Machine Learning based jet momentum reconstruction in heavy-ion collisions

Understand

The precise reconstruction of jet transverse momenta in heavy-ion collisions is a challenging task.

• A major obstacle is the large number of (mainly) low-$p_{\rm T}$ particles overlaying the jets.
• Strong region-to-region fluctuations of this background complicate the jet measurement and lead to significant uncertainties.
• In this paper, a novel approach to correct jet momenta (or energies) for the underlying background in heavy-ion collisions is introduced.