{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.153642.v1","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/2711421"}},{"@id":"https://doi.org/10.1007/JHEP05(2024)184","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"ALICE Collaboration"},"creator":{"@type":"Organization","name":"ALICE Collaboration"},"datePublished":"2024","description":"Results on the transverse spherocity dependence of light-flavor particle production ($\\pi$, K, p, $\\phi$, ${\\rm K^{*0}}$, ${\\rm K}^{0}_{\\rm{S}}$, $\\Lambda$, $\\Xi$) at midrapidity in high-multiplicity pp collisions at $\\sqrt{s} = 13$ TeV were obtained with the ALICE apparatus. The transverse spherocity estimator ($S_{{\\rm O}}^{{\\it p}_{\\rm T}=1}$) categorizes events by their azimuthal topology. Utilizing narrow selections on $S_{\\text{O}}^{{\\it p}_{\\rm T}=1}$, it is possible to contrast particle production in collisions dominated by many soft initial interactions with that observed in collisions dominated by one or more hard scatterings. Results are reported for two multiplicity estimators covering different pseudorapidity regions. The $S_{{\\rm O}}^{{\\it p}_{\\rm T}=1}$ estimator is found to effectively constrain the hardness of the events when the midrapidity ($\\left | \\eta \\right |< 0.8$) estimator is used. The production rates of strange particles are found to be slightly higher for soft isotropic topologies, and severely suppressed in hard jet-like topologies. These effects are more pronounced for hadrons with larger mass and strangeness content, and observed when the topological selection is done within a narrow multiplicity interval. This demonstrates that an important aspect of the universal scaling of strangeness enhancement with final-state multiplicity is that high-multiplicity collisions are dominated by soft, isotropic processes. On the contrary, strangeness production in events with jet-like processes is significantly reduced. The results presented in this article are compared with several QCD-inspired Monte Carlo event generators. Models that incorporate a two-component phenomenology, either through mechanisms accounting for string density, or thermal production, are able to describe the observed strangeness enhancement as a function of $S_{{\\rm O}}^{{\\it p}_{\\rm T}=1}$.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t1","@type":"Dataset","description":"Spherocity distributions with respect to different multiplicity selections.","name":"Table 1"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t2","@type":"Dataset","description":" vs  for different multiplicity and spherocity classes.","name":"Table 2"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t3","@type":"Dataset","description":"pT differential Phi spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 3"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t4","@type":"Dataset","description":"pT differential Proton spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 4"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t5","@type":"Dataset","description":"pT differential Lambda spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 5"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t6","@type":"Dataset","description":"pT differential Xi spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 6"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t7","@type":"Dataset","description":"pT differential Pion spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 7"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t8","@type":"Dataset","description":"pT differential Kaon spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 8"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t9","@type":"Dataset","description":"pT differential K0 spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 9"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t10","@type":"Dataset","description":"pT differential Kstar spectra as a function of spherocity within 0-1% nTracklets.","name":"Table 10"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t11","@type":"Dataset","description":"Mean distributions as a function of Spherocity for nTracklets:0-1%.","name":"Table 11"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t12","@type":"Dataset","description":"pT differential Phito-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 12"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t13","@type":"Dataset","description":"pT differential Protonto-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 13"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t14","@type":"Dataset","description":"pT differential Lambdato-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 14"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t15","@type":"Dataset","description":"pT differential Xito-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 15"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t16","@type":"Dataset","description":"pT differential Kaonto-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 16"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t17","@type":"Dataset","description":"pT differential K0to-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 17"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t18","@type":"Dataset","description":"pT differential Kstarto-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 18"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t19","@type":"Dataset","description":"pT differential Protonto-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 19"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t20","@type":"Dataset","description":"pT differential Lambdato-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 20"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t21","@type":"Dataset","description":"pT differential Xito-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 21"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t22","@type":"Dataset","description":"pT differential Kaonto-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 22"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t23","@type":"Dataset","description":"pT differential K0to-pion ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 23"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t24","@type":"Dataset","description":"pT differential hPoverPi_ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 24"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t25","@type":"Dataset","description":"pT differential hLoverK0s_ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 25"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t26","@type":"Dataset","description":"pT differential hXioverPhi_ratios as a function of spherocity within 0-1% nTracklets.","name":"Table 26"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t27","@type":"Dataset","description":"pT differential hK0soverK_ratios as a function of spherocity within 0-1% nTracklets and V0M.","name":"Table 27"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t28","@type":"Dataset","description":"Integrated double-ratios as a function of spherocity within 0-1% nTracklets, extrapolated over the full pT range.","name":"Table 28"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t29","@type":"Dataset","description":"Integrated double-ratios as a function of spherocity within 0-1% nTracklets, only utilizing the measured pT range.","name":"Table 29"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t30","@type":"Dataset","description":"pT differential Phito-pion ratios as a function of spherocity within 0-10% nTracklets.","name":"Table 30"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t31","@type":"Dataset","description":"pT differential Protonto-pion ratios as a function of spherocity within 0-10% nTracklets.","name":"Table 31"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t32","@type":"Dataset","description":"pT differential Lambdato-pion ratios as a function of spherocity within 0-10% nTracklets.","name":"Table 32"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t33","@type":"Dataset","description":"pT differential Xito-pion ratios as a function of spherocity within 0-10% nTracklets.","name":"Table 33"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t34","@type":"Dataset","description":"pT differential Kaonto-pion ratios as a function of spherocity within 0-10% nTracklets.","name":"Table 34"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t35","@type":"Dataset","description":"pT differential K0to-pion ratios as a function of spherocity within 0-10% nTracklets.","name":"Table 35"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t36","@type":"Dataset","description":"pT differential Kstarto-pion ratios as a function of spherocity within 0-10% nTracklets.","name":"Table 36"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t37","@type":"Dataset","description":"pT differential Phito-pion ratios as a function of spherocity within 0-1% V0M.","name":"Table 37"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t38","@type":"Dataset","description":"pT differential Protonto-pion ratios as a function of spherocity within 0-1% V0M.","name":"Table 38"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t39","@type":"Dataset","description":"pT differential Lambdato-pion ratios as a function of spherocity within 0-1% V0M.","name":"Table 39"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t40","@type":"Dataset","description":"pT differential Xito-pion ratios as a function of spherocity within 0-1% V0M.","name":"Table 40"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t41","@type":"Dataset","description":"pT differential Kaonto-pion ratios as a function of spherocity within 0-1% V0M.","name":"Table 41"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t42","@type":"Dataset","description":"pT differential K0to-pion ratios as a function of spherocity within 0-1% V0M.","name":"Table 42"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t43","@type":"Dataset","description":"pT differential Kstarto-pion ratios as a function of spherocity within 0-1% V0M.","name":"Table 43"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t44","@type":"Dataset","description":"Integrated double-ratios as a function of spherocity within 0-10% nTracklets, only utilizing the measured pT range.","name":"Table 44"},{"@id":"https://doi.org/10.17182/hepdata.153642.v1/t45","@type":"Dataset","description":"Integrated double-ratios as a function of spherocity within 0-1% V0M, only utilizing the measured pT range.","name":"Table 45"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins2711421?version=1"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/153642"}],"inLanguage":"en","name":"Light-flavor particle production in high-multiplicity pp collisions at $\\mathbf{\\sqrt{\\textit{s}} = 13}$ TeV as a function of transverse spherocity","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins2711421?version=1","version":1}