Measurements of inclusive jet suppression in Pb--Pb collisions with ALICE

Jets in relativistic heavy-ion collisions interact with the quark-gluon plasma (QGP), leading to effects such as a suppression of inclusive jet yields and modification of internal jet structure that can be used to constrain properties of the QGP. The dependence of inclusive jet suppression on the resolution parameter ($R$) and jet $p_{\rm T}$ is a powerful observable to disentangle competing energy loss mechanisms with a high discriminating power when compared to models. Due to the presence of the large underlying event in heavy-ion collisions, measurements at large $R$ and low $p_{\rm T}$ are limited by the $p_{\rm T}$ resolution achieved using traditional techniques. A new method using machine learning techniques is used to correct the large background in heavy-ion collisions and extend the measurement of inclusive jet yields to lower $p_{\rm T}$ than previously achieved in heavy-ion collisions at the LHC. This talk will present the inclusive jet nuclear modification factors in Pb--Pb collisions in various centrality classes at $\sqrt{s_{\rm NN}} = 5.02$ TeV recorded with the ALICE detector for resolution parameters up to $R$ = 0.6 for jet transverse momenta down to 40 GeV/$c$. These results will also be compared to jet quenching models and other experimental measurements of inclusive jet suppression.