GridPP networking infrastructure (DRI) - QMUL Grant

Lead Research Organisation: Queen Mary, University of London
Department Name: Physics

Abstract

Equipment only, agreed in relation to the network infrastructure for robust and resilient computing and storage services for the LHC Grant (DRI -bid).

Planned Impact

Equipment only, agreed in relation to the network infrastructure for robust and resilient computing and storage services for the LHC Grant (DRI -bid).

Publications

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Britton D (2014) How to deal with petabytes of data: the LHC Grid project. in Reports on progress in physics. Physical Society (Great Britain)

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Collaboration T (2014) Monitoring and data quality assessment of the ATLAS liquid argon calorimeter in Journal of Instrumentation

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Collaboration T (2014) A neural network clustering algorithm for the ATLAS silicon pixel detector in Journal of Instrumentation

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Collaboration T (2014) Operation and performance of the ATLAS semiconductor tracker in Journal of Instrumentation

 
Description We have built a Grid to analyse data from the LHC at CERN and elsewhere. This enabled the discovery of the Higgs Boson, the fundamental scalar boson that is predicted to give mass to all other particles.
Exploitation Route Other disciplines can use our facilities or work with us to develop their own.
Sectors Digital/Communication/Information Technologies (including Software)

URL http://www.gridpp.ac.uk
 
Description Other disciplines have used our Grid for their own purposes.
First Year Of Impact 2008
Sector Digital/Communication/Information Technologies (including Software),Education,Pharmaceuticals and Medical Biotechnology
Impact Types Societal