A new application for the Grid: muon ionization cooling for a Neutrino Factory
The muon ionization cooling experiment (MICE) will demonstrate a new technique for reducing the transverse emittance of a beam of muon particles, which are a species of lepton heavier than the electron species, essential for the realization of a future Neutrino Factory research facility. The first u...
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Published in | Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Vol. 368; no. 1926; pp. 4103 - 4113 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
The Royal Society Publishing
13.09.2010
The Royal Society |
Subjects | |
Online Access | Get full text |
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Summary: | The muon ionization cooling experiment (MICE) will demonstrate a new technique for reducing the transverse emittance of a beam of muon particles, which are a species of lepton heavier than the electron species, essential for the realization of a future Neutrino Factory research facility. The first use of the Grid within MICE was to run thousands of Monte Carlo simulations to determine the alignment and statistical errors associated with measurements in MICE, which are made at two points in space on a similar sample of particles. The results of this study quantified the effect of correlations between emittance measurements. As a consequence, it has been determined that an order of magnitude less muons are required to achieve the required statistical accuracy than assuming uncorrelated measurements. This first application of the Grid within the MICE experimental domain has yielded results that could significantly impact upon the necessary running time of the experiment. |
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Bibliography: | istex:63DEDBD0DCBA5824E6254BAC10C849E25212CAD4 ark:/67375/V84-N501WGTK-Q href:rsta20100161.pdf ArticleID:rsta20100161 Theme Issue 'e-Science: past, present and future II' compiled and edited by Paul Watson, Anne Trefethen and Elizabeth Vander Meer ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1364-503X 1471-2962 |
DOI: | 10.1098/rsta.2010.0161 |