Intriguing feature of multiplicity distributions

TL;DR

This paper reveals that multiplicity distributions contain hidden information in the small N region, which can be extracted through modified combinants showing oscillatory behavior, offering new insights into particle production mechanisms.

Contribution

It introduces the analysis of modified combinants Cj to uncover additional information in multiplicity distributions, highlighting oscillations not seen in traditional models.

Findings

Modified combinants exhibit distinct oscillations.

Oscillations suggest new features of production mechanisms.

Small N region contains overlooked information.

Abstract

Multiplicity distributions, P(N), provide valuable information on the mechanism of the production process. We argue that the observed P(N) contain more information (located in the small N region) than expected and used so far. We demonstrate that it can be retrieved by analysing specific combinations of the experimentally measured values of P(N) which we call {it modified combinants, Cj, and which show distinct oscillatory behavior, not observed in the usual phenomenological forms of the P(N) used to fit data. We discuss the possible sources of these oscillations and their impact on our understanding of the multiparticle production mechanism.