Paper |
Title |
Page |
TUP004 |
GEANT4 Modelling of Heat Deposition into the ISIS Muon Target |
814 |
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- A. Bungau, R. Cywinski
University of Huddersfield, Huddersfield, United Kingdom
- R.J. Barlow
Cockcroft Institute, Warrington, Cheshire, United Kingdom
- C. Bungau
Manchester University, Manchester, United Kingdom
- P.J.C. King, J.S. Lord
STFC/RAL, Chilton, Didcot, Oxon, United Kingdom
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The energy deposition on the ISIS muon target and the temperature profiles are analysed in this paper. The thermal modelling is performed using the GEANT4 Monte Carlo code. Heat deposition patterns are also simulated for alternative target geometries. Energy deposition in the collimators is also discussed.
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THP030 |
GEANT4 Studies of the Thorium Fuel Cycle |
2178 |
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- C. Bungau
Manchester University, Manchester, United Kingdom
- R.J. Barlow
UMAN, Manchester, United Kingdom
- A. Bungau, R. Cywinski
University of Huddersfield, Huddersfield, United Kingdom
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Thorium “fuel” has been proposed as an alternative to uranium fuel in nuclear reactors. New GEANT4 developments allow the Monte Carlo code to be used for the first time in order to simulate the time evolution of the concentration of isotopes present in the Thorium fuel cycle. A full study is performed in order to optimise the production of Uranium-233 starting with "pure" Thorium fuels, leading to levels of Uranium-233 which ensure the operation of the nuclear reactor in a regime close to criticality.
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THP101 |
The MERLIN Simulation Program: New Features used in Studies of the LHC Collimation System using MERLIN |
2312 |
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- R.J. Barlow, R. Appleby, J. Molson, H.L. Owen, A.M. Toader
UMAN, Manchester, United Kingdom
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We present recent developments in the MERLIN particle tracking simulation code, originally developed at DESY. Their use is illustrated by studies of the LHC collimation system. We make detailed comparisons of our results with those of other codes, and also, where possible, with the data. Different beam optics designs are studied, and the effect of new collimator materials for different upgrade scenarios is predicted.
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