Pseudorapidity distribution study for shower particles emerged in the interactions of 84Kr with emulsion at 1 GeV per nucleon

Pseudorapidity distribution study for shower particles emerged in the interactions of 84Kr with emulsion at 1 GeV per nucleon | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Pseudorapidity distribution study for shower particles emerged in the interactions of 84 Kr with emulsion at 1 GeV per nucleon M. K. Singh, M. Sharma This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9058418/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract An important area of contemporary particle and nuclear physics is investigating the nature of heavy ion reactions at high energies. Pseudorapidity (η), is a crucial parameter for analyzing the mechanisms of particle production in high-energy collisions between nuclei. In this paper η distribution of shower particles produced in the interaction of 84Kr with nuclear emulsions at 1 A GeV have been studied using two different parameters (Nh and Q). The different η-distributions can be described by Gaussian distribution. The statistical moments of the shower particles’ η distribution such as M (mean), σ2 (variance), and scaled variance ω (σ2/M) are measured. The observations reveals that the width (i.e. dispersion) of these distributions showing only a weak dependence on the type of projectile, while the mean value of η increases with increasing projectile mass (AP ). This study also shows that the cascading effect i.e. the created pions scattering on another target nucleon before emission becomes more pronounced as the target size increases. The ω values which characterizes the fluctuations of the distributions, is decreases slowly with increasing Nh values. NED Shower particles Pseudorapidity distribution Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 13 Apr, 2026 Reviews received at journal 08 Apr, 2026 Reviewers agreed at journal 26 Mar, 2026 Reviews received at journal 24 Mar, 2026 Reviewers agreed at journal 16 Mar, 2026 Reviewers invited by journal 15 Mar, 2026 Editor assigned by journal 15 Mar, 2026 Submission checks completed at journal 11 Mar, 2026 First submitted to journal 07 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9058418","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":607095304,"identity":"62c6bc58-1437-414b-958b-2e741081398a","order_by":0,"name":"M. K. 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