1987
DOI: 10.1016/0550-3213(87)90236-7
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A new model for hadronization and e+e− annihilation

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Cited by 48 publications
(13 citation statements)
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“…It is instructive to note that the negative-sign (13) and (24) dipoles of eq. (33) in fact act to increase the magnitude of the string-like anisotropy effects of the (14) and (23) dipoles.…”
Section: Structure Of Inclusive Particle Flow In W-pair Eventsmentioning
confidence: 99%
See 1 more Smart Citation
“…It is instructive to note that the negative-sign (13) and (24) dipoles of eq. (33) in fact act to increase the magnitude of the string-like anisotropy effects of the (14) and (23) dipoles.…”
Section: Structure Of Inclusive Particle Flow In W-pair Eventsmentioning
confidence: 99%
“…One way out is to relax the mass constraint, by having the string break into variable-mass clusters rather than fixed-mass hadrons. This is the approach taken in the CALTECH-II model [23]. However, it was never possible to achieve a good agreement with data for CALTECH-II.…”
Section: Relevant Features Of String Fragmentationmentioning
confidence: 99%
“…The Caltech-II model [29] employs features of both string and cluster models. The model begins with the generation of an LLA parton shower.…”
Section: The Caltech-ii Modelmentioning
confidence: 99%
“…Comparisons of various measured quantities with the predictions of several hadronization models (Lund [6, 55-57, 67], Webber [28], Caltech-II [29] and UCLA [27]) are shown in figures 7.5 through 7.15. Each Monte Carlo data set is based on 300,000 events, except for that of the UCLA model which is has only 100,000 events.…”
Section: 3mentioning
confidence: 99%
“…The results are compared with distributions generated by QCD+fragmentation model programs via Monte Carlo techniques such as the leading-logarithmic parton shower (Lund PS) [45], the second-order matrix-element calculation (Lund ME) [46], and the model of the Gottschalk and Morris (CALTECH II) [47] at the parton level. The main approach of all these programs is utilizing a model with a few free parameters in the fitting to the data processes.…”
Section: Introductionmentioning
confidence: 99%