2018
DOI: 10.1142/s0217751x18300089
|View full text |Cite
|
Sign up to set email alerts
|

Some intriguing aspects of multiparticle production processes

Abstract: Multiparticle production processes provide valuable information about the mechanism of the conversion of the initial energy of projectiles into a number of secondaries by measuring their multiplicity distributions and their distributions in phase space. They therefore serve as a reference point for more involved measurements. Distributions in phase space are usually investigated using the statistical approach, very successful in general but failing in cases of small colliding systems, small multiplicities, and… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
38
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 29 publications
(38 citation statements)
references
References 193 publications
(300 reference statements)
0
38
0
Order By: Relevance
“…However, such a procedure only improves the agreement at large , whereas the ratio = / still deviates dramatically from unity at small for all fits [4,5]. This means that the measured ( ) contains information which is not yet captured by the rather restrictive recurrence relation (5). Therefore, in [4] we proposed to use a more general form of the recurrence relation (used, for example, in counting statistics when dealing with multiplication effects in point processes [21]):…”
Section: Recurence Relation and Modified Combinantsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, such a procedure only improves the agreement at large , whereas the ratio = / still deviates dramatically from unity at small for all fits [4,5]. This means that the measured ( ) contains information which is not yet captured by the rather restrictive recurrence relation (5). Therefore, in [4] we proposed to use a more general form of the recurrence relation (used, for example, in counting statistics when dealing with multiplication effects in point processes [21]):…”
Section: Recurence Relation and Modified Combinantsmentioning
confidence: 99%
“…Both features were only rarely used as a source of information. We demonstrate that the modified combinants can be extracted experimentally from the measured ( ) by means of a recurrence relation involving all ( < ), and that new information is hidden in their specific distinct oscillatory behavior, which, in most cases, is not observed in the obtained from the ( ) commonly used to fit experimental results [4][5][6][7]. We discuss the possible sources c ○ M. RYBCZYŃSKI, G. WILK, Z. W LODARCZYK, 2019 of such behavior and the connection of the with the enhancement of void probabilities, and their impact on our understanding of the multiparticle production mechanism, with emphasis on understanding both phenomena within the class of compound distributions.…”
Section: Introductionmentioning
confidence: 98%
“…Nevertheless, it seems that some of their properties remain unnoticed or unused as a possible source of such information. In this work we analyse the non-single diffractive (NSD) charged multiplicity distributions concentrating on two features: (i) on the observation that, after closer inspection, they show a peculiarly enhanced void probability, P (0) > P (1) [2,3], and (ii) on the oscillatory behavior of the so called modified combinants, C j , introduced by us in [4,5]. We demonstrate how these modified combinants can be extracted experimentally from the measured P (N ) by means of some recurrence relation involving all P (N < j), and argue that they contain information (located mainly in the small N region) which was so far not disclosed and used.…”
Section: Introductionmentioning
confidence: 99%
“…Recently it was shown that the measured multiplicity distributions, P (N ), contain some additional information on the multiparticle production process, so far undisclosed. [1][2][3][4] The basic idea was to apply the recurrence relation used in counting statistics when dealing with multiplication effects in point processes. 5 Its important feature is that it connects all multiplicities by means of some coefficients C j (modified combinants), which define the corresponding P (N ) in the following way:…”
Section: Introductionmentioning
confidence: 99%