{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.147275.v1","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/2760466"}},{"@id":"https://doi.org/10.1103/PhysRevLett.133.071903","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"CMS Collaboration"},"creator":{"@type":"Organization","name":"CMS Collaboration"},"datePublished":"2024","description":"We measure the two-point and three-point energy correlator jet substructure observables (E2C and E3C), using LHC 13 TeV data collected by the CMS experiment.The jets are clustered by anti-$k_\\mathrm{t}$ algorithm with $R=0.4$ in a phase space region with jet $p_\\mathrm{T}$ from 97 GeV up to 1.8 TeV and $|y|<2.1$.The E2C and E3C distribution are measured in multiple jet transverse momentum regions, they show a sharp transition from the noninteger scaling behavior charaterizing the quantum interactions of quarks and gluons to an integer power law reflective of classical noninteracting hadrons.The ratio of E3C/E2C is directly proportional to the strong coupling constant $\\alpha_S$, and the slopes of the ratio distribution consistent with the expected decrease of $\\alpha_S$ with increasing energy due to asymptotic freedom.The ratio between E3C and E2C are compared to theoretical predictions with all-orders resummation at next-to-next-to-leading logarithmic accuracy matched to a fixed-order next-to-leading order calculation, yielding an $\\alpha_S (m_Z)$ value of $0.1229^{+0.0040}_{-0.0050}$.This is the most precise extraction of $\\alpha_S (m_Z)$ using jet substructure observables to date.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t1","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 97to220"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t2","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 220to330"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t3","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 330to468"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t4","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 468to638"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t5","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 638to846"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t6","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 846to1101"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t7","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 1101to1410"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t8","@type":"Dataset","description":"Unfolded E2C distributions in data compared to MC predictions.","name":"Figure 1 E2C 1410to1784"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t9","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 97to220"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t10","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 220to330"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t11","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 330to468"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t12","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 468to638"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t13","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 638to846"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t14","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 846to1101"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t15","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 1101to1410"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t16","@type":"Dataset","description":"Unfolded E3C distributions in data compared to MC predictions.","name":"Figure 1 E3C 1410to1784"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t17","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 97to220 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t18","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 220to330 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t19","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 330to468 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t20","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 468to638 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t21","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 638to846 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t22","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 846to1101 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t23","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 1101to1410 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t24","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to NLO+NNLL_approx predictions. Theoretial uncertainty in each bin is handled fully correlated as shape...","name":"Figure 2 E3C divided by E2C 1410to1784 compare to NNLL_approx"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t25","@type":"Dataset","description":"The fitted slopes of the E3C/E2C data distributions as a function of jet pt are used to illustrate the dependency...","name":"Figure 2 Fitted slope of E3C divided by E2C data distribution"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t26","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 97to220 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t27","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 220to330 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t28","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 330to468 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t29","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 468to638 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t30","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 638to846 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t31","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 846to1101 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t32","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 1101to1410 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t33","@type":"Dataset","description":"Unfolded E3C/E2C distributions in data compared to MC predictions.","name":"Supplementary E3C divided by E2C 1410to1784 compare to MC"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t34","@type":"Dataset","description":"The chi2 scan result using eq.3 for different alphas.","name":"Supplementary chi2 scan"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t35","@type":"Dataset","description":"The correlation matrix is composed by 10 jet pt region, each region is represented by a block in the plot....","name":"Supplementary E2C stat correlation matrix"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t36","@type":"Dataset","description":"The correlation matrix is composed by 10 jet pt region, each region is represented by a block in the plot....","name":"Supplementary E3C stat correlation matrix"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t37","@type":"Dataset","description":"The correlation matrix is composed by 10 jet pt region, each region is represented by a block in the plot....","name":"Supplementary E3C divided by E2C correlation matrix"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t38","@type":"Dataset","description":"The energy weight of E2C as defined in eq.1 in the paper is used in the unfolding, the binning is...","name":"Supplementary E2C energy weight binning"},{"@id":"https://doi.org/10.17182/hepdata.147275.v1/t39","@type":"Dataset","description":"The energy weight of E3C as defined in eq.1 in the paper is used in the unfolding, the binning is...","name":"Supplementary E3C energy weight binning"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins2760466?version=1"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/147275"}],"inLanguage":"en","name":"Measurement of energy correlators inside jets and determination of the strong coupling $\\alpha_\\mathrm{S}(m_\\mathrm{Z})$","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins2760466?version=1","version":1}