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.
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.
Organisations
Publications
Cuesta-Lazaro C
(2023)
Galaxy clustering from the bottom up: a streaming model emulator I
in Monthly Notices of the Royal Astronomical Society
Hou J
(2021)
How well is angular momentum accretion modelled in semi-analytic galaxy formation models?
in Monthly Notices of the Royal Astronomical Society
He Q
(2022)
Galaxy-galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes
in Monthly Notices of the Royal Astronomical Society
Katsianis A
(2020)
The high-redshift SFR-M* relation is sensitive to the employed star formation rate and stellar mass indicators: towards addressing the tension between observations and simulations
in Monthly Notices of the Royal Astronomical Society
Pizzati E
(2024)
Revisiting the extreme clustering of z ˜ 4 quasars with large volume cosmological simulations
in Monthly Notices of the Royal Astronomical Society
Seeyave L
(2023)
First light and reionization epoch simulations (FLARES) X iii : the lyman-continuum emission of high-redshift galaxies
in Monthly Notices of the Royal Astronomical Society
Lovell C
(2021)
Reproducing submillimetre galaxy number counts with cosmological hydrodynamic simulations
in Monthly Notices of the Royal Astronomical Society
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
Grand R
(2024)
Overview and public data release of the augmented Auriga Project: cosmological simulations of dwarf and Milky Way-mass galaxies
in Monthly Notices of the Royal Astronomical Society
Maitra S
(2022)
Measurement of redshift-space two- and three-point correlation of Lya absorbers at 1.7 < z < 3.5: implications on evolution of the physical properties of IGM
in Monthly Notices of the Royal Astronomical Society
Lofthouse E
(2020)
MUSE Analysis of Gas around Galaxies (MAGG) - I: Survey design and the environment of a near pristine gas cloud at z ˜ 3.5
in Monthly Notices of the Royal Astronomical Society
Bastian N
(2020)
The globular cluster system mass-halo mass relation in the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Tress R
(2020)
Simulations of the star-forming molecular gas in an interacting M51-like galaxy
in Monthly Notices of the Royal Astronomical Society
Bahé Y
(2021)
Strongly lensed cluster substructures are not in tension with ?CDM
in Monthly Notices of the Royal Astronomical Society
Ballabio G
(2023)
[O i ] 6300 Å emission as a probe of external photoevaporation of protoplanetary discs
in Monthly Notices of the Royal Astronomical Society
Ghosh S
(2022)
Age dissection of the vertical breathing motions in Gaia DR2: evidence for spiral driving
in Monthly Notices of the Royal Astronomical Society
Ziampras A
(2024)
Migration of low-mass planets in inviscid discs: the effect of radiation transport on the dynamical corotation torque
in Monthly Notices of the Royal Astronomical Society
Borrow J
(2022)
Sphenix : smoothed particle hydrodynamics for the next generation of galaxy formation simulations
in Monthly Notices of the Royal Astronomical Society
Benitez-Llambay A
(2020)
The detailed structure and the onset of galaxy formation in low-mass gaseous dark matter haloes
in Monthly Notices of the Royal Astronomical Society
Nicholson B
(2024)
HD152843 b & c: the masses and orbital periods of a sub-Neptune and a superpuff Neptune
in Monthly Notices of the Royal Astronomical Society
Collins C
(2023)
3D radiative transfer kilonova modelling for binary neutron star merger simulations
in Monthly Notices of the Royal Astronomical Society
Bourne M
(2024)
Dynamics and spin alignment in massive, gravito-turbulent circumbinary discs around supermassive black hole binaries
in Monthly Notices of the Royal Astronomical Society
Pollin J
(2024)
On the fate of the secondary white dwarf in double-degenerate double-detonation Type Ia supernovae - II. 3D synthetic observables
in Monthly Notices of the Royal Astronomical Society
Frenk C
(2020)
The little things matter: relating the abundance of ultrafaint satellites to the hosts' assembly history
in Monthly Notices of the Royal Astronomical Society
Hassan S
(2020)
Testing galaxy formation simulations with damped Lyman-a abundance and metallicity evolution
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
Chan K
(2022)
Single fluid versus multifluid: comparison between single-fluid and multifluid dust models for disc-planet interactions
in Monthly Notices of the Royal Astronomical Society
Elliott E
(2021)
Efficient exploration and calibration of a semi-analytical model of galaxy formation with deep learning
in Monthly Notices of the Royal Astronomical Society
Thomas N
(2021)
The radio galaxy population in the simba simulations
in Monthly Notices of the Royal Astronomical Society
Campos Estrada B
(2024)
On the likely magnesium-iron silicate dusty tails of catastrophically evaporating rocky planets
in Monthly Notices of the Royal Astronomical Society
Collins C
(2024)
Towards inferring the geometry of kilonovae
in Monthly Notices of the Royal Astronomical Society
Evans T
(2022)
Observing EAGLE galaxies with JWST : predictions for Milky Way progenitors and their building blocks
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
Gómez-Guijarro C
(2020)
How primordial magnetic fields shrink galaxies
in Monthly Notices of the Royal Astronomical Society
Zamyatina M
(2024)
Quenching-driven equatorial depletion and limb asymmetries in hot Jupiter atmospheres: WASP-96b example
in Monthly Notices of the Royal Astronomical Society
Pichon C
(2020)
Why do extremely massive disc galaxies exist today?
in Monthly Notices of the Royal Astronomical Society
Li B
(2020)
Measuring the baryon acoustic oscillation peak position with different galaxy selections
in Monthly Notices of the Royal Astronomical Society
Schreyer E
(2024)
Using helium 10 830 Å transits to constrain planetary magnetic fields
in Monthly Notices of the Royal Astronomical Society
Izquierdo A
(2021)
The Cloud Factory II: gravoturbulent kinematics of resolved molecular clouds in a galactic potential
in Monthly Notices of the Royal Astronomical Society
Chaikin E
(2022)
The importance of the way in which supernova energy is distributed around young stellar populations in simulations of galaxies
in Monthly Notices of the Royal Astronomical Society
Wilkins S
(2022)
First Light and Reionisation Epoch Simulations (FLARES) - VI. The colour evolution of galaxies z = 5-15
in Monthly Notices of the Royal Astronomical Society
Gratton S
(2020)
Understanding parameter differences between analyses employing nested data subsets
in Monthly Notices of the Royal Astronomical Society
Altamura E
(2023)
Galaxy cluster rotation revealed in the MACSIS simulations with the kinetic Sunyaev-Zeldovich effect
in Monthly Notices of the Royal Astronomical Society
Oman K
(2024)
A warm dark matter cosmogony may yield more low-mass galaxy detections in 21-cm surveys than a cold dark matter one
in Monthly Notices of the Royal Astronomical Society
Thomas P
(2023)
First light and reionization epoch simulations ( Flares ) X: environmental galaxy bias and survey variance at high redshift
in Monthly Notices of the Royal Astronomical Society
Smith A
(2022)
A light-cone catalogue from the Millennium-XXL simulation: improved spatial interpolation and colour distributions for the DESI BGS
in Monthly Notices of the Royal Astronomical Society
Wu X
(2020)
Photometric properties of reionization-epoch galaxies in the simba simulations
in Monthly Notices of the Royal Astronomical Society
Salcido J
(2023)
SP(k) - a hydrodynamical simulation-based model for the impact of baryon physics on the non-linear matter power spectrum
in Monthly Notices of the Royal Astronomical Society
Elbakyan V
(2023)
Episodic accretion and mergers during growth of massive protostars
in Monthly Notices of the Royal Astronomical Society
Callingham T
(2022)
The chemo-dynamical groups of Galactic globular clusters
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 |