Abstract
The ALICE detector located at CERN studies subatomic particles produced in heavy-ion collisions. These collisions generate enormous amounts of particles including photons. The data gathered from these collisions is contaminated with background. This research focuses on generating a viable and efficient machine-learning algorithm for selecting photon conversions and discriminating them
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