Conveners
Special Session on Machine Learning
- Carla Aramo
Special Session on Machine Learning
- Jon Paul Lundquist (University of Nova Gorica - Center for Astrophysics and Cosmology)
We introduce the usage of equivariant neural networks in the search for violations of the charge-parity (CP) symmetry in particle interactions at the CERN Large Hadron Collider. We design neural networks that take as inputs kinematic information of recorded events and that transform equivariantly under the a symmetry group related to the CP transformation. We show that this algorithm allows to...
The rapid advancement of artificial intelligence (AI) in recent years has catalyzed its exploration for data processing and analysis in high-energy and heavy-ion physics. In this presentation we investigate the properties of various neural network architectures and their potential applicability in heavy-ion physics experiments. A critical aspect of this study is the compatibility and...
