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DiRAC 2.5y - Networks and Data Management

Lead Research Organisation: UNIVERSITY COLLEGE LONDON
Department Name: Physics and Astronomy

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 amnwhich 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 this proposal describes the overall industrial strategy for the DiRAC facility, including our strategic goals and key performance indicators.

Publications

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Madar M (2024) Predictions for the abundance and clustering of H a emitting galaxies in Monthly Notices of the Royal Astronomical Society

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Mak M (2024) 3D simulations of TRAPPIST-1e with varying CO2, CH4, and haze profiles in Monthly Notices of the Royal Astronomical Society

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Manzoni G (2024) The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation in Monthly Notices of the Royal Astronomical Society

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Maunder T (2024) Synthetic light curves and spectra from a self-consistent 2D simulation of an ultra-strippped supernova in Monthly Notices of the Royal Astronomical Society

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Merrow A (2024) Did the Gaia Enceladus/Sausage merger form the Milky Way's bar? in Monthly Notices of the Royal Astronomical Society

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Morison A (2024) Effects of stratification on overshooting and waves atop the convective core of M? main-sequence stars in Monthly Notices of the Royal Astronomical Society

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Murtas G (2024) Kink Instability of Flux Ropes in Partially Ionized Plasmas in The Astrophysical Journal

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Nasir F (2024) Deep learning the intergalactic medium using Lyman-alpha forest at 4 = z = 5 in Monthly Notices of the Royal Astronomical Society

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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

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Nightingale J (2024) Scanning for dark matter subhaloes in Hubble Space Telescope imaging of 54 strong lenses in Monthly Notices of the Royal Astronomical Society

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Nobels F (2024) Tests of subgrid models for star formation using simulations of isolated disc galaxies in Monthly Notices of the Royal Astronomical Society

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Owens A (2024) ExoMol line lists - LVIII. High-temperature molecular line list of carbonyl sulphide (OCS) in Monthly Notices of the Royal Astronomical Society

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Pakmor R (2024) Magnetic field amplification in cosmological zoom simulations from dwarf galaxies to galaxy groups in Monthly Notices of the Royal Astronomical Society

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Penzlin A (2024) Viscous circumbinary protoplanetary discs - I. Structure of the inner cavity in Monthly Notices of the Royal Astronomical Society

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Petrovic H (2024) Material transport in protoplanetary discs with massive embedded planets in Monthly Notices of the Royal Astronomical Society

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Pizzati E (2024) Revisiting the extreme clustering of z ˜ 4 quasars with large volume cosmological simulations in Monthly Notices of the Royal Astronomical Society

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Pizzati E (2024) A unified model for the clustering of quasars and galaxies at z ˜ 6 in Monthly Notices of the Royal Astronomical Society

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Prathaban M (2024) Costless correction of chain based nested sampling parameter estimation in gravitational wave data and beyond in Monthly Notices of the Royal Astronomical Society

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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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Raste J (2024) The 21-cm bispectrum from neutral hydrogen islands at z < 6 in Monthly Notices of the Royal Astronomical Society

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Ratnasingam R (2024) On the Geometry of the Near-core Magnetic Field in Massive Stars in The Astrophysical Journal Letters

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Regos E (2024) Percolation Statistics in the MillenniumTNG Simulations in The Astrophysical Journal

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Rey M (2024) Boosting galactic outflows with enhanced resolution in Monthly Notices of the Royal Astronomical Society

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Rizzuti F (2024) Shell mergers in the late stages of massive star evolution: new insight from 3D hydrodynamic simulations in Monthly Notices of the Royal Astronomical Society

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Robinson A (2025) The effect of radiation pressure on the dispersal of photoevaporating discs in Monthly Notices of the Royal Astronomical Society

 
Title Collaboration with Atempo 
Description Tape to Tape data transfter between DiRAC sites. 
Type Of Technology Software 
Year Produced 2019 
Open Source License? Yes  
Impact Proof of COncept that data could be read from Tape stores remotely via a remote file system 
 
Title Fast Network Links for Durham and Cambridge Univeristies 
Description The Universeities and Cambridge are now linked by a highly performant Network 
Type Of Technology Physical Model/Kit 
Year Produced 2019 
Impact Both HEIs are able to ingest data at a faster rate 
 
Description Member of UKRI E-Infrastructure Expert Panel 2017-2019 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact Created 7 white papers for UKRI which detailed a Roadmap for future e-Infrastructure funding in the UK
Year(s) Of Engagement Activity 2017,2018,2019