DiRAC: Memory Intensive 2.5y
Lead Research Organisation:
Durham University
Department Name: Physics
Abstract
Physicists across the astronomy, nuclear and particle physics communities are focussed on understanding how the Universe works at a very fundamental level. The distance scales with which they work vary by 50 orders of magnitude from the smallest distances probed by experiments at the Large Hadron Collider, deep within the atomic nucleus, to the largest scale galaxy clusters discovered out in space. The Science challenges, however, are linked through questions such as: How did the Universe begin and how is it evolving? and What are the fundamental constituents and fabric of the Universe and how do they interact?
Progress requires new astronomical observations and experimental data but also new theoretical insights. Theoretical understanding comes increasingly from large-scale computations that allow us to confront the consequences of our theories very accurately with the data or allow us to interrogate the data in detail to extract information that has impact on our theories. These computations test the fastest computers that we have and push the boundaries of technology in this sector. They also provide an excellent environment for training students in state-of-the-art techniques for code optimisation and data mining and visualisation.
The DiRAC2 HPC facility has been operating since 2012, providing computing resources for theoretical research in all areas of particle physics, astronomy, cosmology and nuclear physics supported by STFC. It is a highly productive facility, generating 200-250 papers annually in international, peer-reviewed journals. However, the DiRAC facility risks becoming uncompetitive as it has remained static in terms of overall capability since 2012. The DiRAC-2.5x investment in 2017/18 mitigated the risk of hardware failures, by replacing our oldest hardware components. However, as the factor 5 oversubscription of the most recent RAC call demonstrated, the science programme in 2019/20 and beyond requires a significant uplift in DiRAC's compute capability. The main purpose of the requested funding for the DiRAC2.5y project is to provide a factor 2 increase in computing across all DiRAC services to enable the facility to remain competitive during 2019/20 in anticipation of future funding for DiRAC-3.
DiRAC2.5y builds on the success of the DiRAC HPC facility and will provide the resources needed to support cutting-edge research during 2019 in all areas of science supported by STFC. While the funding is required to remain competitive, the science programme will continue to be world-leading. Examples of the projects which will benefit from this investment include:
(i) lattice quantum chromodynamics (QCD) calculations of the properties of fundamental particles from first principles;
(ii) improving the potential of experiments at CERN's Large Hadron Collider for discovery of new physics by increasing the accuracy of theoretical predictions for rare processes involving the fundamental constituents of matter known as quarks;
(iii) simulations of the merger of pairs of black holes and which generate gravitational waves such as those recently discovered by the LIGO consortium;
(iv) the most realistic simulations to date of the formation and evolution of galaxies in the Universe;
(v) the accretion of gas onto supermassive black holes, the most efficient means of extracting energy from matter and the engine which drives galaxy evolution; (vi) new models of our own Milky Way galaxy calibrated using new data from the European Space Agency's GAIA satellite; (vii) detailed simulations of the interior of the sun and of planetary interiors; (viii) the formation of stars in clusters - for the first time it will be possible to follow the formation of massive stars.
Progress requires new astronomical observations and experimental data but also new theoretical insights. Theoretical understanding comes increasingly from large-scale computations that allow us to confront the consequences of our theories very accurately with the data or allow us to interrogate the data in detail to extract information that has impact on our theories. These computations test the fastest computers that we have and push the boundaries of technology in this sector. They also provide an excellent environment for training students in state-of-the-art techniques for code optimisation and data mining and visualisation.
The DiRAC2 HPC facility has been operating since 2012, providing computing resources for theoretical research in all areas of particle physics, astronomy, cosmology and nuclear physics supported by STFC. It is a highly productive facility, generating 200-250 papers annually in international, peer-reviewed journals. However, the DiRAC facility risks becoming uncompetitive as it has remained static in terms of overall capability since 2012. The DiRAC-2.5x investment in 2017/18 mitigated the risk of hardware failures, by replacing our oldest hardware components. However, as the factor 5 oversubscription of the most recent RAC call demonstrated, the science programme in 2019/20 and beyond requires a significant uplift in DiRAC's compute capability. The main purpose of the requested funding for the DiRAC2.5y project is to provide a factor 2 increase in computing across all DiRAC services to enable the facility to remain competitive during 2019/20 in anticipation of future funding for DiRAC-3.
DiRAC2.5y builds on the success of the DiRAC HPC facility and will provide the resources needed to support cutting-edge research during 2019 in all areas of science supported by STFC. While the funding is required to remain competitive, the science programme will continue to be world-leading. Examples of the projects which will benefit from this investment include:
(i) lattice quantum chromodynamics (QCD) calculations of the properties of fundamental particles from first principles;
(ii) improving the potential of experiments at CERN's Large Hadron Collider for discovery of new physics by increasing the accuracy of theoretical predictions for rare processes involving the fundamental constituents of matter known as quarks;
(iii) simulations of the merger of pairs of black holes and which generate gravitational waves such as those recently discovered by the LIGO consortium;
(iv) the most realistic simulations to date of the formation and evolution of galaxies in the Universe;
(v) the accretion of gas onto supermassive black holes, the most efficient means of extracting energy from matter and the engine which drives galaxy evolution; (vi) new models of our own Milky Way galaxy calibrated using new data from the European Space Agency's GAIA satellite; (vii) detailed simulations of the interior of the sun and of planetary interiors; (viii) the formation of stars in clusters - for the first time it will be possible to follow the formation of massive stars.
Planned Impact
The anticipated impact of the DiRAC2.5y HPC facility aligns closely with the recently published UK Industrial Strategy. As such, many of our key impacts will be driven by our engagements with industry. Each service provider for DiRAC2.5y has a local industrial strategy to deliver increased levels of industrial returns over the next three years. The "Pathways to impact" document which is attached to the lead (Leicester) proposal describes the overall industrial strategy for the DiRAC facility, including our strategic goals and key performance indicators.
Organisations
Publications
Appleby S
(2023)
Mapping circumgalactic medium observations to theory using machine learning
in Monthly Notices of the Royal Astronomical Society
Huang J
(2023)
Global 3D Radiation Magnetohydrodynamic Simulations of Accretion onto a Stellar-mass Black Hole at Sub- and Near-critical Accretion Rates
in The Astrophysical Journal
Galbiati M
(2024)
MUSE Analysis of Gas around Galaxies (MAGG) VI. The cool and enriched gas environment of z ? 3 Ly a emitters
in Astronomy & Astrophysics
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
Khrykin I
(2024)
The cosmic baryon partition between the IGM and CGM in the SIMBA simulations
in Monthly Notices of the Royal Astronomical Society
Carrillo A
(2024)
Can we really pick and choose? Benchmarking various selections of Gaia Enceladus/Sausage stars in observations with simulations
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
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
Pakmor R
(2024)
Magnetic field amplification in cosmological zoom simulations from dwarf galaxies to galaxy groups
in Monthly Notices of the Royal Astronomical Society
Bennett J
(2024)
The growth of the gargantuan black holes powering high-redshift quasars and their impact on the formation of early galaxies and protoclusters
in Monthly Notices of the Royal Astronomical Society
Witten C
(2024)
Deciphering Lyman-a emission deep into the epoch of reionization
in Nature Astronomy
Aurrekoetxea JC
(2024)
Effect of Wave Dark Matter on Equal Mass Black Hole Mergers.
in Physical review letters
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
Huško F
(2024)
Winds versus jets: a comparison between black hole feedback modes in simulations of idealized galaxy groups and clusters
in Monthly Notices of the Royal Astronomical Society
Kugel R
(2024)
The FLAMINGO project: a comparison of galaxy cluster samples selected on mass, X-ray luminosity, Compton-Y parameter, or galaxy richness
in Monthly Notices of the Royal Astronomical Society
Ibrahim D
(2024)
The impact of supernova feedback on the mass-metallicity relations
in Monthly Notices of the Royal Astronomical Society
Garg P
(2024)
Theoretical Strong-line Metallicity Diagnostics for the JWST Era
in The Astrophysical Journal
Sante A
(2024)
Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?
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
Towler I
(2024)
Inferring the dark matter splashback radius from cluster gas and observable profiles in the FLAMINGO simulations
in Monthly Notices of the Royal Astronomical Society
Cui W
(2024)
The HYENAS project: a prediction for the X-ray undetected galaxy groups
in Monthly Notices of the Royal Astronomical Society
Choustikov N
(2024)
The Physics of Indirect Estimators of Lyman Continuum Escape and their Application to High-Redshift JWST Galaxies
in Monthly Notices of the Royal Astronomical Society
Ruan C
(2024)
An emulator-based halo model in modified gravity - I. The halo concentration-mass relation and density profile
in Monthly Notices of the Royal Astronomical Society
Hoy C
(2024)
bilby in space: Bayesian inference for transient gravitational-wave signals observed with LISA
in Monthly Notices of the Royal Astronomical Society
Hamilton E
(2024)
Catalog of precessing black-hole-binary numerical-relativity simulations
in Physical Review D
