{"title":"Two and Three particle pseudorapidity correlations in \\(^{84}Kr\\)-Emulsion collisions at relativistic energies","authors":"M. Sharma, M. K. Singh","doi":"10.1007/s00601-026-02063-6","DOIUrl":null,"url":null,"abstract":"<div><p>One of the most important methods for comprehending the fundamental dynamics of high energy nuclear interactions is the investigation of multiparticle correlation. In this study two- and three-particle short-range pseudorapidity (<span>\\(\\eta \\)</span>) correlations in <span>\\(^{84}Kr\\)</span>-Em interaction at 1 A GeV are investigated and also examine whether they are energy and mass independent. The analysis is performed using two particle normalized correlation functions (<span>\\(R_{2}\\)</span>) and three particle normalised correlation function (<span>\\(R_{3}\\)</span>) in order to examine the underlying dynamics of multiparticle production and the possible clustering behavior of emitted particles. Cumulative shower formation is responsible for the high two-particle short-range <span>\\(\\eta \\)</span> correlation seen in the reverse direction in the target rest frame. Additionally, an analysis of the cumulative <span>\\(\\eta \\)</span> gap distribution is conducted, and the associated cluster features are presented.</p></div>","PeriodicalId":556,"journal":{"name":"Few-Body Systems","volume":"67 3","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Few-Body Systems","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s00601-026-02063-6","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
One of the most important methods for comprehending the fundamental dynamics of high energy nuclear interactions is the investigation of multiparticle correlation. In this study two- and three-particle short-range pseudorapidity (\(\eta \)) correlations in \(^{84}Kr\)-Em interaction at 1 A GeV are investigated and also examine whether they are energy and mass independent. The analysis is performed using two particle normalized correlation functions (\(R_{2}\)) and three particle normalised correlation function (\(R_{3}\)) in order to examine the underlying dynamics of multiparticle production and the possible clustering behavior of emitted particles. Cumulative shower formation is responsible for the high two-particle short-range \(\eta \) correlation seen in the reverse direction in the target rest frame. Additionally, an analysis of the cumulative \(\eta \) gap distribution is conducted, and the associated cluster features are presented.
期刊介绍:
The journal Few-Body Systems presents original research work – experimental, theoretical and computational – investigating the behavior of any classical or quantum system consisting of a small number of well-defined constituent structures. The focus is on the research methods, properties, and results characteristic of few-body systems. Examples of few-body systems range from few-quark states, light nuclear and hadronic systems; few-electron atomic systems and small molecules; and specific systems in condensed matter and surface physics (such as quantum dots and highly correlated trapped systems), up to and including large-scale celestial structures.
Systems for which an equivalent one-body description is available or can be designed, and large systems for which specific many-body methods are needed are outside the scope of the journal.
The journal is devoted to the publication of all aspects of few-body systems research and applications. While concentrating on few-body systems well-suited to rigorous solutions, the journal also encourages interdisciplinary contributions that foster common approaches and insights, introduce and benchmark the use of novel tools (e.g. machine learning) and develop relevant applications (e.g. few-body aspects in quantum technologies).