1995
DOI: 10.1016/0370-2693(95)00200-5
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Convolutions, factorial cumulants and intermittency

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Cited by 9 publications
(4 citation statements)
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“…In section 4 we justify this choice by simulating and analysing data sets consisting of a mixture of critical protons generated by the Critical Monte-Carlo (CMC) code [7,12] and randomly distributed protons. We searched for an intermittency effect ∆F (e) 2 (M ) ∼ (M 2 ) φ2 for M 2 ≫ 1 [22,31]. The intermittency index φ 2 can be determined by a power-law fit (PF) to ∆F (e) 2 (M ) in the region of sufficiently large M 2 .…”
Section: Data and Methods Of Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In section 4 we justify this choice by simulating and analysing data sets consisting of a mixture of critical protons generated by the Critical Monte-Carlo (CMC) code [7,12] and randomly distributed protons. We searched for an intermittency effect ∆F (e) 2 (M ) ∼ (M 2 ) φ2 for M 2 ≫ 1 [22,31]. The intermittency index φ 2 can be determined by a power-law fit (PF) to ∆F (e) 2 (M ) in the region of sufficiently large M 2 .…”
Section: Data and Methods Of Analysismentioning
confidence: 99%
“…) ∼ (M 2 ) φ2 for M 2 ≫ 1[22,31]. The intermittency index φ 2 can be determined by a power-law fit (PF) to ∆F(e) 2 (M ) in the region of sufficiently large M 2 .…”
mentioning
confidence: 99%
“…This property is known (see, e.g., Ref. [36] and references therein), but for completeness and to provide a better intuitive understanding we derive it for k ≤ 4 in Appendix A.…”
Section: Acceptance Dependence Of Cumulantsmentioning
confidence: 99%
“…This is in contradiction to the results obtained in nuclear collisions [38], where the Γ-distribution was found to be significantly inconsistent to reproduce the measurements: it underestimates the low-multiplicity parts of the experimental multiplicity distributions in different rapidity bins, while overestimates the high-multiplicity tails. Again in contrast to e + e − data, the NB regularity is found to be the best one to describe small fluctuations in the multiplicity distribution in nuclear data, and large fluctuations are well reproduced by two-particle correlations [38,[40][41][42][43]…”
Section: Normalized Factorial Moments and Cumulants From Various Paramentioning
confidence: 99%