{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.138866.v1","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/2182727"}},{"@id":"https://doi.org/10.1007/JHEP07(2023)201","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"ALICE Collaboration"},"creator":{"@type":"Organization","name":"ALICE Collaboration"},"datePublished":"2023","description":"This article reports measurements of the angle between differently defined jet axes in pp collisions at $\\sqrt{s} = 5.02$ TeV carried out by the ALICE Collaboration. Charged particles at midrapidity are clustered into jets with resolution parameters $R=0.2$ and 0.4. The jet axis, before and after Soft Drop grooming, is compared to the jet axis from the Winner-Takes-All (WTA) recombination scheme. The angle between these axes, $\\Delta R_{\\mathrm{axis}}$, probes a wide phase space of the jet formation and evolution, ranging from the initial high-momentum-transfer scattering to the hadronization process. The $\\Delta R_{\\mathrm{axis}}$ observable is presented for $20 < {p_{\\mathrm{T}}^{\\mathrm{ch\\; jet}}}< 100$ GeV/$c$, and compared to predictions from the PYTHIA 8 and Herwig 7 event generators. The distributions can also be calculated analytically with a leading hadronization correction related to the non-perturbative component of the Collins$-$Soper$-$Sterman (CSS) evolution kernel. Comparisons to analytical predictions at next-to-leading-logarithmic accuracy with leading hadronization correction implemented from experimental extractions of the CSS kernel in Drell$-$Yan measurements are presented. The analytical predictions describe the measured data within 20% in the perturbative regime, with surprising agreement in the non-perturbative regime as well. These results are compatible with the universality of the CSS kernel in the context of jet substructure.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.138866.v1/t1","@type":"Dataset","description":"$\\Delta R_{\\rm axis}$ distribution for WTA$\\textendash$Standard for jets of $R=0.2$, in the interval $20&lt;p_{\\rm T}^{\\rm ch \\ jet}&lt;40 \\ {\\rm...","name":"Table 1"},{"@id":"https://doi.org/10.17182/hepdata.138866.v1/t2","@type":"Dataset","description":"$\\Delta R_{\\rm axis}$ distribution for WTA$\\textendash$SD with grooming setting ($z_{\\rm cut}=0.1,\\beta=0$) for jets of $R=0.2$, in the interval $20&lt;p_{\\rm T}^{\\rm...","name":"Table 2"},{"@id":"https://doi.org/10.17182/hepdata.138866.v1/t3","@type":"Dataset","description":"$\\Delta R_{\\rm axis}$ distribution for WTA$\\textendash$SD with grooming setting ($z_{\\rm cut}=0.1,\\beta=1$) for jets of $R=0.2$, in the interval $20&lt;p_{\\rm T}^{\\rm...","name":"Table 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WTA$\\textendash$SD with grooming setting ($z_{\\rm cut}=0.3,\\beta=1$) for jets of $R=0.2$, in the interval $20&lt;p_{\\rm T}^{\\rm...","name":"Table 7"},{"@id":"https://doi.org/10.17182/hepdata.138866.v1/t8","@type":"Dataset","description":"$\\Delta R_{\\rm axis}$ distribution for Standard$\\textendash$SD with grooming setting ($z_{\\rm cut}=0.3,\\beta=1$) for jets of $R=0.2$, in the interval $20&lt;p_{\\rm T}^{\\rm...","name":"Table 8"},{"@id":"https://doi.org/10.17182/hepdata.138866.v1/t9","@type":"Dataset","description":"$\\Delta R_{\\rm axis}$ distribution for Standard$\\textendash$SD with grooming setting ($z_{\\rm cut}=0.2,\\beta=1$) for jets of $R=0.2$, in the interval $20&lt;p_{\\rm T}^{\\rm...","name":"Table 9"},{"@id":"https://doi.org/10.17182/hepdata.138866.v1/t10","@type":"Dataset","description":"$\\Delta R_{\\rm axis}$ distribution for Standard$\\textendash$SD with grooming setting ($z_{\\rm cut}=0.1,\\beta=0$) for jets of $R=0.2$, in the interval $20&lt;p_{\\rm 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