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SUMMARY:Probing identified and strange particle production using event-top
 ology in pp collisions at √s = 13 TeV with ALICE
DTSTART:20260706T090000Z
DTEND:20260706T110000Z
DTSTAMP:20260716T154700Z
UID:indico-event-1645@indico.ifj.edu.pl
DESCRIPTION:Speakers: Rutuparna Rath (IFJ PAN)\n\nHigh-energy proton–pro
 ton (pp) collisions at the Large Hadron Collider provide a unique laborato
 ry to investigate the dynamics of Quantum Chromodynamics (QCD) and the mec
 hanisms responsible for hadron production. While pp collisions have tradit
 ionally served as a baseline for heavy-ion studies\, recent measurements h
 ave revealed intriguing phenomena in high-multiplicity pp events\, includi
 ng strangeness enhancement and collective-like behaviour\, which resemble 
 features observed in larger collision systems. These observations have mot
 ivated detailed studies aimed at disentangling the interplay between soft 
 and hard QCD processes and understanding the origin of such effects in sma
 ll systems.\nIn this seminar\, ALICE results on the transverse-spherocity 
 dependence of light-flavor particle production\, including pions\, kaons\,
  protons\, φ mesons\, K*0 resonances\, K0S\, Λ\, and Ξ baryons\, at mid
 rapidity in high-multiplicity pp collisions at √s = 13 TeV will be prese
 nted. The transverse spherocity estimator is used to classify events accor
 ding to their azimuthal topology\, enabling a differential comparison betw
 een isotropic events dominated by multiple soft interactions and jet-like 
 events dominated by hard scatterings. The seminar will discuss how event t
 opology can be used as a powerful tool to investigate the connection betwe
 en event hardness\, particle production\, and strangeness generation in hi
 gh-multiplicity pp collisions. Comparisons with QCD-inspired Monte Carlo e
 vent generators will also be presented to assess how different model ingre
 dients\, such as multiparton interactions\, string-density effects\, therm
 al-like production mechanisms\, and hadronization dynamics\, describe the 
 observed topology-dependent trends.\n\nhttps://indico.ifj.edu.pl/event/164
 5/
URL:https://indico.ifj.edu.pl/event/1645/
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