DiRAC-2 Datacentric support grant
Lead Research Organisation:
Durham University
Department Name: Physics
Abstract
The grant is to pay for management and running costs of the DiRAC-2 Durham datacentric facility for 36 months starting 1/4/14
Planned Impact
DiRAC would seek to engage with industry at various levels, from the provision of computing cycles for industrial applications to the exchange of technical knowledge and shared training programmes. The facility will serve to train young scientists in the most advanced techniques for supercomputing. These have extensive application beyond academia, for example in industry. Finally, output from Dirac-based projects will be used for science outreach activities.
Organisations
Publications
Mitchell M
(2021)
A general framework to test gravity using galaxy clusters - V. A self-consistent pipeline for unbiased constraints of f ( R ) gravity
in Monthly Notices of the Royal Astronomical Society
Mitchell M
(2021)
A general framework to test gravity using galaxy clusters III: observable-mass scaling relations in f ( R ) gravity
in Monthly Notices of the Royal Astronomical Society
Mitchell M
(2021)
A general framework to test gravity using galaxy clusters IV: cluster and halo properties in DGP gravity
in Monthly Notices of the Royal Astronomical Society
Bowesman C
(2023)
A hyperfine-resolved spectroscopic model for vanadium monoxide ( 51 V 16 O)
in Molecular Physics
Goyal J
(2020)
A library of self-consistent simulated exoplanet atmospheres
in Monthly Notices of the Royal Astronomical Society
Wilson B
(2022)
A measurement of the Ly ß forest power spectrum and its cross with the Ly a forest in X-Shooter XQ-100
in Monthly Notices of the Royal Astronomical Society
Pezzella M
(2021)
A method for calculating temperature-dependent photodissociation cross sections and rates.
in Physical chemistry chemical physics : PCCP
Lee E
(2022)
A multisimulation study of relativistic SZ temperature scalings in galaxy clusters and groups
in Monthly Notices of the Royal Astronomical Society
Stothert L
(2019)
A new approach to finding galaxy groups using Markov Clustering
in Monthly Notices of the Royal Astronomical Society: Letters
Hou J
(2018)
A new gas cooling model for semi-analytic galaxy formation models
in Monthly Notices of the Royal Astronomical Society
| Description | The grant supported the DiRAC-2 Data Centric supercomputer service at Durham. This service forms part of the national DiRAC-2 facility that supports theoretical research in astronomy, cosmology and, particle and nuclear physics. The work has led to a large number of scientific publications mainly to do with astronomy. A publication list is provided on the DiRAC website given below. Particular highlights include the first large simulation of galaxy formation in a large volume that is able to accurately reproduce the masses and sizes of galaxies, and the modelling of the first gravitational wave event detected, which was used to help determine the sizes and properties of the black holes that merged and generated the gravitational waves. |
| Exploitation Route | The papers written contribute to the scientific literature and in some cases have been cited hundreds of times. |
| Sectors | Digital/Communication/Information Technologies (including Software),Education,Other |
| URL | https://dirac.ac.uk/science_news.html |