1980
DOI: 10.1088/0305-4616/6/6/008
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An l-window formalism for elastic heavy-ion scattering

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1983
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Cited by 14 publications
(10 citation statements)
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“…When we have a full PWS with J i = 0 and J f = J max , the term "window representation" is also used in the literature in a different, although related, context. 19,88,89 It is used when an exact rearrangement of the full PWS results in the main numerical contribution coming from a subset of S matrix elements -also called the window region. 19,88,89 Using the definition above, we can now write the window scattering amplitude for r…”
Section:  mentioning
confidence: 99%
“…When we have a full PWS with J i = 0 and J f = J max , the term "window representation" is also used in the literature in a different, although related, context. 19,88,89 It is used when an exact rearrangement of the full PWS results in the main numerical contribution coming from a subset of S matrix elements -also called the window region. 19,88,89 Using the definition above, we can now write the window scattering amplitude for r…”
Section:  mentioning
confidence: 99%
“…Appendix A deduces identities for the Hatchell NF resummed subamplitudes needed in section II. In Appendix B we derive an interesting result: the ''l window representation'', as used to analyse elastic scattering in the presence of strong absorption, 73,74 is a special case of the more general resummation theory presented in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Our implementation of GCMC is based on well known techniques [6], with modifications to improve the sam-pling efficiency in a system with a free surface. In particular, taking inspiration from an idea previously used for bulk liquids [8], we have restricted attempts to create or destroy particles to a region near the surface, where they are much more likely to be accepted.…”
Section: Grand Canonical Monte Carlo Surface Simulation: Technical Dementioning
confidence: 99%
“…The acceptance probability of creation and destruction, p c and p d have then been finally normalized in the form [6]:…”
Section: Grand Canonical Monte Carlo Surface Simulation: Technical Dementioning
confidence: 99%
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