Tier-2 Computing and Storage for the LHC (GridPP-3)
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Physics and Astronomy
Abstract
'The Grid' is the next leap in computer interconnectivity. The Internet and the World Wide Web are increasingly an integral part of people's lives, helping the world share information and transfer data quickly and easily. In the same way as we now share files and facts over the global network of computers, in the future the Grid will let us share other things, such as processing power and storage space. The Grid is a practical solution to the problems of storing and processing the large quantities of data that will be produced by industry and the scientific communities over the next decade. Particle physicists are waiting for 2007 when a new particle accelerator opens in the world's largest particle physics laboratory, CERN. The Large Hadron Collider (LHC) will be the most powerful instrument ever built to investigate fundamental physics. Once this is fully functional the amount of data being produced will be massive. All this will be too much for one institution to handle so they need to share resources i.e. to use distributed computing. The Grid is built on the same Internet infrastructure as the web, but uses different tools. Middleware is one of these tools. In a stand alone computer the resources allocated to each job are managed by the operating system e.g. Windows, Linux, Unix, Mac OS X. Middleware is like the operating system of a Grid, allowing users to access resources without searching for them manually. GridPP has developed middleware for the Grid, in collaboration with other international projects. Due to GridPP's open source policy, the middleware can evolve and be improved by the people who use it.
Organisations
People |
ORCID iD |
Philip Clark (Principal Investigator) |
Publications
ATLAS Collaboration
(2014)
Search for direct top squark pair production in events with a [Formula: see text] boson, [Formula: see text]-jets and missing transverse momentum in [Formula: see text] TeV [Formula: see text] collisions with the ATLAS detector.
in The European physical journal. C, Particles and fields
Atlas Collaboration
(2016)
Search for an additional, heavy Higgs boson in the [Formula: see text] decay channel at [Formula: see text] in [Formula: see text] collision data with the ATLAS detector.
in The European physical journal. C, Particles and fields
ATLAS Collaboration
(2015)
Performance of the ATLAS muon trigger in pp collisions at [Formula: see text] TeV.
in The European physical journal. C, Particles and fields
ATLAS Collaboration
(2015)
Search for dark matter in events with heavy quarks and missing transverse momentum in [Formula: see text] collisions with the ATLAS detector.
in The European physical journal. C, Particles and fields
ATLAS Collaboration
(2015)
Search for invisible particles produced in association with single-top-quarks in proton-proton collisions at [Formula: see text] with the ATLAS detector.
in The European physical journal. C, Particles and fields
Collaboration T
(2014)
A neural network clustering algorithm for the ATLAS silicon pixel detector
in Journal of Instrumentation
Collaboration T
(2015)
Modelling Z ? tt processes in ATLAS with t-embedded Z ? ยตยต data
in Journal of Instrumentation
Collaboration T
(2014)
Operation and performance of the ATLAS semiconductor tracker
in Journal of Instrumentation
Collaboration T
(2014)
Monitoring and data quality assessment of the ATLAS liquid argon calorimeter
in Journal of Instrumentation