On Monday the 2nd of September Mellanox gave a short presentation about their Bluefield systems.
Recording can be found here:
https://mellanox.box.com/s/zbx6y6mhhcjfm6w9hs4frujl1s4a8tlb
SW download:
SW UM:
https://docs.mellanox.com/display/BlueFieldSWv21010924
Mellanox community and doc:
This final module of the Essentials Level training programme aims to help you learn best practices to efficiently compile and run jobs on DiRAC’s specific HPC systems. The general workflow for all systems is similar, however, some machines require specific settings. Therefore, we refer to the individual documentation pages of our different systems. It isn’t necessary to go through all the manuals and we advise you to pick a system and go through the routine of compiling and running a job that is relevant to you.
Data Intensive Service: Cambridge (Service for Data Driven Discovery (CSD3))
Data Intensive Service: Leicester
Memory Intensive Service: Durham (COSMA)
Training Forum
If you have any questions you would like to ask us, or your colleagues, about the training in this module why not take a look at our Training Forum. You can post a brand new question or you may find your question has already been answered…
In the standard model of particle physics, there are six types of quarks whimsically called up u, down d, strange s, charm c, bottom b and top t in order of increasing mass. These bind together to form two classes of hadrons, mesons consisting of a quark – antiquark pair and baryons with three quarks. An example of a baryon is the proton (uud) while examples of mesons are the pion (ud), kaon (us), B (ub) and Bs (sb). These mesons decay to a lepton (usually the electron) and a neutrino. The decays are parametrised by ‘meson decay constants’, from which, together with experimentally determined leptonic decay rates elements of the CKM matrix can be found. These are fundamental parameters of the Standard Model and their determination can help to isolate possible new physics. Presently recent B physics experiments have left us with a number of heavy flavour physics puzzles which will be more intensively investigated by Belle II.
In our Lattice QCD programme we have developed a method by expanding about a point in the light quark mass parameter space where the u, d, s quark masses are initially set equal, and then extrapolating to the physical quark masses while keeping the average quark mass constant. The original expansions were for hadron masses, and lead to a ‘fan’ plot where the different hadron masses radiate from their common point. They were extended to decay constants for the pion and kaon mesons, [1], as shown in the left panel of the figure. We have now further extended this programme to the heavier quark masses and in particular the b, [2]. In the right panel of the figure we give the equivalent plot for the B and Bs mesons, together with the present (FLAG16) values.
[1] V.G. Bornyakov et al., Phys. Lett. B 767 (2017) 366.
[2] S. Hollitt et al., PoS(LATTICE2018)268, arXiv:1811.06677 [hep-lat].
The Advanced LIGO and Virgo detectors were undergoing an upgrade during 2018, so the year was devoted to completing analyses of data from the first two observing runs (O1 and O2), and preparations for the third observing run (O3), due to start in April 2019.
The chief results from the LIGO and Virgo collaborations were the final estimates of the physical properties of the binary-neutron-star merger, GW170817, including stronger constraints on the neutron star tidal deformability, and therefore its equation of state and radius; and the release of the first catalogue of observations from O1 and O2, based on a re-analysis of all data, which in turn had undergone improved characterisation and cleansing. This re-analysis uncovered new signals in the data, and doubled the number of observed black hole binary mergers from five to ten. This included re-classifying the marginal “LIGO-Virgo transient” from October 12, 2015 as a bona-fide GW signal, and among the new signals, GW170729, which is likely the most massive binary yet observed, at around 85 solar masses. All of this work used the waveform models that were calibrated to numerical-relativity simulations performed on DiRAC.
Modelling work also continued. The first inspiral-merger-ringdown model to include higher signal harmonics (PhenomHM) was published in Physical Review Letters, and is now being used to update the measurements of the properties of GW170729. The bulk of the most extensive and systematic set of simulations of precessing binaries was completed on Cosma6, and a preliminary model of the precession effects through merger and ringdown (the first of its kind) was completed, with publication expected in 2019, for use in analysis of O3 observations.
Molecular spectra play a critical role for the retrieval of atmospheres of exoplanets and cool starts. However, the lack of laboratory data on many of molecular species severely limits models for objects as diverse as Jupiter, exoplanets and brown dwarfs. The UCL ExoMol team is world leader in providing molecular line lists for exoplanet and other hot atmospheres. The ExoMol procedure uses a mixture of ab initio calculations and available laboratory data. These line lists form the input for opacity models for cool stars and brown dwarfs as well as for radiative transport models involving exoplanets. So far ExoMol has collected molecular opacities for more than 50 molecules (130 isotopologues): 30 line lists have been generated using the ExoMol methodology and other line lists were taken from external sources or from our work predating the ExoMol project.
Ethylene and Acetylene are important absorber in hot Jupiter exoplanets, brown dwarfs and cool carbon stars. As part of our Hydrocarbons DiRAC project, we have new line lists for these molecules, each of which contain over 30 billion transitions. In order to accomplish this data intensive task, some of the UK’s most advanced supercomputers have been used, provided by the DiRAC project. Even larger line lists have been completed. For example, the methyl chloride’s line list contains over 300 billion lines.
Many of those exoplanets discovered thus far are categorized as rocky objects with an atmosphere. Most of these objects are however hot due to their short orbital period. Models suggest that water is the dominant species in their atmospheres. The hot temperatures are expected to turn these atmospheres into a (high pressure) steam bath containing remains of melted rock. The spectroscopy of these hot rocky objects will be very different from that of cooler objects or hot gas giants. Molecules suggested to be important for the spectroscopy of these objects are reviewed together with the current status of the corresponding spectroscopic data. We have started building a comprehensive database of linelist/cross sections applicable for atmospheric models of rocky super-Earths as part of the ExoMol project.
An efficient usage of line lists comprising billions of lines is extremely challenging. To address this challenge of Big Data, we have developed a new Fortran 2003 program ExoCross. ExoCross takes line lists as input and returns pressure- and temperature-dependent cross sections as well a variety of other derived molecular properties which depend on the underlying spectroscopic data. These include state-dependent lifetimes, temperature-dependent cooling functions, and thermodynamic properties such as partition functions and specific heats and is designed to work with the recently proposed method of super-lines. It is capable of simulating non-LTE spectra using a simple two-temperature approach.
Supported by the DiRAC high performance facilities, we have organised and run a workshop “Digital Exoplanets” in Prague, January 2019 (www.digitalexoplanets.org). The workshop gathered over 50 computational exoplanetary scientists (with more than half career researchers) and focused on the data for atmospheric models of exoplanets and cool stars. The main theme of the workshop was the open access to the data and computer codes. This was the first workshops of this kind, focusing not only on observations and theory, but mostly on ‘how to actually run these codes’. The participants had the opportunity to learn how to use (install, run, debug etc) different main stream atmospheric and spectroscopic codes during the hands-on sessions, which were the central part of the workshop. These practical sessions were run on the resources provided by DiRAC team, with the help of the DiRAC team, which is greatly appreciated.
One of the great challenges in the study of planetary interiors is to understand the generation of magnetic fields in the interiors of the giant gas planets. Wieland Dietrich and Chris Jones from the University of Leeds have been addressing this problem through high resolution magnetohydrodynamic models, with the novel feature of incorporating realistic radially-dependent profiles for the electrical conductivity (Icarus 305 (2018) 15-32). This allows the study of a range of models in which the conductivity ranges from Jupiter-like, with only a thin outer non-conducting shell to Saturn-like, with a thick non-conducting shell. They find Jupiter-like steady dipolar fields, quadrupolar dynamos for profiles between those of Jupiter and Saturn, and dipolar fields again for Saturn-like profiles. The non-axisymmetric components of the Saturn model are, though, more pronounced than in Saturn itself, prompting the suggestion that a stably stratified region – postulated to exist in Saturn, but not yet incorporated in the model – may be of significance.
Since their discovery in the 1990s our knowledge of extra-solar planets has increased at a staggering rate, and we now know that most, perhaps all, stars host planetary systems. These planets form in cold discs of dust and gas around young stars, and in recent years our observations of these protoplanetary discs have also advanced dramatically. We typically treat planet-forming discs as flat, smooth structures but recent observations have revealed a wealth of sub-structures in these discs, including spiral arms, gaps, misalignments and warps. While we can explain the origin of some of these features, many are still open questions. One of the best-studied protoplanetary discs is around the nearby star TW Hya, and this almost face-on disc shows evidence of gaps (possibly due to planets) as well as a localised dark region in the outer disc. Observations with the Hubble Space Telescope found that this dark region is moving around the outer disc, but it is seen to move much more quickly than gas orbits at that radius. This strongly suggests that the dark region is actually a shadow cast by something in the inner disc (where the gas orbits faster). This was interpreted as evidence of a disc warp, such that the inner part of the disc is inclined with respect to the outer disc. The relative misalignment between the inner and outer disc then results in a shadow being cast on the outer disc. Such a configuration could be caused if a misaligned planet is present in this system, where the planets orbit is tilted away from the mid-plane of the disc. The motion of the inner, tilted disc and hence the shadow would thus be governed by the gravity of this misaligned planet, and it might be possible to infer properties of the planet from the observed shadow.
Simulating such a configuration is technically challenging, because we need to resolve the out-of-plane interactions between the disc and the planet, as well as including the influence of the outer disc. In practice this requires high resolution 3-D hydrodynamic simulations covering a large dynamic range. Using DiRAC, we were able to run a suite of simulations to study the interaction between misaligned planets and their parent discs in detail, investigating the importance of different planet masses and inclinations on the subsequent disc structure. For planets that were massive enough to carve the disc into an inner disc and an outer disc (as seen in Fig.1), we confirmed it was possible to drive the configuration predicted from the observations of TW Hya. Importantly, the large spatial scales we were able to simulate allowed us to show that this was possible even for small planet inclinations. We subsequently ran detailed radiative transfer simulations to calculate how our simulated discs would appear to our telescopes, and confirmed that such a configuration is broadly consistent with what is observed in TW Hya. New observations are finding that misalignments of this type are common in planet-forming discs, and in the coming years DiRAC will allow us to understand the dynamics and evolution of these nascent planetary systems in detail.
The COSMOS consortium (dp002) continues to exploit DiRAC HPC Facilities and has made progress towards ambitious sciences in extreme gravity, inflation and the early universe, the study of the cosmic microwave sky and large-scale structure (including the Final Data Release for the ESA Planck satellite). Here, we highlight recent breakthroughs in general relativistic simulations of black holes and inflation using GRChombo, a flexible AMR numerical relativity code publicly released by COSMOS consortium members in early 2018 (see grchombo.org and github.com/GRChombo).
The groundbreaking discovery of a gravitational signal from a binary black hole merger in 2016 by LIGO is now followed by an exciting series of detections, including that of the first neutron star binary merger in 2018. With the current LIGO/VIRGO O3 science run with upgraded detectors detecting multiple events weekly, the new era of gravitational wave astronomy is well underway.
The GRChombo AMR code, originally developed and now anchored by COSMOS consortium members, is well-placed to exploit these new observations of gravitational waves (GWs). We have continued our long-standing industrial collaboration through the COSMOS Intel Parallel Computing Centre (IPCC) to modernize our research codes in cosmology and general relativity, focusing on the optimization of GRChombo for multi/many-core systems; for example, GRChombo is one of the few codes that can take full advantage of the many-core Xeon Phi systems. In addition, GRChombo continues to grow in functional capabilities, with the addition of a powerful MultiGrid initial conditions solver and the pioneering many-core OSPRay realtime ray tracer and volume renderer with in-situ capabilities (supported by the Intel Viz team).
The advent of GW astronomy has opened up a window into the one of the key questions in modern cosmology about the nature of dark matter. COSMOS investigators are taking a leading role in this search. One of the prime candidates for dark matter is an ultralight field which are sometimes called “axion-like particles” or ALPs. In recent papers (notably arXiv:1609.04724 and arXiv:1806.09367), we have investigated the formation of highly compact “axion dark stars” from these light fields, and the potential GW signals created by their collisions with neutron stars and black holes (arXiv:1808.04668, shown in the figure below), and with other axion stars (arXiv:1802.06733). In (arXiv:1904.12783), we showed that these fields can also interact directly with black holes to grow “scalar hair”, leading to a possibly detectable dephasing of the GW signals from BH binary mergers.
Beyond GW astronomy, COSMOS consortium investigators are also leading in the numerical study of fundamental questions in physics. For example, while inflation is now the paradigmatic theory of the early universe, providing a dynamical mechanism to explain why the universe is homogenous over cosmological scales and provide a source of the seeds of large scale structure. Nevertheless, can inflation begin in the first place, if the initial conditions are not homogenous? In recent work (e.g. arXiv:1712.07352), we classified the models of inflation which are not robust to inhomogenous initial conditions. Intriguingly, we found that low scale inflation – preferred by many string theory phenomenological models – is not robust, failing to inflate in the presence of large scale but subdominant inhomogeneities.
In addition, we continue to take the lead in investigating the nature of gravity in higher dimensions. Following our work in showing the failure of weak cosmic censorship in 5D due to black ring instabilities, we continue to study the end states of higher dimensional rotating (Myers-Perry) black holes. We find that, similarly to the black ring systems, these black holes exhibit the Gregory-Laflamme instability, leading to a fractal instability with the ultimate end state likely to exhibit naked singularities in an asymptotically flat space time (shown above). Given these results in extra dimensions, it is clear that, if cosmic censorship is indeed true, then it must be a property specific to the three-dimensional space that we live in; without this essential property, Einstein’s theory of general relativity could lose its predictive power.
We have produced the highest resolution simulations of the giant impact that is thought to have knocked Uranus’ spin axis into the plane of the solar system. The two orders of magnitude increase in resolution was enabled by our use of the SWIFT hydrodynamics and gravity code on the DiRAC facility in Durham. We incorporated equations of state for various different materials into SWIFT, which has primarily been designed for cosmological applications. The high-resolution simulation of this planetary giant impact shows features that are entirely absent from previous smaller calculations. For instance after the initial impact, the subsequent sloshing around of the system can be sufficiently vigorous to unbind some of the icy mantle from the proto-Uranus – an effect that was not seen in earlier million-particle simulations. Determining what material was placed into orbit as a result of this impact is crucial for deciding if the currently observed Uranian satellites could have formed from this debris. Again, the higher resolution simulations now allow us to make reliable predictions for this. These represent the first scientific results with the SWIFT code, and demonstrate how it will open up new ways to constrain models of planetary giant impacts relevant to most bodies in the solar system.
This calculation used the Dell 940 system with four Intel skylake with 112 cores. This system was provided by Intel and Dell as a proof-of-concept system as part of the Dell/Intel and DiRAC@Durham industrial engagement at list price of approximately £100k.
Clusters of galaxies collapse from the densest regions of the early Universe to become the largest objects in existence by the present day. Their unparalleled sizes make them powerful tools to probe the growth of large-scale structure and further our understanding of cosmology. At the same time, clusters represent unique astrophysical playgrounds in which galaxies interact with each other and with the intracluster gas, which itself is churned up by the powerful energy output of supermassive black holes. This process, known as AGN feedback, stems from black holes at the centres of galaxies swallowing gas, converting it into outflows of energy and impacting not only their galaxy, but also the surrounding intracluster medium millions of light-years away.
The inclusion of AGN feedback in cosmological hydrodynamical simulations of galaxy formation has proven to be a key ingredient for producing realistic galaxies in a representative region of the universe. Projects such as the Illustris simulation have met with great success in this area and thus have made great strides in our understanding of galaxy formation and evolution, as well as guiding observations. Yet whilst this model matches a wide range of observed galaxy properties, it struggles to reproduce other important properties of galaxy clusters and groups such as the contents of the intracluster medium.
With the FABLE project we have built upon the success of Illustris by improving the models for feedback from AGN and stars so that we can simultaneously produce realistic galaxies, groups and clusters, thereby completing our picture of the Universe across this vast range of scales. Consisting of high-resolution simulations of more than thirty groups and clusters performed with the state-of-the-art moving-mesh code AREPO, FABLE reproduces a number of important observables such as the build-up of stars in galaxies and the thermodynamic properties of the intracluster medium.
FABLE further reproduces a range of integrated cluster properties and their interdependencies as represented via the oft-studied cluster scaling relations. These relations are vital for the cosmological interpretation of observed cluster data, the availability of which is set to be greatly expanded by numerous ongoing and future surveys, for example with observations of the Sunyaev-Zel’dovich effect via SPT-3G and ACTpol or in X-rays with the eROSITA and Athena observatories. Yet as larger cluster surveys beat down the statistical uncertainties, we are increasingly limited by our incomplete understanding of cluster physics and its impact on the cluster scaling relations, which are required to link cluster observables to their fundamental masses.
Cosmological hydrodynamical simulations are in a unique position to quantify these effects and thereby facilitate the use of clusters as precise cosmological probes. Indeed, careful comparison of our results with observed scaling relations hints towards a non-negligible bias in observational studies that attempt to measure the masses of clusters from their X-ray emission under simplifying assumptions about the clusters’ dynamical state.
Furthermore, the increased size and depth of future surveys means that many new clusters will lie at vast distances from which their detectable emission may have taken many billions of years to reach us. This means it is vital to understand how the cluster scaling relations change over time so that they can be applied reliably to the most distant objects in upcoming datasets. While current observations are severely limited in their ability to constrain such evolution, simulations allow us to study the scaling relations for a well-defined sample of objects over the whole history of the Universe. Upcoming results from FABLE demonstrate a significant departure of the evolution of the relations from the simple model typically assumed in observational studies, which has important implications for interpreting the incoming wealth of new cluster data.
Dwarf galaxies, the least massive galaxies in the Universe, are the smallest building blocks of the cosmic structure formation process. They are interesting cosmological probes, as there are a number of apparent discrepancies when comparing observations of dwarf galaxies with the predictions of structure formation models. For example, the large disparity in the number of observed dwarfs with respect to the predicted number of dark matter haloes that may be hosting these systems (the missing satellite problem) or the lack of observed massive dwarf galaxies (the too-big-to-fail problem). Some have suggested that these issues could be resolved by changing our models of dark matter, which provides the skeleton for cosmic structure formation. Others argue that the focus should be on improving our models of the luminous, ‘baryonic’ matter that we can observe directly.
One of the most important baryonic processes, reionization, stems from the radiation produced by the first galaxies in the Universe. This radiation shuts down star formation in the low-mass dwarf galaxies rendering them undetectable. For the more massive dwarf galaxies it has been suggested that violent stellar explosions – supernovae (SNe) – could shut down star formation, however this remains controversial. Most simulations indicate that another ingredient would be needed for the theoretical models to explain the sparsity of massive dwarf galaxies in our Universe.
Recently, it has been proposed that active galactic nuclei (AGN) – actively-accreting massive black holes – might be this missing ingredient. Previously, theorists did not include AGN in their simulations of dwarf galaxies as these were only observed in more massive galaxies. However, the systematic analysis of optical surveys has revealed a population of dwarf galaxies hosting AGN, which have been confirmed by X-ray follow-up observations. All of these AGN are extremely luminous relative to their black hole mass and are likely only the tip of the iceberg. There has also been some first evidence of direct AGN feedback from the MaNGA survey, which identified six dwarf galaxies that appear to have an AGN that is preventing on-going star formation. These observational results are very exciting as they suggest that AGN may be able to solve the too-big-to-fail problem.
It is therefore timely to study the physical properties of dwarf galaxies, in particular whether the presence of an AGN can affect their evolution. Using the moving mesh code arepo, we have investigated different models of AGN activity, ranging from simple energy-driven spherical winds to collimated, mass-loaded, bipolar outflows in high resolution simulations of isolated dwarf galaxies hosting an active black hole. Our simulations also include a novel implementation of star formation and mechanical SN feedback.
Figure 1 shows the visuals of our simulation suite. Here, edge-on projections of surface density, temperature, vertical velocity and metallicity at t = 300 Myr are plotted. The control runs with neither SN nor AGN feedback (’NoFeedback’ runs) do not produce any outflows. With added SN feedback, we obtain relatively cold and slow-moving outflows. When we also include AGN activity in our simulations, the outflows are much faster as well as much more energetic, reaching temperatures of up to 10 9 K.
These results provide tantalizing evidence that the observed correlation between large kinematic offsets and AGN activity may be due to high-velocity AGN-driven outflows (see Figure 2 for an example of the different line-of-sight velocity maps observed with MaNGA). In our simulations, the same correlation arises because only the AGN-driven gas outflows are fast enough to alter the velocity patterns set by the rotational motion of the galaxy. The relatively slow-moving supernova-driven outflows on the other hand do not offset the rotational motion of the gas so that it stays aligned with the stars (see Figure 3, left panel). This then results in a significant difference between the kinematic position angles (PAs) of stars and gas for dwarf galaxies hosting AGN (see Figure 3, right panel).
We also investigated the effects of these AGN-driven outflows on star formation and found that AGN activity has a small but systematic effect on the central star formation rates (SFRs) for all set-ups explored, while substantial effects on the global SFR are only obtained with strong SNe and a sustained high-luminosity AGN with an isotropic wind. Our findings from the isolated galaxy set-up therefore indicate that AGN are unlikely to directly affect global dwarf SFRs. However, in realistic cosmological environments inflows are known to be important especially for
high-redshift dwarfs. It is hence possible that AGN-boosted outflows may prevent some of this cosmic ‘pristine’ gas reaching the dwarfs in the first place, providing a mechanism for indirect star formation regulation. This possibility will be addressed in a follow-up study using cosmological zoom-in simulations.
Magnetic fields permeate the Universe from cosmological to molecular cloud scales, but neither their origin nor the mechanism of how they grow in amplitude is pinned down. We have used DiRAC to make headway on this on two fronts. Firstly in Martin-Alvarez et al. 2018, MNRAS, 479,3348 we sought to understand whether hierarchical galaxy growth could amplify extremely weak (~ 10-19 Gauss) primordial magnetic fields to micro-Gauss levels in present day galaxies. For this purpose, we ran a suite of constrained transport magnetohydrodynamical adaptive mesh refinement cosmological zoom simulations with different stellar feedback prescriptions. We found that cosmological accretion at high redshift excited a galactic turbulent dynamo, which amplified the magnetic field even in the absence of stellar feedback. Our convergence tests are the first in the literature to demonstrate the capture of the elusive turbulent dynamo in cosmological simulations of galaxies.
Secondly, in Katz et al. 2019, MNRAS, 484, 2620, we presented an algorithm to trace magnetic fields produced by different sources, ranging from primordial fields generated for example by inflation to magnetic fields injected by supernovae and black holes. The figure above displays the magnetic energy density, color-coded by origin (green corresponds to primordial magnetic fields, red denotes fields injected by supernovae, and blue indicates the interaction of the two) in one of our simulation outputs of a 150 kpc on a side cosmological volume at redshift 4. With this algorithm, we will be able to methodically explore the contributions of different sources to the magnetization of the Universe.
In situ observations from solar and heliospheric spacecraft missions measure power spectra of the solar wind plasma and electromagnetic field fluctuations which show a power-law behaviour over several decades in frequency. This is interpreted as the manifestation of a turbulent cascade of energy from large fluid scales to small kinetic scales, characteristic of the motion of the ions and the electrons. Direct numerical simulations of turbulent plasmas are not only important for interpreting the nature of the solar wind fluctuations at large scales, but also a fundamental tool to understand how energy is channelled to protons and electrons. In particular, the hybrid particle-in-cell model, which treats the ions as particles and the electrons as a charge-neutralizing massless fluid, has proved to be the most appropriate and efficient method to follow the turbulent cascade down to sub-ion scales, retaining ion kinetic effects [1].
We have used DiRAC resources to perform a collection of state-of-the-art two-dimensional (2D, Fig. 1 left panel) and three-dimensional (3D, Fig. 1 middle) hybrid simulations of plasma turbulence, investigating the processes responsible for coronal heating and solar wind heating and acceleration. We have analysed, among other things, the spectral properties (Fig. 1, right), the spectral anisotropy [2], the intermittency properties, and the nature of fluctuations at kinetic scales. We also investigated the interplay between plasma turbulence and the proton firehose instabilities in a slowly expanding plasma, performing the first 3D hybrid simulation employing the expanding-box model, to take into account the solar wind expansion [3].
Our numerical results are being used to interpret in situ observations in the Earth’s magnetosheath and in the solar wind from the Magnetospheric Multiscale (MMS) mission [4], as well as to predict upcoming results from Parker Solar Probe (PSP) and Solar Orbiter.
More recently, we have produced high-resolution high-cadence 2D and 3D data exploring the conditions encountered by PSP on its first perihelion. Analysis of the results is ongoing and it will provide a large amount of information on many different aspects of plasma turbulence, to be directly compared with present and upcoming spacecraft observations.
[1] Franci et al., Solar Wind Turbulent Cascade from MHD to Sub-ion Scales: Large-size 3D Hybrid Particle-in-cell Simulations, ApJ 853(1):26, 2018
[2] Landi et al., Spectral anisotropies and intermittency of plasma turbulence at ion kinetic scales, submitted to ApJL, 2019
[3] Hellinger et al., Turbulence vs. fire hose instabilities: 3-D hybrid expanding box simulations, submitted to ApJ, 2019
[4] Franci et al., Predicting and interpreting data of solar wind turbulence with numerical modelling: hybrid simulations vs. MMS observations, in preparation, 2019
Ragusa et al (MNRAS 474,460: 2018) analysed the longest ever simulation of a planet in a protoplanetary disc, using the FARGO-3D code (Ben´ıtez-Llambay & Masset 2016) to follow a planet’s evolution over a record 300000 orbits. During this time the planet’s eccentricity (blue in figure below) underwent a complex evolutionary variation as it exchanged angular momentum with the disc. The simulations demonstrate that a relatively small (factor three) change in the disc mass has a major effect on the final eccentricity of the planet; the complex evolutionary pattern can be understood in terms of a superposition of precessing eccentric modes of the planet + disc system. These findings are relevant to explaining the significant eccentricity of the first hot Jupiter observed in a protoplanetary disc.
Rosotti & Juhasz (MNRAS 474,L32; 2018) proposed a novel way to probe the vertical temperature profile in protoplanetary discs from measuring the pitch angle of spiral structure in discs in both the infrared and submm. Their hydrodynamic simulations, using the PLUTO code (Mignone et al. 2007) of a planet induced spiral in a disc were post-processed with the radiative transfer code RADMC-3D and were able to demonstrate that spiral structure is significantly more tightly wound in the submm than the infrared. This finding is directly linked to the fact that submm emission traces cold mid-plane regions of the disc. This work means that multi-wavelength observations of spiral structure in real discs can be used as a `dynamical thermometer’ of disc mid-plane regions.
Winter et al (MNRAS 475,552; 2018) presented long timescale Smoothed Particle Hydrodynamical simulations using the GANDALF code (co-developped in house: Hubber et al 2018; MNRAS 473,1603) of a remarkable young stellar system whose widely spaced components are associated with extremely extended far infrared emission. These simulations demonstrated that the morphology of the emission and the kinematics of the stellar components can be explained through a dynamical history involving a previous star-disc encounter. This successful reproduction of an observed system provides some of the first evidence that young stars indeed from dynamically complex few-body systems, as suggested by star formation simulations.
On 25th April 2018, the ESA’s Gaia mission has made its second data release (Gaia DR2). Inspired by our N-body simulations of the Milky Way-like disk in this and our previous projects, Kawata et al. (2014, MNRAS, 443, 2757) and Kawata et al. (2018b, MNRAS, 473, 867), we studied the rotational and vertical velocity structure of the Galactic disk as a function of the Galactocentric radius, across a radial range of 5<Rgal<12 kpc, using the Gaia DR2 data. We find many diagonal ridge features (Fig. 1). We have found also radial wave-like oscillations of the peak of the vertical distribution in the Gaia DR2 data.
We noticed that the diagonal ridge features found in Gaia DR2 looks qualitatively similar to what we see in our N-body/SPH simulations (an example shown in Fig.2). The simulation shows transient spiral arms and we considered that the transient and winding spiral arms act as perturbers in the disk to make these ridge structures. We followed up this idea in Hunt, Hong, Bovy Kawata & Grand (2019, MNRAS, 481, 3794), and using a toy models of transient and winding spiral arms, we showed that the rotation velocity ridge features can be explained with the transient and winding spiral arms.
Current Allocations at 1st May 2019 for Extreme Scaling Edinburgh. All projects start on the first of the month and end on the last of the month.
For more information please email the Project Office.
Table 1: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Extreme Scaling Edinburgh.
| time | storage | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | ES / Mhours | home / GB | work / TB | data / TB | RSE / month |
| PPTM201 | dp006 | Extreme QCD: Quantifying the QCD Phase Diagram IIb | C. Allton | May ‘19 | Mar ‘22 | 309.91 | 57.93 | 5.79 | 28.96 | 3.00 |
| PPTM203 | dp007 | Strong dynamics in the structure of matter | R. Horsley | May ‘19 | Mar ‘22 | 109.22 | 1456.31 | 2.91 | 2.91 | |
| PPTM204 | dp008 | UKQCD–DWF: physics with dynamical chiral quarks | A. Juettner | May ‘19 | Mar ‘22 | 688.83 | 41747.57 | 333.98 | 1603.11 | 18.00 |
Current allocations at 1st May 2019 for Memory Intensive Durham. All projects start on the first of the month and end on the last of the month.
For more information please email the Project Office.
Table 1: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Memory Intensive Durham.
| time | storage | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | COSMA7 / Mhours | COSMA6 / Mhours | home / GB | work / TB | data / TB | RSE / month |
| ACTP177 | dp004 | Virgo: a DiRAC 2.5y Thematic Project 2019 – 2022 | C. Frenk | Apr ‘19 | Mar ‘22 | 179.80 | 9.18 | 960.78 | 1784.31 | 6.00 | |
| ACTP178 | dp034 | Modelling Gravitational Waves from Precessing Black-Hole Binaries | M. Hannam | Apr ‘19 | Mar ‘22 | 11.76 | 16.80 | 39.22 | 39.22 | ||
| ACTP183 / PPTM206 | dp002 | Cosmos Consortium: Unveiling the Structure of the Universe | P. Shellard | Apr ‘19 | Mar ‘22 | 4.12 | 68.63 | 10.29 | 20.59 | ||
| ACTP184 | dp012 | Towards the next frontier of reionization and galaxy formation simulations | D. Sijacki | Apr ‘19 | Mar ‘22 | 13.73 | 7.53 | 13.73 | 205.88 | 1.00 | |
| ACTP185 | dp058 | Galaxy-scale Simulations of Star Formation | R. Smith | Apr ‘19 | Mar ‘20 | 4.30 | 100.00 | 10.00 | 20.00 | ||
| ACTP194 | dp036 | Chemodynamical Simulations of galaxies II | C. Kobayashi | Apr ‘19 | Mar ‘22 | 6.67 | 333.33 | 3.33 | 3.33 | 3.00 | |
Table 2: Time Allocations and Storage from the 9th Resource Allocation Committee Call for Proposals for Memory Intensive Durham that are still active.
| time | storage | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | COSMA6 / Mhours | work / TB | data / TB | RSE / month |
| ACLP113 | dp015 | High Performance Computing Support for Exeter Astrophysics | Prof Matthew Bate | Apr ’17 | Mar ’20 | 6.00 | 10.00 | 30.00 | |
| ACLP114 | dp066 | Astrophysical MHD & Kinetic Simulations | Prof Sam Falle | Apr ’17 | Mar ’20 | 23.28 | 60.00 | 300.00 | |
| ACLP115 | dp004 | Virgo Consortium | Prof Carlos Frenk | Apr ’17 | Mar ’20 | 36.00 | 300.00 | 800.00 | 12 (consumed). |
| ACLP117 | dp010 | UKMHD Consortium: 2 Solar Atmosphere | Prof Alan Hood | Apr ’17 | Mar ’20 | 35.40 | 100.00 | 300.00 | |
| ACLP118 | dp065 | UKMHD Consortium: 1 Solar and Planetary Interiors | Prof David Hughes | Apr ’17 | Mar ’20 | 24.35 | 100.00 | 350.00 | |
| ACLP120 | dp035 | Discs and Planets: Hydrodynamic and Magnetohydrodynamic Evolution | Prof Richard Nelson | Apr ’17 | Mar ’20 | 12.00 | 10.00 | 20.00 | |
| ACLP123 | dp012 | Hydrodynamical simulations of cosmic structure formation at KICC | Dr Debora Sijacki | Apr ’17 | Mar ’20 | 19.99 | |||
| ACLP124 | dp058 | Galaxy-scale Simulations of Star Formation | Dr Rowan Smith | Apr ’17 | Mar ’20 | 4.32 | 10.00 | 20.00 | |
Table 3: Time Allocations and Storage from the 10th Resource Allocation Committee Call for Proposals for Memory Intensive Durham that are still active.
| time | storage | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | MI / Mhours | COSMA6 / Mhours | home / GB | work / TB | data / TB | RSE / month |
| dp015 | ACTP138 | High perfromance computing support for Exeter Astrophysics | Prof Bate, Matthew | May ’18 | Mar ’21 | 7.00 | 180.00 | 1.80 | 10.80 | ||
| dp104 | ACTP141 | Simba: New cosmological simulations to study galaxy-black hole co-evolution | Prof Dave, Romeel | May ’18 | Oct ’19 | 9.00 | 20.00 | 20.00 | 80.00 | ||
| dp004 | ACTP144 | Virgo Consortium | Prof Frenk, Carlos | May ’18 | Mar ’21 | 47.00 | 5.00 | 112.00 | 168.00 | 705.60 | |
| dp040 | ACTP145 | Stellar hydrodynamics, evolution and nucleosynthesis (SHEN) | Dr Hirschi, Raphael | May ’18 | Mar ’21 | 14.00 | 100.00 | 10.00 | 5.00 | 12.00 | |
| dp016 | ACTP151 | Modelling galaxy baryon physics: from cosmological to sub-galactic scales | Prof. Slyz, Adrianne | May ’18 | Mar ’21 | 5.20 | 10.00 | 40.00 | 20.00 | ||
Current Allocations at 1st May 2019 for Data Intensive Leicester. All projects start on the first of the month and end on the last of the month.
For more information please email the Project Office.
Table 1: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Data Intensive Leicester.
| time | storage | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | DI-L / Mhours | home / GB | work / TB | data / TB | RSE / month |
| ACTP173 | dp119 | Signposts of planets | R. Alexander | Apr ‘19 | Mar ‘22 | 5.33 | 65.04 | 38.37 | 18.21 | |
| ACTP174 | dp015 | High Performance Computing Support for Exeter Astrophysics | M. Bate | Apr ‘19 | Mar ‘22 | 62.16 | 1703.09 | 46.83 | 110.70 | |
| ACTP175 | dp110 | Impact crater scaling and inner solar system bombardment | G. Collins | Apr ‘19 | Mar ‘22 | 1.81 | 3.42 | 0.30 | 2.05 | 2.00 |
| ACTP180 | dp065 | Modelling of Stellar and Planetary Interiors (UKMHD1) | D. Hughes | Apr ‘19 | Mar ‘22 | 12.82 | 14.10 | 3.85 | 8.97 | |
| ACTP181 | dp121 | Dynamic accretion in astrophysics | C. Nixon | Apr ‘19 | Mar ‘22 | 5.95 | 254.22 | 30.51 | 5.08 | |
| ACTP182 | dp122 | UKMHD3: Astrophysical MHD | G. Sarson | Apr ‘19 | Mar ‘22 | 19.08 | 123.08 | 24.62 | 123.08 | |
| ACTP183 / PPTM206 | dp002 | Cosmos Consortium: Unveiling the Structure of the Universe | P. Shellard | Apr ‘19 | Mar ‘22 | 6.18 | 143.59 | 21.54 | 43.08 | |
| ACTP187 | dp060 | Spectroscopy of hot exoplanets | S. Yurchenko | Apr ‘19 | Mar ‘22 | 2.05 | 4.10 | 205.13 | 205.13 | 2.00 |
| ACSP188 | dp123 | ZXCorr: Neutrino Mass Hierarchy and Dark Energy from cross-correlations of cosmological fields | F. Abdalla | Apr ‘19 | Mar ‘20 | 3.38 | 30.77 | 5.54 | 0.55 | |
| ACSP193 | dp124 | Three-dimensional models of variability in astrophysical masers | M. Gray | Apr ‘19 | Mar ‘20 | 0.09 | 10.00 | 0.10 | 10.00 | |
| ACSP199 | dp125 | RAFMUS Gen: Radiation feedback in multiscale stellar genesis | B. Vandenbroucke | Apr ‘19 | Sep ‘19 | 0.48 | 1.00 | 10.00 | 10.00 | |
| ACSP200 | dp126 | Identifying and Quantifying the Role of Magnetic Reconnection in Space Plasma Turbulence | D. Versscharen | Apr ‘19 | Oct ‘19 | 1.97 | 1.00 | 8.21 | 8.21 | |
| PPTM201 | dp006 | Extreme QCD: Quantifying the QCD Phase Diagram IIb | C. Allton | May ‘19 | Mar ‘22 | 74.73 | 15.30 | 1.53 | 7.65 | 3.00 |
Table 2: Time Allocations and Storage from the 9th Resource Allocation Committee Call for Proposals for Data Intensive Leicester that are still active.
| time | storage | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | DI-L cluster / Mhours | work / TB | data / TB | RSE / month | |
| ACLP113 | dp015 | High Performance Computing Support for Exeter Astrophysics | Prof Matthew Bate | Apr ’17 | Mar ’20 | 3.60 | 5.00 | 20.00 | ||
| ACLP125 | dp080 | The early phases of protostellar disc evolution (E-DISCS) | Dr Dimitris Stamatellos | Apr ’17 | Mar ’20 | 0.80 | 20.00 | |||
Table 3: Time Allocations and Storage from the 10th Resource Allocation Committee Call for Proposals for Data Intensive Leicester that are still active.
| time | storage | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | DI-L cluster / Mhours | home / GB | work / TB | data / TB | RSE / month |
| dp015 | ACTP138 | High perfromance computing support for Exeter Astrophysics | Prof Bate, Matthew | May ’18 | Mar ’21 | 14.29 | 680.27 | 6.80 | 51.02 | |
| dp031 | ACTP139 | Turbulence, Shocks and Dissipation in Space Plasmas | Prof Burgess, David | May ’18 | Mar ’21 | 1.43 | 476.67 | 2.38 | 4.77 | |
| dp047 | ACTP140 | DISCSIM: The formation and evolution of planets in the era of ALMA | Prof Clarke, Cathy | May ’18 | Mar ’20 | 2.14 | 357.14 | 1.79 | 1.79 | 2.00 |
| dp005 | ACTP143 | Theoretical Astrophysics at Leicester | Prof Dehnen, Walter | May ’18 | Mar ’21 | 8.16 | 79.85 | 83.84 | 7.98 | |
| dp100 | ACTP146 | Photoevaporation and properties of the circumstellar environment | Dr Owen, James | May ’18 | Mar ’21 | 4.07 | 357.14 | 7.14 | 21.43 | |
| dp101 | ACTP147 | Engineering Dwarfs at Galaxy Formation’s Edge | Prof Read, Justin | May ’18 | Mar ’20 | 4.29 | 71.43 | 7.14 | 5.71 | |
| dp079 | ACTP149 | Understanding the Milky Way and disc galaxies with Gaia | Dr Schoenrich, Ralph | May ’18 | Mar ’21 | 1.32 | 85.71 | 0.71 | 3.57 | 3.00 |
| dp016 | ACTP151 | Modelling galaxy baryon physics: from cosmological to sub-galactic scales | Prof. Slyz, Adrianne | May ’18 | Mar ’21 | 25.71 | 10.94 | 109.42 | 27.36 | |
| dp064 | PPTM166 | First principle predictions of large nuclei and nucleonic matter | Dr Barbieri, Carlo | May ’18 | Mar ’21 | 13.71 | 857.14 | 1.43 | 1.43 | |
Current Allocations at 1st May 2019 for Data Intensive Cambridge. All projects start on the first of the month and end on the last of the month.
For more information please email the Project Office.
Table 1: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Data Intensive Cambridge.
| CSD3 time | CSD3 storage | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | CPU / Mhours | KNL / khours | GPU / khours | home / GB | work / TB | data / TB | RSE / month |
| ACTP173 | dp119 | Signposts of planets | R. Alexander | Apr ‘19 | Mar ‘22 | 58.38 | 26.84 | 5.90 | 2.42 | |||
| ACTP176 | dp127 | Galactic Dynamics in the Era of Gaia | V. Debattista | Apr ‘19 | Mar ‘22 | 3.19 | 631.58 | 6.32 | 0.63 | 0.50 | ||
| ACTP179 | dp010 | UKMHD Consortium 2 – Solar Atmosphere (UKMHD2) | A. Hood | Apr ‘19 | Mar ‘22 | 19.19 | 189.47 | 157.89 | 252.63 | 1.00 | ||
| ACTP183 / PPTM206 | dp002 | Cosmos Consortium: Unveiling the Structure of the Universe | P. Shellard | Apr ‘19 | Mar ‘22 | 6.63 | 630.00 | 73.68 | 22.11 | 44.21 | ||
| ACTP184 | dp012 | Towards the next frontier of reionization and galaxy formation simulations | D. Sijacki | Apr ‘19 | Mar ‘22 | 14.74 | 56.45 | 7.37 | 14.74 | 221.05 | 1.00 | |
| ACTP186 | dp128 | Extreme Gravity and Gravitational Waves | U. Sperhake | Apr ‘19 | Mar ‘22 | 7.00 | 329.00 | 52.63 | 52.63 | 35.09 | ||
| ACTP187 | dp060 | Spectroscopy of hot exoplanets | S. Yurchenko | Apr ‘19 | Mar ‘22 | 6.74 | 100.80 | 8.51 | 85.11 | 85.11 | 2.00 | |
| ACSP189 | dp129 | Wave-particle diffusion in the inhomogeneous magnetic fields of the Earth’s Outer Radiation Belt | O. Allanson | Apr ‘19 | Sep ‘19 | 0.60 | 10.00 | 5.00 | ||||
| ACSP190 | dp130 | SNDUST: Dust Survival Rates in Supernova Remnants | M. Barlow | Apr ‘19 | Mar ‘20 | 0.28 | 5.00 | 1.00 | 25.00 | |||
| ACSP191 | dp131 | Exploring fundamental fields with strong gravity | K. Clough | Apr ‘19 | Mar ‘20 | 2.63 | 23.38 | 3.90 | 3.90 | |||
| ACSP192 | dp132 | Constraining inflation and neutrino masses with the Dark Energy Spectroscopic Instrument | A. Font-Ribera | Apr ‘19 | Mar ‘20 | 4.47 | 736.84 | 14.74 | 29.47 | |||
| ACSP195 | dp133 | Diagnosing the high redshift growth of supermassive black holes from local super-critical accretion flows | M. Middleton | Apr ‘19 | Mar ‘20 | 156.25 | 50.00 | 10.00 | 40.00 | 1.00 | ||
| ACSP196 | dp134 | The impact of dynamical friction in gas on structure formation in the Universe | B. Morton, J. Onorbe, S. Khochfar |
Apr ‘19 | Sep ‘19 | 0.50 | 1.00 | 7.00 | ||||
| ACSP197 | dp135 | Gizmo300: Three Hundred Clusters with Gizmo-Simba | F. Pearce | Apr ‘19 | Mar ‘20 | 1.00 | 10.00 | 10.00 | 1.00 | |||
| ACSP198 | dp033 | Simulating Radiative Transfer in Supernovae | S. Sim | Apr ‘19 | Mar ‘20 | 1.68 | 168.42 | 2.53 | 3.00 | |||
| PPTM202 | dp019 | High Precision B physics from lattice QCD (HPQCD) | C. Davies | May ‘19 | Mar ‘22 | 50.53 | 84.21 | 8.42 | 505.26 | |||
| PPTM203 | dp007 | Strong dynamics in the structure of matter | R. Horsley | May ‘19 | Mar ‘22 | 31.88 | 500.00 | 1.05 | 1.05 | |||
| PPTM204 | dp008 | UKQCD–DWF: physics with dynamical chiral quarks | A. Juettner | May ‘19 | Mar ‘22 | 151.70 | 3.61 | 1.81 | 1.81 | 18.00 | ||
| PPTM205 | dp099 | Lattice Holographic Cosmology | A. Portelli | May ‘19 | Mar ‘20 | 14.74 | 736.84 | 14.74 | 73.68 | |||
| PPTM207 | dp051 | Hadron Resonances from Lattice QCD | C. Thomas | May ‘19 | Mar ‘21 | 15.37 | 28.21 | 28.21 | ||||
| PPSP208 | dp136 | Simulation of Sp(2N) gauge theories for Composite Higgs models | L. Biagio, E. Bennett |
May ‘19 | Mar ‘20 | 13.13 | 7.05 | 4.94 | 28.21 | 5.00 | ||
| PPSP209 | dp098 | High-order NSPT for IR conformal theories | L. Del Debbio | May ‘19 | Mar ‘20 | 5.89 | 73.68 | 36.84 | ||||
| PPSP210 | dp137 | Spontaneous Symmetry Breaking in the 3d Thirring Model | S. Hands | May ‘19 | Mar ‘20 | 1.00 | 500.00 | 0.50 | 3.00 | |||
Table 2: Time Allocations and Storage from the 9th Resource Allocation Committee Call for Proposals for Data Intensive Cambridge that are still active.
| CSD3 time | CSD3 storage | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | CPU / Mhours | KNL / khours | GPU / khours | work / TB | data / TB | RSE / month |
| ACLP113 | dp015 | High Performance Computing Support for Exeter Astrophysics | Prof Matthew Bate | Apr ’17 | Mar ’20 | 13.20 | 13.20 | 10.00 | 60.00 | ||
| ACLP123 | dp012 | Hydrodynamical simulations of cosmic structure formation at KICC | Dr Debora Sijacki | Apr ’17 | Mar ’20 | 28.01 | 0.31 | 20.00 | 150.00 | ||
| ACLP125 | dp080 | Â The early phases of protostellar disc evolution | Dr Dimitris Stamatellos | Apr ’17 | Mar ’20 | 0.80 | 20.00 | ||||
Table 3: Time Allocations and Storage from the 10th Resource Allocation Committee Call for Proposals for Data Intensive Cambridge that are still active.
| CSD3 time | CSD3 storage | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | CPU / Mhours | KNL / khours | GPU / khours | home / GB | work / TB | data / TB | RSE / month |
| dp015 | ACTP138 | High perfromance computing support for Exeter Astrophysics | Prof Bate, Matthew | May ’18 | Mar ’21 | 90.00 | 1000.00 | 10.00 | 60.00 | |||
| dp047 | ACTP140 | DISCSIM: The formation and evolution of planets in the era of ALMA | Prof Clarke, Cathy | May ’18 | Mar ’20 | 299.15 | 357.14 | 1.79 | 1.79 | 2.00 | ||
| dp040 | ACTP145 | Stellar hydrodynamics, evolution and nucleosynthesis (SHEN) | Dr Hirschi, Raphael | May ’18 | Mar ’21 | 2.56 | 85.47 | 4.27 | 2.14 | 12.00 | ||
| dp079 | ACTP149 | Understanding the Milky Way and disc galaxies with Gaia | Dr Schoenrich, Ralph | May ’18 | Mar ’21 | 3.75 | 120.00 | 5.00 | 25.00 | 3.00 | ||
| dp019 | PPMT167 | High Precision QCD (computing resources for the hPQCD collaboration) | Prof Davies, Christine | May ’18 | Mar ’21 | 22.50 | 351.50 | 100.00 | 600.00 | 600.00 | 2.00 | |
After each Call has been concluded we publish the compute time allocated to each project, in terms of CPU-Mhours on the DiRAC Resource on which the calculations are to be run, as well as the Storage Space [TB] allocated. In DiRAC we have three compute services and due to the different architectures on each service, the CPU-Mhours awarded to projects using different services may not be directly comprable. All projects start on the first of the month and end on the last of the month.
For more information please email the Project Office
Table 1: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Data Intensive Cambridge.
| CSD3 time / Mhours | CSD3 storage / TB | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | CPU | KNL | GPU | home | work | data | RSE / month |
| ACTP173 | dp119 | Signposts of planets | R. Alexander | Apr ‘19 | Mar ‘22 | 58.38 | 26.84 | 5.90 | 2.42 | |||
| ACTP176 | dp127 | Galactic Dynamics in the Era of Gaia | V. Debattista | Apr ‘19 | Mar ‘22 | 3.19 | 631.58 | 6.32 | 0.63 | 0.50 | ||
| ACTP179 | dp010 | UKMHD Consortium 2 – Solar Atmosphere (UKMHD2) | A. Hood | Apr ‘19 | Mar ‘22 | 19.19 | 189.47 | 157.89 | 252.63 | 1.00 | ||
| ACTP183 / PPTM206 | dp002 | Cosmos Consortium: Unveiling the Structure of the Universe | P. Shellard | Apr ‘19 | Mar ‘22 | 6.63 | 630.00 | 73.68 | 22.11 | 44.21 | ||
| ACTP184 | dp012 | Towards the next frontier of reionization and galaxy formation simulations | D. Sijacki | Apr ‘19 | Mar ‘22 | 14.74 | 56.45 | 7.37 | 14.74 | 221.05 | 1.00 | |
| ACTP186 | dp128 | Extreme Gravity and Gravitational Waves | U. Sperhake | Apr ‘19 | Mar ‘22 | 7.00 | 329.00 | 52.63 | 52.63 | 35.09 | ||
| ACTP187 | dp060 | Spectroscopy of hot exoplanets | S. Yurchenko | Apr ‘19 | Mar ‘22 | 6.74 | 100.80 | 8.51 | 85.11 | 85.11 | 2.00 | |
| ACSP189 | dp129 | Wave-particle diffusion in the inhomogeneous magnetic fields of the Earth’s Outer Radiation Belt | O. Allanson | Apr ‘19 | Sep ‘19 | 0.60 | 10.00 | 5.00 | ||||
| ACSP190 | dp130 | SNDUST: Dust Survival Rates in Supernova Remnants | M. Barlow | Apr ‘19 | Mar ‘20 | 0.28 | 5.00 | 1.00 | 25.00 | |||
| ACSP191 | dp131 | Exploring fundamental fields with strong gravity | K. Clough | Apr ‘19 | Mar ‘20 | 2.63 | 23.38 | 3.90 | 3.90 | |||
| ACSP192 | dp132 | Constraining inflation and neutrino masses with the Dark Energy Spectroscopic Instrument | A. Font-Ribera | Apr ‘19 | Mar ‘20 | 4.47 | 736.84 | 14.74 | 29.47 | |||
| ACSP195 | dp133 | Diagnosing the high redshift growth of supermassive black holes from local super-critical accretion flows | M. Middleton | Apr ‘19 | Mar ‘20 | 156.25 | 50.00 | 10.00 | 40.00 | 1.00 | ||
| ACSP196 | dp134 | The impact of dynamical friction in gas on structure formation in the Universe | B. Morton, J. Onorbe, S. Khochfar |
Apr ‘19 | Sep ‘19 | 0.50 | 1.00 | 7.00 | ||||
| ACSP197 | dp135 | Gizmo300: Three Hundred Clusters with Gizmo-Simba | F. Pearce | Apr ‘19 | Mar ‘20 | 1.00 | 10.00 | 10.00 | 1.00 | |||
| ACSP198 | dp033 | Simulating Radiative Transfer in Supernovae | S. Sim | Apr ‘19 | Mar ‘20 | 1.68 | 168.42 | 2.53 | 3.00 | |||
| PPTM202 | dp019 | High Precision B physics from lattice QCD (HPQCD) | C. Davies | May ‘19 | Mar ‘22 | 50.53 | 84.21 | 8.42 | 505.26 | |||
| PPTM203 | dp007 | Strong dynamics in the structure of matter | R. Horsley | May ‘19 | Mar ‘22 | 31.88 | 500.00 | 1.05 | 1.05 | |||
| PPTM204 | dp008 | UKQCD–DWF: physics with dynamical chiral quarks | A. Juettner | May ‘19 | Mar ‘22 | 151.70 | 3.61 | 1.81 | 1.81 | 18.00 | ||
| PPTM205 | dp099 | Lattice Holographic Cosmology | A. Portelli | May ‘19 | Mar ‘20 | 14.74 | 736.84 | 14.74 | 73.68 | |||
| PPTM207 | dp051 | Hadron Resonances from Lattice QCD | C. Thomas | May ‘19 | Mar ‘21 | 15.37 | 28.21 | 28.21 | ||||
| PPSP208 | dp136 | Simulation of Sp(2N) gauge theories for Composite Higgs models | L. Biagio, E. Bennett |
May ‘19 | Mar ‘20 | 13.13 | 7.05 | 4.94 | 28.21 | 5.00 | ||
| PPSP209 | dp098 | High-order NSPT for IR conformal theories | L. Del Debbio | May ‘19 | Mar ‘20 | 5.89 | 73.68 | 36.84 | ||||
| PPSP210 | dp137 | Spontaneous Symmetry Breaking in the 3d Thirring Model | S. Hands | May ‘19 | Mar ‘20 | 1.00 | 500.00 | 0.50 | 3.00 | |||
Table 2: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Data Intensive Leicester.
| time / Mhours | storage / TB | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | DI-L cluster | home | work | data | RSE / month |
| ACTP173 | dp119 | Signposts of planets | R. Alexander | Apr ‘19 | Mar ‘22 | 5.33 | 65.04 | 38.37 | 18.21 | |
| ACTP174 | dp015 | High Performance Computing Support for Exeter Astrophysics | M. Bate | Apr ‘19 | Mar ‘22 | 62.16 | 1703.09 | 46.83 | 110.70 | |
| ACTP175 | dp110 | Impact crater scaling and inner solar system bombardment | G. Collins | Apr ‘19 | Mar ‘22 | 1.81 | 3.42 | 0.30 | 2.05 | 2.00 |
| ACTP180 | dp065 | Modelling of Stellar and Planetary Interiors (UKMHD1) | D. Hughes | Apr ‘19 | Mar ‘22 | 12.82 | 14.10 | 3.85 | 8.97 | |
| ACTP181 | dp121 | Dynamic accretion in astrophysics | C. Nixon | Apr ‘19 | Mar ‘22 | 5.95 | 254.22 | 30.51 | 5.08 | |
| ACTP182 | dp122 | UKMHD3: Astrophysical MHD | G. Sarson | Apr ‘19 | Mar ‘22 | 19.08 | 123.08 | 24.62 | 123.08 | |
| ACTP183 / PPTM206 | dp002 | Cosmos Consortium: Unveiling the Structure of the Universe | P. Shellard | Apr ‘19 | Mar ‘22 | 6.18 | 143.59 | 21.54 | 43.08 | |
| ACTP187 | dp060 | Spectroscopy of hot exoplanets | S. Yurchenko | Apr ‘19 | Mar ‘22 | 2.05 | 4.10 | 205.13 | 205.13 | 2.00 |
| ACSP188 | dp123 | ZXCorr: Neutrino Mass Hierarchy and Dark Energy from cross-correlations of cosmological fields | F. Abdalla | Apr ‘19 | Mar ‘20 | 3.38 | 30.77 | 5.54 | 0.55 | |
| ACSP193 | dp124 | Three-dimensional models of variability in astrophysical masers | M. Gray | Apr ‘19 | Mar ‘20 | 0.09 | 10.00 | 0.10 | 10.00 | |
| ACSP199 | dp125 | RAFMUS Gen: Radiation feedback in multiscale stellar genesis | B. Vandenbroucke | Apr ‘19 | Sep ‘19 | 0.48 | 1.00 | 10.00 | 10.00 | |
| ACSP200 | dp126 | Identifying and Quantifying the Role of Magnetic Reconnection in Space Plasma Turbulence | D. Versscharen | Apr ‘19 | Oct ‘19 | 1.97 | 1.00 | 8.21 | 8.21 | |
| PPTM201 | dp006 | Extreme QCD: Quantifying the QCD Phase Diagram IIb | C. Allton | May ‘19 | Mar ‘22 | 74.73 | 15.30 | 1.53 | 7.65 | 3.00 |
Table 3: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Memory Intensive Durham.
| time / Mhours | storage / TB | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | COSMA7 | COSMA6 | home | work | data | RSE / month |
| ACTP177 | dp004 | Virgo: a DiRAC 2.5y Thematic Project 2019 – 2022 | C. Frenk | Apr ‘19 | Mar ‘22 | 179.80 | 9.18 | 960.78 | 1784.31 | 6.00 | |
| ACTP178 | dp034 | Modelling Gravitational Waves from Precessing Black-Hole Binaries | M. Hannam | Apr ‘19 | Mar ‘22 | 11.76 | 16.80 | 39.22 | 39.22 | ||
| ACTP183 / PPTM206 | dp002 | Cosmos Consortium: Unveiling the Structure of the Universe | P. Shellard | Apr ‘19 | Mar ‘22 | 4.12 | 68.63 | 10.29 | 20.59 | ||
| ACTP184 | dp012 | Towards the next frontier of reionization and galaxy formation simulations | D. Sijacki | Apr ‘19 | Mar ‘22 | 13.73 | 7.53 | 13.73 | 205.88 | 1.00 | |
| ACTP185 | dp058 | Galaxy-scale Simulations of Star Formation | R. Smith | Apr ‘19 | Mar ‘20 | 4.30 | 100.00 | 10.00 | 20.00 | ||
| ACTP194 | dp036 | Chemodynamical Simulations of galaxies II | C. Kobayashi | Apr ‘19 | Mar ‘22 | 6.67 | 333.33 | 3.33 | 3.33 | 3.00 | |
Table 4: Time Allocations and Storage from the 11th Resource Allocation Committee Call for Proposals for Extreme Scaling Edinburgh.
| time / Mhours | storage / TB | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Application ID | SAFE ID | Project Title | P.I. | Start Date | End Date | COSMA7 | COSMA6 | home | work | data | RSE / month |
| ACTP177 | dp004 | Virgo: a DiRAC 2.5y Thematic Project 2019 – 2022 | C. Frenk | Apr ‘19 | Mar ‘22 | 179.80 | 9.18 | 960.78 | 1784.31 | 6.00 | |
| ACTP178 | dp034 | Modelling Gravitational Waves from Precessing Black-Hole Binaries | M. Hannam | Apr ‘19 | Mar ‘22 | 11.76 | 16.80 | 39.22 | 39.22 | ||
| ACTP183 / PPTM206 | dp002 | Cosmos Consortium: Unveiling the Structure of the Universe | P. Shellard | Apr ‘19 | Mar ‘22 | 4.12 | 68.63 | 10.29 | 20.59 | ||
| ACTP184 | dp012 | Towards the next frontier of reionization and galaxy formation simulations | D. Sijacki | Apr ‘19 | Mar ‘22 | 13.73 | 7.53 | 13.73 | 205.88 | 1.00 | |
| ACTP185 | dp058 | Galaxy-scale Simulations of Star Formation | R. Smith | Apr ‘19 | Mar ‘20 | 4.30 | 100.00 | 10.00 | 20.00 | ||
| ACTP194 | dp036 | Chemodynamical Simulations of galaxies II | C. Kobayashi | Apr ‘19 | Mar ‘22 | 6.67 | 333.33 | 3.33 | 3.33 | 3.00 | |
This Call closed on 30th January 2019
Special Call for DiRAC-2.5y Director’s Discretionary proposals
The DiRAC Director invites the UK theory and modelling communities in Astrophysics, Particle Physics and Nuclear Physics to apply for discretionary computational resources on the STFC DiRAC HPC Facility.
Scope
To celebrate the commissioning of the new DiRAC-2.5y Data Intensive and Memory Intensive services, the Director has decided to make a number of large discretionary awards of DiRAC time on these services during the period January-March 2019. These awards will be made to proposals of outstanding scientific interest and timeliness and which can demonstrate significant benefit from concurrent access to large numbers of nodes during the period prior to commencement of the RAC 11 awards.
Proposals should be ambitious in scope – this is an opportunity to carry out large and/or calculations that might not fit within your existing RAC allocations.
All codes used must have undergone a technical review as part of the RAC process. Codes which have not done so will be requested to submit a technical case prior to the application being considered.
All awarded time must be used by March 31st 2019 and no requests to extend beyond this date will be accepted.
Application process: proposals should be submitted using the DiRAC-2.5y Director’s Discretionary Call application form. The form is attached to this e-mail and will also be available from the DiRAC website.
You must include the application number where the required technical case associated with the software to be used in this application can be obtained. You do not need to resubmit technical information that you have already provided – however, you may be asked to provide evidence of the scalability of your codes if you will be using the code at a larger scale than was previously requested.
Assessment process: Proposals will be reviewed by the Director, the RAC chairs and the Technical Manager.
Closing date: the initial closing date will be 5pm on 18th January 2019. However, proposals will continue to be accepted after this date until all Friday 22nd February or until available resources have been awarded, whichever is the earlier.
Assessment criteria: Proposals will be assessed based on the following criteria:
1. Scientific impact – 60%
2. Track record of user/group – 20%
3. Timeliness/urgency – why would performing this calculation in Jan-Mar 2019 enhance the impact of your science? – 20%
A pdf version of the Application Form is available here.
And a word copy of the Application Form is available here.
Please send the form to DiRACSEEDCORN@jiscmail.ac.uk. (You will receive a mail from JISC requesting positive confirmation that the email did originate with you (to cut down on spam). Simply click on the link in Jisc’s email to approve the message for delivery.)
Access to DiRAC is co-ordinated by The STFC’s DiRAC Resource Allocation Committee, which puts out an annual Call for Proposals to request time for a Full Project Allocation and also operates a Seedcorn Time programme.
For researchers who would like to try the DiRAC resources, get a feel for HPC, test codes, benchmark or see what the DiRAC resources can do for you before making a full application for resources, an application can be made for seedcorn time.
Existing users may also apply for seedcorn allocations to enable code development/testing on a service which is not currently part of their project allocation.
You can apply for seedcorn time at any time.
The maximum allocation of seedcorn time will be 50,000 x86 core hours or 1,000 GPU hours or 1,000 KNL node hours. Your hours can be used at any time within three months from the date it is allocated.
An overview of the DiRAC hardware resources can be found here.
If you would like to apply please fill in this simple “Seedcorn” Application Form and send it to DIRACSEEDCORN@jiscmail.ac.uk. (You will receive a mail from JISC requesting positive confirmation that the email did originate with you (to cut down on spam). Simply click on the link in Jisc’s email to approve the message for delivery.)
You will need to provide your personal details, the codes that you intend to run and what libraries and tools are required for you to run the code, if known. We also would like to know what you intend to achieve with your allocation and of course which of the four DiRAC systems you would like to use.
You should be able to complete the form in around 15 minutes.
The decision process for Seedcorn applications is streamlined and should take no more that 1 week.
