2007
DOI: 10.1142/s0218301307009270
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Lee-Yang Circle Analysis for Generalized Multiplicity Distribution

Abstract: In this work, we study the Lee–Yang solutions of multiplicty distribution (MD) generating function for SPS energies range data. In particular, weighted generalized multiplicity distribution (GMD) function is used to describe the existing shoulder structure in the experimental data. Our study suggest that the existence of the shoulder structure in the KNO plot is accompanied by the forming of an ear structure in the Lee–Yang zeros plot. Prediction for the LHC energy range is also made.

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Cited by 2 publications
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“…Table 1 GMD parameters in (13) for TASSO and AMY data, taken from [9]. The numbers inside the parentheses refer to the total number of multiplicity data N We, however, notice right away that the e + e − multiplicity distributions show some characteristics that distinguish them from their pp and pp counterparts, which we have studied earlier in [22] using the multiplicity data from UA5 Collaboration at √ s = 200, 546 and 900 GeV [23,24]. Here, we have to take into account the "shoulder"-like structure at the tail of the distribution that has become too significant to neglect.…”
Section: Resultsmentioning
confidence: 96%
See 1 more Smart Citation
“…Table 1 GMD parameters in (13) for TASSO and AMY data, taken from [9]. The numbers inside the parentheses refer to the total number of multiplicity data N We, however, notice right away that the e + e − multiplicity distributions show some characteristics that distinguish them from their pp and pp counterparts, which we have studied earlier in [22] using the multiplicity data from UA5 Collaboration at √ s = 200, 546 and 900 GeV [23,24]. Here, we have to take into account the "shoulder"-like structure at the tail of the distribution that has become too significant to neglect.…”
Section: Resultsmentioning
confidence: 96%
“…As the scattering energy goes higher, the semihard component becomes more significant. Thus, the distribution function P n should also be written as the superposition of 2 GMDs, one for soft and the other for semihard term respectively We quote the parameters we used in [22] below (see Table 3), while the Lee-Yang plots are shown in Fig. 4.…”
Section: Resultsmentioning
confidence: 99%