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.
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.
Organisations
Publications
Suarez T
(2021)
Modelling intergalactic low ionization metal absorption line systems near the epoch of reionization
in Monthly Notices of the Royal Astronomical Society
Robertson A
(2020)
Mapping dark matter and finding filaments: calibration of lensing analysis techniques on simulated data
in Monthly Notices of the Royal Astronomical Society
Katz H
(2019)
Magnetogenesis at Cosmic Dawn: tracing the origins of cosmic magnetic fields
in Monthly Notices of the Royal Astronomical Society
Garzilli A
(2021)
How to constrain warm dark matter with the Lyman-a forest
in Monthly Notices of the Royal Astronomical Society
Barmentloo S
(2023)
Determining satellite infall times using machine learning
in Monthly Notices of the Royal Astronomical Society
Ploeckinger S
(2024)
Resolution criteria to avoid artificial clumping in Lagrangian hydrodynamic simulations with a multiphase interstellar medium
in Monthly Notices of the Royal Astronomical Society
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
McAlpine S
(2020)
Galaxy mergers in eagle do not induce a significant amount of black hole growth yet do increase the rate of luminous AGN
in Monthly Notices of the Royal Astronomical Society
Jennings F
(2023)
Shattering and growth of cold clouds in galaxy clusters: the role of radiative cooling, magnetic fields, and thermal conduction
in Monthly Notices of the Royal Astronomical Society
Borrow J
(2023)
The impact of stochastic modelling on the predictive power of galaxy formation simulations
in Monthly Notices of the Royal Astronomical Society
Irodotou D
(2022)
The effects of AGN feedback on the structural and dynamical properties of Milky Way-mass galaxies in cosmological simulations
in Monthly Notices of the Royal Astronomical Society
Wilkins S
(2023)
First light and reionization epoch simulations (FLARES) XI: [O iii ] emitting galaxies at 5 < z < 10
in Monthly Notices of the Royal Astronomical Society
Trujillo-Gomez S
(2023)
In situ or accreted? Using deep learning to infer the origin of extragalactic globular clusters from observables
in Monthly Notices of the Royal Astronomical Society
Forouhar Moreno V
(2022)
Galactic satellite systems in CDM, WDM and SIDM
in Monthly Notices of the Royal Astronomical Society
Katz H
(2017)
Interpreting ALMA observations of the ISM during the epoch of reionization
in Monthly Notices of the Royal Astronomical Society
Dome T
(2023)
Cosmic web dissection in fuzzy dark matter cosmologies
in Monthly Notices of the Royal Astronomical Society
Porth L
(2021)
Fast estimation of aperture-mass statistics - II. Detectability of higher order statistics in current and future surveys
in Monthly Notices of the Royal Astronomical Society
Hagen S
(2023)
Modelling continuum reverberation in active galactic nuclei: a spectral-timing analysis of the ultraviolet variability through X-ray reverberation in Fairall 9
in Monthly Notices of the Royal Astronomical Society
He J
(2020)
Modelling the tightest relation between galaxy properties and dark matter halo properties from hydrodynamical simulations of galaxy formation
in Monthly Notices of the Royal Astronomical Society
Lovell C
(2021)
First Light And Reionization Epoch Simulations (FLARES) - I. Environmental dependence of high-redshift galaxy evolution
in Monthly Notices of the Royal Astronomical Society
Porth L
(2020)
Fast estimation of aperture mass statistics - I. Aperture mass variance and an application to the CFHTLenS data
in Monthly Notices of the Royal Astronomical Society
Tress R
(2020)
Simulations of the Milky Way's central molecular zone - I. Gas dynamics
in Monthly Notices of the Royal Astronomical Society
Font A
(2021)
Can cosmological simulations capture the diverse satellite populations of observed Milky Way analogues?
in Monthly Notices of the Royal Astronomical Society
Irodotou D
(2021)
Using angular momentum maps to detect kinematically distinct galactic components
in Monthly Notices of the Royal Astronomical Society
Lacerna I
(2018)
Galactic conformity measured in semi-analytic models
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 |