relations in Monthly Notices of the Royal Astronomical Society

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Fenton A (2024) The 3D structure of disc-instability protoplanets in Astronomy & Astrophysics

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Prole L (2024) Heavy black hole seed formation in high- z atomic cooling halos in Astronomy & Astrophysics

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Armijo J (2024) A new test of gravity - I. Introduction to the method in Monthly Notices of the Royal Astronomical Society

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Changeat Q (2024) Is the Atmosphere of the Ultra-hot Jupiter WASP-121 b Variable? in The Astrophysical Journal Supplement Series

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CamposĀ 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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Santos-Santos I (2024) Anisotropies in the spatial distribution and kinematics of dwarf galaxies in the Local Group and beyond in Monthly Notices of the Royal Astronomical Society

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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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Keating L (2024) JWST observations of galaxy-damping wings during reionization interpreted with cosmological simulations in Monthly Notices of the Royal Astronomical Society

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Chen C (2023) Can a binary star host three giant circumbinary planets? in Monthly Notices of the Royal Astronomical Society

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Hadzhiyska B (2023) The MillenniumTNG Project: an improved two-halo model for the galaxy-halo connection of red and blue galaxies in Monthly Notices of the Royal Astronomical Society

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Belokurov V (2023) Energy wrinkles and phase-space folds of the last major merger in Monthly Notices of the Royal Astronomical Society

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Ali A (2023) Star cluster formation and feedback in different environments of a Milky Way-like galaxy in Monthly Notices of the Royal Astronomical Society

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Ananyev V (2023) Collider constraints on electroweakinos in the presence of a light gravitino in The European Physical Journal C

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Betts J (2023) Machine learning and structure formation in modified gravity in Monthly Notices of the Royal Astronomical Society

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Beraldo E Silva L (2023) Orbital Support and Evolution of Flat Profiles of Bars (Shoulders) in The Astrophysical Journal

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Bose S (2023) The MillenniumTNG Project: the large-scale clustering of galaxies 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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Kirchschlager F (2023) Dust survival rates in clumps passing through the Cas A reverse shock - II. The impact of magnetic fields in Monthly Notices of the Royal Astronomical Society

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Barmentloo S (2023) Determining satellite infall times using machine learning in Monthly Notices of the Royal Astronomical Society

 
Description See Dirac annual report https://dirac.ac.uk
Exploitation Route See Dirac annual report https://dirac.ac.uk
Sectors Digital/Communication/Information Technologies (including Software)

Education

URL https://dirac.ac.uk