Applications
ScotGrid is used for a number of scientific applications.
HEP Applications at Glasgow (Experimental and Theory), Edinburgh (Experimental and Theory) and Durham (Theory)
During the construction phase of the LHC experiments the detector performance needs to be understood and trigger strategies need to be devised to select interesting events. This will require large-scale Monte Carlo simulations known as "Data Challenges" which ScotGrid contributes to as part of the World-wide Grid development
PhenoGrid
phenoGrid is a collaboration of UK Particle Physics Phenomenologists who are developing applications for the LHC
UKQCD Collaboration
The purpose of the UKQCD Collaboration is to procure and jointly exploit computing facilities for lattice field theory calculations whose primary aim is to increase the predictive power of the Standard Model of elementary particle interactions through numerical simulation of Quantum Chromodynamics (QCD).
Bioinformatics
The Bioinformatics Research Centre at the University of Glasgow provides an environment for collaborative interdisciplinary research in Bioinformatics. Its research programme aims to close the loop between the wet-lab and in-silico analysis, actively promoting collaborative projects between life scientists and Bioinformaticians.
Information Retrieval
The Information Retrieval group in Computing Science at Glasgow has a vigorous programme of research based on both theory and experiment, aimed at giving end-users novel, effective, and efficient access to the world of multi-media information. The group's interests include many areas of Web information retrieval such as link analysis, summarisation and the development of novel interaction techniques (e.g., ostension, implicit feedback and graphical visualisation).
Medipix2 Project
The aim of the Collaboration is to carry out the design and evalutation of the Medipix2 read-out ASIC for semiconductor pixel detectors. The design of this single photon counting chip is based on experience with the successful Medipix1 chip and uses a commercial 0.25 micron CMOS process.
Device Modelling
The Device Modelling Group develops state-of-the-art simulation tools which are not available commercially, exploiting finite element 2D and 3D methods, a realistic band particle Monte Carlo approach, and the power of parallel computing. It supports and leads device technology and design programmes in the department, partner universities and industry.
