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The ALICE Collaboration reports a new differential measurement of inclusivejet suppression using pp and Pb$-$Pb collision data at center-of-mass energyper nucleon-nucleon collision $\sqrt{s_{\rm NN}} = 5.02$ TeV. Charged-particlejets are reconstructed using the anti-$k_{\rm T}$ algorithm with resolutionparameters $R =$ 0.2, 0.3, 0.4, 0.5, and 0.6 in pp collisions and $R =$ 0.2,0.4, 0.6 in central (0$-$10%), semi-central (30$-$50%), and peripheral(60$-$80%) Pb$-$Pb collisions. The analysis uses a novel approach based onmachine learning to mitigate the influence of jet background in centralheavy-ion collisions, which enables measurements of inclusive jet suppressionfor jet $p_{\rm T} \geq 40$ GeV/$c$ in central collisions at a resolutionparameter of $R = 0.6$. This is the lowest value of jet $p_{\rm T}$ achievedfor inclusive jet measurements at $R=0.6$ at the LHC, and is an important stepfor discriminating different models of jet quenching in the quark-gluon plasma.The transverse momentum spectra, nuclear modification factors, and derivedcross section and nuclear modification factor ratios for different jetresolution parameters of charged-particle jets are presented and compared tomodel predictions. A mild dependence of the nuclear modification factor ratioson collision centrality and resolution parameter is observed. The results arecompared to a variety of jet quenching models with varying levels of agreement,demonstrating the effectiveness of this observable to discriminate betweenmodels.

Measurement of the radius dependence of charged-particle jet suppression in Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV