Аннотация:The possibility of separating quark and gluon jets in heavy ion collisions, both in the presenceof the jet quenching effect and in its absence, has been investigated. Using machine learning methods, atechnique has been developed to recover the fraction of quark and gluon jets, using variables characterizing the shape, multiplicity, and charge of the jet. The potential of using these variables to study the characteristics of the dense medium that arises during high-energy ion collisions has been demonstrated.