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
Lovell C
(2022)
An orientation bias in observations of submillimetre galaxies
in Monthly Notices of the Royal Astronomical Society
Davé R
(2020)
Galaxy cold gas contents in modern cosmological hydrodynamic simulations
in Monthly Notices of the Royal Astronomical Society
Zarrouk P
(2022)
Preliminary clustering properties of the DESI BGS bright targets using DR9 Legacy Imaging Surveys
in Monthly Notices of the Royal Astronomical Society
Pfeffer J
(2023)
Globular cluster metallicity distributions in the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Cataneo M
(2022)
The matter density PDF for modified gravity and dark energy with Large Deviations Theory
in Monthly Notices of the Royal Astronomical Society
Bennett J
(2020)
Resolving shocks and filaments in galaxy formation simulations: effects on gas properties and star formation in the circumgalactic medium
in Monthly Notices of the Royal Astronomical Society
Zenocratti L
(2022)
The origin of correlations between mass, metallicity, and morphology in galaxies from the eagle simulation
in Monthly Notices of the Royal Astronomical Society
Young A
(2021)
Chemical signatures of a warped protoplanetary disc
in Monthly Notices of the Royal Astronomical Society
Wilson B
(2022)
A measurement of the Ly Ă forest power spectrum and its cross with the Ly a forest in X-Shooter XQ-100
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
Orkney M
(2023)
Exploring the diversity and similarity of radially anisotropic Milky Way-like stellar haloes: implications for disrupted dwarf galaxy searches
in Monthly Notices of the Royal Astronomical Society
Hughes M
(2020)
The [a/Fe]-[Fe/H] relation in the E-MOSAICS simulations: its connection to the birth place of globular clusters and the fraction of globular cluster field stars in the bulge
in Monthly Notices of the Royal Astronomical Society
Richings A
(2021)
Unravelling the physics of multiphase AGN winds through emission line tracers
in Monthly Notices of the Royal Astronomical Society
Robson D
(2023)
Redshift evolution of galaxy group X-ray properties in the Simba simulations
in Monthly Notices of the Royal Astronomical Society
Katsianis A
(2021)
The specific star formation rate function at different mass scales and quenching: a comparison between cosmological models and SDSS
in Monthly Notices of the Royal Astronomical Society
Dobbs C
(2022)
The formation of massive stellar clusters in converging galactic flows with photoionization
in Monthly Notices of the Royal Astronomical Society
Jahns-Schindler J
(2023)
How limiting is optical follow-up for fast radio burst applications? Forecasts for radio and optical surveys
in Monthly Notices of the Royal Astronomical Society
Matsumoto J
(2021)
Magnetic inhibition of the recollimation instability in relativistic jets
in Monthly Notices of the Royal Astronomical Society
Dillamore A
(2022)
Merger-induced galaxy transformations in the artemis simulations
in Monthly Notices of the Royal Astronomical Society
Vijayan A
(2024)
First Light And Reionisation Epoch Simulations (FLARES) - XII: The consequences of star-dust geometry on galaxies in the EoR
in Monthly Notices of the Royal Astronomical Society
Hough R
(2023)
SIMBA - C : an updated chemical enrichment model for galactic chemical evolution in the SIMBA simulation
in Monthly Notices of the Royal Astronomical Society
RodrĂguez Montero F
(2024)
The impact of cosmic rays on the interstellar medium and galactic outflows of Milky Way analogues
in Monthly Notices of the Royal Astronomical Society
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
Wijers N
(2020)
The warm-hot circumgalactic medium around EAGLE-simulation galaxies and its detection prospects with X-ray and UV line absorption
in Monthly Notices of the Royal Astronomical Society
Shingles L
(2022)
Modelling the ionization state of Type Ia supernovae in the nebular phase
in Monthly Notices of the Royal Astronomical Society
Clarke C
(2020)
Forbidden line diagnostics of photoevaporative disc winds
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
Dymott R
(2023)
Linear and non-linear properties of the Goldreich-Schubert-Fricke instability in stellar interiors with arbitrary local radial and latitudinal differential rotation
in Monthly Notices of the Royal Astronomical Society
Broxterman J
(2024)
The FLAMINGO project: baryonic impact on weak gravitational lensing convergence peak counts
in Monthly Notices of the Royal Astronomical Society
Agertz O
(2020)
EDGE: the mass-metallicity relation as a critical test of galaxy formation physics
in Monthly Notices of the Royal Astronomical Society
Harnois-DĂ©raps J
(2023)
mglens : Modified gravity weak lensing simulations for emulation-based cosmological inference
in Monthly Notices of the Royal Astronomical Society
Brown S
(2022)
Towards a universal model for the density profiles of dark matter haloes
in Monthly Notices of the Royal Astronomical Society
Santos-Santos I
(2020)
Baryonic clues to the puzzling diversity of dwarf galaxy rotation curves
in Monthly Notices of the Royal Astronomical Society
Hill A
(2021)
The morphology of star-forming gas and its alignment with galaxies and dark matter haloes in the EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
Coates L
(2021)
Observing relativistic features in large-scale structure surveys - II. Doppler magnification in an ensemble of relativistic simulations
in Monthly Notices of the Royal Astronomical Society
Smith G
(2020)
The distribution of dark matter and gas spanning 6 Mpc around the post-merger galaxy cluster MS 0451-03
in Monthly Notices of the Royal Astronomical Society
Astoul A
(2022)
The effects of non-linearities on tidal flows in the convective envelopes of rotating stars and planets in exoplanetary systems
in Monthly Notices of the Royal Astronomical Society
Herrington N
(2024)
Magnetic fields in star-forming environments: how does field strength affect gas on spiral arm and cloud scales?
in Monthly Notices of the Royal Astronomical Society
Koudmani S
(2022)
Two can play at that game: constraining the role of supernova and AGN feedback in dwarf galaxies with cosmological zoom-in simulations
in Monthly Notices of the Royal Astronomical Society
Kirchschlager F
(2024)
From total destruction to complete survival: dust processing at different evolutionary stages in the supernova remnant Cassiopeia A
in Monthly Notices of the Royal Astronomical Society
Orkney M
(2021)
EDGE: two routes to dark matter core formation in ultra-faint dwarfs
in Monthly Notices of the Royal Astronomical Society
Kwan J
(2024)
Revisiting the effects of baryon physics on small-scale redshift space distortions
in Monthly Notices of the Royal Astronomical Society
Trayford J
(2020)
Massive low-surface-brightness galaxies in the eagle simulation
in Monthly Notices of the Royal Astronomical Society
Kukstas E
(2020)
Environment from cross-correlations: connecting hot gas and the quenching of galaxies
in Monthly Notices of the Royal Astronomical Society
Smith A
(2021)
Reducing the variance of redshift space distortion measurements from mock galaxy catalogues with different lines of sight
in Monthly Notices of the Royal Astronomical Society
Armijo J
(2024)
A new test of gravity - II. Application of marked correlation functions to luminous red galaxy samples
in Monthly Notices of the Royal Astronomical Society
Liu Y
(2024)
The mass accretion history of dark matter haloes down to Earth mass
in Monthly Notices of the Royal Astronomical Society
Welsh L
(2021)
The stochastic enrichment of Population II stars
in Monthly Notices of the Royal Astronomical Society
Ferlito F
(2024)
Ray-tracing versus Born approximation in full-sky weak lensing simulations of the MillenniumTNG project
in Monthly Notices of the Royal Astronomical Society
Coulton W
(2020)
Weak lensing minima and peaks: Cosmological constraints and the impact of baryons
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 |